Copyright	(c) 2013-2023 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	Safe-Inferred
Language	Haskell2010

Amazonka.ComputeOptimizer.Types

Contents

Service Configuration
Errors
AutoScalingConfiguration
CpuVendorArchitecture
Currency
CurrentPerformanceRisk
EBSFilterName
EBSFinding
EBSMetricName
ECSServiceLaunchType
ECSServiceMetricName
ECSServiceMetricStatistic
ECSServiceRecommendationFilterName
ECSServiceRecommendationFinding
ECSServiceRecommendationFindingReasonCode
EnhancedInfrastructureMetrics
EnrollmentFilterName
ExportableAutoScalingGroupField
ExportableECSServiceField
ExportableInstanceField
ExportableLambdaFunctionField
ExportableVolumeField
ExternalMetricsSource
FileFormat
FilterName
Finding
FindingReasonCode
InferredWorkloadType
InferredWorkloadTypesPreference
InstanceRecommendationFindingReasonCode
JobFilterName
JobStatus
LambdaFunctionMemoryMetricName
LambdaFunctionMemoryMetricStatistic
LambdaFunctionMetricName
LambdaFunctionMetricStatistic
LambdaFunctionRecommendationFilterName
LambdaFunctionRecommendationFinding
LambdaFunctionRecommendationFindingReasonCode
MetricName
MetricStatistic
MigrationEffort
PlatformDifference
RecommendationPreferenceName
RecommendationSourceType
ResourceType
ScopeName
Status
AccountEnrollmentStatus
AutoScalingGroupConfiguration
AutoScalingGroupRecommendation
AutoScalingGroupRecommendationOption
ContainerConfiguration
ContainerRecommendation
CurrentPerformanceRiskRatings
EBSFilter
EBSUtilizationMetric
ECSServiceProjectedMetric
ECSServiceProjectedUtilizationMetric
ECSServiceRecommendation
ECSServiceRecommendationFilter
ECSServiceRecommendationOption
ECSServiceRecommendedOptionProjectedMetric
ECSServiceUtilizationMetric
EffectiveRecommendationPreferences
EnrollmentFilter
EstimatedMonthlySavings
ExportDestination
ExternalMetricsPreference
Filter
GetRecommendationError
InstanceRecommendation
InstanceRecommendationOption
JobFilter
LambdaFunctionMemoryProjectedMetric
LambdaFunctionMemoryRecommendationOption
LambdaFunctionRecommendation
LambdaFunctionRecommendationFilter
LambdaFunctionUtilizationMetric
MemorySizeConfiguration
ProjectedMetric
ReasonCodeSummary
RecommendationExportJob
RecommendationPreferences
RecommendationPreferencesDetail
RecommendationSource
RecommendationSummary
RecommendedOptionProjectedMetric
S3Destination
S3DestinationConfig
SavingsOpportunity
Scope
ServiceConfiguration
Summary
UtilizationMetric
VolumeConfiguration
VolumeRecommendation
VolumeRecommendationOption

Description

Synopsis

defaultService :: Service
_AccessDeniedException :: AsError a => Fold a ServiceError
_InternalServerException :: AsError a => Fold a ServiceError
_InvalidParameterValueException :: AsError a => Fold a ServiceError
_LimitExceededException :: AsError a => Fold a ServiceError
_MissingAuthenticationToken :: AsError a => Fold a ServiceError
_OptInRequiredException :: AsError a => Fold a ServiceError
_ResourceNotFoundException :: AsError a => Fold a ServiceError
_ServiceUnavailableException :: AsError a => Fold a ServiceError
_ThrottlingException :: AsError a => Fold a ServiceError
newtype AutoScalingConfiguration where
- AutoScalingConfiguration' {
  - fromAutoScalingConfiguration :: Text
  }
- pattern AutoScalingConfiguration_TargetTrackingScalingCpu :: AutoScalingConfiguration
- pattern AutoScalingConfiguration_TargetTrackingScalingMemory :: AutoScalingConfiguration
newtype CpuVendorArchitecture where
- CpuVendorArchitecture' {
  - fromCpuVendorArchitecture :: Text
  }
- pattern CpuVendorArchitecture_AWS_ARM64 :: CpuVendorArchitecture
- pattern CpuVendorArchitecture_CURRENT :: CpuVendorArchitecture
newtype Currency where
- Currency' {
  - fromCurrency :: Text
  }
- pattern Currency_CNY :: Currency
- pattern Currency_USD :: Currency
newtype CurrentPerformanceRisk where
- CurrentPerformanceRisk' {
  - fromCurrentPerformanceRisk :: Text
  }
- pattern CurrentPerformanceRisk_High :: CurrentPerformanceRisk
- pattern CurrentPerformanceRisk_Low :: CurrentPerformanceRisk
- pattern CurrentPerformanceRisk_Medium :: CurrentPerformanceRisk
- pattern CurrentPerformanceRisk_VeryLow :: CurrentPerformanceRisk
newtype EBSFilterName where
- EBSFilterName' {
  - fromEBSFilterName :: Text
  }
- pattern EBSFilterName_Finding :: EBSFilterName
newtype EBSFinding where
- EBSFinding' {
  - fromEBSFinding :: Text
  }
- pattern EBSFinding_NotOptimized :: EBSFinding
- pattern EBSFinding_Optimized :: EBSFinding
newtype EBSMetricName where
- EBSMetricName' {
  - fromEBSMetricName :: Text
  }
- pattern EBSMetricName_VolumeReadBytesPerSecond :: EBSMetricName
- pattern EBSMetricName_VolumeReadOpsPerSecond :: EBSMetricName
- pattern EBSMetricName_VolumeWriteBytesPerSecond :: EBSMetricName
- pattern EBSMetricName_VolumeWriteOpsPerSecond :: EBSMetricName
newtype ECSServiceLaunchType where
- ECSServiceLaunchType' {
  - fromECSServiceLaunchType :: Text
  }
- pattern ECSServiceLaunchType_EC2 :: ECSServiceLaunchType
- pattern ECSServiceLaunchType_Fargate :: ECSServiceLaunchType
newtype ECSServiceMetricName where
- ECSServiceMetricName' {
  - fromECSServiceMetricName :: Text
  }
- pattern ECSServiceMetricName_Cpu :: ECSServiceMetricName
- pattern ECSServiceMetricName_Memory :: ECSServiceMetricName
newtype ECSServiceMetricStatistic where
- ECSServiceMetricStatistic' {
  - fromECSServiceMetricStatistic :: Text
  }
- pattern ECSServiceMetricStatistic_Average :: ECSServiceMetricStatistic
- pattern ECSServiceMetricStatistic_Maximum :: ECSServiceMetricStatistic
newtype ECSServiceRecommendationFilterName where
- ECSServiceRecommendationFilterName' {
  - fromECSServiceRecommendationFilterName :: Text
  }
- pattern ECSServiceRecommendationFilterName_Finding :: ECSServiceRecommendationFilterName
- pattern ECSServiceRecommendationFilterName_FindingReasonCode :: ECSServiceRecommendationFilterName
newtype ECSServiceRecommendationFinding where
- ECSServiceRecommendationFinding' {
  - fromECSServiceRecommendationFinding :: Text
  }
- pattern ECSServiceRecommendationFinding_Optimized :: ECSServiceRecommendationFinding
- pattern ECSServiceRecommendationFinding_Overprovisioned :: ECSServiceRecommendationFinding
- pattern ECSServiceRecommendationFinding_Underprovisioned :: ECSServiceRecommendationFinding
newtype ECSServiceRecommendationFindingReasonCode where
- ECSServiceRecommendationFindingReasonCode' {
  - fromECSServiceRecommendationFindingReasonCode :: Text
  }
- pattern ECSServiceRecommendationFindingReasonCode_CPUOverprovisioned :: ECSServiceRecommendationFindingReasonCode
- pattern ECSServiceRecommendationFindingReasonCode_CPUUnderprovisioned :: ECSServiceRecommendationFindingReasonCode
- pattern ECSServiceRecommendationFindingReasonCode_MemoryOverprovisioned :: ECSServiceRecommendationFindingReasonCode
- pattern ECSServiceRecommendationFindingReasonCode_MemoryUnderprovisioned :: ECSServiceRecommendationFindingReasonCode
newtype EnhancedInfrastructureMetrics where
- EnhancedInfrastructureMetrics' {
  - fromEnhancedInfrastructureMetrics :: Text
  }
- pattern EnhancedInfrastructureMetrics_Active :: EnhancedInfrastructureMetrics
- pattern EnhancedInfrastructureMetrics_Inactive :: EnhancedInfrastructureMetrics
newtype EnrollmentFilterName where
- EnrollmentFilterName' {
  - fromEnrollmentFilterName :: Text
  }
- pattern EnrollmentFilterName_Status :: EnrollmentFilterName
newtype ExportableAutoScalingGroupField where
- ExportableAutoScalingGroupField' {
  - fromExportableAutoScalingGroupField :: Text
  }
- pattern ExportableAutoScalingGroupField_AccountId :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_AutoScalingGroupArn :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_AutoScalingGroupName :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_CurrentConfigurationDesiredCapacity :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_CurrentConfigurationInstanceType :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_CurrentConfigurationMaxSize :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_CurrentConfigurationMinSize :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_CurrentMemory :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_CurrentNetwork :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_CurrentOnDemandPrice :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_CurrentPerformanceRisk :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_CurrentStandardOneYearNoUpfrontReservedPrice :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_CurrentStandardThreeYearNoUpfrontReservedPrice :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_CurrentStorage :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_CurrentVCpus :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_EffectiveRecommendationPreferencesCpuVendorArchitectures :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_EffectiveRecommendationPreferencesEnhancedInfrastructureMetrics :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_EffectiveRecommendationPreferencesInferredWorkloadTypes :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_Finding :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_InferredWorkloadTypes :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_LastRefreshTimestamp :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_LookbackPeriodInDays :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_RecommendationOptionsConfigurationDesiredCapacity :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_RecommendationOptionsConfigurationInstanceType :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_RecommendationOptionsConfigurationMaxSize :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_RecommendationOptionsConfigurationMinSize :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_RecommendationOptionsEstimatedMonthlySavingsCurrency :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_RecommendationOptionsEstimatedMonthlySavingsValue :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_RecommendationOptionsMemory :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_RecommendationOptionsMigrationEffort :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_RecommendationOptionsNetwork :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_RecommendationOptionsOnDemandPrice :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_RecommendationOptionsPerformanceRisk :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_RecommendationOptionsProjectedUtilizationMetricsCpuMaximum :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_RecommendationOptionsProjectedUtilizationMetricsMemoryMaximum :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_RecommendationOptionsSavingsOpportunityPercentage :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_RecommendationOptionsStandardOneYearNoUpfrontReservedPrice :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_RecommendationOptionsStandardThreeYearNoUpfrontReservedPrice :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_RecommendationOptionsStorage :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_RecommendationOptionsVcpus :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_UtilizationMetricsCpuMaximum :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_UtilizationMetricsDiskReadBytesPerSecondMaximum :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_UtilizationMetricsDiskReadOpsPerSecondMaximum :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_UtilizationMetricsDiskWriteBytesPerSecondMaximum :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_UtilizationMetricsDiskWriteOpsPerSecondMaximum :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_UtilizationMetricsEbsReadBytesPerSecondMaximum :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_UtilizationMetricsEbsReadOpsPerSecondMaximum :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_UtilizationMetricsEbsWriteBytesPerSecondMaximum :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_UtilizationMetricsEbsWriteOpsPerSecondMaximum :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_UtilizationMetricsMemoryMaximum :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_UtilizationMetricsNetworkInBytesPerSecondMaximum :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_UtilizationMetricsNetworkOutBytesPerSecondMaximum :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_UtilizationMetricsNetworkPacketsInPerSecondMaximum :: ExportableAutoScalingGroupField
- pattern ExportableAutoScalingGroupField_UtilizationMetricsNetworkPacketsOutPerSecondMaximum :: ExportableAutoScalingGroupField
newtype ExportableECSServiceField where
- ExportableECSServiceField' {
  - fromExportableECSServiceField :: Text
  }
- pattern ExportableECSServiceField_AccountId :: ExportableECSServiceField
- pattern ExportableECSServiceField_CurrentPerformanceRisk :: ExportableECSServiceField
- pattern ExportableECSServiceField_CurrentServiceConfigurationAutoScalingConfiguration :: ExportableECSServiceField
- pattern ExportableECSServiceField_CurrentServiceConfigurationCpu :: ExportableECSServiceField
- pattern ExportableECSServiceField_CurrentServiceConfigurationMemory :: ExportableECSServiceField
- pattern ExportableECSServiceField_CurrentServiceConfigurationTaskDefinitionArn :: ExportableECSServiceField
- pattern ExportableECSServiceField_CurrentServiceContainerConfigurations :: ExportableECSServiceField
- pattern ExportableECSServiceField_Finding :: ExportableECSServiceField
- pattern ExportableECSServiceField_FindingReasonCodes :: ExportableECSServiceField
- pattern ExportableECSServiceField_LastRefreshTimestamp :: ExportableECSServiceField
- pattern ExportableECSServiceField_LaunchType :: ExportableECSServiceField
- pattern ExportableECSServiceField_LookbackPeriodInDays :: ExportableECSServiceField
- pattern ExportableECSServiceField_RecommendationOptionsContainerRecommendations :: ExportableECSServiceField
- pattern ExportableECSServiceField_RecommendationOptionsCpu :: ExportableECSServiceField
- pattern ExportableECSServiceField_RecommendationOptionsEstimatedMonthlySavingsCurrency :: ExportableECSServiceField
- pattern ExportableECSServiceField_RecommendationOptionsEstimatedMonthlySavingsValue :: ExportableECSServiceField
- pattern ExportableECSServiceField_RecommendationOptionsMemory :: ExportableECSServiceField
- pattern ExportableECSServiceField_RecommendationOptionsProjectedUtilizationMetricsCpuMaximum :: ExportableECSServiceField
- pattern ExportableECSServiceField_RecommendationOptionsProjectedUtilizationMetricsMemoryMaximum :: ExportableECSServiceField
- pattern ExportableECSServiceField_RecommendationOptionsSavingsOpportunityPercentage :: ExportableECSServiceField
- pattern ExportableECSServiceField_ServiceArn :: ExportableECSServiceField
- pattern ExportableECSServiceField_UtilizationMetricsCpuMaximum :: ExportableECSServiceField
- pattern ExportableECSServiceField_UtilizationMetricsMemoryMaximum :: ExportableECSServiceField
newtype ExportableInstanceField where
- ExportableInstanceField' {
  - fromExportableInstanceField :: Text
  }
- pattern ExportableInstanceField_AccountId :: ExportableInstanceField
- pattern ExportableInstanceField_CurrentInstanceType :: ExportableInstanceField
- pattern ExportableInstanceField_CurrentMemory :: ExportableInstanceField
- pattern ExportableInstanceField_CurrentNetwork :: ExportableInstanceField
- pattern ExportableInstanceField_CurrentOnDemandPrice :: ExportableInstanceField
- pattern ExportableInstanceField_CurrentPerformanceRisk :: ExportableInstanceField
- pattern ExportableInstanceField_CurrentStandardOneYearNoUpfrontReservedPrice :: ExportableInstanceField
- pattern ExportableInstanceField_CurrentStandardThreeYearNoUpfrontReservedPrice :: ExportableInstanceField
- pattern ExportableInstanceField_CurrentStorage :: ExportableInstanceField
- pattern ExportableInstanceField_CurrentVCpus :: ExportableInstanceField
- pattern ExportableInstanceField_EffectiveRecommendationPreferencesCpuVendorArchitectures :: ExportableInstanceField
- pattern ExportableInstanceField_EffectiveRecommendationPreferencesEnhancedInfrastructureMetrics :: ExportableInstanceField
- pattern ExportableInstanceField_EffectiveRecommendationPreferencesExternalMetricsSource :: ExportableInstanceField
- pattern ExportableInstanceField_EffectiveRecommendationPreferencesInferredWorkloadTypes :: ExportableInstanceField
- pattern ExportableInstanceField_Finding :: ExportableInstanceField
- pattern ExportableInstanceField_FindingReasonCodes :: ExportableInstanceField
- pattern ExportableInstanceField_InferredWorkloadTypes :: ExportableInstanceField
- pattern ExportableInstanceField_InstanceArn :: ExportableInstanceField
- pattern ExportableInstanceField_InstanceName :: ExportableInstanceField
- pattern ExportableInstanceField_LastRefreshTimestamp :: ExportableInstanceField
- pattern ExportableInstanceField_LookbackPeriodInDays :: ExportableInstanceField
- pattern ExportableInstanceField_RecommendationOptionsEstimatedMonthlySavingsCurrency :: ExportableInstanceField
- pattern ExportableInstanceField_RecommendationOptionsEstimatedMonthlySavingsValue :: ExportableInstanceField
- pattern ExportableInstanceField_RecommendationOptionsInstanceType :: ExportableInstanceField
- pattern ExportableInstanceField_RecommendationOptionsMemory :: ExportableInstanceField
- pattern ExportableInstanceField_RecommendationOptionsMigrationEffort :: ExportableInstanceField
- pattern ExportableInstanceField_RecommendationOptionsNetwork :: ExportableInstanceField
- pattern ExportableInstanceField_RecommendationOptionsOnDemandPrice :: ExportableInstanceField
- pattern ExportableInstanceField_RecommendationOptionsPerformanceRisk :: ExportableInstanceField
- pattern ExportableInstanceField_RecommendationOptionsPlatformDifferences :: ExportableInstanceField
- pattern ExportableInstanceField_RecommendationOptionsProjectedUtilizationMetricsCpuMaximum :: ExportableInstanceField
- pattern ExportableInstanceField_RecommendationOptionsProjectedUtilizationMetricsMemoryMaximum :: ExportableInstanceField
- pattern ExportableInstanceField_RecommendationOptionsSavingsOpportunityPercentage :: ExportableInstanceField
- pattern ExportableInstanceField_RecommendationOptionsStandardOneYearNoUpfrontReservedPrice :: ExportableInstanceField
- pattern ExportableInstanceField_RecommendationOptionsStandardThreeYearNoUpfrontReservedPrice :: ExportableInstanceField
- pattern ExportableInstanceField_RecommendationOptionsStorage :: ExportableInstanceField
- pattern ExportableInstanceField_RecommendationOptionsVcpus :: ExportableInstanceField
- pattern ExportableInstanceField_RecommendationsSourcesRecommendationSourceArn :: ExportableInstanceField
- pattern ExportableInstanceField_RecommendationsSourcesRecommendationSourceType :: ExportableInstanceField
- pattern ExportableInstanceField_UtilizationMetricsCpuMaximum :: ExportableInstanceField
- pattern ExportableInstanceField_UtilizationMetricsDiskReadBytesPerSecondMaximum :: ExportableInstanceField
- pattern ExportableInstanceField_UtilizationMetricsDiskReadOpsPerSecondMaximum :: ExportableInstanceField
- pattern ExportableInstanceField_UtilizationMetricsDiskWriteBytesPerSecondMaximum :: ExportableInstanceField
- pattern ExportableInstanceField_UtilizationMetricsDiskWriteOpsPerSecondMaximum :: ExportableInstanceField
- pattern ExportableInstanceField_UtilizationMetricsEbsReadBytesPerSecondMaximum :: ExportableInstanceField
- pattern ExportableInstanceField_UtilizationMetricsEbsReadOpsPerSecondMaximum :: ExportableInstanceField
- pattern ExportableInstanceField_UtilizationMetricsEbsWriteBytesPerSecondMaximum :: ExportableInstanceField
- pattern ExportableInstanceField_UtilizationMetricsEbsWriteOpsPerSecondMaximum :: ExportableInstanceField
- pattern ExportableInstanceField_UtilizationMetricsMemoryMaximum :: ExportableInstanceField
- pattern ExportableInstanceField_UtilizationMetricsNetworkInBytesPerSecondMaximum :: ExportableInstanceField
- pattern ExportableInstanceField_UtilizationMetricsNetworkOutBytesPerSecondMaximum :: ExportableInstanceField
- pattern ExportableInstanceField_UtilizationMetricsNetworkPacketsInPerSecondMaximum :: ExportableInstanceField
- pattern ExportableInstanceField_UtilizationMetricsNetworkPacketsOutPerSecondMaximum :: ExportableInstanceField
newtype ExportableLambdaFunctionField where
- ExportableLambdaFunctionField' {
  - fromExportableLambdaFunctionField :: Text
  }
- pattern ExportableLambdaFunctionField_AccountId :: ExportableLambdaFunctionField
- pattern ExportableLambdaFunctionField_CurrentConfigurationMemorySize :: ExportableLambdaFunctionField
- pattern ExportableLambdaFunctionField_CurrentConfigurationTimeout :: ExportableLambdaFunctionField
- pattern ExportableLambdaFunctionField_CurrentCostAverage :: ExportableLambdaFunctionField
- pattern ExportableLambdaFunctionField_CurrentCostTotal :: ExportableLambdaFunctionField
- pattern ExportableLambdaFunctionField_CurrentPerformanceRisk :: ExportableLambdaFunctionField
- pattern ExportableLambdaFunctionField_Finding :: ExportableLambdaFunctionField
- pattern ExportableLambdaFunctionField_FindingReasonCodes :: ExportableLambdaFunctionField
- pattern ExportableLambdaFunctionField_FunctionArn :: ExportableLambdaFunctionField
- pattern ExportableLambdaFunctionField_FunctionVersion :: ExportableLambdaFunctionField
- pattern ExportableLambdaFunctionField_LastRefreshTimestamp :: ExportableLambdaFunctionField
- pattern ExportableLambdaFunctionField_LookbackPeriodInDays :: ExportableLambdaFunctionField
- pattern ExportableLambdaFunctionField_NumberOfInvocations :: ExportableLambdaFunctionField
- pattern ExportableLambdaFunctionField_RecommendationOptionsConfigurationMemorySize :: ExportableLambdaFunctionField
- pattern ExportableLambdaFunctionField_RecommendationOptionsCostHigh :: ExportableLambdaFunctionField
- pattern ExportableLambdaFunctionField_RecommendationOptionsCostLow :: ExportableLambdaFunctionField
- pattern ExportableLambdaFunctionField_RecommendationOptionsEstimatedMonthlySavingsCurrency :: ExportableLambdaFunctionField
- pattern ExportableLambdaFunctionField_RecommendationOptionsEstimatedMonthlySavingsValue :: ExportableLambdaFunctionField
- pattern ExportableLambdaFunctionField_RecommendationOptionsProjectedUtilizationMetricsDurationExpected :: ExportableLambdaFunctionField
- pattern ExportableLambdaFunctionField_RecommendationOptionsProjectedUtilizationMetricsDurationLowerBound :: ExportableLambdaFunctionField
- pattern ExportableLambdaFunctionField_RecommendationOptionsProjectedUtilizationMetricsDurationUpperBound :: ExportableLambdaFunctionField
- pattern ExportableLambdaFunctionField_RecommendationOptionsSavingsOpportunityPercentage :: ExportableLambdaFunctionField
- pattern ExportableLambdaFunctionField_UtilizationMetricsDurationAverage :: ExportableLambdaFunctionField
- pattern ExportableLambdaFunctionField_UtilizationMetricsDurationMaximum :: ExportableLambdaFunctionField
- pattern ExportableLambdaFunctionField_UtilizationMetricsMemoryAverage :: ExportableLambdaFunctionField
- pattern ExportableLambdaFunctionField_UtilizationMetricsMemoryMaximum :: ExportableLambdaFunctionField
newtype ExportableVolumeField where
- ExportableVolumeField' {
  - fromExportableVolumeField :: Text
  }
- pattern ExportableVolumeField_AccountId :: ExportableVolumeField
- pattern ExportableVolumeField_CurrentConfigurationVolumeBaselineIOPS :: ExportableVolumeField
- pattern ExportableVolumeField_CurrentConfigurationVolumeBaselineThroughput :: ExportableVolumeField
- pattern ExportableVolumeField_CurrentConfigurationVolumeBurstIOPS :: ExportableVolumeField
- pattern ExportableVolumeField_CurrentConfigurationVolumeBurstThroughput :: ExportableVolumeField
- pattern ExportableVolumeField_CurrentConfigurationVolumeSize :: ExportableVolumeField
- pattern ExportableVolumeField_CurrentConfigurationVolumeType :: ExportableVolumeField
- pattern ExportableVolumeField_CurrentMonthlyPrice :: ExportableVolumeField
- pattern ExportableVolumeField_CurrentPerformanceRisk :: ExportableVolumeField
- pattern ExportableVolumeField_Finding :: ExportableVolumeField
- pattern ExportableVolumeField_LastRefreshTimestamp :: ExportableVolumeField
- pattern ExportableVolumeField_LookbackPeriodInDays :: ExportableVolumeField
- pattern ExportableVolumeField_RecommendationOptionsConfigurationVolumeBaselineIOPS :: ExportableVolumeField
- pattern ExportableVolumeField_RecommendationOptionsConfigurationVolumeBaselineThroughput :: ExportableVolumeField
- pattern ExportableVolumeField_RecommendationOptionsConfigurationVolumeBurstIOPS :: ExportableVolumeField
- pattern ExportableVolumeField_RecommendationOptionsConfigurationVolumeBurstThroughput :: ExportableVolumeField
- pattern ExportableVolumeField_RecommendationOptionsConfigurationVolumeSize :: ExportableVolumeField
- pattern ExportableVolumeField_RecommendationOptionsConfigurationVolumeType :: ExportableVolumeField
- pattern ExportableVolumeField_RecommendationOptionsEstimatedMonthlySavingsCurrency :: ExportableVolumeField
- pattern ExportableVolumeField_RecommendationOptionsEstimatedMonthlySavingsValue :: ExportableVolumeField
- pattern ExportableVolumeField_RecommendationOptionsMonthlyPrice :: ExportableVolumeField
- pattern ExportableVolumeField_RecommendationOptionsPerformanceRisk :: ExportableVolumeField
- pattern ExportableVolumeField_RecommendationOptionsSavingsOpportunityPercentage :: ExportableVolumeField
- pattern ExportableVolumeField_UtilizationMetricsVolumeReadBytesPerSecondMaximum :: ExportableVolumeField
- pattern ExportableVolumeField_UtilizationMetricsVolumeReadOpsPerSecondMaximum :: ExportableVolumeField
- pattern ExportableVolumeField_UtilizationMetricsVolumeWriteBytesPerSecondMaximum :: ExportableVolumeField
- pattern ExportableVolumeField_UtilizationMetricsVolumeWriteOpsPerSecondMaximum :: ExportableVolumeField
- pattern ExportableVolumeField_VolumeArn :: ExportableVolumeField
newtype ExternalMetricsSource where
- ExternalMetricsSource' {
  - fromExternalMetricsSource :: Text
  }
- pattern ExternalMetricsSource_Datadog :: ExternalMetricsSource
- pattern ExternalMetricsSource_Dynatrace :: ExternalMetricsSource
- pattern ExternalMetricsSource_Instana :: ExternalMetricsSource
- pattern ExternalMetricsSource_NewRelic :: ExternalMetricsSource
newtype FileFormat where
- FileFormat' {
  - fromFileFormat :: Text
  }
- pattern FileFormat_Csv :: FileFormat
newtype FilterName where
- FilterName' {
  - fromFilterName :: Text
  }
- pattern FilterName_Finding :: FilterName
- pattern FilterName_FindingReasonCodes :: FilterName
- pattern FilterName_RecommendationSourceType :: FilterName
newtype Finding where
- Finding' {
  - fromFinding :: Text
  }
- pattern Finding_NotOptimized :: Finding
- pattern Finding_Optimized :: Finding
- pattern Finding_Overprovisioned :: Finding
- pattern Finding_Underprovisioned :: Finding
newtype FindingReasonCode where
- FindingReasonCode' {
  - fromFindingReasonCode :: Text
  }
- pattern FindingReasonCode_MemoryOverprovisioned :: FindingReasonCode
- pattern FindingReasonCode_MemoryUnderprovisioned :: FindingReasonCode
newtype InferredWorkloadType where
- InferredWorkloadType' {
  - fromInferredWorkloadType :: Text
  }
- pattern InferredWorkloadType_AmazonEmr :: InferredWorkloadType
- pattern InferredWorkloadType_ApacheCassandra :: InferredWorkloadType
- pattern InferredWorkloadType_ApacheHadoop :: InferredWorkloadType
- pattern InferredWorkloadType_Memcached :: InferredWorkloadType
- pattern InferredWorkloadType_Nginx :: InferredWorkloadType
- pattern InferredWorkloadType_PostgreSql :: InferredWorkloadType
- pattern InferredWorkloadType_Redis :: InferredWorkloadType
newtype InferredWorkloadTypesPreference where
- InferredWorkloadTypesPreference' {
  - fromInferredWorkloadTypesPreference :: Text
  }
- pattern InferredWorkloadTypesPreference_Active :: InferredWorkloadTypesPreference
- pattern InferredWorkloadTypesPreference_Inactive :: InferredWorkloadTypesPreference
newtype InstanceRecommendationFindingReasonCode where
- InstanceRecommendationFindingReasonCode' {
  - fromInstanceRecommendationFindingReasonCode :: Text
  }
- pattern InstanceRecommendationFindingReasonCode_CPUOverprovisioned :: InstanceRecommendationFindingReasonCode
- pattern InstanceRecommendationFindingReasonCode_CPUUnderprovisioned :: InstanceRecommendationFindingReasonCode
- pattern InstanceRecommendationFindingReasonCode_DiskIOPSOverprovisioned :: InstanceRecommendationFindingReasonCode
- pattern InstanceRecommendationFindingReasonCode_DiskIOPSUnderprovisioned :: InstanceRecommendationFindingReasonCode
- pattern InstanceRecommendationFindingReasonCode_DiskThroughputOverprovisioned :: InstanceRecommendationFindingReasonCode
- pattern InstanceRecommendationFindingReasonCode_DiskThroughputUnderprovisioned :: InstanceRecommendationFindingReasonCode
- pattern InstanceRecommendationFindingReasonCode_EBSIOPSOverprovisioned :: InstanceRecommendationFindingReasonCode
- pattern InstanceRecommendationFindingReasonCode_EBSIOPSUnderprovisioned :: InstanceRecommendationFindingReasonCode
- pattern InstanceRecommendationFindingReasonCode_EBSThroughputOverprovisioned :: InstanceRecommendationFindingReasonCode
- pattern InstanceRecommendationFindingReasonCode_EBSThroughputUnderprovisioned :: InstanceRecommendationFindingReasonCode
- pattern InstanceRecommendationFindingReasonCode_MemoryOverprovisioned :: InstanceRecommendationFindingReasonCode
- pattern InstanceRecommendationFindingReasonCode_MemoryUnderprovisioned :: InstanceRecommendationFindingReasonCode
- pattern InstanceRecommendationFindingReasonCode_NetworkBandwidthOverprovisioned :: InstanceRecommendationFindingReasonCode
- pattern InstanceRecommendationFindingReasonCode_NetworkBandwidthUnderprovisioned :: InstanceRecommendationFindingReasonCode
- pattern InstanceRecommendationFindingReasonCode_NetworkPPSOverprovisioned :: InstanceRecommendationFindingReasonCode
- pattern InstanceRecommendationFindingReasonCode_NetworkPPSUnderprovisioned :: InstanceRecommendationFindingReasonCode
newtype JobFilterName where
- JobFilterName' {
  - fromJobFilterName :: Text
  }
- pattern JobFilterName_JobStatus :: JobFilterName
- pattern JobFilterName_ResourceType :: JobFilterName
newtype JobStatus where
- JobStatus' {
  - fromJobStatus :: Text
  }
- pattern JobStatus_Complete :: JobStatus
- pattern JobStatus_Failed :: JobStatus
- pattern JobStatus_InProgress :: JobStatus
- pattern JobStatus_Queued :: JobStatus
newtype LambdaFunctionMemoryMetricName where
- LambdaFunctionMemoryMetricName' {
  - fromLambdaFunctionMemoryMetricName :: Text
  }
- pattern LambdaFunctionMemoryMetricName_Duration :: LambdaFunctionMemoryMetricName
newtype LambdaFunctionMemoryMetricStatistic where
- LambdaFunctionMemoryMetricStatistic' {
  - fromLambdaFunctionMemoryMetricStatistic :: Text
  }
- pattern LambdaFunctionMemoryMetricStatistic_Expected :: LambdaFunctionMemoryMetricStatistic
- pattern LambdaFunctionMemoryMetricStatistic_LowerBound :: LambdaFunctionMemoryMetricStatistic
- pattern LambdaFunctionMemoryMetricStatistic_UpperBound :: LambdaFunctionMemoryMetricStatistic
newtype LambdaFunctionMetricName where
- LambdaFunctionMetricName' {
  - fromLambdaFunctionMetricName :: Text
  }
- pattern LambdaFunctionMetricName_Duration :: LambdaFunctionMetricName
- pattern LambdaFunctionMetricName_Memory :: LambdaFunctionMetricName
newtype LambdaFunctionMetricStatistic where
- LambdaFunctionMetricStatistic' {
  - fromLambdaFunctionMetricStatistic :: Text
  }
- pattern LambdaFunctionMetricStatistic_Average :: LambdaFunctionMetricStatistic
- pattern LambdaFunctionMetricStatistic_Maximum :: LambdaFunctionMetricStatistic
newtype LambdaFunctionRecommendationFilterName where
- LambdaFunctionRecommendationFilterName' {
  - fromLambdaFunctionRecommendationFilterName :: Text
  }
- pattern LambdaFunctionRecommendationFilterName_Finding :: LambdaFunctionRecommendationFilterName
- pattern LambdaFunctionRecommendationFilterName_FindingReasonCode :: LambdaFunctionRecommendationFilterName
newtype LambdaFunctionRecommendationFinding where
- LambdaFunctionRecommendationFinding' {
  - fromLambdaFunctionRecommendationFinding :: Text
  }
- pattern LambdaFunctionRecommendationFinding_NotOptimized :: LambdaFunctionRecommendationFinding
- pattern LambdaFunctionRecommendationFinding_Optimized :: LambdaFunctionRecommendationFinding
- pattern LambdaFunctionRecommendationFinding_Unavailable :: LambdaFunctionRecommendationFinding
newtype LambdaFunctionRecommendationFindingReasonCode where
- LambdaFunctionRecommendationFindingReasonCode' {
  - fromLambdaFunctionRecommendationFindingReasonCode :: Text
  }
- pattern LambdaFunctionRecommendationFindingReasonCode_Inconclusive :: LambdaFunctionRecommendationFindingReasonCode
- pattern LambdaFunctionRecommendationFindingReasonCode_InsufficientData :: LambdaFunctionRecommendationFindingReasonCode
- pattern LambdaFunctionRecommendationFindingReasonCode_MemoryOverprovisioned :: LambdaFunctionRecommendationFindingReasonCode
- pattern LambdaFunctionRecommendationFindingReasonCode_MemoryUnderprovisioned :: LambdaFunctionRecommendationFindingReasonCode
newtype MetricName where
- MetricName' {
  - fromMetricName :: Text
  }
- pattern MetricName_Cpu :: MetricName
- pattern MetricName_DISK_READ_BYTES_PER_SECOND :: MetricName
- pattern MetricName_DISK_READ_OPS_PER_SECOND :: MetricName
- pattern MetricName_DISK_WRITE_BYTES_PER_SECOND :: MetricName
- pattern MetricName_DISK_WRITE_OPS_PER_SECOND :: MetricName
- pattern MetricName_EBS_READ_BYTES_PER_SECOND :: MetricName
- pattern MetricName_EBS_READ_OPS_PER_SECOND :: MetricName
- pattern MetricName_EBS_WRITE_BYTES_PER_SECOND :: MetricName
- pattern MetricName_EBS_WRITE_OPS_PER_SECOND :: MetricName
- pattern MetricName_Memory :: MetricName
- pattern MetricName_NETWORK_IN_BYTES_PER_SECOND :: MetricName
- pattern MetricName_NETWORK_OUT_BYTES_PER_SECOND :: MetricName
- pattern MetricName_NETWORK_PACKETS_IN_PER_SECOND :: MetricName
- pattern MetricName_NETWORK_PACKETS_OUT_PER_SECOND :: MetricName
newtype MetricStatistic where
- MetricStatistic' {
  - fromMetricStatistic :: Text
  }
- pattern MetricStatistic_Average :: MetricStatistic
- pattern MetricStatistic_Maximum :: MetricStatistic
newtype MigrationEffort where
- MigrationEffort' {
  - fromMigrationEffort :: Text
  }
- pattern MigrationEffort_High :: MigrationEffort
- pattern MigrationEffort_Low :: MigrationEffort
- pattern MigrationEffort_Medium :: MigrationEffort
- pattern MigrationEffort_VeryLow :: MigrationEffort
newtype PlatformDifference where
- PlatformDifference' {
  - fromPlatformDifference :: Text
  }
- pattern PlatformDifference_Architecture :: PlatformDifference
- pattern PlatformDifference_Hypervisor :: PlatformDifference
- pattern PlatformDifference_InstanceStoreAvailability :: PlatformDifference
- pattern PlatformDifference_NetworkInterface :: PlatformDifference
- pattern PlatformDifference_StorageInterface :: PlatformDifference
- pattern PlatformDifference_VirtualizationType :: PlatformDifference
newtype RecommendationPreferenceName where
- RecommendationPreferenceName' {
  - fromRecommendationPreferenceName :: Text
  }
- pattern RecommendationPreferenceName_EnhancedInfrastructureMetrics :: RecommendationPreferenceName
- pattern RecommendationPreferenceName_ExternalMetricsPreference :: RecommendationPreferenceName
- pattern RecommendationPreferenceName_InferredWorkloadTypes :: RecommendationPreferenceName
newtype RecommendationSourceType where
- RecommendationSourceType' {
  - fromRecommendationSourceType :: Text
  }
- pattern RecommendationSourceType_AutoScalingGroup :: RecommendationSourceType
- pattern RecommendationSourceType_EbsVolume :: RecommendationSourceType
- pattern RecommendationSourceType_Ec2Instance :: RecommendationSourceType
- pattern RecommendationSourceType_EcsService :: RecommendationSourceType
- pattern RecommendationSourceType_LambdaFunction :: RecommendationSourceType
newtype ResourceType where
- ResourceType' {
  - fromResourceType :: Text
  }
- pattern ResourceType_AutoScalingGroup :: ResourceType
- pattern ResourceType_EbsVolume :: ResourceType
- pattern ResourceType_Ec2Instance :: ResourceType
- pattern ResourceType_EcsService :: ResourceType
- pattern ResourceType_LambdaFunction :: ResourceType
- pattern ResourceType_NotApplicable :: ResourceType
newtype ScopeName where
- ScopeName' {
  - fromScopeName :: Text
  }
- pattern ScopeName_AccountId :: ScopeName
- pattern ScopeName_Organization :: ScopeName
- pattern ScopeName_ResourceArn :: ScopeName
newtype Status where
- Status' {
  - fromStatus :: Text
  }
- pattern Status_Active :: Status
- pattern Status_Failed :: Status
- pattern Status_Inactive :: Status
- pattern Status_Pending :: Status
data AccountEnrollmentStatus = AccountEnrollmentStatus' {
- accountId :: Maybe Text
- lastUpdatedTimestamp :: Maybe POSIX
- status :: Maybe Status
- statusReason :: Maybe Text
}
newAccountEnrollmentStatus :: AccountEnrollmentStatus
accountEnrollmentStatus_accountId :: Lens' AccountEnrollmentStatus (Maybe Text)
accountEnrollmentStatus_lastUpdatedTimestamp :: Lens' AccountEnrollmentStatus (Maybe UTCTime)
accountEnrollmentStatus_status :: Lens' AccountEnrollmentStatus (Maybe Status)
accountEnrollmentStatus_statusReason :: Lens' AccountEnrollmentStatus (Maybe Text)
data AutoScalingGroupConfiguration = AutoScalingGroupConfiguration' {
- desiredCapacity :: Maybe Int
- instanceType :: Maybe Text
- maxSize :: Maybe Int
- minSize :: Maybe Int
}
newAutoScalingGroupConfiguration :: AutoScalingGroupConfiguration
autoScalingGroupConfiguration_desiredCapacity :: Lens' AutoScalingGroupConfiguration (Maybe Int)
autoScalingGroupConfiguration_instanceType :: Lens' AutoScalingGroupConfiguration (Maybe Text)
autoScalingGroupConfiguration_maxSize :: Lens' AutoScalingGroupConfiguration (Maybe Int)
autoScalingGroupConfiguration_minSize :: Lens' AutoScalingGroupConfiguration (Maybe Int)
data AutoScalingGroupRecommendation = AutoScalingGroupRecommendation' {
- accountId :: Maybe Text
- autoScalingGroupArn :: Maybe Text
- autoScalingGroupName :: Maybe Text
- currentConfiguration :: Maybe AutoScalingGroupConfiguration
- currentPerformanceRisk :: Maybe CurrentPerformanceRisk
- effectiveRecommendationPreferences :: Maybe EffectiveRecommendationPreferences
- finding :: Maybe Finding
- inferredWorkloadTypes :: Maybe [InferredWorkloadType]
- lastRefreshTimestamp :: Maybe POSIX
- lookBackPeriodInDays :: Maybe Double
- recommendationOptions :: Maybe [AutoScalingGroupRecommendationOption]
- utilizationMetrics :: Maybe [UtilizationMetric]
}
newAutoScalingGroupRecommendation :: AutoScalingGroupRecommendation
autoScalingGroupRecommendation_accountId :: Lens' AutoScalingGroupRecommendation (Maybe Text)
autoScalingGroupRecommendation_autoScalingGroupArn :: Lens' AutoScalingGroupRecommendation (Maybe Text)
autoScalingGroupRecommendation_autoScalingGroupName :: Lens' AutoScalingGroupRecommendation (Maybe Text)
autoScalingGroupRecommendation_currentConfiguration :: Lens' AutoScalingGroupRecommendation (Maybe AutoScalingGroupConfiguration)
autoScalingGroupRecommendation_currentPerformanceRisk :: Lens' AutoScalingGroupRecommendation (Maybe CurrentPerformanceRisk)
autoScalingGroupRecommendation_effectiveRecommendationPreferences :: Lens' AutoScalingGroupRecommendation (Maybe EffectiveRecommendationPreferences)
autoScalingGroupRecommendation_finding :: Lens' AutoScalingGroupRecommendation (Maybe Finding)
autoScalingGroupRecommendation_inferredWorkloadTypes :: Lens' AutoScalingGroupRecommendation (Maybe [InferredWorkloadType])
autoScalingGroupRecommendation_lastRefreshTimestamp :: Lens' AutoScalingGroupRecommendation (Maybe UTCTime)
autoScalingGroupRecommendation_lookBackPeriodInDays :: Lens' AutoScalingGroupRecommendation (Maybe Double)
autoScalingGroupRecommendation_recommendationOptions :: Lens' AutoScalingGroupRecommendation (Maybe [AutoScalingGroupRecommendationOption])
autoScalingGroupRecommendation_utilizationMetrics :: Lens' AutoScalingGroupRecommendation (Maybe [UtilizationMetric])
data AutoScalingGroupRecommendationOption = AutoScalingGroupRecommendationOption' {
- configuration :: Maybe AutoScalingGroupConfiguration
- migrationEffort :: Maybe MigrationEffort
- performanceRisk :: Maybe Double
- projectedUtilizationMetrics :: Maybe [UtilizationMetric]
- rank :: Maybe Int
- savingsOpportunity :: Maybe SavingsOpportunity
}
newAutoScalingGroupRecommendationOption :: AutoScalingGroupRecommendationOption
autoScalingGroupRecommendationOption_configuration :: Lens' AutoScalingGroupRecommendationOption (Maybe AutoScalingGroupConfiguration)
autoScalingGroupRecommendationOption_migrationEffort :: Lens' AutoScalingGroupRecommendationOption (Maybe MigrationEffort)
autoScalingGroupRecommendationOption_performanceRisk :: Lens' AutoScalingGroupRecommendationOption (Maybe Double)
autoScalingGroupRecommendationOption_projectedUtilizationMetrics :: Lens' AutoScalingGroupRecommendationOption (Maybe [UtilizationMetric])
autoScalingGroupRecommendationOption_rank :: Lens' AutoScalingGroupRecommendationOption (Maybe Int)
autoScalingGroupRecommendationOption_savingsOpportunity :: Lens' AutoScalingGroupRecommendationOption (Maybe SavingsOpportunity)
data ContainerConfiguration = ContainerConfiguration' {
- containerName :: Maybe Text
- cpu :: Maybe Int
- memorySizeConfiguration :: Maybe MemorySizeConfiguration
}
newContainerConfiguration :: ContainerConfiguration
containerConfiguration_containerName :: Lens' ContainerConfiguration (Maybe Text)
containerConfiguration_cpu :: Lens' ContainerConfiguration (Maybe Int)
containerConfiguration_memorySizeConfiguration :: Lens' ContainerConfiguration (Maybe MemorySizeConfiguration)
data ContainerRecommendation = ContainerRecommendation' {
- containerName :: Maybe Text
- cpu :: Maybe Int
- memorySizeConfiguration :: Maybe MemorySizeConfiguration
}
newContainerRecommendation :: ContainerRecommendation
containerRecommendation_containerName :: Lens' ContainerRecommendation (Maybe Text)
containerRecommendation_cpu :: Lens' ContainerRecommendation (Maybe Int)
containerRecommendation_memorySizeConfiguration :: Lens' ContainerRecommendation (Maybe MemorySizeConfiguration)
data CurrentPerformanceRiskRatings = CurrentPerformanceRiskRatings' {
- high :: Maybe Integer
- low :: Maybe Integer
- medium :: Maybe Integer
- veryLow :: Maybe Integer
}
newCurrentPerformanceRiskRatings :: CurrentPerformanceRiskRatings
currentPerformanceRiskRatings_high :: Lens' CurrentPerformanceRiskRatings (Maybe Integer)
currentPerformanceRiskRatings_low :: Lens' CurrentPerformanceRiskRatings (Maybe Integer)
currentPerformanceRiskRatings_medium :: Lens' CurrentPerformanceRiskRatings (Maybe Integer)
currentPerformanceRiskRatings_veryLow :: Lens' CurrentPerformanceRiskRatings (Maybe Integer)
data EBSFilter = EBSFilter' {
- name :: Maybe EBSFilterName
- values :: Maybe [Text]
}
newEBSFilter :: EBSFilter
eBSFilter_name :: Lens' EBSFilter (Maybe EBSFilterName)
eBSFilter_values :: Lens' EBSFilter (Maybe [Text])
data EBSUtilizationMetric = EBSUtilizationMetric' {
- name :: Maybe EBSMetricName
- statistic :: Maybe MetricStatistic
- value :: Maybe Double
}
newEBSUtilizationMetric :: EBSUtilizationMetric
eBSUtilizationMetric_name :: Lens' EBSUtilizationMetric (Maybe EBSMetricName)
eBSUtilizationMetric_statistic :: Lens' EBSUtilizationMetric (Maybe MetricStatistic)
eBSUtilizationMetric_value :: Lens' EBSUtilizationMetric (Maybe Double)
data ECSServiceProjectedMetric = ECSServiceProjectedMetric' {
- lowerBoundValues :: Maybe [Double]
- name :: Maybe ECSServiceMetricName
- timestamps :: Maybe [POSIX]
- upperBoundValues :: Maybe [Double]
}
newECSServiceProjectedMetric :: ECSServiceProjectedMetric
eCSServiceProjectedMetric_lowerBoundValues :: Lens' ECSServiceProjectedMetric (Maybe [Double])
eCSServiceProjectedMetric_name :: Lens' ECSServiceProjectedMetric (Maybe ECSServiceMetricName)
eCSServiceProjectedMetric_timestamps :: Lens' ECSServiceProjectedMetric (Maybe [UTCTime])
eCSServiceProjectedMetric_upperBoundValues :: Lens' ECSServiceProjectedMetric (Maybe [Double])
data ECSServiceProjectedUtilizationMetric = ECSServiceProjectedUtilizationMetric' {
- lowerBoundValue :: Maybe Double
- name :: Maybe ECSServiceMetricName
- statistic :: Maybe ECSServiceMetricStatistic
- upperBoundValue :: Maybe Double
}
newECSServiceProjectedUtilizationMetric :: ECSServiceProjectedUtilizationMetric
eCSServiceProjectedUtilizationMetric_lowerBoundValue :: Lens' ECSServiceProjectedUtilizationMetric (Maybe Double)
eCSServiceProjectedUtilizationMetric_name :: Lens' ECSServiceProjectedUtilizationMetric (Maybe ECSServiceMetricName)
eCSServiceProjectedUtilizationMetric_statistic :: Lens' ECSServiceProjectedUtilizationMetric (Maybe ECSServiceMetricStatistic)
eCSServiceProjectedUtilizationMetric_upperBoundValue :: Lens' ECSServiceProjectedUtilizationMetric (Maybe Double)
data ECSServiceRecommendation = ECSServiceRecommendation' {
- accountId :: Maybe Text
- currentPerformanceRisk :: Maybe CurrentPerformanceRisk
- currentServiceConfiguration :: Maybe ServiceConfiguration
- finding :: Maybe ECSServiceRecommendationFinding
- findingReasonCodes :: Maybe [ECSServiceRecommendationFindingReasonCode]
- lastRefreshTimestamp :: Maybe POSIX
- launchType :: Maybe ECSServiceLaunchType
- lookbackPeriodInDays :: Maybe Double
- serviceArn :: Maybe Text
- serviceRecommendationOptions :: Maybe [ECSServiceRecommendationOption]
- utilizationMetrics :: Maybe [ECSServiceUtilizationMetric]
}
newECSServiceRecommendation :: ECSServiceRecommendation
eCSServiceRecommendation_accountId :: Lens' ECSServiceRecommendation (Maybe Text)
eCSServiceRecommendation_currentPerformanceRisk :: Lens' ECSServiceRecommendation (Maybe CurrentPerformanceRisk)
eCSServiceRecommendation_currentServiceConfiguration :: Lens' ECSServiceRecommendation (Maybe ServiceConfiguration)
eCSServiceRecommendation_finding :: Lens' ECSServiceRecommendation (Maybe ECSServiceRecommendationFinding)
eCSServiceRecommendation_findingReasonCodes :: Lens' ECSServiceRecommendation (Maybe [ECSServiceRecommendationFindingReasonCode])
eCSServiceRecommendation_lastRefreshTimestamp :: Lens' ECSServiceRecommendation (Maybe UTCTime)
eCSServiceRecommendation_launchType :: Lens' ECSServiceRecommendation (Maybe ECSServiceLaunchType)
eCSServiceRecommendation_lookbackPeriodInDays :: Lens' ECSServiceRecommendation (Maybe Double)
eCSServiceRecommendation_serviceArn :: Lens' ECSServiceRecommendation (Maybe Text)
eCSServiceRecommendation_serviceRecommendationOptions :: Lens' ECSServiceRecommendation (Maybe [ECSServiceRecommendationOption])
eCSServiceRecommendation_utilizationMetrics :: Lens' ECSServiceRecommendation (Maybe [ECSServiceUtilizationMetric])
data ECSServiceRecommendationFilter = ECSServiceRecommendationFilter' {
- name :: Maybe ECSServiceRecommendationFilterName
- values :: Maybe [Text]
}
newECSServiceRecommendationFilter :: ECSServiceRecommendationFilter
eCSServiceRecommendationFilter_name :: Lens' ECSServiceRecommendationFilter (Maybe ECSServiceRecommendationFilterName)
eCSServiceRecommendationFilter_values :: Lens' ECSServiceRecommendationFilter (Maybe [Text])
data ECSServiceRecommendationOption = ECSServiceRecommendationOption' {
- containerRecommendations :: Maybe [ContainerRecommendation]
- cpu :: Maybe Int
- memory :: Maybe Int
- projectedUtilizationMetrics :: Maybe [ECSServiceProjectedUtilizationMetric]
- savingsOpportunity :: Maybe SavingsOpportunity
}
newECSServiceRecommendationOption :: ECSServiceRecommendationOption
eCSServiceRecommendationOption_containerRecommendations :: Lens' ECSServiceRecommendationOption (Maybe [ContainerRecommendation])
eCSServiceRecommendationOption_cpu :: Lens' ECSServiceRecommendationOption (Maybe Int)
eCSServiceRecommendationOption_memory :: Lens' ECSServiceRecommendationOption (Maybe Int)
eCSServiceRecommendationOption_projectedUtilizationMetrics :: Lens' ECSServiceRecommendationOption (Maybe [ECSServiceProjectedUtilizationMetric])
eCSServiceRecommendationOption_savingsOpportunity :: Lens' ECSServiceRecommendationOption (Maybe SavingsOpportunity)
data ECSServiceRecommendedOptionProjectedMetric = ECSServiceRecommendedOptionProjectedMetric' {
- projectedMetrics :: Maybe [ECSServiceProjectedMetric]
- recommendedCpuUnits :: Maybe Int
- recommendedMemorySize :: Maybe Int
}
newECSServiceRecommendedOptionProjectedMetric :: ECSServiceRecommendedOptionProjectedMetric
eCSServiceRecommendedOptionProjectedMetric_projectedMetrics :: Lens' ECSServiceRecommendedOptionProjectedMetric (Maybe [ECSServiceProjectedMetric])
eCSServiceRecommendedOptionProjectedMetric_recommendedCpuUnits :: Lens' ECSServiceRecommendedOptionProjectedMetric (Maybe Int)
eCSServiceRecommendedOptionProjectedMetric_recommendedMemorySize :: Lens' ECSServiceRecommendedOptionProjectedMetric (Maybe Int)
data ECSServiceUtilizationMetric = ECSServiceUtilizationMetric' {
- name :: Maybe ECSServiceMetricName
- statistic :: Maybe ECSServiceMetricStatistic
- value :: Maybe Double
}
newECSServiceUtilizationMetric :: ECSServiceUtilizationMetric
eCSServiceUtilizationMetric_name :: Lens' ECSServiceUtilizationMetric (Maybe ECSServiceMetricName)
eCSServiceUtilizationMetric_statistic :: Lens' ECSServiceUtilizationMetric (Maybe ECSServiceMetricStatistic)
eCSServiceUtilizationMetric_value :: Lens' ECSServiceUtilizationMetric (Maybe Double)
data EffectiveRecommendationPreferences = EffectiveRecommendationPreferences' {
- cpuVendorArchitectures :: Maybe [CpuVendorArchitecture]
- enhancedInfrastructureMetrics :: Maybe EnhancedInfrastructureMetrics
- externalMetricsPreference :: Maybe ExternalMetricsPreference
- inferredWorkloadTypes :: Maybe InferredWorkloadTypesPreference
}
newEffectiveRecommendationPreferences :: EffectiveRecommendationPreferences
effectiveRecommendationPreferences_cpuVendorArchitectures :: Lens' EffectiveRecommendationPreferences (Maybe [CpuVendorArchitecture])
effectiveRecommendationPreferences_enhancedInfrastructureMetrics :: Lens' EffectiveRecommendationPreferences (Maybe EnhancedInfrastructureMetrics)
effectiveRecommendationPreferences_externalMetricsPreference :: Lens' EffectiveRecommendationPreferences (Maybe ExternalMetricsPreference)
effectiveRecommendationPreferences_inferredWorkloadTypes :: Lens' EffectiveRecommendationPreferences (Maybe InferredWorkloadTypesPreference)
data EnrollmentFilter = EnrollmentFilter' {
- name :: Maybe EnrollmentFilterName
- values :: Maybe [Text]
}
newEnrollmentFilter :: EnrollmentFilter
enrollmentFilter_name :: Lens' EnrollmentFilter (Maybe EnrollmentFilterName)
enrollmentFilter_values :: Lens' EnrollmentFilter (Maybe [Text])
data EstimatedMonthlySavings = EstimatedMonthlySavings' {
- currency :: Maybe Currency
- value :: Maybe Double
}
newEstimatedMonthlySavings :: EstimatedMonthlySavings
estimatedMonthlySavings_currency :: Lens' EstimatedMonthlySavings (Maybe Currency)
estimatedMonthlySavings_value :: Lens' EstimatedMonthlySavings (Maybe Double)
data ExportDestination = ExportDestination' {
- s3 :: Maybe S3Destination
}
newExportDestination :: ExportDestination
exportDestination_s3 :: Lens' ExportDestination (Maybe S3Destination)
data ExternalMetricsPreference = ExternalMetricsPreference' {
- source :: Maybe ExternalMetricsSource
}
newExternalMetricsPreference :: ExternalMetricsPreference
externalMetricsPreference_source :: Lens' ExternalMetricsPreference (Maybe ExternalMetricsSource)
data Filter = Filter' {
- name :: Maybe FilterName
- values :: Maybe [Text]
}
newFilter :: Filter
filter_name :: Lens' Filter (Maybe FilterName)
filter_values :: Lens' Filter (Maybe [Text])
data GetRecommendationError = GetRecommendationError' {
- code :: Maybe Text
- identifier :: Maybe Text
- message :: Maybe Text
}
newGetRecommendationError :: GetRecommendationError
getRecommendationError_code :: Lens' GetRecommendationError (Maybe Text)
getRecommendationError_identifier :: Lens' GetRecommendationError (Maybe Text)
getRecommendationError_message :: Lens' GetRecommendationError (Maybe Text)
data InstanceRecommendation = InstanceRecommendation' {
- accountId :: Maybe Text
- currentInstanceType :: Maybe Text
- currentPerformanceRisk :: Maybe CurrentPerformanceRisk
- effectiveRecommendationPreferences :: Maybe EffectiveRecommendationPreferences
- finding :: Maybe Finding
- findingReasonCodes :: Maybe [InstanceRecommendationFindingReasonCode]
- inferredWorkloadTypes :: Maybe [InferredWorkloadType]
- instanceArn :: Maybe Text
- instanceName :: Maybe Text
- lastRefreshTimestamp :: Maybe POSIX
- lookBackPeriodInDays :: Maybe Double
- recommendationOptions :: Maybe [InstanceRecommendationOption]
- recommendationSources :: Maybe [RecommendationSource]
- utilizationMetrics :: Maybe [UtilizationMetric]
}
newInstanceRecommendation :: InstanceRecommendation
instanceRecommendation_accountId :: Lens' InstanceRecommendation (Maybe Text)
instanceRecommendation_currentInstanceType :: Lens' InstanceRecommendation (Maybe Text)
instanceRecommendation_currentPerformanceRisk :: Lens' InstanceRecommendation (Maybe CurrentPerformanceRisk)
instanceRecommendation_effectiveRecommendationPreferences :: Lens' InstanceRecommendation (Maybe EffectiveRecommendationPreferences)
instanceRecommendation_finding :: Lens' InstanceRecommendation (Maybe Finding)
instanceRecommendation_findingReasonCodes :: Lens' InstanceRecommendation (Maybe [InstanceRecommendationFindingReasonCode])
instanceRecommendation_inferredWorkloadTypes :: Lens' InstanceRecommendation (Maybe [InferredWorkloadType])
instanceRecommendation_instanceArn :: Lens' InstanceRecommendation (Maybe Text)
instanceRecommendation_instanceName :: Lens' InstanceRecommendation (Maybe Text)
instanceRecommendation_lastRefreshTimestamp :: Lens' InstanceRecommendation (Maybe UTCTime)
instanceRecommendation_lookBackPeriodInDays :: Lens' InstanceRecommendation (Maybe Double)
instanceRecommendation_recommendationOptions :: Lens' InstanceRecommendation (Maybe [InstanceRecommendationOption])
instanceRecommendation_recommendationSources :: Lens' InstanceRecommendation (Maybe [RecommendationSource])
instanceRecommendation_utilizationMetrics :: Lens' InstanceRecommendation (Maybe [UtilizationMetric])
data InstanceRecommendationOption = InstanceRecommendationOption' {
- instanceType :: Maybe Text
- migrationEffort :: Maybe MigrationEffort
- performanceRisk :: Maybe Double
- platformDifferences :: Maybe [PlatformDifference]
- projectedUtilizationMetrics :: Maybe [UtilizationMetric]
- rank :: Maybe Int
- savingsOpportunity :: Maybe SavingsOpportunity
}
newInstanceRecommendationOption :: InstanceRecommendationOption
instanceRecommendationOption_instanceType :: Lens' InstanceRecommendationOption (Maybe Text)
instanceRecommendationOption_migrationEffort :: Lens' InstanceRecommendationOption (Maybe MigrationEffort)
instanceRecommendationOption_performanceRisk :: Lens' InstanceRecommendationOption (Maybe Double)
instanceRecommendationOption_platformDifferences :: Lens' InstanceRecommendationOption (Maybe [PlatformDifference])
instanceRecommendationOption_projectedUtilizationMetrics :: Lens' InstanceRecommendationOption (Maybe [UtilizationMetric])
instanceRecommendationOption_rank :: Lens' InstanceRecommendationOption (Maybe Int)
instanceRecommendationOption_savingsOpportunity :: Lens' InstanceRecommendationOption (Maybe SavingsOpportunity)
data JobFilter = JobFilter' {
- name :: Maybe JobFilterName
- values :: Maybe [Text]
}
newJobFilter :: JobFilter
jobFilter_name :: Lens' JobFilter (Maybe JobFilterName)
jobFilter_values :: Lens' JobFilter (Maybe [Text])
data LambdaFunctionMemoryProjectedMetric = LambdaFunctionMemoryProjectedMetric' {
- name :: Maybe LambdaFunctionMemoryMetricName
- statistic :: Maybe LambdaFunctionMemoryMetricStatistic
- value :: Maybe Double
}
newLambdaFunctionMemoryProjectedMetric :: LambdaFunctionMemoryProjectedMetric
lambdaFunctionMemoryProjectedMetric_name :: Lens' LambdaFunctionMemoryProjectedMetric (Maybe LambdaFunctionMemoryMetricName)
lambdaFunctionMemoryProjectedMetric_statistic :: Lens' LambdaFunctionMemoryProjectedMetric (Maybe LambdaFunctionMemoryMetricStatistic)
lambdaFunctionMemoryProjectedMetric_value :: Lens' LambdaFunctionMemoryProjectedMetric (Maybe Double)
data LambdaFunctionMemoryRecommendationOption = LambdaFunctionMemoryRecommendationOption' {
- memorySize :: Maybe Int
- projectedUtilizationMetrics :: Maybe [LambdaFunctionMemoryProjectedMetric]
- rank :: Maybe Int
- savingsOpportunity :: Maybe SavingsOpportunity
}
newLambdaFunctionMemoryRecommendationOption :: LambdaFunctionMemoryRecommendationOption
lambdaFunctionMemoryRecommendationOption_memorySize :: Lens' LambdaFunctionMemoryRecommendationOption (Maybe Int)
lambdaFunctionMemoryRecommendationOption_projectedUtilizationMetrics :: Lens' LambdaFunctionMemoryRecommendationOption (Maybe [LambdaFunctionMemoryProjectedMetric])
lambdaFunctionMemoryRecommendationOption_rank :: Lens' LambdaFunctionMemoryRecommendationOption (Maybe Int)
lambdaFunctionMemoryRecommendationOption_savingsOpportunity :: Lens' LambdaFunctionMemoryRecommendationOption (Maybe SavingsOpportunity)
data LambdaFunctionRecommendation = LambdaFunctionRecommendation' {
- accountId :: Maybe Text
- currentMemorySize :: Maybe Int
- currentPerformanceRisk :: Maybe CurrentPerformanceRisk
- finding :: Maybe LambdaFunctionRecommendationFinding
- findingReasonCodes :: Maybe [LambdaFunctionRecommendationFindingReasonCode]
- functionArn :: Maybe Text
- functionVersion :: Maybe Text
- lastRefreshTimestamp :: Maybe POSIX
- lookbackPeriodInDays :: Maybe Double
- memorySizeRecommendationOptions :: Maybe [LambdaFunctionMemoryRecommendationOption]
- numberOfInvocations :: Maybe Integer
- utilizationMetrics :: Maybe [LambdaFunctionUtilizationMetric]
}
newLambdaFunctionRecommendation :: LambdaFunctionRecommendation
lambdaFunctionRecommendation_accountId :: Lens' LambdaFunctionRecommendation (Maybe Text)
lambdaFunctionRecommendation_currentMemorySize :: Lens' LambdaFunctionRecommendation (Maybe Int)
lambdaFunctionRecommendation_currentPerformanceRisk :: Lens' LambdaFunctionRecommendation (Maybe CurrentPerformanceRisk)
lambdaFunctionRecommendation_finding :: Lens' LambdaFunctionRecommendation (Maybe LambdaFunctionRecommendationFinding)
lambdaFunctionRecommendation_findingReasonCodes :: Lens' LambdaFunctionRecommendation (Maybe [LambdaFunctionRecommendationFindingReasonCode])
lambdaFunctionRecommendation_functionArn :: Lens' LambdaFunctionRecommendation (Maybe Text)
lambdaFunctionRecommendation_functionVersion :: Lens' LambdaFunctionRecommendation (Maybe Text)
lambdaFunctionRecommendation_lastRefreshTimestamp :: Lens' LambdaFunctionRecommendation (Maybe UTCTime)
lambdaFunctionRecommendation_lookbackPeriodInDays :: Lens' LambdaFunctionRecommendation (Maybe Double)
lambdaFunctionRecommendation_memorySizeRecommendationOptions :: Lens' LambdaFunctionRecommendation (Maybe [LambdaFunctionMemoryRecommendationOption])
lambdaFunctionRecommendation_numberOfInvocations :: Lens' LambdaFunctionRecommendation (Maybe Integer)
lambdaFunctionRecommendation_utilizationMetrics :: Lens' LambdaFunctionRecommendation (Maybe [LambdaFunctionUtilizationMetric])
data LambdaFunctionRecommendationFilter = LambdaFunctionRecommendationFilter' {
- name :: Maybe LambdaFunctionRecommendationFilterName
- values :: Maybe [Text]
}
newLambdaFunctionRecommendationFilter :: LambdaFunctionRecommendationFilter
lambdaFunctionRecommendationFilter_name :: Lens' LambdaFunctionRecommendationFilter (Maybe LambdaFunctionRecommendationFilterName)
lambdaFunctionRecommendationFilter_values :: Lens' LambdaFunctionRecommendationFilter (Maybe [Text])
data LambdaFunctionUtilizationMetric = LambdaFunctionUtilizationMetric' {
- name :: Maybe LambdaFunctionMetricName
- statistic :: Maybe LambdaFunctionMetricStatistic
- value :: Maybe Double
}
newLambdaFunctionUtilizationMetric :: LambdaFunctionUtilizationMetric
lambdaFunctionUtilizationMetric_name :: Lens' LambdaFunctionUtilizationMetric (Maybe LambdaFunctionMetricName)
lambdaFunctionUtilizationMetric_statistic :: Lens' LambdaFunctionUtilizationMetric (Maybe LambdaFunctionMetricStatistic)
lambdaFunctionUtilizationMetric_value :: Lens' LambdaFunctionUtilizationMetric (Maybe Double)
data MemorySizeConfiguration = MemorySizeConfiguration' {
- memory :: Maybe Int
- memoryReservation :: Maybe Int
}
newMemorySizeConfiguration :: MemorySizeConfiguration
memorySizeConfiguration_memory :: Lens' MemorySizeConfiguration (Maybe Int)
memorySizeConfiguration_memoryReservation :: Lens' MemorySizeConfiguration (Maybe Int)
data ProjectedMetric = ProjectedMetric' {
- name :: Maybe MetricName
- timestamps :: Maybe [POSIX]
- values :: Maybe [Double]
}
newProjectedMetric :: ProjectedMetric
projectedMetric_name :: Lens' ProjectedMetric (Maybe MetricName)
projectedMetric_timestamps :: Lens' ProjectedMetric (Maybe [UTCTime])
projectedMetric_values :: Lens' ProjectedMetric (Maybe [Double])
data ReasonCodeSummary = ReasonCodeSummary' {
- name :: Maybe FindingReasonCode
- value :: Maybe Double
}
newReasonCodeSummary :: ReasonCodeSummary
reasonCodeSummary_name :: Lens' ReasonCodeSummary (Maybe FindingReasonCode)
reasonCodeSummary_value :: Lens' ReasonCodeSummary (Maybe Double)
data RecommendationExportJob = RecommendationExportJob' {
- creationTimestamp :: Maybe POSIX
- destination :: Maybe ExportDestination
- failureReason :: Maybe Text
- jobId :: Maybe Text
- lastUpdatedTimestamp :: Maybe POSIX
- resourceType :: Maybe ResourceType
- status :: Maybe JobStatus
}
newRecommendationExportJob :: RecommendationExportJob
recommendationExportJob_creationTimestamp :: Lens' RecommendationExportJob (Maybe UTCTime)
recommendationExportJob_destination :: Lens' RecommendationExportJob (Maybe ExportDestination)
recommendationExportJob_failureReason :: Lens' RecommendationExportJob (Maybe Text)
recommendationExportJob_jobId :: Lens' RecommendationExportJob (Maybe Text)
recommendationExportJob_lastUpdatedTimestamp :: Lens' RecommendationExportJob (Maybe UTCTime)
recommendationExportJob_resourceType :: Lens' RecommendationExportJob (Maybe ResourceType)
recommendationExportJob_status :: Lens' RecommendationExportJob (Maybe JobStatus)
data RecommendationPreferences = RecommendationPreferences' {
- cpuVendorArchitectures :: Maybe [CpuVendorArchitecture]
}
newRecommendationPreferences :: RecommendationPreferences
recommendationPreferences_cpuVendorArchitectures :: Lens' RecommendationPreferences (Maybe [CpuVendorArchitecture])
data RecommendationPreferencesDetail = RecommendationPreferencesDetail' {
- enhancedInfrastructureMetrics :: Maybe EnhancedInfrastructureMetrics
- externalMetricsPreference :: Maybe ExternalMetricsPreference
- inferredWorkloadTypes :: Maybe InferredWorkloadTypesPreference
- resourceType :: Maybe ResourceType
- scope :: Maybe Scope
}
newRecommendationPreferencesDetail :: RecommendationPreferencesDetail
recommendationPreferencesDetail_enhancedInfrastructureMetrics :: Lens' RecommendationPreferencesDetail (Maybe EnhancedInfrastructureMetrics)
recommendationPreferencesDetail_externalMetricsPreference :: Lens' RecommendationPreferencesDetail (Maybe ExternalMetricsPreference)
recommendationPreferencesDetail_inferredWorkloadTypes :: Lens' RecommendationPreferencesDetail (Maybe InferredWorkloadTypesPreference)
recommendationPreferencesDetail_resourceType :: Lens' RecommendationPreferencesDetail (Maybe ResourceType)
recommendationPreferencesDetail_scope :: Lens' RecommendationPreferencesDetail (Maybe Scope)
data RecommendationSource = RecommendationSource' {
- recommendationSourceArn :: Maybe Text
- recommendationSourceType :: Maybe RecommendationSourceType
}
newRecommendationSource :: RecommendationSource
recommendationSource_recommendationSourceArn :: Lens' RecommendationSource (Maybe Text)
recommendationSource_recommendationSourceType :: Lens' RecommendationSource (Maybe RecommendationSourceType)
data RecommendationSummary = RecommendationSummary' {
- accountId :: Maybe Text
- currentPerformanceRiskRatings :: Maybe CurrentPerformanceRiskRatings
- recommendationResourceType :: Maybe RecommendationSourceType
- savingsOpportunity :: Maybe SavingsOpportunity
- summaries :: Maybe [Summary]
}
newRecommendationSummary :: RecommendationSummary
recommendationSummary_accountId :: Lens' RecommendationSummary (Maybe Text)
recommendationSummary_currentPerformanceRiskRatings :: Lens' RecommendationSummary (Maybe CurrentPerformanceRiskRatings)
recommendationSummary_recommendationResourceType :: Lens' RecommendationSummary (Maybe RecommendationSourceType)
recommendationSummary_savingsOpportunity :: Lens' RecommendationSummary (Maybe SavingsOpportunity)
recommendationSummary_summaries :: Lens' RecommendationSummary (Maybe [Summary])
data RecommendedOptionProjectedMetric = RecommendedOptionProjectedMetric' {
- projectedMetrics :: Maybe [ProjectedMetric]
- rank :: Maybe Int
- recommendedInstanceType :: Maybe Text
}
newRecommendedOptionProjectedMetric :: RecommendedOptionProjectedMetric
recommendedOptionProjectedMetric_projectedMetrics :: Lens' RecommendedOptionProjectedMetric (Maybe [ProjectedMetric])
recommendedOptionProjectedMetric_rank :: Lens' RecommendedOptionProjectedMetric (Maybe Int)
recommendedOptionProjectedMetric_recommendedInstanceType :: Lens' RecommendedOptionProjectedMetric (Maybe Text)
data S3Destination = S3Destination' {
- bucket :: Maybe Text
- key :: Maybe Text
- metadataKey :: Maybe Text
}
newS3Destination :: S3Destination
s3Destination_bucket :: Lens' S3Destination (Maybe Text)
s3Destination_key :: Lens' S3Destination (Maybe Text)
s3Destination_metadataKey :: Lens' S3Destination (Maybe Text)
data S3DestinationConfig = S3DestinationConfig' {
- bucket :: Maybe Text
- keyPrefix :: Maybe Text
}
newS3DestinationConfig :: S3DestinationConfig
s3DestinationConfig_bucket :: Lens' S3DestinationConfig (Maybe Text)
s3DestinationConfig_keyPrefix :: Lens' S3DestinationConfig (Maybe Text)
data SavingsOpportunity = SavingsOpportunity' {
- estimatedMonthlySavings :: Maybe EstimatedMonthlySavings
- savingsOpportunityPercentage :: Maybe Double
}
newSavingsOpportunity :: SavingsOpportunity
savingsOpportunity_estimatedMonthlySavings :: Lens' SavingsOpportunity (Maybe EstimatedMonthlySavings)
savingsOpportunity_savingsOpportunityPercentage :: Lens' SavingsOpportunity (Maybe Double)
data Scope = Scope' {
- name :: Maybe ScopeName
- value :: Maybe Text
}
newScope :: Scope
scope_name :: Lens' Scope (Maybe ScopeName)
scope_value :: Lens' Scope (Maybe Text)
data ServiceConfiguration = ServiceConfiguration' {
- autoScalingConfiguration :: Maybe AutoScalingConfiguration
- containerConfigurations :: Maybe [ContainerConfiguration]
- cpu :: Maybe Int
- memory :: Maybe Int
- taskDefinitionArn :: Maybe Text
}
newServiceConfiguration :: ServiceConfiguration
serviceConfiguration_autoScalingConfiguration :: Lens' ServiceConfiguration (Maybe AutoScalingConfiguration)
serviceConfiguration_containerConfigurations :: Lens' ServiceConfiguration (Maybe [ContainerConfiguration])
serviceConfiguration_cpu :: Lens' ServiceConfiguration (Maybe Int)
serviceConfiguration_memory :: Lens' ServiceConfiguration (Maybe Int)
serviceConfiguration_taskDefinitionArn :: Lens' ServiceConfiguration (Maybe Text)
data Summary = Summary' {
- name :: Maybe Finding
- reasonCodeSummaries :: Maybe [ReasonCodeSummary]
- value :: Maybe Double
}
newSummary :: Summary
summary_name :: Lens' Summary (Maybe Finding)
summary_reasonCodeSummaries :: Lens' Summary (Maybe [ReasonCodeSummary])
summary_value :: Lens' Summary (Maybe Double)
data UtilizationMetric = UtilizationMetric' {
- name :: Maybe MetricName
- statistic :: Maybe MetricStatistic
- value :: Maybe Double
}
newUtilizationMetric :: UtilizationMetric
utilizationMetric_name :: Lens' UtilizationMetric (Maybe MetricName)
utilizationMetric_statistic :: Lens' UtilizationMetric (Maybe MetricStatistic)
utilizationMetric_value :: Lens' UtilizationMetric (Maybe Double)
data VolumeConfiguration = VolumeConfiguration' {
- volumeBaselineIOPS :: Maybe Int
- volumeBaselineThroughput :: Maybe Int
- volumeBurstIOPS :: Maybe Int
- volumeBurstThroughput :: Maybe Int
- volumeSize :: Maybe Int
- volumeType :: Maybe Text
}
newVolumeConfiguration :: VolumeConfiguration
volumeConfiguration_volumeBaselineIOPS :: Lens' VolumeConfiguration (Maybe Int)
volumeConfiguration_volumeBaselineThroughput :: Lens' VolumeConfiguration (Maybe Int)
volumeConfiguration_volumeBurstIOPS :: Lens' VolumeConfiguration (Maybe Int)
volumeConfiguration_volumeBurstThroughput :: Lens' VolumeConfiguration (Maybe Int)
volumeConfiguration_volumeSize :: Lens' VolumeConfiguration (Maybe Int)
volumeConfiguration_volumeType :: Lens' VolumeConfiguration (Maybe Text)
data VolumeRecommendation = VolumeRecommendation' {
- accountId :: Maybe Text
- currentConfiguration :: Maybe VolumeConfiguration
- currentPerformanceRisk :: Maybe CurrentPerformanceRisk
- finding :: Maybe EBSFinding
- lastRefreshTimestamp :: Maybe POSIX
- lookBackPeriodInDays :: Maybe Double
- utilizationMetrics :: Maybe [EBSUtilizationMetric]
- volumeArn :: Maybe Text
- volumeRecommendationOptions :: Maybe [VolumeRecommendationOption]
}
newVolumeRecommendation :: VolumeRecommendation
volumeRecommendation_accountId :: Lens' VolumeRecommendation (Maybe Text)
volumeRecommendation_currentConfiguration :: Lens' VolumeRecommendation (Maybe VolumeConfiguration)
volumeRecommendation_currentPerformanceRisk :: Lens' VolumeRecommendation (Maybe CurrentPerformanceRisk)
volumeRecommendation_finding :: Lens' VolumeRecommendation (Maybe EBSFinding)
volumeRecommendation_lastRefreshTimestamp :: Lens' VolumeRecommendation (Maybe UTCTime)
volumeRecommendation_lookBackPeriodInDays :: Lens' VolumeRecommendation (Maybe Double)
volumeRecommendation_utilizationMetrics :: Lens' VolumeRecommendation (Maybe [EBSUtilizationMetric])
volumeRecommendation_volumeArn :: Lens' VolumeRecommendation (Maybe Text)
volumeRecommendation_volumeRecommendationOptions :: Lens' VolumeRecommendation (Maybe [VolumeRecommendationOption])
data VolumeRecommendationOption = VolumeRecommendationOption' {
- configuration :: Maybe VolumeConfiguration
- performanceRisk :: Maybe Double
- rank :: Maybe Int
- savingsOpportunity :: Maybe SavingsOpportunity
}
newVolumeRecommendationOption :: VolumeRecommendationOption
volumeRecommendationOption_configuration :: Lens' VolumeRecommendationOption (Maybe VolumeConfiguration)
volumeRecommendationOption_performanceRisk :: Lens' VolumeRecommendationOption (Maybe Double)
volumeRecommendationOption_rank :: Lens' VolumeRecommendationOption (Maybe Int)
volumeRecommendationOption_savingsOpportunity :: Lens' VolumeRecommendationOption (Maybe SavingsOpportunity)

Service Configuration

defaultService :: Service Source #

API version 2019-11-01 of the Amazon Compute Optimizer SDK configuration.

Errors

_AccessDeniedException :: AsError a => Fold a ServiceError Source #

You do not have sufficient access to perform this action.

_InternalServerException :: AsError a => Fold a ServiceError Source #

An internal error has occurred. Try your call again.

_InvalidParameterValueException :: AsError a => Fold a ServiceError Source #

The value supplied for the input parameter is out of range or not valid.

_LimitExceededException :: AsError a => Fold a ServiceError Source #

The request exceeds a limit of the service.

_MissingAuthenticationToken :: AsError a => Fold a ServiceError Source #

The request must contain either a valid (registered) Amazon Web Services access key ID or X.509 certificate.

_OptInRequiredException :: AsError a => Fold a ServiceError Source #

The account is not opted in to Compute Optimizer.

_ResourceNotFoundException :: AsError a => Fold a ServiceError Source #

A resource that is required for the action doesn't exist.

_ServiceUnavailableException :: AsError a => Fold a ServiceError Source #

The request has failed due to a temporary failure of the server.

_ThrottlingException :: AsError a => Fold a ServiceError Source #

The request was denied due to request throttling.

AutoScalingConfiguration

newtype AutoScalingConfiguration Source #

Constructors

AutoScalingConfiguration'
Fields fromAutoScalingConfiguration :: Text

Bundled Patterns

pattern AutoScalingConfiguration_TargetTrackingScalingCpu :: AutoScalingConfiguration
pattern AutoScalingConfiguration_TargetTrackingScalingMemory :: AutoScalingConfiguration

Instances

Instances details

FromJSON AutoScalingConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingConfiguration Methods parseJSON :: Value -> Parser AutoScalingConfiguration # parseJSONList :: Value -> Parser [AutoScalingConfiguration] #
FromJSONKey AutoScalingConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingConfiguration Methods fromJSONKey :: FromJSONKeyFunction AutoScalingConfiguration # fromJSONKeyList :: FromJSONKeyFunction [AutoScalingConfiguration] #
ToJSON AutoScalingConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingConfiguration Methods toJSON :: AutoScalingConfiguration -> Value # toEncoding :: AutoScalingConfiguration -> Encoding # toJSONList :: [AutoScalingConfiguration] -> Value # toEncodingList :: [AutoScalingConfiguration] -> Encoding #
ToJSONKey AutoScalingConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingConfiguration Methods toJSONKey :: ToJSONKeyFunction AutoScalingConfiguration # toJSONKeyList :: ToJSONKeyFunction [AutoScalingConfiguration] #
ToByteString AutoScalingConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingConfiguration Methods toBS :: AutoScalingConfiguration -> ByteString #
ToHeader AutoScalingConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingConfiguration Methods toHeader :: HeaderName -> AutoScalingConfiguration -> [Header] #
ToLog AutoScalingConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingConfiguration Methods build :: AutoScalingConfiguration -> ByteStringBuilder #
ToQuery AutoScalingConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingConfiguration Methods toQuery :: AutoScalingConfiguration -> QueryString #
FromText AutoScalingConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingConfiguration Methods fromText :: Text -> Either String AutoScalingConfiguration #
ToText AutoScalingConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingConfiguration Methods toText :: AutoScalingConfiguration -> Text #
FromXML AutoScalingConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingConfiguration Methods parseXML :: [Node] -> Either String AutoScalingConfiguration #
ToXML AutoScalingConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingConfiguration Methods toXML :: AutoScalingConfiguration -> XML #
Generic AutoScalingConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingConfiguration Associated Types type Rep AutoScalingConfiguration :: Type -> Type # Methods from :: AutoScalingConfiguration -> Rep AutoScalingConfiguration x # to :: Rep AutoScalingConfiguration x -> AutoScalingConfiguration #
Read AutoScalingConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingConfiguration Methods readsPrec :: Int -> ReadS AutoScalingConfiguration # readList :: ReadS [AutoScalingConfiguration] # readPrec :: ReadPrec AutoScalingConfiguration # readListPrec :: ReadPrec [AutoScalingConfiguration] #
Show AutoScalingConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingConfiguration Methods showsPrec :: Int -> AutoScalingConfiguration -> ShowS # show :: AutoScalingConfiguration -> String # showList :: [AutoScalingConfiguration] -> ShowS #
NFData AutoScalingConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingConfiguration Methods rnf :: AutoScalingConfiguration -> () #
Eq AutoScalingConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingConfiguration Methods (==) :: AutoScalingConfiguration -> AutoScalingConfiguration -> Bool # (/=) :: AutoScalingConfiguration -> AutoScalingConfiguration -> Bool #
Ord AutoScalingConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingConfiguration Methods compare :: AutoScalingConfiguration -> AutoScalingConfiguration -> Ordering # (<) :: AutoScalingConfiguration -> AutoScalingConfiguration -> Bool # (<=) :: AutoScalingConfiguration -> AutoScalingConfiguration -> Bool # (>) :: AutoScalingConfiguration -> AutoScalingConfiguration -> Bool # (>=) :: AutoScalingConfiguration -> AutoScalingConfiguration -> Bool # max :: AutoScalingConfiguration -> AutoScalingConfiguration -> AutoScalingConfiguration # min :: AutoScalingConfiguration -> AutoScalingConfiguration -> AutoScalingConfiguration #
Hashable AutoScalingConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingConfiguration Methods hashWithSalt :: Int -> AutoScalingConfiguration -> Int # hash :: AutoScalingConfiguration -> Int #
type Rep AutoScalingConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingConfiguration type Rep AutoScalingConfiguration = D1 ('MetaData "AutoScalingConfiguration" "Amazonka.ComputeOptimizer.Types.AutoScalingConfiguration" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "AutoScalingConfiguration'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAutoScalingConfiguration") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

CpuVendorArchitecture

newtype CpuVendorArchitecture Source #

Constructors

CpuVendorArchitecture'
Fields fromCpuVendorArchitecture :: Text

Bundled Patterns

pattern CpuVendorArchitecture_AWS_ARM64 :: CpuVendorArchitecture
pattern CpuVendorArchitecture_CURRENT :: CpuVendorArchitecture

Instances

Instances details

FromJSON CpuVendorArchitecture Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CpuVendorArchitecture Methods parseJSON :: Value -> Parser CpuVendorArchitecture # parseJSONList :: Value -> Parser [CpuVendorArchitecture] #
FromJSONKey CpuVendorArchitecture Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CpuVendorArchitecture Methods fromJSONKey :: FromJSONKeyFunction CpuVendorArchitecture # fromJSONKeyList :: FromJSONKeyFunction [CpuVendorArchitecture] #
ToJSON CpuVendorArchitecture Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CpuVendorArchitecture Methods toJSON :: CpuVendorArchitecture -> Value # toEncoding :: CpuVendorArchitecture -> Encoding # toJSONList :: [CpuVendorArchitecture] -> Value # toEncodingList :: [CpuVendorArchitecture] -> Encoding #
ToJSONKey CpuVendorArchitecture Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CpuVendorArchitecture Methods toJSONKey :: ToJSONKeyFunction CpuVendorArchitecture # toJSONKeyList :: ToJSONKeyFunction [CpuVendorArchitecture] #
ToByteString CpuVendorArchitecture Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CpuVendorArchitecture Methods toBS :: CpuVendorArchitecture -> ByteString #
ToHeader CpuVendorArchitecture Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CpuVendorArchitecture Methods toHeader :: HeaderName -> CpuVendorArchitecture -> [Header] #
ToLog CpuVendorArchitecture Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CpuVendorArchitecture Methods build :: CpuVendorArchitecture -> ByteStringBuilder #
ToQuery CpuVendorArchitecture Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CpuVendorArchitecture Methods toQuery :: CpuVendorArchitecture -> QueryString #
FromText CpuVendorArchitecture Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CpuVendorArchitecture Methods fromText :: Text -> Either String CpuVendorArchitecture #
ToText CpuVendorArchitecture Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CpuVendorArchitecture Methods toText :: CpuVendorArchitecture -> Text #
FromXML CpuVendorArchitecture Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CpuVendorArchitecture Methods parseXML :: [Node] -> Either String CpuVendorArchitecture #
ToXML CpuVendorArchitecture Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CpuVendorArchitecture Methods toXML :: CpuVendorArchitecture -> XML #
Generic CpuVendorArchitecture Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CpuVendorArchitecture Associated Types type Rep CpuVendorArchitecture :: Type -> Type # Methods from :: CpuVendorArchitecture -> Rep CpuVendorArchitecture x # to :: Rep CpuVendorArchitecture x -> CpuVendorArchitecture #
Read CpuVendorArchitecture Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CpuVendorArchitecture Methods readsPrec :: Int -> ReadS CpuVendorArchitecture # readList :: ReadS [CpuVendorArchitecture] # readPrec :: ReadPrec CpuVendorArchitecture # readListPrec :: ReadPrec [CpuVendorArchitecture] #
Show CpuVendorArchitecture Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CpuVendorArchitecture Methods showsPrec :: Int -> CpuVendorArchitecture -> ShowS # show :: CpuVendorArchitecture -> String # showList :: [CpuVendorArchitecture] -> ShowS #
NFData CpuVendorArchitecture Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CpuVendorArchitecture Methods rnf :: CpuVendorArchitecture -> () #
Eq CpuVendorArchitecture Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CpuVendorArchitecture Methods (==) :: CpuVendorArchitecture -> CpuVendorArchitecture -> Bool # (/=) :: CpuVendorArchitecture -> CpuVendorArchitecture -> Bool #
Ord CpuVendorArchitecture Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CpuVendorArchitecture Methods compare :: CpuVendorArchitecture -> CpuVendorArchitecture -> Ordering # (<) :: CpuVendorArchitecture -> CpuVendorArchitecture -> Bool # (<=) :: CpuVendorArchitecture -> CpuVendorArchitecture -> Bool # (>) :: CpuVendorArchitecture -> CpuVendorArchitecture -> Bool # (>=) :: CpuVendorArchitecture -> CpuVendorArchitecture -> Bool # max :: CpuVendorArchitecture -> CpuVendorArchitecture -> CpuVendorArchitecture # min :: CpuVendorArchitecture -> CpuVendorArchitecture -> CpuVendorArchitecture #
Hashable CpuVendorArchitecture Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CpuVendorArchitecture Methods hashWithSalt :: Int -> CpuVendorArchitecture -> Int # hash :: CpuVendorArchitecture -> Int #
type Rep CpuVendorArchitecture Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CpuVendorArchitecture type Rep CpuVendorArchitecture = D1 ('MetaData "CpuVendorArchitecture" "Amazonka.ComputeOptimizer.Types.CpuVendorArchitecture" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "CpuVendorArchitecture'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromCpuVendorArchitecture") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

Currency

newtype Currency Source #

Constructors

Currency'
Fields fromCurrency :: Text

Bundled Patterns

pattern Currency_CNY :: Currency
pattern Currency_USD :: Currency

Instances

Instances details

FromJSON Currency Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Currency Methods parseJSON :: Value -> Parser Currency # parseJSONList :: Value -> Parser [Currency] #
FromJSONKey Currency Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Currency Methods fromJSONKey :: FromJSONKeyFunction Currency # fromJSONKeyList :: FromJSONKeyFunction [Currency] #
ToJSON Currency Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Currency Methods toJSON :: Currency -> Value # toEncoding :: Currency -> Encoding # toJSONList :: [Currency] -> Value # toEncodingList :: [Currency] -> Encoding #
ToJSONKey Currency Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Currency Methods toJSONKey :: ToJSONKeyFunction Currency # toJSONKeyList :: ToJSONKeyFunction [Currency] #
ToByteString Currency Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Currency Methods toBS :: Currency -> ByteString #
ToHeader Currency Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Currency Methods toHeader :: HeaderName -> Currency -> [Header] #
ToLog Currency Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Currency Methods build :: Currency -> ByteStringBuilder #
ToQuery Currency Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Currency Methods toQuery :: Currency -> QueryString #
FromText Currency Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Currency Methods fromText :: Text -> Either String Currency #
ToText Currency Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Currency Methods toText :: Currency -> Text #
FromXML Currency Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Currency Methods parseXML :: [Node] -> Either String Currency #
ToXML Currency Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Currency Methods toXML :: Currency -> XML #
Generic Currency Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Currency Associated Types type Rep Currency :: Type -> Type # Methods from :: Currency -> Rep Currency x # to :: Rep Currency x -> Currency #
Read Currency Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Currency Methods readsPrec :: Int -> ReadS Currency # readList :: ReadS [Currency] # readPrec :: ReadPrec Currency # readListPrec :: ReadPrec [Currency] #
Show Currency Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Currency Methods showsPrec :: Int -> Currency -> ShowS # show :: Currency -> String # showList :: [Currency] -> ShowS #
NFData Currency Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Currency Methods rnf :: Currency -> () #
Eq Currency Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Currency Methods (==) :: Currency -> Currency -> Bool # (/=) :: Currency -> Currency -> Bool #
Ord Currency Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Currency Methods compare :: Currency -> Currency -> Ordering # (<) :: Currency -> Currency -> Bool # (<=) :: Currency -> Currency -> Bool # (>) :: Currency -> Currency -> Bool # (>=) :: Currency -> Currency -> Bool # max :: Currency -> Currency -> Currency # min :: Currency -> Currency -> Currency #
Hashable Currency Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Currency Methods hashWithSalt :: Int -> Currency -> Int # hash :: Currency -> Int #
type Rep Currency Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Currency type Rep Currency = D1 ('MetaData "Currency" "Amazonka.ComputeOptimizer.Types.Currency" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "Currency'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromCurrency") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

CurrentPerformanceRisk

newtype CurrentPerformanceRisk Source #

Constructors

CurrentPerformanceRisk'
Fields fromCurrentPerformanceRisk :: Text

Bundled Patterns

pattern CurrentPerformanceRisk_High :: CurrentPerformanceRisk
pattern CurrentPerformanceRisk_Low :: CurrentPerformanceRisk
pattern CurrentPerformanceRisk_Medium :: CurrentPerformanceRisk
pattern CurrentPerformanceRisk_VeryLow :: CurrentPerformanceRisk

Instances

Instances details

FromJSON CurrentPerformanceRisk Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CurrentPerformanceRisk Methods parseJSON :: Value -> Parser CurrentPerformanceRisk # parseJSONList :: Value -> Parser [CurrentPerformanceRisk] #
FromJSONKey CurrentPerformanceRisk Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CurrentPerformanceRisk Methods fromJSONKey :: FromJSONKeyFunction CurrentPerformanceRisk # fromJSONKeyList :: FromJSONKeyFunction [CurrentPerformanceRisk] #
ToJSON CurrentPerformanceRisk Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CurrentPerformanceRisk Methods toJSON :: CurrentPerformanceRisk -> Value # toEncoding :: CurrentPerformanceRisk -> Encoding # toJSONList :: [CurrentPerformanceRisk] -> Value # toEncodingList :: [CurrentPerformanceRisk] -> Encoding #
ToJSONKey CurrentPerformanceRisk Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CurrentPerformanceRisk Methods toJSONKey :: ToJSONKeyFunction CurrentPerformanceRisk # toJSONKeyList :: ToJSONKeyFunction [CurrentPerformanceRisk] #
ToByteString CurrentPerformanceRisk Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CurrentPerformanceRisk Methods toBS :: CurrentPerformanceRisk -> ByteString #
ToHeader CurrentPerformanceRisk Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CurrentPerformanceRisk Methods toHeader :: HeaderName -> CurrentPerformanceRisk -> [Header] #
ToLog CurrentPerformanceRisk Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CurrentPerformanceRisk Methods build :: CurrentPerformanceRisk -> ByteStringBuilder #
ToQuery CurrentPerformanceRisk Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CurrentPerformanceRisk Methods toQuery :: CurrentPerformanceRisk -> QueryString #
FromText CurrentPerformanceRisk Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CurrentPerformanceRisk Methods fromText :: Text -> Either String CurrentPerformanceRisk #
ToText CurrentPerformanceRisk Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CurrentPerformanceRisk Methods toText :: CurrentPerformanceRisk -> Text #
FromXML CurrentPerformanceRisk Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CurrentPerformanceRisk Methods parseXML :: [Node] -> Either String CurrentPerformanceRisk #
ToXML CurrentPerformanceRisk Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CurrentPerformanceRisk Methods toXML :: CurrentPerformanceRisk -> XML #
Generic CurrentPerformanceRisk Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CurrentPerformanceRisk Associated Types type Rep CurrentPerformanceRisk :: Type -> Type # Methods from :: CurrentPerformanceRisk -> Rep CurrentPerformanceRisk x # to :: Rep CurrentPerformanceRisk x -> CurrentPerformanceRisk #
Read CurrentPerformanceRisk Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CurrentPerformanceRisk Methods readsPrec :: Int -> ReadS CurrentPerformanceRisk # readList :: ReadS [CurrentPerformanceRisk] # readPrec :: ReadPrec CurrentPerformanceRisk # readListPrec :: ReadPrec [CurrentPerformanceRisk] #
Show CurrentPerformanceRisk Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CurrentPerformanceRisk Methods showsPrec :: Int -> CurrentPerformanceRisk -> ShowS # show :: CurrentPerformanceRisk -> String # showList :: [CurrentPerformanceRisk] -> ShowS #
NFData CurrentPerformanceRisk Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CurrentPerformanceRisk Methods rnf :: CurrentPerformanceRisk -> () #
Eq CurrentPerformanceRisk Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CurrentPerformanceRisk Methods (==) :: CurrentPerformanceRisk -> CurrentPerformanceRisk -> Bool # (/=) :: CurrentPerformanceRisk -> CurrentPerformanceRisk -> Bool #
Ord CurrentPerformanceRisk Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CurrentPerformanceRisk Methods compare :: CurrentPerformanceRisk -> CurrentPerformanceRisk -> Ordering # (<) :: CurrentPerformanceRisk -> CurrentPerformanceRisk -> Bool # (<=) :: CurrentPerformanceRisk -> CurrentPerformanceRisk -> Bool # (>) :: CurrentPerformanceRisk -> CurrentPerformanceRisk -> Bool # (>=) :: CurrentPerformanceRisk -> CurrentPerformanceRisk -> Bool # max :: CurrentPerformanceRisk -> CurrentPerformanceRisk -> CurrentPerformanceRisk # min :: CurrentPerformanceRisk -> CurrentPerformanceRisk -> CurrentPerformanceRisk #
Hashable CurrentPerformanceRisk Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CurrentPerformanceRisk Methods hashWithSalt :: Int -> CurrentPerformanceRisk -> Int # hash :: CurrentPerformanceRisk -> Int #
type Rep CurrentPerformanceRisk Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CurrentPerformanceRisk type Rep CurrentPerformanceRisk = D1 ('MetaData "CurrentPerformanceRisk" "Amazonka.ComputeOptimizer.Types.CurrentPerformanceRisk" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "CurrentPerformanceRisk'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromCurrentPerformanceRisk") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

EBSFilterName

newtype EBSFilterName Source #

Constructors

EBSFilterName'
Fields fromEBSFilterName :: Text

Bundled Patterns

pattern EBSFilterName_Finding :: EBSFilterName

Instances

Instances details

FromJSON EBSFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFilterName Methods parseJSON :: Value -> Parser EBSFilterName # parseJSONList :: Value -> Parser [EBSFilterName] #
FromJSONKey EBSFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFilterName Methods fromJSONKey :: FromJSONKeyFunction EBSFilterName # fromJSONKeyList :: FromJSONKeyFunction [EBSFilterName] #
ToJSON EBSFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFilterName Methods toJSON :: EBSFilterName -> Value # toEncoding :: EBSFilterName -> Encoding # toJSONList :: [EBSFilterName] -> Value # toEncodingList :: [EBSFilterName] -> Encoding #
ToJSONKey EBSFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFilterName Methods toJSONKey :: ToJSONKeyFunction EBSFilterName # toJSONKeyList :: ToJSONKeyFunction [EBSFilterName] #
ToByteString EBSFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFilterName Methods toBS :: EBSFilterName -> ByteString #
ToHeader EBSFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFilterName Methods toHeader :: HeaderName -> EBSFilterName -> [Header] #
ToLog EBSFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFilterName Methods build :: EBSFilterName -> ByteStringBuilder #
ToQuery EBSFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFilterName Methods toQuery :: EBSFilterName -> QueryString #
FromText EBSFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFilterName Methods fromText :: Text -> Either String EBSFilterName #
ToText EBSFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFilterName Methods toText :: EBSFilterName -> Text #
FromXML EBSFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFilterName Methods parseXML :: [Node] -> Either String EBSFilterName #
ToXML EBSFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFilterName Methods toXML :: EBSFilterName -> XML #
Generic EBSFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFilterName Associated Types type Rep EBSFilterName :: Type -> Type # Methods from :: EBSFilterName -> Rep EBSFilterName x # to :: Rep EBSFilterName x -> EBSFilterName #
Read EBSFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFilterName Methods readsPrec :: Int -> ReadS EBSFilterName # readList :: ReadS [EBSFilterName] # readPrec :: ReadPrec EBSFilterName # readListPrec :: ReadPrec [EBSFilterName] #
Show EBSFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFilterName Methods showsPrec :: Int -> EBSFilterName -> ShowS # show :: EBSFilterName -> String # showList :: [EBSFilterName] -> ShowS #
NFData EBSFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFilterName Methods rnf :: EBSFilterName -> () #
Eq EBSFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFilterName Methods (==) :: EBSFilterName -> EBSFilterName -> Bool # (/=) :: EBSFilterName -> EBSFilterName -> Bool #
Ord EBSFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFilterName Methods compare :: EBSFilterName -> EBSFilterName -> Ordering # (<) :: EBSFilterName -> EBSFilterName -> Bool # (<=) :: EBSFilterName -> EBSFilterName -> Bool # (>) :: EBSFilterName -> EBSFilterName -> Bool # (>=) :: EBSFilterName -> EBSFilterName -> Bool # max :: EBSFilterName -> EBSFilterName -> EBSFilterName # min :: EBSFilterName -> EBSFilterName -> EBSFilterName #
Hashable EBSFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFilterName Methods hashWithSalt :: Int -> EBSFilterName -> Int # hash :: EBSFilterName -> Int #
type Rep EBSFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFilterName type Rep EBSFilterName = D1 ('MetaData "EBSFilterName" "Amazonka.ComputeOptimizer.Types.EBSFilterName" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "EBSFilterName'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromEBSFilterName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

EBSFinding

newtype EBSFinding Source #

Constructors

EBSFinding'
Fields fromEBSFinding :: Text

Bundled Patterns

pattern EBSFinding_NotOptimized :: EBSFinding
pattern EBSFinding_Optimized :: EBSFinding

Instances

Instances details

FromJSON EBSFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFinding Methods parseJSON :: Value -> Parser EBSFinding # parseJSONList :: Value -> Parser [EBSFinding] #
FromJSONKey EBSFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFinding Methods fromJSONKey :: FromJSONKeyFunction EBSFinding # fromJSONKeyList :: FromJSONKeyFunction [EBSFinding] #
ToJSON EBSFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFinding Methods toJSON :: EBSFinding -> Value # toEncoding :: EBSFinding -> Encoding # toJSONList :: [EBSFinding] -> Value # toEncodingList :: [EBSFinding] -> Encoding #
ToJSONKey EBSFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFinding Methods toJSONKey :: ToJSONKeyFunction EBSFinding # toJSONKeyList :: ToJSONKeyFunction [EBSFinding] #
ToByteString EBSFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFinding Methods toBS :: EBSFinding -> ByteString #
ToHeader EBSFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFinding Methods toHeader :: HeaderName -> EBSFinding -> [Header] #
ToLog EBSFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFinding Methods build :: EBSFinding -> ByteStringBuilder #
ToQuery EBSFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFinding Methods toQuery :: EBSFinding -> QueryString #
FromText EBSFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFinding Methods fromText :: Text -> Either String EBSFinding #
ToText EBSFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFinding Methods toText :: EBSFinding -> Text #
FromXML EBSFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFinding Methods parseXML :: [Node] -> Either String EBSFinding #
ToXML EBSFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFinding Methods toXML :: EBSFinding -> XML #
Generic EBSFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFinding Associated Types type Rep EBSFinding :: Type -> Type # Methods from :: EBSFinding -> Rep EBSFinding x # to :: Rep EBSFinding x -> EBSFinding #
Read EBSFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFinding Methods readsPrec :: Int -> ReadS EBSFinding # readList :: ReadS [EBSFinding] # readPrec :: ReadPrec EBSFinding # readListPrec :: ReadPrec [EBSFinding] #
Show EBSFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFinding Methods showsPrec :: Int -> EBSFinding -> ShowS # show :: EBSFinding -> String # showList :: [EBSFinding] -> ShowS #
NFData EBSFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFinding Methods rnf :: EBSFinding -> () #
Eq EBSFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFinding Methods (==) :: EBSFinding -> EBSFinding -> Bool # (/=) :: EBSFinding -> EBSFinding -> Bool #
Ord EBSFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFinding Methods compare :: EBSFinding -> EBSFinding -> Ordering # (<) :: EBSFinding -> EBSFinding -> Bool # (<=) :: EBSFinding -> EBSFinding -> Bool # (>) :: EBSFinding -> EBSFinding -> Bool # (>=) :: EBSFinding -> EBSFinding -> Bool # max :: EBSFinding -> EBSFinding -> EBSFinding # min :: EBSFinding -> EBSFinding -> EBSFinding #
Hashable EBSFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFinding Methods hashWithSalt :: Int -> EBSFinding -> Int # hash :: EBSFinding -> Int #
type Rep EBSFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFinding type Rep EBSFinding = D1 ('MetaData "EBSFinding" "Amazonka.ComputeOptimizer.Types.EBSFinding" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "EBSFinding'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromEBSFinding") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

EBSMetricName

newtype EBSMetricName Source #

Constructors

EBSMetricName'
Fields fromEBSMetricName :: Text

Bundled Patterns

pattern EBSMetricName_VolumeReadBytesPerSecond :: EBSMetricName
pattern EBSMetricName_VolumeReadOpsPerSecond :: EBSMetricName
pattern EBSMetricName_VolumeWriteBytesPerSecond :: EBSMetricName
pattern EBSMetricName_VolumeWriteOpsPerSecond :: EBSMetricName

Instances

Instances details

FromJSON EBSMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSMetricName Methods parseJSON :: Value -> Parser EBSMetricName # parseJSONList :: Value -> Parser [EBSMetricName] #
FromJSONKey EBSMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSMetricName Methods fromJSONKey :: FromJSONKeyFunction EBSMetricName # fromJSONKeyList :: FromJSONKeyFunction [EBSMetricName] #
ToJSON EBSMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSMetricName Methods toJSON :: EBSMetricName -> Value # toEncoding :: EBSMetricName -> Encoding # toJSONList :: [EBSMetricName] -> Value # toEncodingList :: [EBSMetricName] -> Encoding #
ToJSONKey EBSMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSMetricName Methods toJSONKey :: ToJSONKeyFunction EBSMetricName # toJSONKeyList :: ToJSONKeyFunction [EBSMetricName] #
ToByteString EBSMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSMetricName Methods toBS :: EBSMetricName -> ByteString #
ToHeader EBSMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSMetricName Methods toHeader :: HeaderName -> EBSMetricName -> [Header] #
ToLog EBSMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSMetricName Methods build :: EBSMetricName -> ByteStringBuilder #
ToQuery EBSMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSMetricName Methods toQuery :: EBSMetricName -> QueryString #
FromText EBSMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSMetricName Methods fromText :: Text -> Either String EBSMetricName #
ToText EBSMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSMetricName Methods toText :: EBSMetricName -> Text #
FromXML EBSMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSMetricName Methods parseXML :: [Node] -> Either String EBSMetricName #
ToXML EBSMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSMetricName Methods toXML :: EBSMetricName -> XML #
Generic EBSMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSMetricName Associated Types type Rep EBSMetricName :: Type -> Type # Methods from :: EBSMetricName -> Rep EBSMetricName x # to :: Rep EBSMetricName x -> EBSMetricName #
Read EBSMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSMetricName Methods readsPrec :: Int -> ReadS EBSMetricName # readList :: ReadS [EBSMetricName] # readPrec :: ReadPrec EBSMetricName # readListPrec :: ReadPrec [EBSMetricName] #
Show EBSMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSMetricName Methods showsPrec :: Int -> EBSMetricName -> ShowS # show :: EBSMetricName -> String # showList :: [EBSMetricName] -> ShowS #
NFData EBSMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSMetricName Methods rnf :: EBSMetricName -> () #
Eq EBSMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSMetricName Methods (==) :: EBSMetricName -> EBSMetricName -> Bool # (/=) :: EBSMetricName -> EBSMetricName -> Bool #
Ord EBSMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSMetricName Methods compare :: EBSMetricName -> EBSMetricName -> Ordering # (<) :: EBSMetricName -> EBSMetricName -> Bool # (<=) :: EBSMetricName -> EBSMetricName -> Bool # (>) :: EBSMetricName -> EBSMetricName -> Bool # (>=) :: EBSMetricName -> EBSMetricName -> Bool # max :: EBSMetricName -> EBSMetricName -> EBSMetricName # min :: EBSMetricName -> EBSMetricName -> EBSMetricName #
Hashable EBSMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSMetricName Methods hashWithSalt :: Int -> EBSMetricName -> Int # hash :: EBSMetricName -> Int #
type Rep EBSMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSMetricName type Rep EBSMetricName = D1 ('MetaData "EBSMetricName" "Amazonka.ComputeOptimizer.Types.EBSMetricName" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "EBSMetricName'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromEBSMetricName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ECSServiceLaunchType

newtype ECSServiceLaunchType Source #

Constructors

ECSServiceLaunchType'
Fields fromECSServiceLaunchType :: Text

Bundled Patterns

pattern ECSServiceLaunchType_EC2 :: ECSServiceLaunchType
pattern ECSServiceLaunchType_Fargate :: ECSServiceLaunchType

Instances

Instances details

FromJSON ECSServiceLaunchType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceLaunchType Methods parseJSON :: Value -> Parser ECSServiceLaunchType # parseJSONList :: Value -> Parser [ECSServiceLaunchType] #
FromJSONKey ECSServiceLaunchType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceLaunchType Methods fromJSONKey :: FromJSONKeyFunction ECSServiceLaunchType # fromJSONKeyList :: FromJSONKeyFunction [ECSServiceLaunchType] #
ToJSON ECSServiceLaunchType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceLaunchType Methods toJSON :: ECSServiceLaunchType -> Value # toEncoding :: ECSServiceLaunchType -> Encoding # toJSONList :: [ECSServiceLaunchType] -> Value # toEncodingList :: [ECSServiceLaunchType] -> Encoding #
ToJSONKey ECSServiceLaunchType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceLaunchType Methods toJSONKey :: ToJSONKeyFunction ECSServiceLaunchType # toJSONKeyList :: ToJSONKeyFunction [ECSServiceLaunchType] #
ToByteString ECSServiceLaunchType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceLaunchType Methods toBS :: ECSServiceLaunchType -> ByteString #
ToHeader ECSServiceLaunchType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceLaunchType Methods toHeader :: HeaderName -> ECSServiceLaunchType -> [Header] #
ToLog ECSServiceLaunchType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceLaunchType Methods build :: ECSServiceLaunchType -> ByteStringBuilder #
ToQuery ECSServiceLaunchType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceLaunchType Methods toQuery :: ECSServiceLaunchType -> QueryString #
FromText ECSServiceLaunchType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceLaunchType Methods fromText :: Text -> Either String ECSServiceLaunchType #
ToText ECSServiceLaunchType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceLaunchType Methods toText :: ECSServiceLaunchType -> Text #
FromXML ECSServiceLaunchType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceLaunchType Methods parseXML :: [Node] -> Either String ECSServiceLaunchType #
ToXML ECSServiceLaunchType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceLaunchType Methods toXML :: ECSServiceLaunchType -> XML #
Generic ECSServiceLaunchType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceLaunchType Associated Types type Rep ECSServiceLaunchType :: Type -> Type # Methods from :: ECSServiceLaunchType -> Rep ECSServiceLaunchType x # to :: Rep ECSServiceLaunchType x -> ECSServiceLaunchType #
Read ECSServiceLaunchType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceLaunchType Methods readsPrec :: Int -> ReadS ECSServiceLaunchType # readList :: ReadS [ECSServiceLaunchType] # readPrec :: ReadPrec ECSServiceLaunchType # readListPrec :: ReadPrec [ECSServiceLaunchType] #
Show ECSServiceLaunchType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceLaunchType Methods showsPrec :: Int -> ECSServiceLaunchType -> ShowS # show :: ECSServiceLaunchType -> String # showList :: [ECSServiceLaunchType] -> ShowS #
NFData ECSServiceLaunchType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceLaunchType Methods rnf :: ECSServiceLaunchType -> () #
Eq ECSServiceLaunchType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceLaunchType Methods (==) :: ECSServiceLaunchType -> ECSServiceLaunchType -> Bool # (/=) :: ECSServiceLaunchType -> ECSServiceLaunchType -> Bool #
Ord ECSServiceLaunchType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceLaunchType Methods compare :: ECSServiceLaunchType -> ECSServiceLaunchType -> Ordering # (<) :: ECSServiceLaunchType -> ECSServiceLaunchType -> Bool # (<=) :: ECSServiceLaunchType -> ECSServiceLaunchType -> Bool # (>) :: ECSServiceLaunchType -> ECSServiceLaunchType -> Bool # (>=) :: ECSServiceLaunchType -> ECSServiceLaunchType -> Bool # max :: ECSServiceLaunchType -> ECSServiceLaunchType -> ECSServiceLaunchType # min :: ECSServiceLaunchType -> ECSServiceLaunchType -> ECSServiceLaunchType #
Hashable ECSServiceLaunchType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceLaunchType Methods hashWithSalt :: Int -> ECSServiceLaunchType -> Int # hash :: ECSServiceLaunchType -> Int #
type Rep ECSServiceLaunchType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceLaunchType type Rep ECSServiceLaunchType = D1 ('MetaData "ECSServiceLaunchType" "Amazonka.ComputeOptimizer.Types.ECSServiceLaunchType" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "ECSServiceLaunchType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromECSServiceLaunchType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ECSServiceMetricName

newtype ECSServiceMetricName Source #

Constructors

ECSServiceMetricName'
Fields fromECSServiceMetricName :: Text

Bundled Patterns

pattern ECSServiceMetricName_Cpu :: ECSServiceMetricName
pattern ECSServiceMetricName_Memory :: ECSServiceMetricName

Instances

Instances details

FromJSON ECSServiceMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricName Methods parseJSON :: Value -> Parser ECSServiceMetricName # parseJSONList :: Value -> Parser [ECSServiceMetricName] #
FromJSONKey ECSServiceMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricName Methods fromJSONKey :: FromJSONKeyFunction ECSServiceMetricName # fromJSONKeyList :: FromJSONKeyFunction [ECSServiceMetricName] #
ToJSON ECSServiceMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricName Methods toJSON :: ECSServiceMetricName -> Value # toEncoding :: ECSServiceMetricName -> Encoding # toJSONList :: [ECSServiceMetricName] -> Value # toEncodingList :: [ECSServiceMetricName] -> Encoding #
ToJSONKey ECSServiceMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricName Methods toJSONKey :: ToJSONKeyFunction ECSServiceMetricName # toJSONKeyList :: ToJSONKeyFunction [ECSServiceMetricName] #
ToByteString ECSServiceMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricName Methods toBS :: ECSServiceMetricName -> ByteString #
ToHeader ECSServiceMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricName Methods toHeader :: HeaderName -> ECSServiceMetricName -> [Header] #
ToLog ECSServiceMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricName Methods build :: ECSServiceMetricName -> ByteStringBuilder #
ToQuery ECSServiceMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricName Methods toQuery :: ECSServiceMetricName -> QueryString #
FromText ECSServiceMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricName Methods fromText :: Text -> Either String ECSServiceMetricName #
ToText ECSServiceMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricName Methods toText :: ECSServiceMetricName -> Text #
FromXML ECSServiceMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricName Methods parseXML :: [Node] -> Either String ECSServiceMetricName #
ToXML ECSServiceMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricName Methods toXML :: ECSServiceMetricName -> XML #
Generic ECSServiceMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricName Associated Types type Rep ECSServiceMetricName :: Type -> Type # Methods from :: ECSServiceMetricName -> Rep ECSServiceMetricName x # to :: Rep ECSServiceMetricName x -> ECSServiceMetricName #
Read ECSServiceMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricName Methods readsPrec :: Int -> ReadS ECSServiceMetricName # readList :: ReadS [ECSServiceMetricName] # readPrec :: ReadPrec ECSServiceMetricName # readListPrec :: ReadPrec [ECSServiceMetricName] #
Show ECSServiceMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricName Methods showsPrec :: Int -> ECSServiceMetricName -> ShowS # show :: ECSServiceMetricName -> String # showList :: [ECSServiceMetricName] -> ShowS #
NFData ECSServiceMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricName Methods rnf :: ECSServiceMetricName -> () #
Eq ECSServiceMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricName Methods (==) :: ECSServiceMetricName -> ECSServiceMetricName -> Bool # (/=) :: ECSServiceMetricName -> ECSServiceMetricName -> Bool #
Ord ECSServiceMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricName Methods compare :: ECSServiceMetricName -> ECSServiceMetricName -> Ordering # (<) :: ECSServiceMetricName -> ECSServiceMetricName -> Bool # (<=) :: ECSServiceMetricName -> ECSServiceMetricName -> Bool # (>) :: ECSServiceMetricName -> ECSServiceMetricName -> Bool # (>=) :: ECSServiceMetricName -> ECSServiceMetricName -> Bool # max :: ECSServiceMetricName -> ECSServiceMetricName -> ECSServiceMetricName # min :: ECSServiceMetricName -> ECSServiceMetricName -> ECSServiceMetricName #
Hashable ECSServiceMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricName Methods hashWithSalt :: Int -> ECSServiceMetricName -> Int # hash :: ECSServiceMetricName -> Int #
type Rep ECSServiceMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricName type Rep ECSServiceMetricName = D1 ('MetaData "ECSServiceMetricName" "Amazonka.ComputeOptimizer.Types.ECSServiceMetricName" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "ECSServiceMetricName'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromECSServiceMetricName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ECSServiceMetricStatistic

newtype ECSServiceMetricStatistic Source #

Constructors

ECSServiceMetricStatistic'
Fields fromECSServiceMetricStatistic :: Text

Bundled Patterns

pattern ECSServiceMetricStatistic_Average :: ECSServiceMetricStatistic
pattern ECSServiceMetricStatistic_Maximum :: ECSServiceMetricStatistic

Instances

Instances details

FromJSON ECSServiceMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricStatistic Methods parseJSON :: Value -> Parser ECSServiceMetricStatistic # parseJSONList :: Value -> Parser [ECSServiceMetricStatistic] #
FromJSONKey ECSServiceMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricStatistic Methods fromJSONKey :: FromJSONKeyFunction ECSServiceMetricStatistic # fromJSONKeyList :: FromJSONKeyFunction [ECSServiceMetricStatistic] #
ToJSON ECSServiceMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricStatistic Methods toJSON :: ECSServiceMetricStatistic -> Value # toEncoding :: ECSServiceMetricStatistic -> Encoding # toJSONList :: [ECSServiceMetricStatistic] -> Value # toEncodingList :: [ECSServiceMetricStatistic] -> Encoding #
ToJSONKey ECSServiceMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricStatistic Methods toJSONKey :: ToJSONKeyFunction ECSServiceMetricStatistic # toJSONKeyList :: ToJSONKeyFunction [ECSServiceMetricStatistic] #
ToByteString ECSServiceMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricStatistic Methods toBS :: ECSServiceMetricStatistic -> ByteString #
ToHeader ECSServiceMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricStatistic Methods toHeader :: HeaderName -> ECSServiceMetricStatistic -> [Header] #
ToLog ECSServiceMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricStatistic Methods build :: ECSServiceMetricStatistic -> ByteStringBuilder #
ToQuery ECSServiceMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricStatistic Methods toQuery :: ECSServiceMetricStatistic -> QueryString #
FromText ECSServiceMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricStatistic Methods fromText :: Text -> Either String ECSServiceMetricStatistic #
ToText ECSServiceMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricStatistic Methods toText :: ECSServiceMetricStatistic -> Text #
FromXML ECSServiceMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricStatistic Methods parseXML :: [Node] -> Either String ECSServiceMetricStatistic #
ToXML ECSServiceMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricStatistic Methods toXML :: ECSServiceMetricStatistic -> XML #
Generic ECSServiceMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricStatistic Associated Types type Rep ECSServiceMetricStatistic :: Type -> Type # Methods from :: ECSServiceMetricStatistic -> Rep ECSServiceMetricStatistic x # to :: Rep ECSServiceMetricStatistic x -> ECSServiceMetricStatistic #
Read ECSServiceMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricStatistic Methods readsPrec :: Int -> ReadS ECSServiceMetricStatistic # readList :: ReadS [ECSServiceMetricStatistic] # readPrec :: ReadPrec ECSServiceMetricStatistic # readListPrec :: ReadPrec [ECSServiceMetricStatistic] #
Show ECSServiceMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricStatistic Methods showsPrec :: Int -> ECSServiceMetricStatistic -> ShowS # show :: ECSServiceMetricStatistic -> String # showList :: [ECSServiceMetricStatistic] -> ShowS #
NFData ECSServiceMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricStatistic Methods rnf :: ECSServiceMetricStatistic -> () #
Eq ECSServiceMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricStatistic Methods (==) :: ECSServiceMetricStatistic -> ECSServiceMetricStatistic -> Bool # (/=) :: ECSServiceMetricStatistic -> ECSServiceMetricStatistic -> Bool #
Ord ECSServiceMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricStatistic Methods compare :: ECSServiceMetricStatistic -> ECSServiceMetricStatistic -> Ordering # (<) :: ECSServiceMetricStatistic -> ECSServiceMetricStatistic -> Bool # (<=) :: ECSServiceMetricStatistic -> ECSServiceMetricStatistic -> Bool # (>) :: ECSServiceMetricStatistic -> ECSServiceMetricStatistic -> Bool # (>=) :: ECSServiceMetricStatistic -> ECSServiceMetricStatistic -> Bool # max :: ECSServiceMetricStatistic -> ECSServiceMetricStatistic -> ECSServiceMetricStatistic # min :: ECSServiceMetricStatistic -> ECSServiceMetricStatistic -> ECSServiceMetricStatistic #
Hashable ECSServiceMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricStatistic Methods hashWithSalt :: Int -> ECSServiceMetricStatistic -> Int # hash :: ECSServiceMetricStatistic -> Int #
type Rep ECSServiceMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceMetricStatistic type Rep ECSServiceMetricStatistic = D1 ('MetaData "ECSServiceMetricStatistic" "Amazonka.ComputeOptimizer.Types.ECSServiceMetricStatistic" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "ECSServiceMetricStatistic'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromECSServiceMetricStatistic") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ECSServiceRecommendationFilterName

newtype ECSServiceRecommendationFilterName Source #

Constructors

ECSServiceRecommendationFilterName'
Fields fromECSServiceRecommendationFilterName :: Text

Bundled Patterns

pattern ECSServiceRecommendationFilterName_Finding :: ECSServiceRecommendationFilterName
pattern ECSServiceRecommendationFilterName_FindingReasonCode :: ECSServiceRecommendationFilterName

Instances

Instances details

FromJSON ECSServiceRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFilterName Methods parseJSON :: Value -> Parser ECSServiceRecommendationFilterName # parseJSONList :: Value -> Parser [ECSServiceRecommendationFilterName] #
FromJSONKey ECSServiceRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFilterName Methods fromJSONKey :: FromJSONKeyFunction ECSServiceRecommendationFilterName # fromJSONKeyList :: FromJSONKeyFunction [ECSServiceRecommendationFilterName] #
ToJSON ECSServiceRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFilterName Methods toJSON :: ECSServiceRecommendationFilterName -> Value # toEncoding :: ECSServiceRecommendationFilterName -> Encoding # toJSONList :: [ECSServiceRecommendationFilterName] -> Value # toEncodingList :: [ECSServiceRecommendationFilterName] -> Encoding #
ToJSONKey ECSServiceRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFilterName Methods toJSONKey :: ToJSONKeyFunction ECSServiceRecommendationFilterName # toJSONKeyList :: ToJSONKeyFunction [ECSServiceRecommendationFilterName] #
ToByteString ECSServiceRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFilterName Methods toBS :: ECSServiceRecommendationFilterName -> ByteString #
ToHeader ECSServiceRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFilterName Methods toHeader :: HeaderName -> ECSServiceRecommendationFilterName -> [Header] #
ToLog ECSServiceRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFilterName Methods build :: ECSServiceRecommendationFilterName -> ByteStringBuilder #
ToQuery ECSServiceRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFilterName Methods toQuery :: ECSServiceRecommendationFilterName -> QueryString #
FromText ECSServiceRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFilterName Methods fromText :: Text -> Either String ECSServiceRecommendationFilterName #
ToText ECSServiceRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFilterName Methods toText :: ECSServiceRecommendationFilterName -> Text #
FromXML ECSServiceRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFilterName Methods parseXML :: [Node] -> Either String ECSServiceRecommendationFilterName #
ToXML ECSServiceRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFilterName Methods toXML :: ECSServiceRecommendationFilterName -> XML #
Generic ECSServiceRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFilterName Associated Types type Rep ECSServiceRecommendationFilterName :: Type -> Type # Methods from :: ECSServiceRecommendationFilterName -> Rep ECSServiceRecommendationFilterName x # to :: Rep ECSServiceRecommendationFilterName x -> ECSServiceRecommendationFilterName #
Read ECSServiceRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFilterName Methods readsPrec :: Int -> ReadS ECSServiceRecommendationFilterName # readList :: ReadS [ECSServiceRecommendationFilterName] # readPrec :: ReadPrec ECSServiceRecommendationFilterName # readListPrec :: ReadPrec [ECSServiceRecommendationFilterName] #
Show ECSServiceRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFilterName Methods showsPrec :: Int -> ECSServiceRecommendationFilterName -> ShowS # show :: ECSServiceRecommendationFilterName -> String # showList :: [ECSServiceRecommendationFilterName] -> ShowS #
NFData ECSServiceRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFilterName Methods rnf :: ECSServiceRecommendationFilterName -> () #
Eq ECSServiceRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFilterName Methods (==) :: ECSServiceRecommendationFilterName -> ECSServiceRecommendationFilterName -> Bool # (/=) :: ECSServiceRecommendationFilterName -> ECSServiceRecommendationFilterName -> Bool #
Ord ECSServiceRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFilterName Methods compare :: ECSServiceRecommendationFilterName -> ECSServiceRecommendationFilterName -> Ordering # (<) :: ECSServiceRecommendationFilterName -> ECSServiceRecommendationFilterName -> Bool # (<=) :: ECSServiceRecommendationFilterName -> ECSServiceRecommendationFilterName -> Bool # (>) :: ECSServiceRecommendationFilterName -> ECSServiceRecommendationFilterName -> Bool # (>=) :: ECSServiceRecommendationFilterName -> ECSServiceRecommendationFilterName -> Bool # max :: ECSServiceRecommendationFilterName -> ECSServiceRecommendationFilterName -> ECSServiceRecommendationFilterName # min :: ECSServiceRecommendationFilterName -> ECSServiceRecommendationFilterName -> ECSServiceRecommendationFilterName #
Hashable ECSServiceRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFilterName Methods hashWithSalt :: Int -> ECSServiceRecommendationFilterName -> Int # hash :: ECSServiceRecommendationFilterName -> Int #
type Rep ECSServiceRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFilterName type Rep ECSServiceRecommendationFilterName = D1 ('MetaData "ECSServiceRecommendationFilterName" "Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFilterName" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "ECSServiceRecommendationFilterName'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromECSServiceRecommendationFilterName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ECSServiceRecommendationFinding

newtype ECSServiceRecommendationFinding Source #

Constructors

ECSServiceRecommendationFinding'
Fields fromECSServiceRecommendationFinding :: Text

Bundled Patterns

pattern ECSServiceRecommendationFinding_Optimized :: ECSServiceRecommendationFinding
pattern ECSServiceRecommendationFinding_Overprovisioned :: ECSServiceRecommendationFinding
pattern ECSServiceRecommendationFinding_Underprovisioned :: ECSServiceRecommendationFinding

Instances

Instances details

FromJSON ECSServiceRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFinding Methods parseJSON :: Value -> Parser ECSServiceRecommendationFinding # parseJSONList :: Value -> Parser [ECSServiceRecommendationFinding] #
FromJSONKey ECSServiceRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFinding Methods fromJSONKey :: FromJSONKeyFunction ECSServiceRecommendationFinding # fromJSONKeyList :: FromJSONKeyFunction [ECSServiceRecommendationFinding] #
ToJSON ECSServiceRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFinding Methods toJSON :: ECSServiceRecommendationFinding -> Value # toEncoding :: ECSServiceRecommendationFinding -> Encoding # toJSONList :: [ECSServiceRecommendationFinding] -> Value # toEncodingList :: [ECSServiceRecommendationFinding] -> Encoding #
ToJSONKey ECSServiceRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFinding Methods toJSONKey :: ToJSONKeyFunction ECSServiceRecommendationFinding # toJSONKeyList :: ToJSONKeyFunction [ECSServiceRecommendationFinding] #
ToByteString ECSServiceRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFinding Methods toBS :: ECSServiceRecommendationFinding -> ByteString #
ToHeader ECSServiceRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFinding Methods toHeader :: HeaderName -> ECSServiceRecommendationFinding -> [Header] #
ToLog ECSServiceRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFinding Methods build :: ECSServiceRecommendationFinding -> ByteStringBuilder #
ToQuery ECSServiceRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFinding Methods toQuery :: ECSServiceRecommendationFinding -> QueryString #
FromText ECSServiceRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFinding Methods fromText :: Text -> Either String ECSServiceRecommendationFinding #
ToText ECSServiceRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFinding Methods toText :: ECSServiceRecommendationFinding -> Text #
FromXML ECSServiceRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFinding Methods parseXML :: [Node] -> Either String ECSServiceRecommendationFinding #
ToXML ECSServiceRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFinding Methods toXML :: ECSServiceRecommendationFinding -> XML #
Generic ECSServiceRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFinding Associated Types type Rep ECSServiceRecommendationFinding :: Type -> Type # Methods from :: ECSServiceRecommendationFinding -> Rep ECSServiceRecommendationFinding x # to :: Rep ECSServiceRecommendationFinding x -> ECSServiceRecommendationFinding #
Read ECSServiceRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFinding Methods readsPrec :: Int -> ReadS ECSServiceRecommendationFinding # readList :: ReadS [ECSServiceRecommendationFinding] # readPrec :: ReadPrec ECSServiceRecommendationFinding # readListPrec :: ReadPrec [ECSServiceRecommendationFinding] #
Show ECSServiceRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFinding Methods showsPrec :: Int -> ECSServiceRecommendationFinding -> ShowS # show :: ECSServiceRecommendationFinding -> String # showList :: [ECSServiceRecommendationFinding] -> ShowS #
NFData ECSServiceRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFinding Methods rnf :: ECSServiceRecommendationFinding -> () #
Eq ECSServiceRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFinding Methods (==) :: ECSServiceRecommendationFinding -> ECSServiceRecommendationFinding -> Bool # (/=) :: ECSServiceRecommendationFinding -> ECSServiceRecommendationFinding -> Bool #
Ord ECSServiceRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFinding Methods compare :: ECSServiceRecommendationFinding -> ECSServiceRecommendationFinding -> Ordering # (<) :: ECSServiceRecommendationFinding -> ECSServiceRecommendationFinding -> Bool # (<=) :: ECSServiceRecommendationFinding -> ECSServiceRecommendationFinding -> Bool # (>) :: ECSServiceRecommendationFinding -> ECSServiceRecommendationFinding -> Bool # (>=) :: ECSServiceRecommendationFinding -> ECSServiceRecommendationFinding -> Bool # max :: ECSServiceRecommendationFinding -> ECSServiceRecommendationFinding -> ECSServiceRecommendationFinding # min :: ECSServiceRecommendationFinding -> ECSServiceRecommendationFinding -> ECSServiceRecommendationFinding #
Hashable ECSServiceRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFinding Methods hashWithSalt :: Int -> ECSServiceRecommendationFinding -> Int # hash :: ECSServiceRecommendationFinding -> Int #
type Rep ECSServiceRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFinding type Rep ECSServiceRecommendationFinding = D1 ('MetaData "ECSServiceRecommendationFinding" "Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFinding" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "ECSServiceRecommendationFinding'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromECSServiceRecommendationFinding") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ECSServiceRecommendationFindingReasonCode

newtype ECSServiceRecommendationFindingReasonCode Source #

Constructors

ECSServiceRecommendationFindingReasonCode'
Fields fromECSServiceRecommendationFindingReasonCode :: Text

Bundled Patterns

pattern ECSServiceRecommendationFindingReasonCode_CPUOverprovisioned :: ECSServiceRecommendationFindingReasonCode
pattern ECSServiceRecommendationFindingReasonCode_CPUUnderprovisioned :: ECSServiceRecommendationFindingReasonCode
pattern ECSServiceRecommendationFindingReasonCode_MemoryOverprovisioned :: ECSServiceRecommendationFindingReasonCode
pattern ECSServiceRecommendationFindingReasonCode_MemoryUnderprovisioned :: ECSServiceRecommendationFindingReasonCode

Instances

Instances details

FromJSON ECSServiceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFindingReasonCode Methods parseJSON :: Value -> Parser ECSServiceRecommendationFindingReasonCode # parseJSONList :: Value -> Parser [ECSServiceRecommendationFindingReasonCode] #
FromJSONKey ECSServiceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFindingReasonCode Methods fromJSONKey :: FromJSONKeyFunction ECSServiceRecommendationFindingReasonCode # fromJSONKeyList :: FromJSONKeyFunction [ECSServiceRecommendationFindingReasonCode] #
ToJSON ECSServiceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFindingReasonCode Methods toJSON :: ECSServiceRecommendationFindingReasonCode -> Value # toEncoding :: ECSServiceRecommendationFindingReasonCode -> Encoding # toJSONList :: [ECSServiceRecommendationFindingReasonCode] -> Value # toEncodingList :: [ECSServiceRecommendationFindingReasonCode] -> Encoding #
ToJSONKey ECSServiceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFindingReasonCode Methods toJSONKey :: ToJSONKeyFunction ECSServiceRecommendationFindingReasonCode # toJSONKeyList :: ToJSONKeyFunction [ECSServiceRecommendationFindingReasonCode] #
ToByteString ECSServiceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFindingReasonCode Methods toBS :: ECSServiceRecommendationFindingReasonCode -> ByteString #
ToHeader ECSServiceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFindingReasonCode Methods toHeader :: HeaderName -> ECSServiceRecommendationFindingReasonCode -> [Header] #
ToLog ECSServiceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFindingReasonCode Methods build :: ECSServiceRecommendationFindingReasonCode -> ByteStringBuilder #
ToQuery ECSServiceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFindingReasonCode Methods toQuery :: ECSServiceRecommendationFindingReasonCode -> QueryString #
FromText ECSServiceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFindingReasonCode Methods fromText :: Text -> Either String ECSServiceRecommendationFindingReasonCode #
ToText ECSServiceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFindingReasonCode Methods toText :: ECSServiceRecommendationFindingReasonCode -> Text #
FromXML ECSServiceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFindingReasonCode Methods parseXML :: [Node] -> Either String ECSServiceRecommendationFindingReasonCode #
ToXML ECSServiceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFindingReasonCode Methods toXML :: ECSServiceRecommendationFindingReasonCode -> XML #
Generic ECSServiceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFindingReasonCode Associated Types type Rep ECSServiceRecommendationFindingReasonCode :: Type -> Type # Methods from :: ECSServiceRecommendationFindingReasonCode -> Rep ECSServiceRecommendationFindingReasonCode x # to :: Rep ECSServiceRecommendationFindingReasonCode x -> ECSServiceRecommendationFindingReasonCode #
Read ECSServiceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFindingReasonCode Methods readsPrec :: Int -> ReadS ECSServiceRecommendationFindingReasonCode # readList :: ReadS [ECSServiceRecommendationFindingReasonCode] # readPrec :: ReadPrec ECSServiceRecommendationFindingReasonCode # readListPrec :: ReadPrec [ECSServiceRecommendationFindingReasonCode] #
Show ECSServiceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFindingReasonCode Methods showsPrec :: Int -> ECSServiceRecommendationFindingReasonCode -> ShowS # show :: ECSServiceRecommendationFindingReasonCode -> String # showList :: [ECSServiceRecommendationFindingReasonCode] -> ShowS #
NFData ECSServiceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFindingReasonCode Methods rnf :: ECSServiceRecommendationFindingReasonCode -> () #
Eq ECSServiceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFindingReasonCode Methods (==) :: ECSServiceRecommendationFindingReasonCode -> ECSServiceRecommendationFindingReasonCode -> Bool # (/=) :: ECSServiceRecommendationFindingReasonCode -> ECSServiceRecommendationFindingReasonCode -> Bool #
Ord ECSServiceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFindingReasonCode Methods compare :: ECSServiceRecommendationFindingReasonCode -> ECSServiceRecommendationFindingReasonCode -> Ordering # (<) :: ECSServiceRecommendationFindingReasonCode -> ECSServiceRecommendationFindingReasonCode -> Bool # (<=) :: ECSServiceRecommendationFindingReasonCode -> ECSServiceRecommendationFindingReasonCode -> Bool # (>) :: ECSServiceRecommendationFindingReasonCode -> ECSServiceRecommendationFindingReasonCode -> Bool # (>=) :: ECSServiceRecommendationFindingReasonCode -> ECSServiceRecommendationFindingReasonCode -> Bool # max :: ECSServiceRecommendationFindingReasonCode -> ECSServiceRecommendationFindingReasonCode -> ECSServiceRecommendationFindingReasonCode # min :: ECSServiceRecommendationFindingReasonCode -> ECSServiceRecommendationFindingReasonCode -> ECSServiceRecommendationFindingReasonCode #
Hashable ECSServiceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFindingReasonCode Methods hashWithSalt :: Int -> ECSServiceRecommendationFindingReasonCode -> Int # hash :: ECSServiceRecommendationFindingReasonCode -> Int #
type Rep ECSServiceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFindingReasonCode type Rep ECSServiceRecommendationFindingReasonCode = D1 ('MetaData "ECSServiceRecommendationFindingReasonCode" "Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFindingReasonCode" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "ECSServiceRecommendationFindingReasonCode'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromECSServiceRecommendationFindingReasonCode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

EnhancedInfrastructureMetrics

newtype EnhancedInfrastructureMetrics Source #

Constructors

EnhancedInfrastructureMetrics'
Fields fromEnhancedInfrastructureMetrics :: Text

Bundled Patterns

pattern EnhancedInfrastructureMetrics_Active :: EnhancedInfrastructureMetrics
pattern EnhancedInfrastructureMetrics_Inactive :: EnhancedInfrastructureMetrics

Instances

Instances details

FromJSON EnhancedInfrastructureMetrics Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnhancedInfrastructureMetrics Methods parseJSON :: Value -> Parser EnhancedInfrastructureMetrics # parseJSONList :: Value -> Parser [EnhancedInfrastructureMetrics] #
FromJSONKey EnhancedInfrastructureMetrics Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnhancedInfrastructureMetrics Methods fromJSONKey :: FromJSONKeyFunction EnhancedInfrastructureMetrics # fromJSONKeyList :: FromJSONKeyFunction [EnhancedInfrastructureMetrics] #
ToJSON EnhancedInfrastructureMetrics Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnhancedInfrastructureMetrics Methods toJSON :: EnhancedInfrastructureMetrics -> Value # toEncoding :: EnhancedInfrastructureMetrics -> Encoding # toJSONList :: [EnhancedInfrastructureMetrics] -> Value # toEncodingList :: [EnhancedInfrastructureMetrics] -> Encoding #
ToJSONKey EnhancedInfrastructureMetrics Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnhancedInfrastructureMetrics Methods toJSONKey :: ToJSONKeyFunction EnhancedInfrastructureMetrics # toJSONKeyList :: ToJSONKeyFunction [EnhancedInfrastructureMetrics] #
ToByteString EnhancedInfrastructureMetrics Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnhancedInfrastructureMetrics Methods toBS :: EnhancedInfrastructureMetrics -> ByteString #
ToHeader EnhancedInfrastructureMetrics Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnhancedInfrastructureMetrics Methods toHeader :: HeaderName -> EnhancedInfrastructureMetrics -> [Header] #
ToLog EnhancedInfrastructureMetrics Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnhancedInfrastructureMetrics Methods build :: EnhancedInfrastructureMetrics -> ByteStringBuilder #
ToQuery EnhancedInfrastructureMetrics Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnhancedInfrastructureMetrics Methods toQuery :: EnhancedInfrastructureMetrics -> QueryString #
FromText EnhancedInfrastructureMetrics Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnhancedInfrastructureMetrics Methods fromText :: Text -> Either String EnhancedInfrastructureMetrics #
ToText EnhancedInfrastructureMetrics Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnhancedInfrastructureMetrics Methods toText :: EnhancedInfrastructureMetrics -> Text #
FromXML EnhancedInfrastructureMetrics Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnhancedInfrastructureMetrics Methods parseXML :: [Node] -> Either String EnhancedInfrastructureMetrics #
ToXML EnhancedInfrastructureMetrics Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnhancedInfrastructureMetrics Methods toXML :: EnhancedInfrastructureMetrics -> XML #
Generic EnhancedInfrastructureMetrics Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnhancedInfrastructureMetrics Associated Types type Rep EnhancedInfrastructureMetrics :: Type -> Type # Methods from :: EnhancedInfrastructureMetrics -> Rep EnhancedInfrastructureMetrics x # to :: Rep EnhancedInfrastructureMetrics x -> EnhancedInfrastructureMetrics #
Read EnhancedInfrastructureMetrics Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnhancedInfrastructureMetrics Methods readsPrec :: Int -> ReadS EnhancedInfrastructureMetrics # readList :: ReadS [EnhancedInfrastructureMetrics] # readPrec :: ReadPrec EnhancedInfrastructureMetrics # readListPrec :: ReadPrec [EnhancedInfrastructureMetrics] #
Show EnhancedInfrastructureMetrics Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnhancedInfrastructureMetrics Methods showsPrec :: Int -> EnhancedInfrastructureMetrics -> ShowS # show :: EnhancedInfrastructureMetrics -> String # showList :: [EnhancedInfrastructureMetrics] -> ShowS #
NFData EnhancedInfrastructureMetrics Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnhancedInfrastructureMetrics Methods rnf :: EnhancedInfrastructureMetrics -> () #
Eq EnhancedInfrastructureMetrics Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnhancedInfrastructureMetrics Methods (==) :: EnhancedInfrastructureMetrics -> EnhancedInfrastructureMetrics -> Bool # (/=) :: EnhancedInfrastructureMetrics -> EnhancedInfrastructureMetrics -> Bool #
Ord EnhancedInfrastructureMetrics Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnhancedInfrastructureMetrics Methods compare :: EnhancedInfrastructureMetrics -> EnhancedInfrastructureMetrics -> Ordering # (<) :: EnhancedInfrastructureMetrics -> EnhancedInfrastructureMetrics -> Bool # (<=) :: EnhancedInfrastructureMetrics -> EnhancedInfrastructureMetrics -> Bool # (>) :: EnhancedInfrastructureMetrics -> EnhancedInfrastructureMetrics -> Bool # (>=) :: EnhancedInfrastructureMetrics -> EnhancedInfrastructureMetrics -> Bool # max :: EnhancedInfrastructureMetrics -> EnhancedInfrastructureMetrics -> EnhancedInfrastructureMetrics # min :: EnhancedInfrastructureMetrics -> EnhancedInfrastructureMetrics -> EnhancedInfrastructureMetrics #
Hashable EnhancedInfrastructureMetrics Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnhancedInfrastructureMetrics Methods hashWithSalt :: Int -> EnhancedInfrastructureMetrics -> Int # hash :: EnhancedInfrastructureMetrics -> Int #
type Rep EnhancedInfrastructureMetrics Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnhancedInfrastructureMetrics type Rep EnhancedInfrastructureMetrics = D1 ('MetaData "EnhancedInfrastructureMetrics" "Amazonka.ComputeOptimizer.Types.EnhancedInfrastructureMetrics" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "EnhancedInfrastructureMetrics'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromEnhancedInfrastructureMetrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

EnrollmentFilterName

newtype EnrollmentFilterName Source #

Constructors

EnrollmentFilterName'
Fields fromEnrollmentFilterName :: Text

Bundled Patterns

pattern EnrollmentFilterName_Status :: EnrollmentFilterName

Instances

Instances details

FromJSON EnrollmentFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnrollmentFilterName Methods parseJSON :: Value -> Parser EnrollmentFilterName # parseJSONList :: Value -> Parser [EnrollmentFilterName] #
FromJSONKey EnrollmentFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnrollmentFilterName Methods fromJSONKey :: FromJSONKeyFunction EnrollmentFilterName # fromJSONKeyList :: FromJSONKeyFunction [EnrollmentFilterName] #
ToJSON EnrollmentFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnrollmentFilterName Methods toJSON :: EnrollmentFilterName -> Value # toEncoding :: EnrollmentFilterName -> Encoding # toJSONList :: [EnrollmentFilterName] -> Value # toEncodingList :: [EnrollmentFilterName] -> Encoding #
ToJSONKey EnrollmentFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnrollmentFilterName Methods toJSONKey :: ToJSONKeyFunction EnrollmentFilterName # toJSONKeyList :: ToJSONKeyFunction [EnrollmentFilterName] #
ToByteString EnrollmentFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnrollmentFilterName Methods toBS :: EnrollmentFilterName -> ByteString #
ToHeader EnrollmentFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnrollmentFilterName Methods toHeader :: HeaderName -> EnrollmentFilterName -> [Header] #
ToLog EnrollmentFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnrollmentFilterName Methods build :: EnrollmentFilterName -> ByteStringBuilder #
ToQuery EnrollmentFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnrollmentFilterName Methods toQuery :: EnrollmentFilterName -> QueryString #
FromText EnrollmentFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnrollmentFilterName Methods fromText :: Text -> Either String EnrollmentFilterName #
ToText EnrollmentFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnrollmentFilterName Methods toText :: EnrollmentFilterName -> Text #
FromXML EnrollmentFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnrollmentFilterName Methods parseXML :: [Node] -> Either String EnrollmentFilterName #
ToXML EnrollmentFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnrollmentFilterName Methods toXML :: EnrollmentFilterName -> XML #
Generic EnrollmentFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnrollmentFilterName Associated Types type Rep EnrollmentFilterName :: Type -> Type # Methods from :: EnrollmentFilterName -> Rep EnrollmentFilterName x # to :: Rep EnrollmentFilterName x -> EnrollmentFilterName #
Read EnrollmentFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnrollmentFilterName Methods readsPrec :: Int -> ReadS EnrollmentFilterName # readList :: ReadS [EnrollmentFilterName] # readPrec :: ReadPrec EnrollmentFilterName # readListPrec :: ReadPrec [EnrollmentFilterName] #
Show EnrollmentFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnrollmentFilterName Methods showsPrec :: Int -> EnrollmentFilterName -> ShowS # show :: EnrollmentFilterName -> String # showList :: [EnrollmentFilterName] -> ShowS #
NFData EnrollmentFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnrollmentFilterName Methods rnf :: EnrollmentFilterName -> () #
Eq EnrollmentFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnrollmentFilterName Methods (==) :: EnrollmentFilterName -> EnrollmentFilterName -> Bool # (/=) :: EnrollmentFilterName -> EnrollmentFilterName -> Bool #
Ord EnrollmentFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnrollmentFilterName Methods compare :: EnrollmentFilterName -> EnrollmentFilterName -> Ordering # (<) :: EnrollmentFilterName -> EnrollmentFilterName -> Bool # (<=) :: EnrollmentFilterName -> EnrollmentFilterName -> Bool # (>) :: EnrollmentFilterName -> EnrollmentFilterName -> Bool # (>=) :: EnrollmentFilterName -> EnrollmentFilterName -> Bool # max :: EnrollmentFilterName -> EnrollmentFilterName -> EnrollmentFilterName # min :: EnrollmentFilterName -> EnrollmentFilterName -> EnrollmentFilterName #
Hashable EnrollmentFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnrollmentFilterName Methods hashWithSalt :: Int -> EnrollmentFilterName -> Int # hash :: EnrollmentFilterName -> Int #
type Rep EnrollmentFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnrollmentFilterName type Rep EnrollmentFilterName = D1 ('MetaData "EnrollmentFilterName" "Amazonka.ComputeOptimizer.Types.EnrollmentFilterName" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "EnrollmentFilterName'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromEnrollmentFilterName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ExportableAutoScalingGroupField

newtype ExportableAutoScalingGroupField Source #

Constructors

ExportableAutoScalingGroupField'
Fields fromExportableAutoScalingGroupField :: Text

Bundled Patterns

pattern ExportableAutoScalingGroupField_AccountId :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_AutoScalingGroupArn :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_AutoScalingGroupName :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_CurrentConfigurationDesiredCapacity :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_CurrentConfigurationInstanceType :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_CurrentConfigurationMaxSize :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_CurrentConfigurationMinSize :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_CurrentMemory :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_CurrentNetwork :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_CurrentOnDemandPrice :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_CurrentPerformanceRisk :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_CurrentStandardOneYearNoUpfrontReservedPrice :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_CurrentStandardThreeYearNoUpfrontReservedPrice :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_CurrentStorage :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_CurrentVCpus :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_EffectiveRecommendationPreferencesCpuVendorArchitectures :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_EffectiveRecommendationPreferencesEnhancedInfrastructureMetrics :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_EffectiveRecommendationPreferencesInferredWorkloadTypes :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_Finding :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_InferredWorkloadTypes :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_LastRefreshTimestamp :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_LookbackPeriodInDays :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_RecommendationOptionsConfigurationDesiredCapacity :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_RecommendationOptionsConfigurationInstanceType :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_RecommendationOptionsConfigurationMaxSize :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_RecommendationOptionsConfigurationMinSize :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_RecommendationOptionsEstimatedMonthlySavingsCurrency :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_RecommendationOptionsEstimatedMonthlySavingsValue :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_RecommendationOptionsMemory :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_RecommendationOptionsMigrationEffort :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_RecommendationOptionsNetwork :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_RecommendationOptionsOnDemandPrice :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_RecommendationOptionsPerformanceRisk :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_RecommendationOptionsProjectedUtilizationMetricsCpuMaximum :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_RecommendationOptionsProjectedUtilizationMetricsMemoryMaximum :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_RecommendationOptionsSavingsOpportunityPercentage :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_RecommendationOptionsStandardOneYearNoUpfrontReservedPrice :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_RecommendationOptionsStandardThreeYearNoUpfrontReservedPrice :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_RecommendationOptionsStorage :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_RecommendationOptionsVcpus :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_UtilizationMetricsCpuMaximum :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_UtilizationMetricsDiskReadBytesPerSecondMaximum :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_UtilizationMetricsDiskReadOpsPerSecondMaximum :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_UtilizationMetricsDiskWriteBytesPerSecondMaximum :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_UtilizationMetricsDiskWriteOpsPerSecondMaximum :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_UtilizationMetricsEbsReadBytesPerSecondMaximum :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_UtilizationMetricsEbsReadOpsPerSecondMaximum :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_UtilizationMetricsEbsWriteBytesPerSecondMaximum :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_UtilizationMetricsEbsWriteOpsPerSecondMaximum :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_UtilizationMetricsMemoryMaximum :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_UtilizationMetricsNetworkInBytesPerSecondMaximum :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_UtilizationMetricsNetworkOutBytesPerSecondMaximum :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_UtilizationMetricsNetworkPacketsInPerSecondMaximum :: ExportableAutoScalingGroupField
pattern ExportableAutoScalingGroupField_UtilizationMetricsNetworkPacketsOutPerSecondMaximum :: ExportableAutoScalingGroupField

Instances

Instances details

FromJSON ExportableAutoScalingGroupField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableAutoScalingGroupField Methods parseJSON :: Value -> Parser ExportableAutoScalingGroupField # parseJSONList :: Value -> Parser [ExportableAutoScalingGroupField] #
FromJSONKey ExportableAutoScalingGroupField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableAutoScalingGroupField Methods fromJSONKey :: FromJSONKeyFunction ExportableAutoScalingGroupField # fromJSONKeyList :: FromJSONKeyFunction [ExportableAutoScalingGroupField] #
ToJSON ExportableAutoScalingGroupField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableAutoScalingGroupField Methods toJSON :: ExportableAutoScalingGroupField -> Value # toEncoding :: ExportableAutoScalingGroupField -> Encoding # toJSONList :: [ExportableAutoScalingGroupField] -> Value # toEncodingList :: [ExportableAutoScalingGroupField] -> Encoding #
ToJSONKey ExportableAutoScalingGroupField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableAutoScalingGroupField Methods toJSONKey :: ToJSONKeyFunction ExportableAutoScalingGroupField # toJSONKeyList :: ToJSONKeyFunction [ExportableAutoScalingGroupField] #
ToByteString ExportableAutoScalingGroupField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableAutoScalingGroupField Methods toBS :: ExportableAutoScalingGroupField -> ByteString #
ToHeader ExportableAutoScalingGroupField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableAutoScalingGroupField Methods toHeader :: HeaderName -> ExportableAutoScalingGroupField -> [Header] #
ToLog ExportableAutoScalingGroupField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableAutoScalingGroupField Methods build :: ExportableAutoScalingGroupField -> ByteStringBuilder #
ToQuery ExportableAutoScalingGroupField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableAutoScalingGroupField Methods toQuery :: ExportableAutoScalingGroupField -> QueryString #
FromText ExportableAutoScalingGroupField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableAutoScalingGroupField Methods fromText :: Text -> Either String ExportableAutoScalingGroupField #
ToText ExportableAutoScalingGroupField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableAutoScalingGroupField Methods toText :: ExportableAutoScalingGroupField -> Text #
FromXML ExportableAutoScalingGroupField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableAutoScalingGroupField Methods parseXML :: [Node] -> Either String ExportableAutoScalingGroupField #
ToXML ExportableAutoScalingGroupField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableAutoScalingGroupField Methods toXML :: ExportableAutoScalingGroupField -> XML #
Generic ExportableAutoScalingGroupField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableAutoScalingGroupField Associated Types type Rep ExportableAutoScalingGroupField :: Type -> Type # Methods from :: ExportableAutoScalingGroupField -> Rep ExportableAutoScalingGroupField x # to :: Rep ExportableAutoScalingGroupField x -> ExportableAutoScalingGroupField #
Read ExportableAutoScalingGroupField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableAutoScalingGroupField Methods readsPrec :: Int -> ReadS ExportableAutoScalingGroupField # readList :: ReadS [ExportableAutoScalingGroupField] # readPrec :: ReadPrec ExportableAutoScalingGroupField # readListPrec :: ReadPrec [ExportableAutoScalingGroupField] #
Show ExportableAutoScalingGroupField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableAutoScalingGroupField Methods showsPrec :: Int -> ExportableAutoScalingGroupField -> ShowS # show :: ExportableAutoScalingGroupField -> String # showList :: [ExportableAutoScalingGroupField] -> ShowS #
NFData ExportableAutoScalingGroupField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableAutoScalingGroupField Methods rnf :: ExportableAutoScalingGroupField -> () #
Eq ExportableAutoScalingGroupField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableAutoScalingGroupField Methods (==) :: ExportableAutoScalingGroupField -> ExportableAutoScalingGroupField -> Bool # (/=) :: ExportableAutoScalingGroupField -> ExportableAutoScalingGroupField -> Bool #
Ord ExportableAutoScalingGroupField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableAutoScalingGroupField Methods compare :: ExportableAutoScalingGroupField -> ExportableAutoScalingGroupField -> Ordering # (<) :: ExportableAutoScalingGroupField -> ExportableAutoScalingGroupField -> Bool # (<=) :: ExportableAutoScalingGroupField -> ExportableAutoScalingGroupField -> Bool # (>) :: ExportableAutoScalingGroupField -> ExportableAutoScalingGroupField -> Bool # (>=) :: ExportableAutoScalingGroupField -> ExportableAutoScalingGroupField -> Bool # max :: ExportableAutoScalingGroupField -> ExportableAutoScalingGroupField -> ExportableAutoScalingGroupField # min :: ExportableAutoScalingGroupField -> ExportableAutoScalingGroupField -> ExportableAutoScalingGroupField #
Hashable ExportableAutoScalingGroupField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableAutoScalingGroupField Methods hashWithSalt :: Int -> ExportableAutoScalingGroupField -> Int # hash :: ExportableAutoScalingGroupField -> Int #
type Rep ExportableAutoScalingGroupField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableAutoScalingGroupField type Rep ExportableAutoScalingGroupField = D1 ('MetaData "ExportableAutoScalingGroupField" "Amazonka.ComputeOptimizer.Types.ExportableAutoScalingGroupField" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "ExportableAutoScalingGroupField'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromExportableAutoScalingGroupField") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ExportableECSServiceField

newtype ExportableECSServiceField Source #

Constructors

ExportableECSServiceField'
Fields fromExportableECSServiceField :: Text

Bundled Patterns

pattern ExportableECSServiceField_AccountId :: ExportableECSServiceField
pattern ExportableECSServiceField_CurrentPerformanceRisk :: ExportableECSServiceField
pattern ExportableECSServiceField_CurrentServiceConfigurationAutoScalingConfiguration :: ExportableECSServiceField
pattern ExportableECSServiceField_CurrentServiceConfigurationCpu :: ExportableECSServiceField
pattern ExportableECSServiceField_CurrentServiceConfigurationMemory :: ExportableECSServiceField
pattern ExportableECSServiceField_CurrentServiceConfigurationTaskDefinitionArn :: ExportableECSServiceField
pattern ExportableECSServiceField_CurrentServiceContainerConfigurations :: ExportableECSServiceField
pattern ExportableECSServiceField_Finding :: ExportableECSServiceField
pattern ExportableECSServiceField_FindingReasonCodes :: ExportableECSServiceField
pattern ExportableECSServiceField_LastRefreshTimestamp :: ExportableECSServiceField
pattern ExportableECSServiceField_LaunchType :: ExportableECSServiceField
pattern ExportableECSServiceField_LookbackPeriodInDays :: ExportableECSServiceField
pattern ExportableECSServiceField_RecommendationOptionsContainerRecommendations :: ExportableECSServiceField
pattern ExportableECSServiceField_RecommendationOptionsCpu :: ExportableECSServiceField
pattern ExportableECSServiceField_RecommendationOptionsEstimatedMonthlySavingsCurrency :: ExportableECSServiceField
pattern ExportableECSServiceField_RecommendationOptionsEstimatedMonthlySavingsValue :: ExportableECSServiceField
pattern ExportableECSServiceField_RecommendationOptionsMemory :: ExportableECSServiceField
pattern ExportableECSServiceField_RecommendationOptionsProjectedUtilizationMetricsCpuMaximum :: ExportableECSServiceField
pattern ExportableECSServiceField_RecommendationOptionsProjectedUtilizationMetricsMemoryMaximum :: ExportableECSServiceField
pattern ExportableECSServiceField_RecommendationOptionsSavingsOpportunityPercentage :: ExportableECSServiceField
pattern ExportableECSServiceField_ServiceArn :: ExportableECSServiceField
pattern ExportableECSServiceField_UtilizationMetricsCpuMaximum :: ExportableECSServiceField
pattern ExportableECSServiceField_UtilizationMetricsMemoryMaximum :: ExportableECSServiceField

Instances

Instances details

FromJSON ExportableECSServiceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableECSServiceField Methods parseJSON :: Value -> Parser ExportableECSServiceField # parseJSONList :: Value -> Parser [ExportableECSServiceField] #
FromJSONKey ExportableECSServiceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableECSServiceField Methods fromJSONKey :: FromJSONKeyFunction ExportableECSServiceField # fromJSONKeyList :: FromJSONKeyFunction [ExportableECSServiceField] #
ToJSON ExportableECSServiceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableECSServiceField Methods toJSON :: ExportableECSServiceField -> Value # toEncoding :: ExportableECSServiceField -> Encoding # toJSONList :: [ExportableECSServiceField] -> Value # toEncodingList :: [ExportableECSServiceField] -> Encoding #
ToJSONKey ExportableECSServiceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableECSServiceField Methods toJSONKey :: ToJSONKeyFunction ExportableECSServiceField # toJSONKeyList :: ToJSONKeyFunction [ExportableECSServiceField] #
ToByteString ExportableECSServiceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableECSServiceField Methods toBS :: ExportableECSServiceField -> ByteString #
ToHeader ExportableECSServiceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableECSServiceField Methods toHeader :: HeaderName -> ExportableECSServiceField -> [Header] #
ToLog ExportableECSServiceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableECSServiceField Methods build :: ExportableECSServiceField -> ByteStringBuilder #
ToQuery ExportableECSServiceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableECSServiceField Methods toQuery :: ExportableECSServiceField -> QueryString #
FromText ExportableECSServiceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableECSServiceField Methods fromText :: Text -> Either String ExportableECSServiceField #
ToText ExportableECSServiceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableECSServiceField Methods toText :: ExportableECSServiceField -> Text #
FromXML ExportableECSServiceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableECSServiceField Methods parseXML :: [Node] -> Either String ExportableECSServiceField #
ToXML ExportableECSServiceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableECSServiceField Methods toXML :: ExportableECSServiceField -> XML #
Generic ExportableECSServiceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableECSServiceField Associated Types type Rep ExportableECSServiceField :: Type -> Type # Methods from :: ExportableECSServiceField -> Rep ExportableECSServiceField x # to :: Rep ExportableECSServiceField x -> ExportableECSServiceField #
Read ExportableECSServiceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableECSServiceField Methods readsPrec :: Int -> ReadS ExportableECSServiceField # readList :: ReadS [ExportableECSServiceField] # readPrec :: ReadPrec ExportableECSServiceField # readListPrec :: ReadPrec [ExportableECSServiceField] #
Show ExportableECSServiceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableECSServiceField Methods showsPrec :: Int -> ExportableECSServiceField -> ShowS # show :: ExportableECSServiceField -> String # showList :: [ExportableECSServiceField] -> ShowS #
NFData ExportableECSServiceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableECSServiceField Methods rnf :: ExportableECSServiceField -> () #
Eq ExportableECSServiceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableECSServiceField Methods (==) :: ExportableECSServiceField -> ExportableECSServiceField -> Bool # (/=) :: ExportableECSServiceField -> ExportableECSServiceField -> Bool #
Ord ExportableECSServiceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableECSServiceField Methods compare :: ExportableECSServiceField -> ExportableECSServiceField -> Ordering # (<) :: ExportableECSServiceField -> ExportableECSServiceField -> Bool # (<=) :: ExportableECSServiceField -> ExportableECSServiceField -> Bool # (>) :: ExportableECSServiceField -> ExportableECSServiceField -> Bool # (>=) :: ExportableECSServiceField -> ExportableECSServiceField -> Bool # max :: ExportableECSServiceField -> ExportableECSServiceField -> ExportableECSServiceField # min :: ExportableECSServiceField -> ExportableECSServiceField -> ExportableECSServiceField #
Hashable ExportableECSServiceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableECSServiceField Methods hashWithSalt :: Int -> ExportableECSServiceField -> Int # hash :: ExportableECSServiceField -> Int #
type Rep ExportableECSServiceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableECSServiceField type Rep ExportableECSServiceField = D1 ('MetaData "ExportableECSServiceField" "Amazonka.ComputeOptimizer.Types.ExportableECSServiceField" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "ExportableECSServiceField'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromExportableECSServiceField") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ExportableInstanceField

newtype ExportableInstanceField Source #

Constructors

ExportableInstanceField'
Fields fromExportableInstanceField :: Text

Bundled Patterns

pattern ExportableInstanceField_AccountId :: ExportableInstanceField
pattern ExportableInstanceField_CurrentInstanceType :: ExportableInstanceField
pattern ExportableInstanceField_CurrentMemory :: ExportableInstanceField
pattern ExportableInstanceField_CurrentNetwork :: ExportableInstanceField
pattern ExportableInstanceField_CurrentOnDemandPrice :: ExportableInstanceField
pattern ExportableInstanceField_CurrentPerformanceRisk :: ExportableInstanceField
pattern ExportableInstanceField_CurrentStandardOneYearNoUpfrontReservedPrice :: ExportableInstanceField
pattern ExportableInstanceField_CurrentStandardThreeYearNoUpfrontReservedPrice :: ExportableInstanceField
pattern ExportableInstanceField_CurrentStorage :: ExportableInstanceField
pattern ExportableInstanceField_CurrentVCpus :: ExportableInstanceField
pattern ExportableInstanceField_EffectiveRecommendationPreferencesCpuVendorArchitectures :: ExportableInstanceField
pattern ExportableInstanceField_EffectiveRecommendationPreferencesEnhancedInfrastructureMetrics :: ExportableInstanceField
pattern ExportableInstanceField_EffectiveRecommendationPreferencesExternalMetricsSource :: ExportableInstanceField
pattern ExportableInstanceField_EffectiveRecommendationPreferencesInferredWorkloadTypes :: ExportableInstanceField
pattern ExportableInstanceField_Finding :: ExportableInstanceField
pattern ExportableInstanceField_FindingReasonCodes :: ExportableInstanceField
pattern ExportableInstanceField_InferredWorkloadTypes :: ExportableInstanceField
pattern ExportableInstanceField_InstanceArn :: ExportableInstanceField
pattern ExportableInstanceField_InstanceName :: ExportableInstanceField
pattern ExportableInstanceField_LastRefreshTimestamp :: ExportableInstanceField
pattern ExportableInstanceField_LookbackPeriodInDays :: ExportableInstanceField
pattern ExportableInstanceField_RecommendationOptionsEstimatedMonthlySavingsCurrency :: ExportableInstanceField
pattern ExportableInstanceField_RecommendationOptionsEstimatedMonthlySavingsValue :: ExportableInstanceField
pattern ExportableInstanceField_RecommendationOptionsInstanceType :: ExportableInstanceField
pattern ExportableInstanceField_RecommendationOptionsMemory :: ExportableInstanceField
pattern ExportableInstanceField_RecommendationOptionsMigrationEffort :: ExportableInstanceField
pattern ExportableInstanceField_RecommendationOptionsNetwork :: ExportableInstanceField
pattern ExportableInstanceField_RecommendationOptionsOnDemandPrice :: ExportableInstanceField
pattern ExportableInstanceField_RecommendationOptionsPerformanceRisk :: ExportableInstanceField
pattern ExportableInstanceField_RecommendationOptionsPlatformDifferences :: ExportableInstanceField
pattern ExportableInstanceField_RecommendationOptionsProjectedUtilizationMetricsCpuMaximum :: ExportableInstanceField
pattern ExportableInstanceField_RecommendationOptionsProjectedUtilizationMetricsMemoryMaximum :: ExportableInstanceField
pattern ExportableInstanceField_RecommendationOptionsSavingsOpportunityPercentage :: ExportableInstanceField
pattern ExportableInstanceField_RecommendationOptionsStandardOneYearNoUpfrontReservedPrice :: ExportableInstanceField
pattern ExportableInstanceField_RecommendationOptionsStandardThreeYearNoUpfrontReservedPrice :: ExportableInstanceField
pattern ExportableInstanceField_RecommendationOptionsStorage :: ExportableInstanceField
pattern ExportableInstanceField_RecommendationOptionsVcpus :: ExportableInstanceField
pattern ExportableInstanceField_RecommendationsSourcesRecommendationSourceArn :: ExportableInstanceField
pattern ExportableInstanceField_RecommendationsSourcesRecommendationSourceType :: ExportableInstanceField
pattern ExportableInstanceField_UtilizationMetricsCpuMaximum :: ExportableInstanceField
pattern ExportableInstanceField_UtilizationMetricsDiskReadBytesPerSecondMaximum :: ExportableInstanceField
pattern ExportableInstanceField_UtilizationMetricsDiskReadOpsPerSecondMaximum :: ExportableInstanceField
pattern ExportableInstanceField_UtilizationMetricsDiskWriteBytesPerSecondMaximum :: ExportableInstanceField
pattern ExportableInstanceField_UtilizationMetricsDiskWriteOpsPerSecondMaximum :: ExportableInstanceField
pattern ExportableInstanceField_UtilizationMetricsEbsReadBytesPerSecondMaximum :: ExportableInstanceField
pattern ExportableInstanceField_UtilizationMetricsEbsReadOpsPerSecondMaximum :: ExportableInstanceField
pattern ExportableInstanceField_UtilizationMetricsEbsWriteBytesPerSecondMaximum :: ExportableInstanceField
pattern ExportableInstanceField_UtilizationMetricsEbsWriteOpsPerSecondMaximum :: ExportableInstanceField
pattern ExportableInstanceField_UtilizationMetricsMemoryMaximum :: ExportableInstanceField
pattern ExportableInstanceField_UtilizationMetricsNetworkInBytesPerSecondMaximum :: ExportableInstanceField
pattern ExportableInstanceField_UtilizationMetricsNetworkOutBytesPerSecondMaximum :: ExportableInstanceField
pattern ExportableInstanceField_UtilizationMetricsNetworkPacketsInPerSecondMaximum :: ExportableInstanceField
pattern ExportableInstanceField_UtilizationMetricsNetworkPacketsOutPerSecondMaximum :: ExportableInstanceField

Instances

Instances details

FromJSON ExportableInstanceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableInstanceField Methods parseJSON :: Value -> Parser ExportableInstanceField # parseJSONList :: Value -> Parser [ExportableInstanceField] #
FromJSONKey ExportableInstanceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableInstanceField Methods fromJSONKey :: FromJSONKeyFunction ExportableInstanceField # fromJSONKeyList :: FromJSONKeyFunction [ExportableInstanceField] #
ToJSON ExportableInstanceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableInstanceField Methods toJSON :: ExportableInstanceField -> Value # toEncoding :: ExportableInstanceField -> Encoding # toJSONList :: [ExportableInstanceField] -> Value # toEncodingList :: [ExportableInstanceField] -> Encoding #
ToJSONKey ExportableInstanceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableInstanceField Methods toJSONKey :: ToJSONKeyFunction ExportableInstanceField # toJSONKeyList :: ToJSONKeyFunction [ExportableInstanceField] #
ToByteString ExportableInstanceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableInstanceField Methods toBS :: ExportableInstanceField -> ByteString #
ToHeader ExportableInstanceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableInstanceField Methods toHeader :: HeaderName -> ExportableInstanceField -> [Header] #
ToLog ExportableInstanceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableInstanceField Methods build :: ExportableInstanceField -> ByteStringBuilder #
ToQuery ExportableInstanceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableInstanceField Methods toQuery :: ExportableInstanceField -> QueryString #
FromText ExportableInstanceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableInstanceField Methods fromText :: Text -> Either String ExportableInstanceField #
ToText ExportableInstanceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableInstanceField Methods toText :: ExportableInstanceField -> Text #
FromXML ExportableInstanceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableInstanceField Methods parseXML :: [Node] -> Either String ExportableInstanceField #
ToXML ExportableInstanceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableInstanceField Methods toXML :: ExportableInstanceField -> XML #
Generic ExportableInstanceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableInstanceField Associated Types type Rep ExportableInstanceField :: Type -> Type # Methods from :: ExportableInstanceField -> Rep ExportableInstanceField x # to :: Rep ExportableInstanceField x -> ExportableInstanceField #
Read ExportableInstanceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableInstanceField Methods readsPrec :: Int -> ReadS ExportableInstanceField # readList :: ReadS [ExportableInstanceField] # readPrec :: ReadPrec ExportableInstanceField # readListPrec :: ReadPrec [ExportableInstanceField] #
Show ExportableInstanceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableInstanceField Methods showsPrec :: Int -> ExportableInstanceField -> ShowS # show :: ExportableInstanceField -> String # showList :: [ExportableInstanceField] -> ShowS #
NFData ExportableInstanceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableInstanceField Methods rnf :: ExportableInstanceField -> () #
Eq ExportableInstanceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableInstanceField Methods (==) :: ExportableInstanceField -> ExportableInstanceField -> Bool # (/=) :: ExportableInstanceField -> ExportableInstanceField -> Bool #
Ord ExportableInstanceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableInstanceField Methods compare :: ExportableInstanceField -> ExportableInstanceField -> Ordering # (<) :: ExportableInstanceField -> ExportableInstanceField -> Bool # (<=) :: ExportableInstanceField -> ExportableInstanceField -> Bool # (>) :: ExportableInstanceField -> ExportableInstanceField -> Bool # (>=) :: ExportableInstanceField -> ExportableInstanceField -> Bool # max :: ExportableInstanceField -> ExportableInstanceField -> ExportableInstanceField # min :: ExportableInstanceField -> ExportableInstanceField -> ExportableInstanceField #
Hashable ExportableInstanceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableInstanceField Methods hashWithSalt :: Int -> ExportableInstanceField -> Int # hash :: ExportableInstanceField -> Int #
type Rep ExportableInstanceField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableInstanceField type Rep ExportableInstanceField = D1 ('MetaData "ExportableInstanceField" "Amazonka.ComputeOptimizer.Types.ExportableInstanceField" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "ExportableInstanceField'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromExportableInstanceField") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ExportableLambdaFunctionField

newtype ExportableLambdaFunctionField Source #

Constructors

ExportableLambdaFunctionField'
Fields fromExportableLambdaFunctionField :: Text

Bundled Patterns

pattern ExportableLambdaFunctionField_AccountId :: ExportableLambdaFunctionField
pattern ExportableLambdaFunctionField_CurrentConfigurationMemorySize :: ExportableLambdaFunctionField
pattern ExportableLambdaFunctionField_CurrentConfigurationTimeout :: ExportableLambdaFunctionField
pattern ExportableLambdaFunctionField_CurrentCostAverage :: ExportableLambdaFunctionField
pattern ExportableLambdaFunctionField_CurrentCostTotal :: ExportableLambdaFunctionField
pattern ExportableLambdaFunctionField_CurrentPerformanceRisk :: ExportableLambdaFunctionField
pattern ExportableLambdaFunctionField_Finding :: ExportableLambdaFunctionField
pattern ExportableLambdaFunctionField_FindingReasonCodes :: ExportableLambdaFunctionField
pattern ExportableLambdaFunctionField_FunctionArn :: ExportableLambdaFunctionField
pattern ExportableLambdaFunctionField_FunctionVersion :: ExportableLambdaFunctionField
pattern ExportableLambdaFunctionField_LastRefreshTimestamp :: ExportableLambdaFunctionField
pattern ExportableLambdaFunctionField_LookbackPeriodInDays :: ExportableLambdaFunctionField
pattern ExportableLambdaFunctionField_NumberOfInvocations :: ExportableLambdaFunctionField
pattern ExportableLambdaFunctionField_RecommendationOptionsConfigurationMemorySize :: ExportableLambdaFunctionField
pattern ExportableLambdaFunctionField_RecommendationOptionsCostHigh :: ExportableLambdaFunctionField
pattern ExportableLambdaFunctionField_RecommendationOptionsCostLow :: ExportableLambdaFunctionField
pattern ExportableLambdaFunctionField_RecommendationOptionsEstimatedMonthlySavingsCurrency :: ExportableLambdaFunctionField
pattern ExportableLambdaFunctionField_RecommendationOptionsEstimatedMonthlySavingsValue :: ExportableLambdaFunctionField
pattern ExportableLambdaFunctionField_RecommendationOptionsProjectedUtilizationMetricsDurationExpected :: ExportableLambdaFunctionField
pattern ExportableLambdaFunctionField_RecommendationOptionsProjectedUtilizationMetricsDurationLowerBound :: ExportableLambdaFunctionField
pattern ExportableLambdaFunctionField_RecommendationOptionsProjectedUtilizationMetricsDurationUpperBound :: ExportableLambdaFunctionField
pattern ExportableLambdaFunctionField_RecommendationOptionsSavingsOpportunityPercentage :: ExportableLambdaFunctionField
pattern ExportableLambdaFunctionField_UtilizationMetricsDurationAverage :: ExportableLambdaFunctionField
pattern ExportableLambdaFunctionField_UtilizationMetricsDurationMaximum :: ExportableLambdaFunctionField
pattern ExportableLambdaFunctionField_UtilizationMetricsMemoryAverage :: ExportableLambdaFunctionField
pattern ExportableLambdaFunctionField_UtilizationMetricsMemoryMaximum :: ExportableLambdaFunctionField

Instances

Instances details

FromJSON ExportableLambdaFunctionField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableLambdaFunctionField Methods parseJSON :: Value -> Parser ExportableLambdaFunctionField # parseJSONList :: Value -> Parser [ExportableLambdaFunctionField] #
FromJSONKey ExportableLambdaFunctionField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableLambdaFunctionField Methods fromJSONKey :: FromJSONKeyFunction ExportableLambdaFunctionField # fromJSONKeyList :: FromJSONKeyFunction [ExportableLambdaFunctionField] #
ToJSON ExportableLambdaFunctionField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableLambdaFunctionField Methods toJSON :: ExportableLambdaFunctionField -> Value # toEncoding :: ExportableLambdaFunctionField -> Encoding # toJSONList :: [ExportableLambdaFunctionField] -> Value # toEncodingList :: [ExportableLambdaFunctionField] -> Encoding #
ToJSONKey ExportableLambdaFunctionField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableLambdaFunctionField Methods toJSONKey :: ToJSONKeyFunction ExportableLambdaFunctionField # toJSONKeyList :: ToJSONKeyFunction [ExportableLambdaFunctionField] #
ToByteString ExportableLambdaFunctionField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableLambdaFunctionField Methods toBS :: ExportableLambdaFunctionField -> ByteString #
ToHeader ExportableLambdaFunctionField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableLambdaFunctionField Methods toHeader :: HeaderName -> ExportableLambdaFunctionField -> [Header] #
ToLog ExportableLambdaFunctionField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableLambdaFunctionField Methods build :: ExportableLambdaFunctionField -> ByteStringBuilder #
ToQuery ExportableLambdaFunctionField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableLambdaFunctionField Methods toQuery :: ExportableLambdaFunctionField -> QueryString #
FromText ExportableLambdaFunctionField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableLambdaFunctionField Methods fromText :: Text -> Either String ExportableLambdaFunctionField #
ToText ExportableLambdaFunctionField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableLambdaFunctionField Methods toText :: ExportableLambdaFunctionField -> Text #
FromXML ExportableLambdaFunctionField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableLambdaFunctionField Methods parseXML :: [Node] -> Either String ExportableLambdaFunctionField #
ToXML ExportableLambdaFunctionField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableLambdaFunctionField Methods toXML :: ExportableLambdaFunctionField -> XML #
Generic ExportableLambdaFunctionField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableLambdaFunctionField Associated Types type Rep ExportableLambdaFunctionField :: Type -> Type # Methods from :: ExportableLambdaFunctionField -> Rep ExportableLambdaFunctionField x # to :: Rep ExportableLambdaFunctionField x -> ExportableLambdaFunctionField #
Read ExportableLambdaFunctionField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableLambdaFunctionField Methods readsPrec :: Int -> ReadS ExportableLambdaFunctionField # readList :: ReadS [ExportableLambdaFunctionField] # readPrec :: ReadPrec ExportableLambdaFunctionField # readListPrec :: ReadPrec [ExportableLambdaFunctionField] #
Show ExportableLambdaFunctionField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableLambdaFunctionField Methods showsPrec :: Int -> ExportableLambdaFunctionField -> ShowS # show :: ExportableLambdaFunctionField -> String # showList :: [ExportableLambdaFunctionField] -> ShowS #
NFData ExportableLambdaFunctionField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableLambdaFunctionField Methods rnf :: ExportableLambdaFunctionField -> () #
Eq ExportableLambdaFunctionField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableLambdaFunctionField Methods (==) :: ExportableLambdaFunctionField -> ExportableLambdaFunctionField -> Bool # (/=) :: ExportableLambdaFunctionField -> ExportableLambdaFunctionField -> Bool #
Ord ExportableLambdaFunctionField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableLambdaFunctionField Methods compare :: ExportableLambdaFunctionField -> ExportableLambdaFunctionField -> Ordering # (<) :: ExportableLambdaFunctionField -> ExportableLambdaFunctionField -> Bool # (<=) :: ExportableLambdaFunctionField -> ExportableLambdaFunctionField -> Bool # (>) :: ExportableLambdaFunctionField -> ExportableLambdaFunctionField -> Bool # (>=) :: ExportableLambdaFunctionField -> ExportableLambdaFunctionField -> Bool # max :: ExportableLambdaFunctionField -> ExportableLambdaFunctionField -> ExportableLambdaFunctionField # min :: ExportableLambdaFunctionField -> ExportableLambdaFunctionField -> ExportableLambdaFunctionField #
Hashable ExportableLambdaFunctionField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableLambdaFunctionField Methods hashWithSalt :: Int -> ExportableLambdaFunctionField -> Int # hash :: ExportableLambdaFunctionField -> Int #
type Rep ExportableLambdaFunctionField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableLambdaFunctionField type Rep ExportableLambdaFunctionField = D1 ('MetaData "ExportableLambdaFunctionField" "Amazonka.ComputeOptimizer.Types.ExportableLambdaFunctionField" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "ExportableLambdaFunctionField'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromExportableLambdaFunctionField") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ExportableVolumeField

newtype ExportableVolumeField Source #

Constructors

ExportableVolumeField'
Fields fromExportableVolumeField :: Text

Bundled Patterns

pattern ExportableVolumeField_AccountId :: ExportableVolumeField
pattern ExportableVolumeField_CurrentConfigurationVolumeBaselineIOPS :: ExportableVolumeField
pattern ExportableVolumeField_CurrentConfigurationVolumeBaselineThroughput :: ExportableVolumeField
pattern ExportableVolumeField_CurrentConfigurationVolumeBurstIOPS :: ExportableVolumeField
pattern ExportableVolumeField_CurrentConfigurationVolumeBurstThroughput :: ExportableVolumeField
pattern ExportableVolumeField_CurrentConfigurationVolumeSize :: ExportableVolumeField
pattern ExportableVolumeField_CurrentConfigurationVolumeType :: ExportableVolumeField
pattern ExportableVolumeField_CurrentMonthlyPrice :: ExportableVolumeField
pattern ExportableVolumeField_CurrentPerformanceRisk :: ExportableVolumeField
pattern ExportableVolumeField_Finding :: ExportableVolumeField
pattern ExportableVolumeField_LastRefreshTimestamp :: ExportableVolumeField
pattern ExportableVolumeField_LookbackPeriodInDays :: ExportableVolumeField
pattern ExportableVolumeField_RecommendationOptionsConfigurationVolumeBaselineIOPS :: ExportableVolumeField
pattern ExportableVolumeField_RecommendationOptionsConfigurationVolumeBaselineThroughput :: ExportableVolumeField
pattern ExportableVolumeField_RecommendationOptionsConfigurationVolumeBurstIOPS :: ExportableVolumeField
pattern ExportableVolumeField_RecommendationOptionsConfigurationVolumeBurstThroughput :: ExportableVolumeField
pattern ExportableVolumeField_RecommendationOptionsConfigurationVolumeSize :: ExportableVolumeField
pattern ExportableVolumeField_RecommendationOptionsConfigurationVolumeType :: ExportableVolumeField
pattern ExportableVolumeField_RecommendationOptionsEstimatedMonthlySavingsCurrency :: ExportableVolumeField
pattern ExportableVolumeField_RecommendationOptionsEstimatedMonthlySavingsValue :: ExportableVolumeField
pattern ExportableVolumeField_RecommendationOptionsMonthlyPrice :: ExportableVolumeField
pattern ExportableVolumeField_RecommendationOptionsPerformanceRisk :: ExportableVolumeField
pattern ExportableVolumeField_RecommendationOptionsSavingsOpportunityPercentage :: ExportableVolumeField
pattern ExportableVolumeField_UtilizationMetricsVolumeReadBytesPerSecondMaximum :: ExportableVolumeField
pattern ExportableVolumeField_UtilizationMetricsVolumeReadOpsPerSecondMaximum :: ExportableVolumeField
pattern ExportableVolumeField_UtilizationMetricsVolumeWriteBytesPerSecondMaximum :: ExportableVolumeField
pattern ExportableVolumeField_UtilizationMetricsVolumeWriteOpsPerSecondMaximum :: ExportableVolumeField
pattern ExportableVolumeField_VolumeArn :: ExportableVolumeField

Instances

Instances details

FromJSON ExportableVolumeField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableVolumeField Methods parseJSON :: Value -> Parser ExportableVolumeField # parseJSONList :: Value -> Parser [ExportableVolumeField] #
FromJSONKey ExportableVolumeField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableVolumeField Methods fromJSONKey :: FromJSONKeyFunction ExportableVolumeField # fromJSONKeyList :: FromJSONKeyFunction [ExportableVolumeField] #
ToJSON ExportableVolumeField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableVolumeField Methods toJSON :: ExportableVolumeField -> Value # toEncoding :: ExportableVolumeField -> Encoding # toJSONList :: [ExportableVolumeField] -> Value # toEncodingList :: [ExportableVolumeField] -> Encoding #
ToJSONKey ExportableVolumeField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableVolumeField Methods toJSONKey :: ToJSONKeyFunction ExportableVolumeField # toJSONKeyList :: ToJSONKeyFunction [ExportableVolumeField] #
ToByteString ExportableVolumeField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableVolumeField Methods toBS :: ExportableVolumeField -> ByteString #
ToHeader ExportableVolumeField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableVolumeField Methods toHeader :: HeaderName -> ExportableVolumeField -> [Header] #
ToLog ExportableVolumeField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableVolumeField Methods build :: ExportableVolumeField -> ByteStringBuilder #
ToQuery ExportableVolumeField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableVolumeField Methods toQuery :: ExportableVolumeField -> QueryString #
FromText ExportableVolumeField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableVolumeField Methods fromText :: Text -> Either String ExportableVolumeField #
ToText ExportableVolumeField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableVolumeField Methods toText :: ExportableVolumeField -> Text #
FromXML ExportableVolumeField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableVolumeField Methods parseXML :: [Node] -> Either String ExportableVolumeField #
ToXML ExportableVolumeField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableVolumeField Methods toXML :: ExportableVolumeField -> XML #
Generic ExportableVolumeField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableVolumeField Associated Types type Rep ExportableVolumeField :: Type -> Type # Methods from :: ExportableVolumeField -> Rep ExportableVolumeField x # to :: Rep ExportableVolumeField x -> ExportableVolumeField #
Read ExportableVolumeField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableVolumeField Methods readsPrec :: Int -> ReadS ExportableVolumeField # readList :: ReadS [ExportableVolumeField] # readPrec :: ReadPrec ExportableVolumeField # readListPrec :: ReadPrec [ExportableVolumeField] #
Show ExportableVolumeField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableVolumeField Methods showsPrec :: Int -> ExportableVolumeField -> ShowS # show :: ExportableVolumeField -> String # showList :: [ExportableVolumeField] -> ShowS #
NFData ExportableVolumeField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableVolumeField Methods rnf :: ExportableVolumeField -> () #
Eq ExportableVolumeField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableVolumeField Methods (==) :: ExportableVolumeField -> ExportableVolumeField -> Bool # (/=) :: ExportableVolumeField -> ExportableVolumeField -> Bool #
Ord ExportableVolumeField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableVolumeField Methods compare :: ExportableVolumeField -> ExportableVolumeField -> Ordering # (<) :: ExportableVolumeField -> ExportableVolumeField -> Bool # (<=) :: ExportableVolumeField -> ExportableVolumeField -> Bool # (>) :: ExportableVolumeField -> ExportableVolumeField -> Bool # (>=) :: ExportableVolumeField -> ExportableVolumeField -> Bool # max :: ExportableVolumeField -> ExportableVolumeField -> ExportableVolumeField # min :: ExportableVolumeField -> ExportableVolumeField -> ExportableVolumeField #
Hashable ExportableVolumeField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableVolumeField Methods hashWithSalt :: Int -> ExportableVolumeField -> Int # hash :: ExportableVolumeField -> Int #
type Rep ExportableVolumeField Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportableVolumeField type Rep ExportableVolumeField = D1 ('MetaData "ExportableVolumeField" "Amazonka.ComputeOptimizer.Types.ExportableVolumeField" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "ExportableVolumeField'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromExportableVolumeField") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ExternalMetricsSource

newtype ExternalMetricsSource Source #

Constructors

ExternalMetricsSource'
Fields fromExternalMetricsSource :: Text

Bundled Patterns

pattern ExternalMetricsSource_Datadog :: ExternalMetricsSource
pattern ExternalMetricsSource_Dynatrace :: ExternalMetricsSource
pattern ExternalMetricsSource_Instana :: ExternalMetricsSource
pattern ExternalMetricsSource_NewRelic :: ExternalMetricsSource

Instances

Instances details

FromJSON ExternalMetricsSource Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExternalMetricsSource Methods parseJSON :: Value -> Parser ExternalMetricsSource # parseJSONList :: Value -> Parser [ExternalMetricsSource] #
FromJSONKey ExternalMetricsSource Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExternalMetricsSource Methods fromJSONKey :: FromJSONKeyFunction ExternalMetricsSource # fromJSONKeyList :: FromJSONKeyFunction [ExternalMetricsSource] #
ToJSON ExternalMetricsSource Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExternalMetricsSource Methods toJSON :: ExternalMetricsSource -> Value # toEncoding :: ExternalMetricsSource -> Encoding # toJSONList :: [ExternalMetricsSource] -> Value # toEncodingList :: [ExternalMetricsSource] -> Encoding #
ToJSONKey ExternalMetricsSource Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExternalMetricsSource Methods toJSONKey :: ToJSONKeyFunction ExternalMetricsSource # toJSONKeyList :: ToJSONKeyFunction [ExternalMetricsSource] #
ToByteString ExternalMetricsSource Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExternalMetricsSource Methods toBS :: ExternalMetricsSource -> ByteString #
ToHeader ExternalMetricsSource Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExternalMetricsSource Methods toHeader :: HeaderName -> ExternalMetricsSource -> [Header] #
ToLog ExternalMetricsSource Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExternalMetricsSource Methods build :: ExternalMetricsSource -> ByteStringBuilder #
ToQuery ExternalMetricsSource Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExternalMetricsSource Methods toQuery :: ExternalMetricsSource -> QueryString #
FromText ExternalMetricsSource Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExternalMetricsSource Methods fromText :: Text -> Either String ExternalMetricsSource #
ToText ExternalMetricsSource Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExternalMetricsSource Methods toText :: ExternalMetricsSource -> Text #
FromXML ExternalMetricsSource Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExternalMetricsSource Methods parseXML :: [Node] -> Either String ExternalMetricsSource #
ToXML ExternalMetricsSource Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExternalMetricsSource Methods toXML :: ExternalMetricsSource -> XML #
Generic ExternalMetricsSource Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExternalMetricsSource Associated Types type Rep ExternalMetricsSource :: Type -> Type # Methods from :: ExternalMetricsSource -> Rep ExternalMetricsSource x # to :: Rep ExternalMetricsSource x -> ExternalMetricsSource #
Read ExternalMetricsSource Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExternalMetricsSource Methods readsPrec :: Int -> ReadS ExternalMetricsSource # readList :: ReadS [ExternalMetricsSource] # readPrec :: ReadPrec ExternalMetricsSource # readListPrec :: ReadPrec [ExternalMetricsSource] #
Show ExternalMetricsSource Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExternalMetricsSource Methods showsPrec :: Int -> ExternalMetricsSource -> ShowS # show :: ExternalMetricsSource -> String # showList :: [ExternalMetricsSource] -> ShowS #
NFData ExternalMetricsSource Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExternalMetricsSource Methods rnf :: ExternalMetricsSource -> () #
Eq ExternalMetricsSource Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExternalMetricsSource Methods (==) :: ExternalMetricsSource -> ExternalMetricsSource -> Bool # (/=) :: ExternalMetricsSource -> ExternalMetricsSource -> Bool #
Ord ExternalMetricsSource Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExternalMetricsSource Methods compare :: ExternalMetricsSource -> ExternalMetricsSource -> Ordering # (<) :: ExternalMetricsSource -> ExternalMetricsSource -> Bool # (<=) :: ExternalMetricsSource -> ExternalMetricsSource -> Bool # (>) :: ExternalMetricsSource -> ExternalMetricsSource -> Bool # (>=) :: ExternalMetricsSource -> ExternalMetricsSource -> Bool # max :: ExternalMetricsSource -> ExternalMetricsSource -> ExternalMetricsSource # min :: ExternalMetricsSource -> ExternalMetricsSource -> ExternalMetricsSource #
Hashable ExternalMetricsSource Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExternalMetricsSource Methods hashWithSalt :: Int -> ExternalMetricsSource -> Int # hash :: ExternalMetricsSource -> Int #
type Rep ExternalMetricsSource Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExternalMetricsSource type Rep ExternalMetricsSource = D1 ('MetaData "ExternalMetricsSource" "Amazonka.ComputeOptimizer.Types.ExternalMetricsSource" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "ExternalMetricsSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromExternalMetricsSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

FileFormat

newtype FileFormat Source #

Constructors

FileFormat'
Fields fromFileFormat :: Text

Bundled Patterns

pattern FileFormat_Csv :: FileFormat

Instances

Instances details

FromJSON FileFormat Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FileFormat Methods parseJSON :: Value -> Parser FileFormat # parseJSONList :: Value -> Parser [FileFormat] #
FromJSONKey FileFormat Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FileFormat Methods fromJSONKey :: FromJSONKeyFunction FileFormat # fromJSONKeyList :: FromJSONKeyFunction [FileFormat] #
ToJSON FileFormat Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FileFormat Methods toJSON :: FileFormat -> Value # toEncoding :: FileFormat -> Encoding # toJSONList :: [FileFormat] -> Value # toEncodingList :: [FileFormat] -> Encoding #
ToJSONKey FileFormat Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FileFormat Methods toJSONKey :: ToJSONKeyFunction FileFormat # toJSONKeyList :: ToJSONKeyFunction [FileFormat] #
ToByteString FileFormat Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FileFormat Methods toBS :: FileFormat -> ByteString #
ToHeader FileFormat Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FileFormat Methods toHeader :: HeaderName -> FileFormat -> [Header] #
ToLog FileFormat Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FileFormat Methods build :: FileFormat -> ByteStringBuilder #
ToQuery FileFormat Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FileFormat Methods toQuery :: FileFormat -> QueryString #
FromText FileFormat Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FileFormat Methods fromText :: Text -> Either String FileFormat #
ToText FileFormat Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FileFormat Methods toText :: FileFormat -> Text #
FromXML FileFormat Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FileFormat Methods parseXML :: [Node] -> Either String FileFormat #
ToXML FileFormat Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FileFormat Methods toXML :: FileFormat -> XML #
Generic FileFormat Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FileFormat Associated Types type Rep FileFormat :: Type -> Type # Methods from :: FileFormat -> Rep FileFormat x # to :: Rep FileFormat x -> FileFormat #
Read FileFormat Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FileFormat Methods readsPrec :: Int -> ReadS FileFormat # readList :: ReadS [FileFormat] # readPrec :: ReadPrec FileFormat # readListPrec :: ReadPrec [FileFormat] #
Show FileFormat Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FileFormat Methods showsPrec :: Int -> FileFormat -> ShowS # show :: FileFormat -> String # showList :: [FileFormat] -> ShowS #
NFData FileFormat Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FileFormat Methods rnf :: FileFormat -> () #
Eq FileFormat Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FileFormat Methods (==) :: FileFormat -> FileFormat -> Bool # (/=) :: FileFormat -> FileFormat -> Bool #
Ord FileFormat Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FileFormat Methods compare :: FileFormat -> FileFormat -> Ordering # (<) :: FileFormat -> FileFormat -> Bool # (<=) :: FileFormat -> FileFormat -> Bool # (>) :: FileFormat -> FileFormat -> Bool # (>=) :: FileFormat -> FileFormat -> Bool # max :: FileFormat -> FileFormat -> FileFormat # min :: FileFormat -> FileFormat -> FileFormat #
Hashable FileFormat Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FileFormat Methods hashWithSalt :: Int -> FileFormat -> Int # hash :: FileFormat -> Int #
type Rep FileFormat Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FileFormat type Rep FileFormat = D1 ('MetaData "FileFormat" "Amazonka.ComputeOptimizer.Types.FileFormat" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "FileFormat'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromFileFormat") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

FilterName

newtype FilterName Source #

Constructors

FilterName'
Fields fromFilterName :: Text

Bundled Patterns

pattern FilterName_Finding :: FilterName
pattern FilterName_FindingReasonCodes :: FilterName
pattern FilterName_RecommendationSourceType :: FilterName

Instances

Instances details

FromJSON FilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FilterName Methods parseJSON :: Value -> Parser FilterName # parseJSONList :: Value -> Parser [FilterName] #
FromJSONKey FilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FilterName Methods fromJSONKey :: FromJSONKeyFunction FilterName # fromJSONKeyList :: FromJSONKeyFunction [FilterName] #
ToJSON FilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FilterName Methods toJSON :: FilterName -> Value # toEncoding :: FilterName -> Encoding # toJSONList :: [FilterName] -> Value # toEncodingList :: [FilterName] -> Encoding #
ToJSONKey FilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FilterName Methods toJSONKey :: ToJSONKeyFunction FilterName # toJSONKeyList :: ToJSONKeyFunction [FilterName] #
ToByteString FilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FilterName Methods toBS :: FilterName -> ByteString #
ToHeader FilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FilterName Methods toHeader :: HeaderName -> FilterName -> [Header] #
ToLog FilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FilterName Methods build :: FilterName -> ByteStringBuilder #
ToQuery FilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FilterName Methods toQuery :: FilterName -> QueryString #
FromText FilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FilterName Methods fromText :: Text -> Either String FilterName #
ToText FilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FilterName Methods toText :: FilterName -> Text #
FromXML FilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FilterName Methods parseXML :: [Node] -> Either String FilterName #
ToXML FilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FilterName Methods toXML :: FilterName -> XML #
Generic FilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FilterName Associated Types type Rep FilterName :: Type -> Type # Methods from :: FilterName -> Rep FilterName x # to :: Rep FilterName x -> FilterName #
Read FilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FilterName Methods readsPrec :: Int -> ReadS FilterName # readList :: ReadS [FilterName] # readPrec :: ReadPrec FilterName # readListPrec :: ReadPrec [FilterName] #
Show FilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FilterName Methods showsPrec :: Int -> FilterName -> ShowS # show :: FilterName -> String # showList :: [FilterName] -> ShowS #
NFData FilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FilterName Methods rnf :: FilterName -> () #
Eq FilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FilterName Methods (==) :: FilterName -> FilterName -> Bool # (/=) :: FilterName -> FilterName -> Bool #
Ord FilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FilterName Methods compare :: FilterName -> FilterName -> Ordering # (<) :: FilterName -> FilterName -> Bool # (<=) :: FilterName -> FilterName -> Bool # (>) :: FilterName -> FilterName -> Bool # (>=) :: FilterName -> FilterName -> Bool # max :: FilterName -> FilterName -> FilterName # min :: FilterName -> FilterName -> FilterName #
Hashable FilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FilterName Methods hashWithSalt :: Int -> FilterName -> Int # hash :: FilterName -> Int #
type Rep FilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FilterName type Rep FilterName = D1 ('MetaData "FilterName" "Amazonka.ComputeOptimizer.Types.FilterName" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "FilterName'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromFilterName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

Finding

newtype Finding Source #

Constructors

Finding'
Fields fromFinding :: Text

Bundled Patterns

pattern Finding_NotOptimized :: Finding
pattern Finding_Optimized :: Finding
pattern Finding_Overprovisioned :: Finding
pattern Finding_Underprovisioned :: Finding

Instances

Instances details

FromJSON Finding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Finding Methods parseJSON :: Value -> Parser Finding # parseJSONList :: Value -> Parser [Finding] #
FromJSONKey Finding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Finding Methods fromJSONKey :: FromJSONKeyFunction Finding # fromJSONKeyList :: FromJSONKeyFunction [Finding] #
ToJSON Finding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Finding Methods toJSON :: Finding -> Value # toEncoding :: Finding -> Encoding # toJSONList :: [Finding] -> Value # toEncodingList :: [Finding] -> Encoding #
ToJSONKey Finding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Finding Methods toJSONKey :: ToJSONKeyFunction Finding # toJSONKeyList :: ToJSONKeyFunction [Finding] #
ToByteString Finding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Finding Methods toBS :: Finding -> ByteString #
ToHeader Finding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Finding Methods toHeader :: HeaderName -> Finding -> [Header] #
ToLog Finding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Finding Methods build :: Finding -> ByteStringBuilder #
ToQuery Finding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Finding Methods toQuery :: Finding -> QueryString #
FromText Finding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Finding Methods fromText :: Text -> Either String Finding #
ToText Finding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Finding Methods toText :: Finding -> Text #
FromXML Finding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Finding Methods parseXML :: [Node] -> Either String Finding #
ToXML Finding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Finding Methods toXML :: Finding -> XML #
Generic Finding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Finding Associated Types type Rep Finding :: Type -> Type # Methods from :: Finding -> Rep Finding x # to :: Rep Finding x -> Finding #
Read Finding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Finding Methods readsPrec :: Int -> ReadS Finding # readList :: ReadS [Finding] # readPrec :: ReadPrec Finding # readListPrec :: ReadPrec [Finding] #
Show Finding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Finding Methods showsPrec :: Int -> Finding -> ShowS # show :: Finding -> String # showList :: [Finding] -> ShowS #
NFData Finding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Finding Methods rnf :: Finding -> () #
Eq Finding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Finding Methods (==) :: Finding -> Finding -> Bool # (/=) :: Finding -> Finding -> Bool #
Ord Finding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Finding Methods compare :: Finding -> Finding -> Ordering # (<) :: Finding -> Finding -> Bool # (<=) :: Finding -> Finding -> Bool # (>) :: Finding -> Finding -> Bool # (>=) :: Finding -> Finding -> Bool # max :: Finding -> Finding -> Finding # min :: Finding -> Finding -> Finding #
Hashable Finding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Finding Methods hashWithSalt :: Int -> Finding -> Int # hash :: Finding -> Int #
type Rep Finding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Finding type Rep Finding = D1 ('MetaData "Finding" "Amazonka.ComputeOptimizer.Types.Finding" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "Finding'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromFinding") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

FindingReasonCode

newtype FindingReasonCode Source #

Constructors

FindingReasonCode'
Fields fromFindingReasonCode :: Text

Bundled Patterns

pattern FindingReasonCode_MemoryOverprovisioned :: FindingReasonCode
pattern FindingReasonCode_MemoryUnderprovisioned :: FindingReasonCode

Instances

Instances details

FromJSON FindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FindingReasonCode Methods parseJSON :: Value -> Parser FindingReasonCode # parseJSONList :: Value -> Parser [FindingReasonCode] #
FromJSONKey FindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FindingReasonCode Methods fromJSONKey :: FromJSONKeyFunction FindingReasonCode # fromJSONKeyList :: FromJSONKeyFunction [FindingReasonCode] #
ToJSON FindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FindingReasonCode Methods toJSON :: FindingReasonCode -> Value # toEncoding :: FindingReasonCode -> Encoding # toJSONList :: [FindingReasonCode] -> Value # toEncodingList :: [FindingReasonCode] -> Encoding #
ToJSONKey FindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FindingReasonCode Methods toJSONKey :: ToJSONKeyFunction FindingReasonCode # toJSONKeyList :: ToJSONKeyFunction [FindingReasonCode] #
ToByteString FindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FindingReasonCode Methods toBS :: FindingReasonCode -> ByteString #
ToHeader FindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FindingReasonCode Methods toHeader :: HeaderName -> FindingReasonCode -> [Header] #
ToLog FindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FindingReasonCode Methods build :: FindingReasonCode -> ByteStringBuilder #
ToQuery FindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FindingReasonCode Methods toQuery :: FindingReasonCode -> QueryString #
FromText FindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FindingReasonCode Methods fromText :: Text -> Either String FindingReasonCode #
ToText FindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FindingReasonCode Methods toText :: FindingReasonCode -> Text #
FromXML FindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FindingReasonCode Methods parseXML :: [Node] -> Either String FindingReasonCode #
ToXML FindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FindingReasonCode Methods toXML :: FindingReasonCode -> XML #
Generic FindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FindingReasonCode Associated Types type Rep FindingReasonCode :: Type -> Type # Methods from :: FindingReasonCode -> Rep FindingReasonCode x # to :: Rep FindingReasonCode x -> FindingReasonCode #
Read FindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FindingReasonCode Methods readsPrec :: Int -> ReadS FindingReasonCode # readList :: ReadS [FindingReasonCode] # readPrec :: ReadPrec FindingReasonCode # readListPrec :: ReadPrec [FindingReasonCode] #
Show FindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FindingReasonCode Methods showsPrec :: Int -> FindingReasonCode -> ShowS # show :: FindingReasonCode -> String # showList :: [FindingReasonCode] -> ShowS #
NFData FindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FindingReasonCode Methods rnf :: FindingReasonCode -> () #
Eq FindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FindingReasonCode Methods (==) :: FindingReasonCode -> FindingReasonCode -> Bool # (/=) :: FindingReasonCode -> FindingReasonCode -> Bool #
Ord FindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FindingReasonCode Methods compare :: FindingReasonCode -> FindingReasonCode -> Ordering # (<) :: FindingReasonCode -> FindingReasonCode -> Bool # (<=) :: FindingReasonCode -> FindingReasonCode -> Bool # (>) :: FindingReasonCode -> FindingReasonCode -> Bool # (>=) :: FindingReasonCode -> FindingReasonCode -> Bool # max :: FindingReasonCode -> FindingReasonCode -> FindingReasonCode # min :: FindingReasonCode -> FindingReasonCode -> FindingReasonCode #
Hashable FindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FindingReasonCode Methods hashWithSalt :: Int -> FindingReasonCode -> Int # hash :: FindingReasonCode -> Int #
type Rep FindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.FindingReasonCode type Rep FindingReasonCode = D1 ('MetaData "FindingReasonCode" "Amazonka.ComputeOptimizer.Types.FindingReasonCode" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "FindingReasonCode'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromFindingReasonCode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

InferredWorkloadType

newtype InferredWorkloadType Source #

Constructors

InferredWorkloadType'
Fields fromInferredWorkloadType :: Text

Bundled Patterns

pattern InferredWorkloadType_AmazonEmr :: InferredWorkloadType
pattern InferredWorkloadType_ApacheCassandra :: InferredWorkloadType
pattern InferredWorkloadType_ApacheHadoop :: InferredWorkloadType
pattern InferredWorkloadType_Memcached :: InferredWorkloadType
pattern InferredWorkloadType_Nginx :: InferredWorkloadType
pattern InferredWorkloadType_PostgreSql :: InferredWorkloadType
pattern InferredWorkloadType_Redis :: InferredWorkloadType

Instances

Instances details

FromJSON InferredWorkloadType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadType Methods parseJSON :: Value -> Parser InferredWorkloadType # parseJSONList :: Value -> Parser [InferredWorkloadType] #
FromJSONKey InferredWorkloadType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadType Methods fromJSONKey :: FromJSONKeyFunction InferredWorkloadType # fromJSONKeyList :: FromJSONKeyFunction [InferredWorkloadType] #
ToJSON InferredWorkloadType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadType Methods toJSON :: InferredWorkloadType -> Value # toEncoding :: InferredWorkloadType -> Encoding # toJSONList :: [InferredWorkloadType] -> Value # toEncodingList :: [InferredWorkloadType] -> Encoding #
ToJSONKey InferredWorkloadType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadType Methods toJSONKey :: ToJSONKeyFunction InferredWorkloadType # toJSONKeyList :: ToJSONKeyFunction [InferredWorkloadType] #
ToByteString InferredWorkloadType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadType Methods toBS :: InferredWorkloadType -> ByteString #
ToHeader InferredWorkloadType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadType Methods toHeader :: HeaderName -> InferredWorkloadType -> [Header] #
ToLog InferredWorkloadType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadType Methods build :: InferredWorkloadType -> ByteStringBuilder #
ToQuery InferredWorkloadType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadType Methods toQuery :: InferredWorkloadType -> QueryString #
FromText InferredWorkloadType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadType Methods fromText :: Text -> Either String InferredWorkloadType #
ToText InferredWorkloadType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadType Methods toText :: InferredWorkloadType -> Text #
FromXML InferredWorkloadType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadType Methods parseXML :: [Node] -> Either String InferredWorkloadType #
ToXML InferredWorkloadType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadType Methods toXML :: InferredWorkloadType -> XML #
Generic InferredWorkloadType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadType Associated Types type Rep InferredWorkloadType :: Type -> Type # Methods from :: InferredWorkloadType -> Rep InferredWorkloadType x # to :: Rep InferredWorkloadType x -> InferredWorkloadType #
Read InferredWorkloadType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadType Methods readsPrec :: Int -> ReadS InferredWorkloadType # readList :: ReadS [InferredWorkloadType] # readPrec :: ReadPrec InferredWorkloadType # readListPrec :: ReadPrec [InferredWorkloadType] #
Show InferredWorkloadType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadType Methods showsPrec :: Int -> InferredWorkloadType -> ShowS # show :: InferredWorkloadType -> String # showList :: [InferredWorkloadType] -> ShowS #
NFData InferredWorkloadType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadType Methods rnf :: InferredWorkloadType -> () #
Eq InferredWorkloadType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadType Methods (==) :: InferredWorkloadType -> InferredWorkloadType -> Bool # (/=) :: InferredWorkloadType -> InferredWorkloadType -> Bool #
Ord InferredWorkloadType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadType Methods compare :: InferredWorkloadType -> InferredWorkloadType -> Ordering # (<) :: InferredWorkloadType -> InferredWorkloadType -> Bool # (<=) :: InferredWorkloadType -> InferredWorkloadType -> Bool # (>) :: InferredWorkloadType -> InferredWorkloadType -> Bool # (>=) :: InferredWorkloadType -> InferredWorkloadType -> Bool # max :: InferredWorkloadType -> InferredWorkloadType -> InferredWorkloadType # min :: InferredWorkloadType -> InferredWorkloadType -> InferredWorkloadType #
Hashable InferredWorkloadType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadType Methods hashWithSalt :: Int -> InferredWorkloadType -> Int # hash :: InferredWorkloadType -> Int #
type Rep InferredWorkloadType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadType type Rep InferredWorkloadType = D1 ('MetaData "InferredWorkloadType" "Amazonka.ComputeOptimizer.Types.InferredWorkloadType" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "InferredWorkloadType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromInferredWorkloadType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

InferredWorkloadTypesPreference

newtype InferredWorkloadTypesPreference Source #

Constructors

InferredWorkloadTypesPreference'
Fields fromInferredWorkloadTypesPreference :: Text

Bundled Patterns

pattern InferredWorkloadTypesPreference_Active :: InferredWorkloadTypesPreference
pattern InferredWorkloadTypesPreference_Inactive :: InferredWorkloadTypesPreference

Instances

Instances details

FromJSON InferredWorkloadTypesPreference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadTypesPreference Methods parseJSON :: Value -> Parser InferredWorkloadTypesPreference # parseJSONList :: Value -> Parser [InferredWorkloadTypesPreference] #
FromJSONKey InferredWorkloadTypesPreference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadTypesPreference Methods fromJSONKey :: FromJSONKeyFunction InferredWorkloadTypesPreference # fromJSONKeyList :: FromJSONKeyFunction [InferredWorkloadTypesPreference] #
ToJSON InferredWorkloadTypesPreference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadTypesPreference Methods toJSON :: InferredWorkloadTypesPreference -> Value # toEncoding :: InferredWorkloadTypesPreference -> Encoding # toJSONList :: [InferredWorkloadTypesPreference] -> Value # toEncodingList :: [InferredWorkloadTypesPreference] -> Encoding #
ToJSONKey InferredWorkloadTypesPreference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadTypesPreference Methods toJSONKey :: ToJSONKeyFunction InferredWorkloadTypesPreference # toJSONKeyList :: ToJSONKeyFunction [InferredWorkloadTypesPreference] #
ToByteString InferredWorkloadTypesPreference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadTypesPreference Methods toBS :: InferredWorkloadTypesPreference -> ByteString #
ToHeader InferredWorkloadTypesPreference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadTypesPreference Methods toHeader :: HeaderName -> InferredWorkloadTypesPreference -> [Header] #
ToLog InferredWorkloadTypesPreference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadTypesPreference Methods build :: InferredWorkloadTypesPreference -> ByteStringBuilder #
ToQuery InferredWorkloadTypesPreference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadTypesPreference Methods toQuery :: InferredWorkloadTypesPreference -> QueryString #
FromText InferredWorkloadTypesPreference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadTypesPreference Methods fromText :: Text -> Either String InferredWorkloadTypesPreference #
ToText InferredWorkloadTypesPreference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadTypesPreference Methods toText :: InferredWorkloadTypesPreference -> Text #
FromXML InferredWorkloadTypesPreference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadTypesPreference Methods parseXML :: [Node] -> Either String InferredWorkloadTypesPreference #
ToXML InferredWorkloadTypesPreference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadTypesPreference Methods toXML :: InferredWorkloadTypesPreference -> XML #
Generic InferredWorkloadTypesPreference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadTypesPreference Associated Types type Rep InferredWorkloadTypesPreference :: Type -> Type # Methods from :: InferredWorkloadTypesPreference -> Rep InferredWorkloadTypesPreference x # to :: Rep InferredWorkloadTypesPreference x -> InferredWorkloadTypesPreference #
Read InferredWorkloadTypesPreference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadTypesPreference Methods readsPrec :: Int -> ReadS InferredWorkloadTypesPreference # readList :: ReadS [InferredWorkloadTypesPreference] # readPrec :: ReadPrec InferredWorkloadTypesPreference # readListPrec :: ReadPrec [InferredWorkloadTypesPreference] #
Show InferredWorkloadTypesPreference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadTypesPreference Methods showsPrec :: Int -> InferredWorkloadTypesPreference -> ShowS # show :: InferredWorkloadTypesPreference -> String # showList :: [InferredWorkloadTypesPreference] -> ShowS #
NFData InferredWorkloadTypesPreference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadTypesPreference Methods rnf :: InferredWorkloadTypesPreference -> () #
Eq InferredWorkloadTypesPreference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadTypesPreference Methods (==) :: InferredWorkloadTypesPreference -> InferredWorkloadTypesPreference -> Bool # (/=) :: InferredWorkloadTypesPreference -> InferredWorkloadTypesPreference -> Bool #
Ord InferredWorkloadTypesPreference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadTypesPreference Methods compare :: InferredWorkloadTypesPreference -> InferredWorkloadTypesPreference -> Ordering # (<) :: InferredWorkloadTypesPreference -> InferredWorkloadTypesPreference -> Bool # (<=) :: InferredWorkloadTypesPreference -> InferredWorkloadTypesPreference -> Bool # (>) :: InferredWorkloadTypesPreference -> InferredWorkloadTypesPreference -> Bool # (>=) :: InferredWorkloadTypesPreference -> InferredWorkloadTypesPreference -> Bool # max :: InferredWorkloadTypesPreference -> InferredWorkloadTypesPreference -> InferredWorkloadTypesPreference # min :: InferredWorkloadTypesPreference -> InferredWorkloadTypesPreference -> InferredWorkloadTypesPreference #
Hashable InferredWorkloadTypesPreference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadTypesPreference Methods hashWithSalt :: Int -> InferredWorkloadTypesPreference -> Int # hash :: InferredWorkloadTypesPreference -> Int #
type Rep InferredWorkloadTypesPreference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InferredWorkloadTypesPreference type Rep InferredWorkloadTypesPreference = D1 ('MetaData "InferredWorkloadTypesPreference" "Amazonka.ComputeOptimizer.Types.InferredWorkloadTypesPreference" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "InferredWorkloadTypesPreference'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromInferredWorkloadTypesPreference") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

InstanceRecommendationFindingReasonCode

newtype InstanceRecommendationFindingReasonCode Source #

Constructors

InstanceRecommendationFindingReasonCode'
Fields fromInstanceRecommendationFindingReasonCode :: Text

Bundled Patterns

pattern InstanceRecommendationFindingReasonCode_CPUOverprovisioned :: InstanceRecommendationFindingReasonCode
pattern InstanceRecommendationFindingReasonCode_CPUUnderprovisioned :: InstanceRecommendationFindingReasonCode
pattern InstanceRecommendationFindingReasonCode_DiskIOPSOverprovisioned :: InstanceRecommendationFindingReasonCode
pattern InstanceRecommendationFindingReasonCode_DiskIOPSUnderprovisioned :: InstanceRecommendationFindingReasonCode
pattern InstanceRecommendationFindingReasonCode_DiskThroughputOverprovisioned :: InstanceRecommendationFindingReasonCode
pattern InstanceRecommendationFindingReasonCode_DiskThroughputUnderprovisioned :: InstanceRecommendationFindingReasonCode
pattern InstanceRecommendationFindingReasonCode_EBSIOPSOverprovisioned :: InstanceRecommendationFindingReasonCode
pattern InstanceRecommendationFindingReasonCode_EBSIOPSUnderprovisioned :: InstanceRecommendationFindingReasonCode
pattern InstanceRecommendationFindingReasonCode_EBSThroughputOverprovisioned :: InstanceRecommendationFindingReasonCode
pattern InstanceRecommendationFindingReasonCode_EBSThroughputUnderprovisioned :: InstanceRecommendationFindingReasonCode
pattern InstanceRecommendationFindingReasonCode_MemoryOverprovisioned :: InstanceRecommendationFindingReasonCode
pattern InstanceRecommendationFindingReasonCode_MemoryUnderprovisioned :: InstanceRecommendationFindingReasonCode
pattern InstanceRecommendationFindingReasonCode_NetworkBandwidthOverprovisioned :: InstanceRecommendationFindingReasonCode
pattern InstanceRecommendationFindingReasonCode_NetworkBandwidthUnderprovisioned :: InstanceRecommendationFindingReasonCode
pattern InstanceRecommendationFindingReasonCode_NetworkPPSOverprovisioned :: InstanceRecommendationFindingReasonCode
pattern InstanceRecommendationFindingReasonCode_NetworkPPSUnderprovisioned :: InstanceRecommendationFindingReasonCode

Instances

Instances details

FromJSON InstanceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InstanceRecommendationFindingReasonCode Methods parseJSON :: Value -> Parser InstanceRecommendationFindingReasonCode # parseJSONList :: Value -> Parser [InstanceRecommendationFindingReasonCode] #
FromJSONKey InstanceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InstanceRecommendationFindingReasonCode Methods fromJSONKey :: FromJSONKeyFunction InstanceRecommendationFindingReasonCode # fromJSONKeyList :: FromJSONKeyFunction [InstanceRecommendationFindingReasonCode] #
ToJSON InstanceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InstanceRecommendationFindingReasonCode Methods toJSON :: InstanceRecommendationFindingReasonCode -> Value # toEncoding :: InstanceRecommendationFindingReasonCode -> Encoding # toJSONList :: [InstanceRecommendationFindingReasonCode] -> Value # toEncodingList :: [InstanceRecommendationFindingReasonCode] -> Encoding #
ToJSONKey InstanceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InstanceRecommendationFindingReasonCode Methods toJSONKey :: ToJSONKeyFunction InstanceRecommendationFindingReasonCode # toJSONKeyList :: ToJSONKeyFunction [InstanceRecommendationFindingReasonCode] #
ToByteString InstanceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InstanceRecommendationFindingReasonCode Methods toBS :: InstanceRecommendationFindingReasonCode -> ByteString #
ToHeader InstanceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InstanceRecommendationFindingReasonCode Methods toHeader :: HeaderName -> InstanceRecommendationFindingReasonCode -> [Header] #
ToLog InstanceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InstanceRecommendationFindingReasonCode Methods build :: InstanceRecommendationFindingReasonCode -> ByteStringBuilder #
ToQuery InstanceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InstanceRecommendationFindingReasonCode Methods toQuery :: InstanceRecommendationFindingReasonCode -> QueryString #
FromText InstanceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InstanceRecommendationFindingReasonCode Methods fromText :: Text -> Either String InstanceRecommendationFindingReasonCode #
ToText InstanceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InstanceRecommendationFindingReasonCode Methods toText :: InstanceRecommendationFindingReasonCode -> Text #
FromXML InstanceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InstanceRecommendationFindingReasonCode Methods parseXML :: [Node] -> Either String InstanceRecommendationFindingReasonCode #
ToXML InstanceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InstanceRecommendationFindingReasonCode Methods toXML :: InstanceRecommendationFindingReasonCode -> XML #
Generic InstanceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InstanceRecommendationFindingReasonCode Associated Types type Rep InstanceRecommendationFindingReasonCode :: Type -> Type # Methods from :: InstanceRecommendationFindingReasonCode -> Rep InstanceRecommendationFindingReasonCode x # to :: Rep InstanceRecommendationFindingReasonCode x -> InstanceRecommendationFindingReasonCode #
Read InstanceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InstanceRecommendationFindingReasonCode Methods readsPrec :: Int -> ReadS InstanceRecommendationFindingReasonCode # readList :: ReadS [InstanceRecommendationFindingReasonCode] # readPrec :: ReadPrec InstanceRecommendationFindingReasonCode # readListPrec :: ReadPrec [InstanceRecommendationFindingReasonCode] #
Show InstanceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InstanceRecommendationFindingReasonCode Methods showsPrec :: Int -> InstanceRecommendationFindingReasonCode -> ShowS # show :: InstanceRecommendationFindingReasonCode -> String # showList :: [InstanceRecommendationFindingReasonCode] -> ShowS #
NFData InstanceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InstanceRecommendationFindingReasonCode Methods rnf :: InstanceRecommendationFindingReasonCode -> () #
Eq InstanceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InstanceRecommendationFindingReasonCode Methods (==) :: InstanceRecommendationFindingReasonCode -> InstanceRecommendationFindingReasonCode -> Bool # (/=) :: InstanceRecommendationFindingReasonCode -> InstanceRecommendationFindingReasonCode -> Bool #
Ord InstanceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InstanceRecommendationFindingReasonCode Methods compare :: InstanceRecommendationFindingReasonCode -> InstanceRecommendationFindingReasonCode -> Ordering # (<) :: InstanceRecommendationFindingReasonCode -> InstanceRecommendationFindingReasonCode -> Bool # (<=) :: InstanceRecommendationFindingReasonCode -> InstanceRecommendationFindingReasonCode -> Bool # (>) :: InstanceRecommendationFindingReasonCode -> InstanceRecommendationFindingReasonCode -> Bool # (>=) :: InstanceRecommendationFindingReasonCode -> InstanceRecommendationFindingReasonCode -> Bool # max :: InstanceRecommendationFindingReasonCode -> InstanceRecommendationFindingReasonCode -> InstanceRecommendationFindingReasonCode # min :: InstanceRecommendationFindingReasonCode -> InstanceRecommendationFindingReasonCode -> InstanceRecommendationFindingReasonCode #
Hashable InstanceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InstanceRecommendationFindingReasonCode Methods hashWithSalt :: Int -> InstanceRecommendationFindingReasonCode -> Int # hash :: InstanceRecommendationFindingReasonCode -> Int #
type Rep InstanceRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InstanceRecommendationFindingReasonCode type Rep InstanceRecommendationFindingReasonCode = D1 ('MetaData "InstanceRecommendationFindingReasonCode" "Amazonka.ComputeOptimizer.Types.InstanceRecommendationFindingReasonCode" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "InstanceRecommendationFindingReasonCode'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromInstanceRecommendationFindingReasonCode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

JobFilterName

newtype JobFilterName Source #

Constructors

JobFilterName'
Fields fromJobFilterName :: Text

Bundled Patterns

pattern JobFilterName_JobStatus :: JobFilterName
pattern JobFilterName_ResourceType :: JobFilterName

Instances

Instances details

FromJSON JobFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobFilterName Methods parseJSON :: Value -> Parser JobFilterName # parseJSONList :: Value -> Parser [JobFilterName] #
FromJSONKey JobFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobFilterName Methods fromJSONKey :: FromJSONKeyFunction JobFilterName # fromJSONKeyList :: FromJSONKeyFunction [JobFilterName] #
ToJSON JobFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobFilterName Methods toJSON :: JobFilterName -> Value # toEncoding :: JobFilterName -> Encoding # toJSONList :: [JobFilterName] -> Value # toEncodingList :: [JobFilterName] -> Encoding #
ToJSONKey JobFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobFilterName Methods toJSONKey :: ToJSONKeyFunction JobFilterName # toJSONKeyList :: ToJSONKeyFunction [JobFilterName] #
ToByteString JobFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobFilterName Methods toBS :: JobFilterName -> ByteString #
ToHeader JobFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobFilterName Methods toHeader :: HeaderName -> JobFilterName -> [Header] #
ToLog JobFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobFilterName Methods build :: JobFilterName -> ByteStringBuilder #
ToQuery JobFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobFilterName Methods toQuery :: JobFilterName -> QueryString #
FromText JobFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobFilterName Methods fromText :: Text -> Either String JobFilterName #
ToText JobFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobFilterName Methods toText :: JobFilterName -> Text #
FromXML JobFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobFilterName Methods parseXML :: [Node] -> Either String JobFilterName #
ToXML JobFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobFilterName Methods toXML :: JobFilterName -> XML #
Generic JobFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobFilterName Associated Types type Rep JobFilterName :: Type -> Type # Methods from :: JobFilterName -> Rep JobFilterName x # to :: Rep JobFilterName x -> JobFilterName #
Read JobFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobFilterName Methods readsPrec :: Int -> ReadS JobFilterName # readList :: ReadS [JobFilterName] # readPrec :: ReadPrec JobFilterName # readListPrec :: ReadPrec [JobFilterName] #
Show JobFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobFilterName Methods showsPrec :: Int -> JobFilterName -> ShowS # show :: JobFilterName -> String # showList :: [JobFilterName] -> ShowS #
NFData JobFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobFilterName Methods rnf :: JobFilterName -> () #
Eq JobFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobFilterName Methods (==) :: JobFilterName -> JobFilterName -> Bool # (/=) :: JobFilterName -> JobFilterName -> Bool #
Ord JobFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobFilterName Methods compare :: JobFilterName -> JobFilterName -> Ordering # (<) :: JobFilterName -> JobFilterName -> Bool # (<=) :: JobFilterName -> JobFilterName -> Bool # (>) :: JobFilterName -> JobFilterName -> Bool # (>=) :: JobFilterName -> JobFilterName -> Bool # max :: JobFilterName -> JobFilterName -> JobFilterName # min :: JobFilterName -> JobFilterName -> JobFilterName #
Hashable JobFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobFilterName Methods hashWithSalt :: Int -> JobFilterName -> Int # hash :: JobFilterName -> Int #
type Rep JobFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobFilterName type Rep JobFilterName = D1 ('MetaData "JobFilterName" "Amazonka.ComputeOptimizer.Types.JobFilterName" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "JobFilterName'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromJobFilterName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

JobStatus

newtype JobStatus Source #

Constructors

JobStatus'
Fields fromJobStatus :: Text

Bundled Patterns

pattern JobStatus_Complete :: JobStatus
pattern JobStatus_Failed :: JobStatus
pattern JobStatus_InProgress :: JobStatus
pattern JobStatus_Queued :: JobStatus

Instances

Instances details

FromJSON JobStatus Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobStatus Methods parseJSON :: Value -> Parser JobStatus # parseJSONList :: Value -> Parser [JobStatus] #
FromJSONKey JobStatus Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobStatus Methods fromJSONKey :: FromJSONKeyFunction JobStatus # fromJSONKeyList :: FromJSONKeyFunction [JobStatus] #
ToJSON JobStatus Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobStatus Methods toJSON :: JobStatus -> Value # toEncoding :: JobStatus -> Encoding # toJSONList :: [JobStatus] -> Value # toEncodingList :: [JobStatus] -> Encoding #
ToJSONKey JobStatus Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobStatus Methods toJSONKey :: ToJSONKeyFunction JobStatus # toJSONKeyList :: ToJSONKeyFunction [JobStatus] #
ToByteString JobStatus Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobStatus Methods toBS :: JobStatus -> ByteString #
ToHeader JobStatus Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobStatus Methods toHeader :: HeaderName -> JobStatus -> [Header] #
ToLog JobStatus Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobStatus Methods build :: JobStatus -> ByteStringBuilder #
ToQuery JobStatus Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobStatus Methods toQuery :: JobStatus -> QueryString #
FromText JobStatus Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobStatus Methods fromText :: Text -> Either String JobStatus #
ToText JobStatus Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobStatus Methods toText :: JobStatus -> Text #
FromXML JobStatus Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobStatus Methods parseXML :: [Node] -> Either String JobStatus #
ToXML JobStatus Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobStatus Methods toXML :: JobStatus -> XML #
Generic JobStatus Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobStatus Associated Types type Rep JobStatus :: Type -> Type # Methods from :: JobStatus -> Rep JobStatus x # to :: Rep JobStatus x -> JobStatus #
Read JobStatus Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobStatus Methods readsPrec :: Int -> ReadS JobStatus # readList :: ReadS [JobStatus] # readPrec :: ReadPrec JobStatus # readListPrec :: ReadPrec [JobStatus] #
Show JobStatus Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobStatus Methods showsPrec :: Int -> JobStatus -> ShowS # show :: JobStatus -> String # showList :: [JobStatus] -> ShowS #
NFData JobStatus Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobStatus Methods rnf :: JobStatus -> () #
Eq JobStatus Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobStatus Methods (==) :: JobStatus -> JobStatus -> Bool # (/=) :: JobStatus -> JobStatus -> Bool #
Ord JobStatus Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobStatus Methods compare :: JobStatus -> JobStatus -> Ordering # (<) :: JobStatus -> JobStatus -> Bool # (<=) :: JobStatus -> JobStatus -> Bool # (>) :: JobStatus -> JobStatus -> Bool # (>=) :: JobStatus -> JobStatus -> Bool # max :: JobStatus -> JobStatus -> JobStatus # min :: JobStatus -> JobStatus -> JobStatus #
Hashable JobStatus Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobStatus Methods hashWithSalt :: Int -> JobStatus -> Int # hash :: JobStatus -> Int #
type Rep JobStatus Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobStatus type Rep JobStatus = D1 ('MetaData "JobStatus" "Amazonka.ComputeOptimizer.Types.JobStatus" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "JobStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

LambdaFunctionMemoryMetricName

newtype LambdaFunctionMemoryMetricName Source #

Constructors

LambdaFunctionMemoryMetricName'
Fields fromLambdaFunctionMemoryMetricName :: Text

Bundled Patterns

pattern LambdaFunctionMemoryMetricName_Duration :: LambdaFunctionMemoryMetricName

Instances

Instances details

FromJSON LambdaFunctionMemoryMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricName Methods parseJSON :: Value -> Parser LambdaFunctionMemoryMetricName # parseJSONList :: Value -> Parser [LambdaFunctionMemoryMetricName] #
FromJSONKey LambdaFunctionMemoryMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricName Methods fromJSONKey :: FromJSONKeyFunction LambdaFunctionMemoryMetricName # fromJSONKeyList :: FromJSONKeyFunction [LambdaFunctionMemoryMetricName] #
ToJSON LambdaFunctionMemoryMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricName Methods toJSON :: LambdaFunctionMemoryMetricName -> Value # toEncoding :: LambdaFunctionMemoryMetricName -> Encoding # toJSONList :: [LambdaFunctionMemoryMetricName] -> Value # toEncodingList :: [LambdaFunctionMemoryMetricName] -> Encoding #
ToJSONKey LambdaFunctionMemoryMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricName Methods toJSONKey :: ToJSONKeyFunction LambdaFunctionMemoryMetricName # toJSONKeyList :: ToJSONKeyFunction [LambdaFunctionMemoryMetricName] #
ToByteString LambdaFunctionMemoryMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricName Methods toBS :: LambdaFunctionMemoryMetricName -> ByteString #
ToHeader LambdaFunctionMemoryMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricName Methods toHeader :: HeaderName -> LambdaFunctionMemoryMetricName -> [Header] #
ToLog LambdaFunctionMemoryMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricName Methods build :: LambdaFunctionMemoryMetricName -> ByteStringBuilder #
ToQuery LambdaFunctionMemoryMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricName Methods toQuery :: LambdaFunctionMemoryMetricName -> QueryString #
FromText LambdaFunctionMemoryMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricName Methods fromText :: Text -> Either String LambdaFunctionMemoryMetricName #
ToText LambdaFunctionMemoryMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricName Methods toText :: LambdaFunctionMemoryMetricName -> Text #
FromXML LambdaFunctionMemoryMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricName Methods parseXML :: [Node] -> Either String LambdaFunctionMemoryMetricName #
ToXML LambdaFunctionMemoryMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricName Methods toXML :: LambdaFunctionMemoryMetricName -> XML #
Generic LambdaFunctionMemoryMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricName Associated Types type Rep LambdaFunctionMemoryMetricName :: Type -> Type # Methods from :: LambdaFunctionMemoryMetricName -> Rep LambdaFunctionMemoryMetricName x # to :: Rep LambdaFunctionMemoryMetricName x -> LambdaFunctionMemoryMetricName #
Read LambdaFunctionMemoryMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricName Methods readsPrec :: Int -> ReadS LambdaFunctionMemoryMetricName # readList :: ReadS [LambdaFunctionMemoryMetricName] # readPrec :: ReadPrec LambdaFunctionMemoryMetricName # readListPrec :: ReadPrec [LambdaFunctionMemoryMetricName] #
Show LambdaFunctionMemoryMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricName Methods showsPrec :: Int -> LambdaFunctionMemoryMetricName -> ShowS # show :: LambdaFunctionMemoryMetricName -> String # showList :: [LambdaFunctionMemoryMetricName] -> ShowS #
NFData LambdaFunctionMemoryMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricName Methods rnf :: LambdaFunctionMemoryMetricName -> () #
Eq LambdaFunctionMemoryMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricName Methods (==) :: LambdaFunctionMemoryMetricName -> LambdaFunctionMemoryMetricName -> Bool # (/=) :: LambdaFunctionMemoryMetricName -> LambdaFunctionMemoryMetricName -> Bool #
Ord LambdaFunctionMemoryMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricName Methods compare :: LambdaFunctionMemoryMetricName -> LambdaFunctionMemoryMetricName -> Ordering # (<) :: LambdaFunctionMemoryMetricName -> LambdaFunctionMemoryMetricName -> Bool # (<=) :: LambdaFunctionMemoryMetricName -> LambdaFunctionMemoryMetricName -> Bool # (>) :: LambdaFunctionMemoryMetricName -> LambdaFunctionMemoryMetricName -> Bool # (>=) :: LambdaFunctionMemoryMetricName -> LambdaFunctionMemoryMetricName -> Bool # max :: LambdaFunctionMemoryMetricName -> LambdaFunctionMemoryMetricName -> LambdaFunctionMemoryMetricName # min :: LambdaFunctionMemoryMetricName -> LambdaFunctionMemoryMetricName -> LambdaFunctionMemoryMetricName #
Hashable LambdaFunctionMemoryMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricName Methods hashWithSalt :: Int -> LambdaFunctionMemoryMetricName -> Int # hash :: LambdaFunctionMemoryMetricName -> Int #
type Rep LambdaFunctionMemoryMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricName type Rep LambdaFunctionMemoryMetricName = D1 ('MetaData "LambdaFunctionMemoryMetricName" "Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricName" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "LambdaFunctionMemoryMetricName'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromLambdaFunctionMemoryMetricName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

LambdaFunctionMemoryMetricStatistic

newtype LambdaFunctionMemoryMetricStatistic Source #

Constructors

LambdaFunctionMemoryMetricStatistic'
Fields fromLambdaFunctionMemoryMetricStatistic :: Text

Bundled Patterns

pattern LambdaFunctionMemoryMetricStatistic_Expected :: LambdaFunctionMemoryMetricStatistic
pattern LambdaFunctionMemoryMetricStatistic_LowerBound :: LambdaFunctionMemoryMetricStatistic
pattern LambdaFunctionMemoryMetricStatistic_UpperBound :: LambdaFunctionMemoryMetricStatistic

Instances

Instances details

FromJSON LambdaFunctionMemoryMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricStatistic Methods parseJSON :: Value -> Parser LambdaFunctionMemoryMetricStatistic # parseJSONList :: Value -> Parser [LambdaFunctionMemoryMetricStatistic] #
FromJSONKey LambdaFunctionMemoryMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricStatistic Methods fromJSONKey :: FromJSONKeyFunction LambdaFunctionMemoryMetricStatistic # fromJSONKeyList :: FromJSONKeyFunction [LambdaFunctionMemoryMetricStatistic] #
ToJSON LambdaFunctionMemoryMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricStatistic Methods toJSON :: LambdaFunctionMemoryMetricStatistic -> Value # toEncoding :: LambdaFunctionMemoryMetricStatistic -> Encoding # toJSONList :: [LambdaFunctionMemoryMetricStatistic] -> Value # toEncodingList :: [LambdaFunctionMemoryMetricStatistic] -> Encoding #
ToJSONKey LambdaFunctionMemoryMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricStatistic Methods toJSONKey :: ToJSONKeyFunction LambdaFunctionMemoryMetricStatistic # toJSONKeyList :: ToJSONKeyFunction [LambdaFunctionMemoryMetricStatistic] #
ToByteString LambdaFunctionMemoryMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricStatistic Methods toBS :: LambdaFunctionMemoryMetricStatistic -> ByteString #
ToHeader LambdaFunctionMemoryMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricStatistic Methods toHeader :: HeaderName -> LambdaFunctionMemoryMetricStatistic -> [Header] #
ToLog LambdaFunctionMemoryMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricStatistic Methods build :: LambdaFunctionMemoryMetricStatistic -> ByteStringBuilder #
ToQuery LambdaFunctionMemoryMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricStatistic Methods toQuery :: LambdaFunctionMemoryMetricStatistic -> QueryString #
FromText LambdaFunctionMemoryMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricStatistic Methods fromText :: Text -> Either String LambdaFunctionMemoryMetricStatistic #
ToText LambdaFunctionMemoryMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricStatistic Methods toText :: LambdaFunctionMemoryMetricStatistic -> Text #
FromXML LambdaFunctionMemoryMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricStatistic Methods parseXML :: [Node] -> Either String LambdaFunctionMemoryMetricStatistic #
ToXML LambdaFunctionMemoryMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricStatistic Methods toXML :: LambdaFunctionMemoryMetricStatistic -> XML #
Generic LambdaFunctionMemoryMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricStatistic Associated Types type Rep LambdaFunctionMemoryMetricStatistic :: Type -> Type # Methods from :: LambdaFunctionMemoryMetricStatistic -> Rep LambdaFunctionMemoryMetricStatistic x # to :: Rep LambdaFunctionMemoryMetricStatistic x -> LambdaFunctionMemoryMetricStatistic #
Read LambdaFunctionMemoryMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricStatistic Methods readsPrec :: Int -> ReadS LambdaFunctionMemoryMetricStatistic # readList :: ReadS [LambdaFunctionMemoryMetricStatistic] # readPrec :: ReadPrec LambdaFunctionMemoryMetricStatistic # readListPrec :: ReadPrec [LambdaFunctionMemoryMetricStatistic] #
Show LambdaFunctionMemoryMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricStatistic Methods showsPrec :: Int -> LambdaFunctionMemoryMetricStatistic -> ShowS # show :: LambdaFunctionMemoryMetricStatistic -> String # showList :: [LambdaFunctionMemoryMetricStatistic] -> ShowS #
NFData LambdaFunctionMemoryMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricStatistic Methods rnf :: LambdaFunctionMemoryMetricStatistic -> () #
Eq LambdaFunctionMemoryMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricStatistic Methods (==) :: LambdaFunctionMemoryMetricStatistic -> LambdaFunctionMemoryMetricStatistic -> Bool # (/=) :: LambdaFunctionMemoryMetricStatistic -> LambdaFunctionMemoryMetricStatistic -> Bool #
Ord LambdaFunctionMemoryMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricStatistic Methods compare :: LambdaFunctionMemoryMetricStatistic -> LambdaFunctionMemoryMetricStatistic -> Ordering # (<) :: LambdaFunctionMemoryMetricStatistic -> LambdaFunctionMemoryMetricStatistic -> Bool # (<=) :: LambdaFunctionMemoryMetricStatistic -> LambdaFunctionMemoryMetricStatistic -> Bool # (>) :: LambdaFunctionMemoryMetricStatistic -> LambdaFunctionMemoryMetricStatistic -> Bool # (>=) :: LambdaFunctionMemoryMetricStatistic -> LambdaFunctionMemoryMetricStatistic -> Bool # max :: LambdaFunctionMemoryMetricStatistic -> LambdaFunctionMemoryMetricStatistic -> LambdaFunctionMemoryMetricStatistic # min :: LambdaFunctionMemoryMetricStatistic -> LambdaFunctionMemoryMetricStatistic -> LambdaFunctionMemoryMetricStatistic #
Hashable LambdaFunctionMemoryMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricStatistic Methods hashWithSalt :: Int -> LambdaFunctionMemoryMetricStatistic -> Int # hash :: LambdaFunctionMemoryMetricStatistic -> Int #
type Rep LambdaFunctionMemoryMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricStatistic type Rep LambdaFunctionMemoryMetricStatistic = D1 ('MetaData "LambdaFunctionMemoryMetricStatistic" "Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryMetricStatistic" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "LambdaFunctionMemoryMetricStatistic'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromLambdaFunctionMemoryMetricStatistic") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

LambdaFunctionMetricName

newtype LambdaFunctionMetricName Source #

Constructors

LambdaFunctionMetricName'
Fields fromLambdaFunctionMetricName :: Text

Bundled Patterns

pattern LambdaFunctionMetricName_Duration :: LambdaFunctionMetricName
pattern LambdaFunctionMetricName_Memory :: LambdaFunctionMetricName

Instances

Instances details

FromJSON LambdaFunctionMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricName Methods parseJSON :: Value -> Parser LambdaFunctionMetricName # parseJSONList :: Value -> Parser [LambdaFunctionMetricName] #
FromJSONKey LambdaFunctionMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricName Methods fromJSONKey :: FromJSONKeyFunction LambdaFunctionMetricName # fromJSONKeyList :: FromJSONKeyFunction [LambdaFunctionMetricName] #
ToJSON LambdaFunctionMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricName Methods toJSON :: LambdaFunctionMetricName -> Value # toEncoding :: LambdaFunctionMetricName -> Encoding # toJSONList :: [LambdaFunctionMetricName] -> Value # toEncodingList :: [LambdaFunctionMetricName] -> Encoding #
ToJSONKey LambdaFunctionMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricName Methods toJSONKey :: ToJSONKeyFunction LambdaFunctionMetricName # toJSONKeyList :: ToJSONKeyFunction [LambdaFunctionMetricName] #
ToByteString LambdaFunctionMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricName Methods toBS :: LambdaFunctionMetricName -> ByteString #
ToHeader LambdaFunctionMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricName Methods toHeader :: HeaderName -> LambdaFunctionMetricName -> [Header] #
ToLog LambdaFunctionMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricName Methods build :: LambdaFunctionMetricName -> ByteStringBuilder #
ToQuery LambdaFunctionMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricName Methods toQuery :: LambdaFunctionMetricName -> QueryString #
FromText LambdaFunctionMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricName Methods fromText :: Text -> Either String LambdaFunctionMetricName #
ToText LambdaFunctionMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricName Methods toText :: LambdaFunctionMetricName -> Text #
FromXML LambdaFunctionMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricName Methods parseXML :: [Node] -> Either String LambdaFunctionMetricName #
ToXML LambdaFunctionMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricName Methods toXML :: LambdaFunctionMetricName -> XML #
Generic LambdaFunctionMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricName Associated Types type Rep LambdaFunctionMetricName :: Type -> Type # Methods from :: LambdaFunctionMetricName -> Rep LambdaFunctionMetricName x # to :: Rep LambdaFunctionMetricName x -> LambdaFunctionMetricName #
Read LambdaFunctionMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricName Methods readsPrec :: Int -> ReadS LambdaFunctionMetricName # readList :: ReadS [LambdaFunctionMetricName] # readPrec :: ReadPrec LambdaFunctionMetricName # readListPrec :: ReadPrec [LambdaFunctionMetricName] #
Show LambdaFunctionMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricName Methods showsPrec :: Int -> LambdaFunctionMetricName -> ShowS # show :: LambdaFunctionMetricName -> String # showList :: [LambdaFunctionMetricName] -> ShowS #
NFData LambdaFunctionMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricName Methods rnf :: LambdaFunctionMetricName -> () #
Eq LambdaFunctionMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricName Methods (==) :: LambdaFunctionMetricName -> LambdaFunctionMetricName -> Bool # (/=) :: LambdaFunctionMetricName -> LambdaFunctionMetricName -> Bool #
Ord LambdaFunctionMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricName Methods compare :: LambdaFunctionMetricName -> LambdaFunctionMetricName -> Ordering # (<) :: LambdaFunctionMetricName -> LambdaFunctionMetricName -> Bool # (<=) :: LambdaFunctionMetricName -> LambdaFunctionMetricName -> Bool # (>) :: LambdaFunctionMetricName -> LambdaFunctionMetricName -> Bool # (>=) :: LambdaFunctionMetricName -> LambdaFunctionMetricName -> Bool # max :: LambdaFunctionMetricName -> LambdaFunctionMetricName -> LambdaFunctionMetricName # min :: LambdaFunctionMetricName -> LambdaFunctionMetricName -> LambdaFunctionMetricName #
Hashable LambdaFunctionMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricName Methods hashWithSalt :: Int -> LambdaFunctionMetricName -> Int # hash :: LambdaFunctionMetricName -> Int #
type Rep LambdaFunctionMetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricName type Rep LambdaFunctionMetricName = D1 ('MetaData "LambdaFunctionMetricName" "Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricName" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "LambdaFunctionMetricName'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromLambdaFunctionMetricName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

LambdaFunctionMetricStatistic

newtype LambdaFunctionMetricStatistic Source #

Constructors

LambdaFunctionMetricStatistic'
Fields fromLambdaFunctionMetricStatistic :: Text

Bundled Patterns

pattern LambdaFunctionMetricStatistic_Average :: LambdaFunctionMetricStatistic
pattern LambdaFunctionMetricStatistic_Maximum :: LambdaFunctionMetricStatistic

Instances

Instances details

FromJSON LambdaFunctionMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricStatistic Methods parseJSON :: Value -> Parser LambdaFunctionMetricStatistic # parseJSONList :: Value -> Parser [LambdaFunctionMetricStatistic] #
FromJSONKey LambdaFunctionMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricStatistic Methods fromJSONKey :: FromJSONKeyFunction LambdaFunctionMetricStatistic # fromJSONKeyList :: FromJSONKeyFunction [LambdaFunctionMetricStatistic] #
ToJSON LambdaFunctionMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricStatistic Methods toJSON :: LambdaFunctionMetricStatistic -> Value # toEncoding :: LambdaFunctionMetricStatistic -> Encoding # toJSONList :: [LambdaFunctionMetricStatistic] -> Value # toEncodingList :: [LambdaFunctionMetricStatistic] -> Encoding #
ToJSONKey LambdaFunctionMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricStatistic Methods toJSONKey :: ToJSONKeyFunction LambdaFunctionMetricStatistic # toJSONKeyList :: ToJSONKeyFunction [LambdaFunctionMetricStatistic] #
ToByteString LambdaFunctionMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricStatistic Methods toBS :: LambdaFunctionMetricStatistic -> ByteString #
ToHeader LambdaFunctionMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricStatistic Methods toHeader :: HeaderName -> LambdaFunctionMetricStatistic -> [Header] #
ToLog LambdaFunctionMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricStatistic Methods build :: LambdaFunctionMetricStatistic -> ByteStringBuilder #
ToQuery LambdaFunctionMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricStatistic Methods toQuery :: LambdaFunctionMetricStatistic -> QueryString #
FromText LambdaFunctionMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricStatistic Methods fromText :: Text -> Either String LambdaFunctionMetricStatistic #
ToText LambdaFunctionMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricStatistic Methods toText :: LambdaFunctionMetricStatistic -> Text #
FromXML LambdaFunctionMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricStatistic Methods parseXML :: [Node] -> Either String LambdaFunctionMetricStatistic #
ToXML LambdaFunctionMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricStatistic Methods toXML :: LambdaFunctionMetricStatistic -> XML #
Generic LambdaFunctionMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricStatistic Associated Types type Rep LambdaFunctionMetricStatistic :: Type -> Type # Methods from :: LambdaFunctionMetricStatistic -> Rep LambdaFunctionMetricStatistic x # to :: Rep LambdaFunctionMetricStatistic x -> LambdaFunctionMetricStatistic #
Read LambdaFunctionMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricStatistic Methods readsPrec :: Int -> ReadS LambdaFunctionMetricStatistic # readList :: ReadS [LambdaFunctionMetricStatistic] # readPrec :: ReadPrec LambdaFunctionMetricStatistic # readListPrec :: ReadPrec [LambdaFunctionMetricStatistic] #
Show LambdaFunctionMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricStatistic Methods showsPrec :: Int -> LambdaFunctionMetricStatistic -> ShowS # show :: LambdaFunctionMetricStatistic -> String # showList :: [LambdaFunctionMetricStatistic] -> ShowS #
NFData LambdaFunctionMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricStatistic Methods rnf :: LambdaFunctionMetricStatistic -> () #
Eq LambdaFunctionMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricStatistic Methods (==) :: LambdaFunctionMetricStatistic -> LambdaFunctionMetricStatistic -> Bool # (/=) :: LambdaFunctionMetricStatistic -> LambdaFunctionMetricStatistic -> Bool #
Ord LambdaFunctionMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricStatistic Methods compare :: LambdaFunctionMetricStatistic -> LambdaFunctionMetricStatistic -> Ordering # (<) :: LambdaFunctionMetricStatistic -> LambdaFunctionMetricStatistic -> Bool # (<=) :: LambdaFunctionMetricStatistic -> LambdaFunctionMetricStatistic -> Bool # (>) :: LambdaFunctionMetricStatistic -> LambdaFunctionMetricStatistic -> Bool # (>=) :: LambdaFunctionMetricStatistic -> LambdaFunctionMetricStatistic -> Bool # max :: LambdaFunctionMetricStatistic -> LambdaFunctionMetricStatistic -> LambdaFunctionMetricStatistic # min :: LambdaFunctionMetricStatistic -> LambdaFunctionMetricStatistic -> LambdaFunctionMetricStatistic #
Hashable LambdaFunctionMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricStatistic Methods hashWithSalt :: Int -> LambdaFunctionMetricStatistic -> Int # hash :: LambdaFunctionMetricStatistic -> Int #
type Rep LambdaFunctionMetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricStatistic type Rep LambdaFunctionMetricStatistic = D1 ('MetaData "LambdaFunctionMetricStatistic" "Amazonka.ComputeOptimizer.Types.LambdaFunctionMetricStatistic" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "LambdaFunctionMetricStatistic'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromLambdaFunctionMetricStatistic") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

LambdaFunctionRecommendationFilterName

newtype LambdaFunctionRecommendationFilterName Source #

Constructors

LambdaFunctionRecommendationFilterName'
Fields fromLambdaFunctionRecommendationFilterName :: Text

Bundled Patterns

pattern LambdaFunctionRecommendationFilterName_Finding :: LambdaFunctionRecommendationFilterName
pattern LambdaFunctionRecommendationFilterName_FindingReasonCode :: LambdaFunctionRecommendationFilterName

Instances

Instances details

FromJSON LambdaFunctionRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFilterName Methods parseJSON :: Value -> Parser LambdaFunctionRecommendationFilterName # parseJSONList :: Value -> Parser [LambdaFunctionRecommendationFilterName] #
FromJSONKey LambdaFunctionRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFilterName Methods fromJSONKey :: FromJSONKeyFunction LambdaFunctionRecommendationFilterName # fromJSONKeyList :: FromJSONKeyFunction [LambdaFunctionRecommendationFilterName] #
ToJSON LambdaFunctionRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFilterName Methods toJSON :: LambdaFunctionRecommendationFilterName -> Value # toEncoding :: LambdaFunctionRecommendationFilterName -> Encoding # toJSONList :: [LambdaFunctionRecommendationFilterName] -> Value # toEncodingList :: [LambdaFunctionRecommendationFilterName] -> Encoding #
ToJSONKey LambdaFunctionRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFilterName Methods toJSONKey :: ToJSONKeyFunction LambdaFunctionRecommendationFilterName # toJSONKeyList :: ToJSONKeyFunction [LambdaFunctionRecommendationFilterName] #
ToByteString LambdaFunctionRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFilterName Methods toBS :: LambdaFunctionRecommendationFilterName -> ByteString #
ToHeader LambdaFunctionRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFilterName Methods toHeader :: HeaderName -> LambdaFunctionRecommendationFilterName -> [Header] #
ToLog LambdaFunctionRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFilterName Methods build :: LambdaFunctionRecommendationFilterName -> ByteStringBuilder #
ToQuery LambdaFunctionRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFilterName Methods toQuery :: LambdaFunctionRecommendationFilterName -> QueryString #
FromText LambdaFunctionRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFilterName Methods fromText :: Text -> Either String LambdaFunctionRecommendationFilterName #
ToText LambdaFunctionRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFilterName Methods toText :: LambdaFunctionRecommendationFilterName -> Text #
FromXML LambdaFunctionRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFilterName Methods parseXML :: [Node] -> Either String LambdaFunctionRecommendationFilterName #
ToXML LambdaFunctionRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFilterName Methods toXML :: LambdaFunctionRecommendationFilterName -> XML #
Generic LambdaFunctionRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFilterName Associated Types type Rep LambdaFunctionRecommendationFilterName :: Type -> Type # Methods from :: LambdaFunctionRecommendationFilterName -> Rep LambdaFunctionRecommendationFilterName x # to :: Rep LambdaFunctionRecommendationFilterName x -> LambdaFunctionRecommendationFilterName #
Read LambdaFunctionRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFilterName Methods readsPrec :: Int -> ReadS LambdaFunctionRecommendationFilterName # readList :: ReadS [LambdaFunctionRecommendationFilterName] # readPrec :: ReadPrec LambdaFunctionRecommendationFilterName # readListPrec :: ReadPrec [LambdaFunctionRecommendationFilterName] #
Show LambdaFunctionRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFilterName Methods showsPrec :: Int -> LambdaFunctionRecommendationFilterName -> ShowS # show :: LambdaFunctionRecommendationFilterName -> String # showList :: [LambdaFunctionRecommendationFilterName] -> ShowS #
NFData LambdaFunctionRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFilterName Methods rnf :: LambdaFunctionRecommendationFilterName -> () #
Eq LambdaFunctionRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFilterName Methods (==) :: LambdaFunctionRecommendationFilterName -> LambdaFunctionRecommendationFilterName -> Bool # (/=) :: LambdaFunctionRecommendationFilterName -> LambdaFunctionRecommendationFilterName -> Bool #
Ord LambdaFunctionRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFilterName Methods compare :: LambdaFunctionRecommendationFilterName -> LambdaFunctionRecommendationFilterName -> Ordering # (<) :: LambdaFunctionRecommendationFilterName -> LambdaFunctionRecommendationFilterName -> Bool # (<=) :: LambdaFunctionRecommendationFilterName -> LambdaFunctionRecommendationFilterName -> Bool # (>) :: LambdaFunctionRecommendationFilterName -> LambdaFunctionRecommendationFilterName -> Bool # (>=) :: LambdaFunctionRecommendationFilterName -> LambdaFunctionRecommendationFilterName -> Bool # max :: LambdaFunctionRecommendationFilterName -> LambdaFunctionRecommendationFilterName -> LambdaFunctionRecommendationFilterName # min :: LambdaFunctionRecommendationFilterName -> LambdaFunctionRecommendationFilterName -> LambdaFunctionRecommendationFilterName #
Hashable LambdaFunctionRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFilterName Methods hashWithSalt :: Int -> LambdaFunctionRecommendationFilterName -> Int # hash :: LambdaFunctionRecommendationFilterName -> Int #
type Rep LambdaFunctionRecommendationFilterName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFilterName type Rep LambdaFunctionRecommendationFilterName = D1 ('MetaData "LambdaFunctionRecommendationFilterName" "Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFilterName" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "LambdaFunctionRecommendationFilterName'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromLambdaFunctionRecommendationFilterName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

LambdaFunctionRecommendationFinding

newtype LambdaFunctionRecommendationFinding Source #

Constructors

LambdaFunctionRecommendationFinding'
Fields fromLambdaFunctionRecommendationFinding :: Text

Bundled Patterns

pattern LambdaFunctionRecommendationFinding_NotOptimized :: LambdaFunctionRecommendationFinding
pattern LambdaFunctionRecommendationFinding_Optimized :: LambdaFunctionRecommendationFinding
pattern LambdaFunctionRecommendationFinding_Unavailable :: LambdaFunctionRecommendationFinding

Instances

Instances details

FromJSON LambdaFunctionRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFinding Methods parseJSON :: Value -> Parser LambdaFunctionRecommendationFinding # parseJSONList :: Value -> Parser [LambdaFunctionRecommendationFinding] #
FromJSONKey LambdaFunctionRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFinding Methods fromJSONKey :: FromJSONKeyFunction LambdaFunctionRecommendationFinding # fromJSONKeyList :: FromJSONKeyFunction [LambdaFunctionRecommendationFinding] #
ToJSON LambdaFunctionRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFinding Methods toJSON :: LambdaFunctionRecommendationFinding -> Value # toEncoding :: LambdaFunctionRecommendationFinding -> Encoding # toJSONList :: [LambdaFunctionRecommendationFinding] -> Value # toEncodingList :: [LambdaFunctionRecommendationFinding] -> Encoding #
ToJSONKey LambdaFunctionRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFinding Methods toJSONKey :: ToJSONKeyFunction LambdaFunctionRecommendationFinding # toJSONKeyList :: ToJSONKeyFunction [LambdaFunctionRecommendationFinding] #
ToByteString LambdaFunctionRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFinding Methods toBS :: LambdaFunctionRecommendationFinding -> ByteString #
ToHeader LambdaFunctionRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFinding Methods toHeader :: HeaderName -> LambdaFunctionRecommendationFinding -> [Header] #
ToLog LambdaFunctionRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFinding Methods build :: LambdaFunctionRecommendationFinding -> ByteStringBuilder #
ToQuery LambdaFunctionRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFinding Methods toQuery :: LambdaFunctionRecommendationFinding -> QueryString #
FromText LambdaFunctionRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFinding Methods fromText :: Text -> Either String LambdaFunctionRecommendationFinding #
ToText LambdaFunctionRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFinding Methods toText :: LambdaFunctionRecommendationFinding -> Text #
FromXML LambdaFunctionRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFinding Methods parseXML :: [Node] -> Either String LambdaFunctionRecommendationFinding #
ToXML LambdaFunctionRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFinding Methods toXML :: LambdaFunctionRecommendationFinding -> XML #
Generic LambdaFunctionRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFinding Associated Types type Rep LambdaFunctionRecommendationFinding :: Type -> Type # Methods from :: LambdaFunctionRecommendationFinding -> Rep LambdaFunctionRecommendationFinding x # to :: Rep LambdaFunctionRecommendationFinding x -> LambdaFunctionRecommendationFinding #
Read LambdaFunctionRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFinding Methods readsPrec :: Int -> ReadS LambdaFunctionRecommendationFinding # readList :: ReadS [LambdaFunctionRecommendationFinding] # readPrec :: ReadPrec LambdaFunctionRecommendationFinding # readListPrec :: ReadPrec [LambdaFunctionRecommendationFinding] #
Show LambdaFunctionRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFinding Methods showsPrec :: Int -> LambdaFunctionRecommendationFinding -> ShowS # show :: LambdaFunctionRecommendationFinding -> String # showList :: [LambdaFunctionRecommendationFinding] -> ShowS #
NFData LambdaFunctionRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFinding Methods rnf :: LambdaFunctionRecommendationFinding -> () #
Eq LambdaFunctionRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFinding Methods (==) :: LambdaFunctionRecommendationFinding -> LambdaFunctionRecommendationFinding -> Bool # (/=) :: LambdaFunctionRecommendationFinding -> LambdaFunctionRecommendationFinding -> Bool #
Ord LambdaFunctionRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFinding Methods compare :: LambdaFunctionRecommendationFinding -> LambdaFunctionRecommendationFinding -> Ordering # (<) :: LambdaFunctionRecommendationFinding -> LambdaFunctionRecommendationFinding -> Bool # (<=) :: LambdaFunctionRecommendationFinding -> LambdaFunctionRecommendationFinding -> Bool # (>) :: LambdaFunctionRecommendationFinding -> LambdaFunctionRecommendationFinding -> Bool # (>=) :: LambdaFunctionRecommendationFinding -> LambdaFunctionRecommendationFinding -> Bool # max :: LambdaFunctionRecommendationFinding -> LambdaFunctionRecommendationFinding -> LambdaFunctionRecommendationFinding # min :: LambdaFunctionRecommendationFinding -> LambdaFunctionRecommendationFinding -> LambdaFunctionRecommendationFinding #
Hashable LambdaFunctionRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFinding Methods hashWithSalt :: Int -> LambdaFunctionRecommendationFinding -> Int # hash :: LambdaFunctionRecommendationFinding -> Int #
type Rep LambdaFunctionRecommendationFinding Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFinding type Rep LambdaFunctionRecommendationFinding = D1 ('MetaData "LambdaFunctionRecommendationFinding" "Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFinding" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "LambdaFunctionRecommendationFinding'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromLambdaFunctionRecommendationFinding") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

LambdaFunctionRecommendationFindingReasonCode

newtype LambdaFunctionRecommendationFindingReasonCode Source #

Constructors

LambdaFunctionRecommendationFindingReasonCode'
Fields fromLambdaFunctionRecommendationFindingReasonCode :: Text

Bundled Patterns

pattern LambdaFunctionRecommendationFindingReasonCode_Inconclusive :: LambdaFunctionRecommendationFindingReasonCode
pattern LambdaFunctionRecommendationFindingReasonCode_InsufficientData :: LambdaFunctionRecommendationFindingReasonCode
pattern LambdaFunctionRecommendationFindingReasonCode_MemoryOverprovisioned :: LambdaFunctionRecommendationFindingReasonCode
pattern LambdaFunctionRecommendationFindingReasonCode_MemoryUnderprovisioned :: LambdaFunctionRecommendationFindingReasonCode

Instances

Instances details

FromJSON LambdaFunctionRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFindingReasonCode Methods parseJSON :: Value -> Parser LambdaFunctionRecommendationFindingReasonCode # parseJSONList :: Value -> Parser [LambdaFunctionRecommendationFindingReasonCode] #
FromJSONKey LambdaFunctionRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFindingReasonCode Methods fromJSONKey :: FromJSONKeyFunction LambdaFunctionRecommendationFindingReasonCode # fromJSONKeyList :: FromJSONKeyFunction [LambdaFunctionRecommendationFindingReasonCode] #
ToJSON LambdaFunctionRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFindingReasonCode Methods toJSON :: LambdaFunctionRecommendationFindingReasonCode -> Value # toEncoding :: LambdaFunctionRecommendationFindingReasonCode -> Encoding # toJSONList :: [LambdaFunctionRecommendationFindingReasonCode] -> Value # toEncodingList :: [LambdaFunctionRecommendationFindingReasonCode] -> Encoding #
ToJSONKey LambdaFunctionRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFindingReasonCode Methods toJSONKey :: ToJSONKeyFunction LambdaFunctionRecommendationFindingReasonCode # toJSONKeyList :: ToJSONKeyFunction [LambdaFunctionRecommendationFindingReasonCode] #
ToByteString LambdaFunctionRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFindingReasonCode Methods toBS :: LambdaFunctionRecommendationFindingReasonCode -> ByteString #
ToHeader LambdaFunctionRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFindingReasonCode Methods toHeader :: HeaderName -> LambdaFunctionRecommendationFindingReasonCode -> [Header] #
ToLog LambdaFunctionRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFindingReasonCode Methods build :: LambdaFunctionRecommendationFindingReasonCode -> ByteStringBuilder #
ToQuery LambdaFunctionRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFindingReasonCode Methods toQuery :: LambdaFunctionRecommendationFindingReasonCode -> QueryString #
FromText LambdaFunctionRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFindingReasonCode Methods fromText :: Text -> Either String LambdaFunctionRecommendationFindingReasonCode #
ToText LambdaFunctionRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFindingReasonCode Methods toText :: LambdaFunctionRecommendationFindingReasonCode -> Text #
FromXML LambdaFunctionRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFindingReasonCode Methods parseXML :: [Node] -> Either String LambdaFunctionRecommendationFindingReasonCode #
ToXML LambdaFunctionRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFindingReasonCode Methods toXML :: LambdaFunctionRecommendationFindingReasonCode -> XML #
Generic LambdaFunctionRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFindingReasonCode Associated Types type Rep LambdaFunctionRecommendationFindingReasonCode :: Type -> Type # Methods from :: LambdaFunctionRecommendationFindingReasonCode -> Rep LambdaFunctionRecommendationFindingReasonCode x # to :: Rep LambdaFunctionRecommendationFindingReasonCode x -> LambdaFunctionRecommendationFindingReasonCode #
Read LambdaFunctionRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFindingReasonCode Methods readsPrec :: Int -> ReadS LambdaFunctionRecommendationFindingReasonCode # readList :: ReadS [LambdaFunctionRecommendationFindingReasonCode] # readPrec :: ReadPrec LambdaFunctionRecommendationFindingReasonCode # readListPrec :: ReadPrec [LambdaFunctionRecommendationFindingReasonCode] #
Show LambdaFunctionRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFindingReasonCode Methods showsPrec :: Int -> LambdaFunctionRecommendationFindingReasonCode -> ShowS # show :: LambdaFunctionRecommendationFindingReasonCode -> String # showList :: [LambdaFunctionRecommendationFindingReasonCode] -> ShowS #
NFData LambdaFunctionRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFindingReasonCode Methods rnf :: LambdaFunctionRecommendationFindingReasonCode -> () #
Eq LambdaFunctionRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFindingReasonCode Methods (==) :: LambdaFunctionRecommendationFindingReasonCode -> LambdaFunctionRecommendationFindingReasonCode -> Bool # (/=) :: LambdaFunctionRecommendationFindingReasonCode -> LambdaFunctionRecommendationFindingReasonCode -> Bool #
Ord LambdaFunctionRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFindingReasonCode Methods compare :: LambdaFunctionRecommendationFindingReasonCode -> LambdaFunctionRecommendationFindingReasonCode -> Ordering # (<) :: LambdaFunctionRecommendationFindingReasonCode -> LambdaFunctionRecommendationFindingReasonCode -> Bool # (<=) :: LambdaFunctionRecommendationFindingReasonCode -> LambdaFunctionRecommendationFindingReasonCode -> Bool # (>) :: LambdaFunctionRecommendationFindingReasonCode -> LambdaFunctionRecommendationFindingReasonCode -> Bool # (>=) :: LambdaFunctionRecommendationFindingReasonCode -> LambdaFunctionRecommendationFindingReasonCode -> Bool # max :: LambdaFunctionRecommendationFindingReasonCode -> LambdaFunctionRecommendationFindingReasonCode -> LambdaFunctionRecommendationFindingReasonCode # min :: LambdaFunctionRecommendationFindingReasonCode -> LambdaFunctionRecommendationFindingReasonCode -> LambdaFunctionRecommendationFindingReasonCode #
Hashable LambdaFunctionRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFindingReasonCode Methods hashWithSalt :: Int -> LambdaFunctionRecommendationFindingReasonCode -> Int # hash :: LambdaFunctionRecommendationFindingReasonCode -> Int #
type Rep LambdaFunctionRecommendationFindingReasonCode Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFindingReasonCode type Rep LambdaFunctionRecommendationFindingReasonCode = D1 ('MetaData "LambdaFunctionRecommendationFindingReasonCode" "Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFindingReasonCode" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "LambdaFunctionRecommendationFindingReasonCode'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromLambdaFunctionRecommendationFindingReasonCode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

MetricName

newtype MetricName Source #

Constructors

MetricName'
Fields fromMetricName :: Text

Bundled Patterns

pattern MetricName_Cpu :: MetricName
pattern MetricName_DISK_READ_BYTES_PER_SECOND :: MetricName
pattern MetricName_DISK_READ_OPS_PER_SECOND :: MetricName
pattern MetricName_DISK_WRITE_BYTES_PER_SECOND :: MetricName
pattern MetricName_DISK_WRITE_OPS_PER_SECOND :: MetricName
pattern MetricName_EBS_READ_BYTES_PER_SECOND :: MetricName
pattern MetricName_EBS_READ_OPS_PER_SECOND :: MetricName
pattern MetricName_EBS_WRITE_BYTES_PER_SECOND :: MetricName
pattern MetricName_EBS_WRITE_OPS_PER_SECOND :: MetricName
pattern MetricName_Memory :: MetricName
pattern MetricName_NETWORK_IN_BYTES_PER_SECOND :: MetricName
pattern MetricName_NETWORK_OUT_BYTES_PER_SECOND :: MetricName
pattern MetricName_NETWORK_PACKETS_IN_PER_SECOND :: MetricName
pattern MetricName_NETWORK_PACKETS_OUT_PER_SECOND :: MetricName

Instances

Instances details

FromJSON MetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricName Methods parseJSON :: Value -> Parser MetricName # parseJSONList :: Value -> Parser [MetricName] #
FromJSONKey MetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricName Methods fromJSONKey :: FromJSONKeyFunction MetricName # fromJSONKeyList :: FromJSONKeyFunction [MetricName] #
ToJSON MetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricName Methods toJSON :: MetricName -> Value # toEncoding :: MetricName -> Encoding # toJSONList :: [MetricName] -> Value # toEncodingList :: [MetricName] -> Encoding #
ToJSONKey MetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricName Methods toJSONKey :: ToJSONKeyFunction MetricName # toJSONKeyList :: ToJSONKeyFunction [MetricName] #
ToByteString MetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricName Methods toBS :: MetricName -> ByteString #
ToHeader MetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricName Methods toHeader :: HeaderName -> MetricName -> [Header] #
ToLog MetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricName Methods build :: MetricName -> ByteStringBuilder #
ToQuery MetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricName Methods toQuery :: MetricName -> QueryString #
FromText MetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricName Methods fromText :: Text -> Either String MetricName #
ToText MetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricName Methods toText :: MetricName -> Text #
FromXML MetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricName Methods parseXML :: [Node] -> Either String MetricName #
ToXML MetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricName Methods toXML :: MetricName -> XML #
Generic MetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricName Associated Types type Rep MetricName :: Type -> Type # Methods from :: MetricName -> Rep MetricName x # to :: Rep MetricName x -> MetricName #
Read MetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricName Methods readsPrec :: Int -> ReadS MetricName # readList :: ReadS [MetricName] # readPrec :: ReadPrec MetricName # readListPrec :: ReadPrec [MetricName] #
Show MetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricName Methods showsPrec :: Int -> MetricName -> ShowS # show :: MetricName -> String # showList :: [MetricName] -> ShowS #
NFData MetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricName Methods rnf :: MetricName -> () #
Eq MetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricName Methods (==) :: MetricName -> MetricName -> Bool # (/=) :: MetricName -> MetricName -> Bool #
Ord MetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricName Methods compare :: MetricName -> MetricName -> Ordering # (<) :: MetricName -> MetricName -> Bool # (<=) :: MetricName -> MetricName -> Bool # (>) :: MetricName -> MetricName -> Bool # (>=) :: MetricName -> MetricName -> Bool # max :: MetricName -> MetricName -> MetricName # min :: MetricName -> MetricName -> MetricName #
Hashable MetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricName Methods hashWithSalt :: Int -> MetricName -> Int # hash :: MetricName -> Int #
type Rep MetricName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricName type Rep MetricName = D1 ('MetaData "MetricName" "Amazonka.ComputeOptimizer.Types.MetricName" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "MetricName'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromMetricName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

MetricStatistic

newtype MetricStatistic Source #

Constructors

MetricStatistic'
Fields fromMetricStatistic :: Text

Bundled Patterns

pattern MetricStatistic_Average :: MetricStatistic
pattern MetricStatistic_Maximum :: MetricStatistic

Instances

Instances details

FromJSON MetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricStatistic Methods parseJSON :: Value -> Parser MetricStatistic # parseJSONList :: Value -> Parser [MetricStatistic] #
FromJSONKey MetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricStatistic Methods fromJSONKey :: FromJSONKeyFunction MetricStatistic # fromJSONKeyList :: FromJSONKeyFunction [MetricStatistic] #
ToJSON MetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricStatistic Methods toJSON :: MetricStatistic -> Value # toEncoding :: MetricStatistic -> Encoding # toJSONList :: [MetricStatistic] -> Value # toEncodingList :: [MetricStatistic] -> Encoding #
ToJSONKey MetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricStatistic Methods toJSONKey :: ToJSONKeyFunction MetricStatistic # toJSONKeyList :: ToJSONKeyFunction [MetricStatistic] #
ToByteString MetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricStatistic Methods toBS :: MetricStatistic -> ByteString #
ToHeader MetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricStatistic Methods toHeader :: HeaderName -> MetricStatistic -> [Header] #
ToLog MetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricStatistic Methods build :: MetricStatistic -> ByteStringBuilder #
ToQuery MetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricStatistic Methods toQuery :: MetricStatistic -> QueryString #
FromText MetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricStatistic Methods fromText :: Text -> Either String MetricStatistic #
ToText MetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricStatistic Methods toText :: MetricStatistic -> Text #
FromXML MetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricStatistic Methods parseXML :: [Node] -> Either String MetricStatistic #
ToXML MetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricStatistic Methods toXML :: MetricStatistic -> XML #
Generic MetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricStatistic Associated Types type Rep MetricStatistic :: Type -> Type # Methods from :: MetricStatistic -> Rep MetricStatistic x # to :: Rep MetricStatistic x -> MetricStatistic #
Read MetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricStatistic Methods readsPrec :: Int -> ReadS MetricStatistic # readList :: ReadS [MetricStatistic] # readPrec :: ReadPrec MetricStatistic # readListPrec :: ReadPrec [MetricStatistic] #
Show MetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricStatistic Methods showsPrec :: Int -> MetricStatistic -> ShowS # show :: MetricStatistic -> String # showList :: [MetricStatistic] -> ShowS #
NFData MetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricStatistic Methods rnf :: MetricStatistic -> () #
Eq MetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricStatistic Methods (==) :: MetricStatistic -> MetricStatistic -> Bool # (/=) :: MetricStatistic -> MetricStatistic -> Bool #
Ord MetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricStatistic Methods compare :: MetricStatistic -> MetricStatistic -> Ordering # (<) :: MetricStatistic -> MetricStatistic -> Bool # (<=) :: MetricStatistic -> MetricStatistic -> Bool # (>) :: MetricStatistic -> MetricStatistic -> Bool # (>=) :: MetricStatistic -> MetricStatistic -> Bool # max :: MetricStatistic -> MetricStatistic -> MetricStatistic # min :: MetricStatistic -> MetricStatistic -> MetricStatistic #
Hashable MetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricStatistic Methods hashWithSalt :: Int -> MetricStatistic -> Int # hash :: MetricStatistic -> Int #
type Rep MetricStatistic Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MetricStatistic type Rep MetricStatistic = D1 ('MetaData "MetricStatistic" "Amazonka.ComputeOptimizer.Types.MetricStatistic" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "MetricStatistic'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromMetricStatistic") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

MigrationEffort

newtype MigrationEffort Source #

Constructors

MigrationEffort'
Fields fromMigrationEffort :: Text

Bundled Patterns

pattern MigrationEffort_High :: MigrationEffort
pattern MigrationEffort_Low :: MigrationEffort
pattern MigrationEffort_Medium :: MigrationEffort
pattern MigrationEffort_VeryLow :: MigrationEffort

Instances

Instances details

FromJSON MigrationEffort Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MigrationEffort Methods parseJSON :: Value -> Parser MigrationEffort # parseJSONList :: Value -> Parser [MigrationEffort] #
FromJSONKey MigrationEffort Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MigrationEffort Methods fromJSONKey :: FromJSONKeyFunction MigrationEffort # fromJSONKeyList :: FromJSONKeyFunction [MigrationEffort] #
ToJSON MigrationEffort Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MigrationEffort Methods toJSON :: MigrationEffort -> Value # toEncoding :: MigrationEffort -> Encoding # toJSONList :: [MigrationEffort] -> Value # toEncodingList :: [MigrationEffort] -> Encoding #
ToJSONKey MigrationEffort Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MigrationEffort Methods toJSONKey :: ToJSONKeyFunction MigrationEffort # toJSONKeyList :: ToJSONKeyFunction [MigrationEffort] #
ToByteString MigrationEffort Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MigrationEffort Methods toBS :: MigrationEffort -> ByteString #
ToHeader MigrationEffort Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MigrationEffort Methods toHeader :: HeaderName -> MigrationEffort -> [Header] #
ToLog MigrationEffort Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MigrationEffort Methods build :: MigrationEffort -> ByteStringBuilder #
ToQuery MigrationEffort Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MigrationEffort Methods toQuery :: MigrationEffort -> QueryString #
FromText MigrationEffort Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MigrationEffort Methods fromText :: Text -> Either String MigrationEffort #
ToText MigrationEffort Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MigrationEffort Methods toText :: MigrationEffort -> Text #
FromXML MigrationEffort Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MigrationEffort Methods parseXML :: [Node] -> Either String MigrationEffort #
ToXML MigrationEffort Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MigrationEffort Methods toXML :: MigrationEffort -> XML #
Generic MigrationEffort Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MigrationEffort Associated Types type Rep MigrationEffort :: Type -> Type # Methods from :: MigrationEffort -> Rep MigrationEffort x # to :: Rep MigrationEffort x -> MigrationEffort #
Read MigrationEffort Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MigrationEffort Methods readsPrec :: Int -> ReadS MigrationEffort # readList :: ReadS [MigrationEffort] # readPrec :: ReadPrec MigrationEffort # readListPrec :: ReadPrec [MigrationEffort] #
Show MigrationEffort Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MigrationEffort Methods showsPrec :: Int -> MigrationEffort -> ShowS # show :: MigrationEffort -> String # showList :: [MigrationEffort] -> ShowS #
NFData MigrationEffort Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MigrationEffort Methods rnf :: MigrationEffort -> () #
Eq MigrationEffort Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MigrationEffort Methods (==) :: MigrationEffort -> MigrationEffort -> Bool # (/=) :: MigrationEffort -> MigrationEffort -> Bool #
Ord MigrationEffort Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MigrationEffort Methods compare :: MigrationEffort -> MigrationEffort -> Ordering # (<) :: MigrationEffort -> MigrationEffort -> Bool # (<=) :: MigrationEffort -> MigrationEffort -> Bool # (>) :: MigrationEffort -> MigrationEffort -> Bool # (>=) :: MigrationEffort -> MigrationEffort -> Bool # max :: MigrationEffort -> MigrationEffort -> MigrationEffort # min :: MigrationEffort -> MigrationEffort -> MigrationEffort #
Hashable MigrationEffort Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MigrationEffort Methods hashWithSalt :: Int -> MigrationEffort -> Int # hash :: MigrationEffort -> Int #
type Rep MigrationEffort Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MigrationEffort type Rep MigrationEffort = D1 ('MetaData "MigrationEffort" "Amazonka.ComputeOptimizer.Types.MigrationEffort" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "MigrationEffort'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromMigrationEffort") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

PlatformDifference

newtype PlatformDifference Source #

Constructors

PlatformDifference'
Fields fromPlatformDifference :: Text

Bundled Patterns

pattern PlatformDifference_Architecture :: PlatformDifference
pattern PlatformDifference_Hypervisor :: PlatformDifference
pattern PlatformDifference_InstanceStoreAvailability :: PlatformDifference
pattern PlatformDifference_NetworkInterface :: PlatformDifference
pattern PlatformDifference_StorageInterface :: PlatformDifference
pattern PlatformDifference_VirtualizationType :: PlatformDifference

Instances

Instances details

FromJSON PlatformDifference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.PlatformDifference Methods parseJSON :: Value -> Parser PlatformDifference # parseJSONList :: Value -> Parser [PlatformDifference] #
FromJSONKey PlatformDifference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.PlatformDifference Methods fromJSONKey :: FromJSONKeyFunction PlatformDifference # fromJSONKeyList :: FromJSONKeyFunction [PlatformDifference] #
ToJSON PlatformDifference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.PlatformDifference Methods toJSON :: PlatformDifference -> Value # toEncoding :: PlatformDifference -> Encoding # toJSONList :: [PlatformDifference] -> Value # toEncodingList :: [PlatformDifference] -> Encoding #
ToJSONKey PlatformDifference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.PlatformDifference Methods toJSONKey :: ToJSONKeyFunction PlatformDifference # toJSONKeyList :: ToJSONKeyFunction [PlatformDifference] #
ToByteString PlatformDifference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.PlatformDifference Methods toBS :: PlatformDifference -> ByteString #
ToHeader PlatformDifference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.PlatformDifference Methods toHeader :: HeaderName -> PlatformDifference -> [Header] #
ToLog PlatformDifference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.PlatformDifference Methods build :: PlatformDifference -> ByteStringBuilder #
ToQuery PlatformDifference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.PlatformDifference Methods toQuery :: PlatformDifference -> QueryString #
FromText PlatformDifference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.PlatformDifference Methods fromText :: Text -> Either String PlatformDifference #
ToText PlatformDifference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.PlatformDifference Methods toText :: PlatformDifference -> Text #
FromXML PlatformDifference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.PlatformDifference Methods parseXML :: [Node] -> Either String PlatformDifference #
ToXML PlatformDifference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.PlatformDifference Methods toXML :: PlatformDifference -> XML #
Generic PlatformDifference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.PlatformDifference Associated Types type Rep PlatformDifference :: Type -> Type # Methods from :: PlatformDifference -> Rep PlatformDifference x # to :: Rep PlatformDifference x -> PlatformDifference #
Read PlatformDifference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.PlatformDifference Methods readsPrec :: Int -> ReadS PlatformDifference # readList :: ReadS [PlatformDifference] # readPrec :: ReadPrec PlatformDifference # readListPrec :: ReadPrec [PlatformDifference] #
Show PlatformDifference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.PlatformDifference Methods showsPrec :: Int -> PlatformDifference -> ShowS # show :: PlatformDifference -> String # showList :: [PlatformDifference] -> ShowS #
NFData PlatformDifference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.PlatformDifference Methods rnf :: PlatformDifference -> () #
Eq PlatformDifference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.PlatformDifference Methods (==) :: PlatformDifference -> PlatformDifference -> Bool # (/=) :: PlatformDifference -> PlatformDifference -> Bool #
Ord PlatformDifference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.PlatformDifference Methods compare :: PlatformDifference -> PlatformDifference -> Ordering # (<) :: PlatformDifference -> PlatformDifference -> Bool # (<=) :: PlatformDifference -> PlatformDifference -> Bool # (>) :: PlatformDifference -> PlatformDifference -> Bool # (>=) :: PlatformDifference -> PlatformDifference -> Bool # max :: PlatformDifference -> PlatformDifference -> PlatformDifference # min :: PlatformDifference -> PlatformDifference -> PlatformDifference #
Hashable PlatformDifference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.PlatformDifference Methods hashWithSalt :: Int -> PlatformDifference -> Int # hash :: PlatformDifference -> Int #
type Rep PlatformDifference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.PlatformDifference type Rep PlatformDifference = D1 ('MetaData "PlatformDifference" "Amazonka.ComputeOptimizer.Types.PlatformDifference" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "PlatformDifference'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromPlatformDifference") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

RecommendationPreferenceName

newtype RecommendationPreferenceName Source #

Constructors

RecommendationPreferenceName'
Fields fromRecommendationPreferenceName :: Text

Bundled Patterns

pattern RecommendationPreferenceName_EnhancedInfrastructureMetrics :: RecommendationPreferenceName
pattern RecommendationPreferenceName_ExternalMetricsPreference :: RecommendationPreferenceName
pattern RecommendationPreferenceName_InferredWorkloadTypes :: RecommendationPreferenceName

Instances

Instances details

FromJSON RecommendationPreferenceName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationPreferenceName Methods parseJSON :: Value -> Parser RecommendationPreferenceName # parseJSONList :: Value -> Parser [RecommendationPreferenceName] #
FromJSONKey RecommendationPreferenceName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationPreferenceName Methods fromJSONKey :: FromJSONKeyFunction RecommendationPreferenceName # fromJSONKeyList :: FromJSONKeyFunction [RecommendationPreferenceName] #
ToJSON RecommendationPreferenceName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationPreferenceName Methods toJSON :: RecommendationPreferenceName -> Value # toEncoding :: RecommendationPreferenceName -> Encoding # toJSONList :: [RecommendationPreferenceName] -> Value # toEncodingList :: [RecommendationPreferenceName] -> Encoding #
ToJSONKey RecommendationPreferenceName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationPreferenceName Methods toJSONKey :: ToJSONKeyFunction RecommendationPreferenceName # toJSONKeyList :: ToJSONKeyFunction [RecommendationPreferenceName] #
ToByteString RecommendationPreferenceName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationPreferenceName Methods toBS :: RecommendationPreferenceName -> ByteString #
ToHeader RecommendationPreferenceName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationPreferenceName Methods toHeader :: HeaderName -> RecommendationPreferenceName -> [Header] #
ToLog RecommendationPreferenceName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationPreferenceName Methods build :: RecommendationPreferenceName -> ByteStringBuilder #
ToQuery RecommendationPreferenceName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationPreferenceName Methods toQuery :: RecommendationPreferenceName -> QueryString #
FromText RecommendationPreferenceName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationPreferenceName Methods fromText :: Text -> Either String RecommendationPreferenceName #
ToText RecommendationPreferenceName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationPreferenceName Methods toText :: RecommendationPreferenceName -> Text #
FromXML RecommendationPreferenceName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationPreferenceName Methods parseXML :: [Node] -> Either String RecommendationPreferenceName #
ToXML RecommendationPreferenceName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationPreferenceName Methods toXML :: RecommendationPreferenceName -> XML #
Generic RecommendationPreferenceName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationPreferenceName Associated Types type Rep RecommendationPreferenceName :: Type -> Type # Methods from :: RecommendationPreferenceName -> Rep RecommendationPreferenceName x # to :: Rep RecommendationPreferenceName x -> RecommendationPreferenceName #
Read RecommendationPreferenceName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationPreferenceName Methods readsPrec :: Int -> ReadS RecommendationPreferenceName # readList :: ReadS [RecommendationPreferenceName] # readPrec :: ReadPrec RecommendationPreferenceName # readListPrec :: ReadPrec [RecommendationPreferenceName] #
Show RecommendationPreferenceName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationPreferenceName Methods showsPrec :: Int -> RecommendationPreferenceName -> ShowS # show :: RecommendationPreferenceName -> String # showList :: [RecommendationPreferenceName] -> ShowS #
NFData RecommendationPreferenceName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationPreferenceName Methods rnf :: RecommendationPreferenceName -> () #
Eq RecommendationPreferenceName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationPreferenceName Methods (==) :: RecommendationPreferenceName -> RecommendationPreferenceName -> Bool # (/=) :: RecommendationPreferenceName -> RecommendationPreferenceName -> Bool #
Ord RecommendationPreferenceName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationPreferenceName Methods compare :: RecommendationPreferenceName -> RecommendationPreferenceName -> Ordering # (<) :: RecommendationPreferenceName -> RecommendationPreferenceName -> Bool # (<=) :: RecommendationPreferenceName -> RecommendationPreferenceName -> Bool # (>) :: RecommendationPreferenceName -> RecommendationPreferenceName -> Bool # (>=) :: RecommendationPreferenceName -> RecommendationPreferenceName -> Bool # max :: RecommendationPreferenceName -> RecommendationPreferenceName -> RecommendationPreferenceName # min :: RecommendationPreferenceName -> RecommendationPreferenceName -> RecommendationPreferenceName #
Hashable RecommendationPreferenceName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationPreferenceName Methods hashWithSalt :: Int -> RecommendationPreferenceName -> Int # hash :: RecommendationPreferenceName -> Int #
type Rep RecommendationPreferenceName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationPreferenceName type Rep RecommendationPreferenceName = D1 ('MetaData "RecommendationPreferenceName" "Amazonka.ComputeOptimizer.Types.RecommendationPreferenceName" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "RecommendationPreferenceName'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromRecommendationPreferenceName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

RecommendationSourceType

newtype RecommendationSourceType Source #

Constructors

RecommendationSourceType'
Fields fromRecommendationSourceType :: Text

Bundled Patterns

pattern RecommendationSourceType_AutoScalingGroup :: RecommendationSourceType
pattern RecommendationSourceType_EbsVolume :: RecommendationSourceType
pattern RecommendationSourceType_Ec2Instance :: RecommendationSourceType
pattern RecommendationSourceType_EcsService :: RecommendationSourceType
pattern RecommendationSourceType_LambdaFunction :: RecommendationSourceType

Instances

Instances details

FromJSON RecommendationSourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationSourceType Methods parseJSON :: Value -> Parser RecommendationSourceType # parseJSONList :: Value -> Parser [RecommendationSourceType] #
FromJSONKey RecommendationSourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationSourceType Methods fromJSONKey :: FromJSONKeyFunction RecommendationSourceType # fromJSONKeyList :: FromJSONKeyFunction [RecommendationSourceType] #
ToJSON RecommendationSourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationSourceType Methods toJSON :: RecommendationSourceType -> Value # toEncoding :: RecommendationSourceType -> Encoding # toJSONList :: [RecommendationSourceType] -> Value # toEncodingList :: [RecommendationSourceType] -> Encoding #
ToJSONKey RecommendationSourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationSourceType Methods toJSONKey :: ToJSONKeyFunction RecommendationSourceType # toJSONKeyList :: ToJSONKeyFunction [RecommendationSourceType] #
ToByteString RecommendationSourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationSourceType Methods toBS :: RecommendationSourceType -> ByteString #
ToHeader RecommendationSourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationSourceType Methods toHeader :: HeaderName -> RecommendationSourceType -> [Header] #
ToLog RecommendationSourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationSourceType Methods build :: RecommendationSourceType -> ByteStringBuilder #
ToQuery RecommendationSourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationSourceType Methods toQuery :: RecommendationSourceType -> QueryString #
FromText RecommendationSourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationSourceType Methods fromText :: Text -> Either String RecommendationSourceType #
ToText RecommendationSourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationSourceType Methods toText :: RecommendationSourceType -> Text #
FromXML RecommendationSourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationSourceType Methods parseXML :: [Node] -> Either String RecommendationSourceType #
ToXML RecommendationSourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationSourceType Methods toXML :: RecommendationSourceType -> XML #
Generic RecommendationSourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationSourceType Associated Types type Rep RecommendationSourceType :: Type -> Type # Methods from :: RecommendationSourceType -> Rep RecommendationSourceType x # to :: Rep RecommendationSourceType x -> RecommendationSourceType #
Read RecommendationSourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationSourceType Methods readsPrec :: Int -> ReadS RecommendationSourceType # readList :: ReadS [RecommendationSourceType] # readPrec :: ReadPrec RecommendationSourceType # readListPrec :: ReadPrec [RecommendationSourceType] #
Show RecommendationSourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationSourceType Methods showsPrec :: Int -> RecommendationSourceType -> ShowS # show :: RecommendationSourceType -> String # showList :: [RecommendationSourceType] -> ShowS #
NFData RecommendationSourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationSourceType Methods rnf :: RecommendationSourceType -> () #
Eq RecommendationSourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationSourceType Methods (==) :: RecommendationSourceType -> RecommendationSourceType -> Bool # (/=) :: RecommendationSourceType -> RecommendationSourceType -> Bool #
Ord RecommendationSourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationSourceType Methods compare :: RecommendationSourceType -> RecommendationSourceType -> Ordering # (<) :: RecommendationSourceType -> RecommendationSourceType -> Bool # (<=) :: RecommendationSourceType -> RecommendationSourceType -> Bool # (>) :: RecommendationSourceType -> RecommendationSourceType -> Bool # (>=) :: RecommendationSourceType -> RecommendationSourceType -> Bool # max :: RecommendationSourceType -> RecommendationSourceType -> RecommendationSourceType # min :: RecommendationSourceType -> RecommendationSourceType -> RecommendationSourceType #
Hashable RecommendationSourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationSourceType Methods hashWithSalt :: Int -> RecommendationSourceType -> Int # hash :: RecommendationSourceType -> Int #
type Rep RecommendationSourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationSourceType type Rep RecommendationSourceType = D1 ('MetaData "RecommendationSourceType" "Amazonka.ComputeOptimizer.Types.RecommendationSourceType" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "RecommendationSourceType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromRecommendationSourceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ResourceType

newtype ResourceType Source #

Constructors

ResourceType'
Fields fromResourceType :: Text

Bundled Patterns

pattern ResourceType_AutoScalingGroup :: ResourceType
pattern ResourceType_EbsVolume :: ResourceType
pattern ResourceType_Ec2Instance :: ResourceType
pattern ResourceType_EcsService :: ResourceType
pattern ResourceType_LambdaFunction :: ResourceType
pattern ResourceType_NotApplicable :: ResourceType

Instances

Instances details

FromJSON ResourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ResourceType Methods parseJSON :: Value -> Parser ResourceType # parseJSONList :: Value -> Parser [ResourceType] #
FromJSONKey ResourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ResourceType Methods fromJSONKey :: FromJSONKeyFunction ResourceType # fromJSONKeyList :: FromJSONKeyFunction [ResourceType] #
ToJSON ResourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ResourceType Methods toJSON :: ResourceType -> Value # toEncoding :: ResourceType -> Encoding # toJSONList :: [ResourceType] -> Value # toEncodingList :: [ResourceType] -> Encoding #
ToJSONKey ResourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ResourceType Methods toJSONKey :: ToJSONKeyFunction ResourceType # toJSONKeyList :: ToJSONKeyFunction [ResourceType] #
ToByteString ResourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ResourceType Methods toBS :: ResourceType -> ByteString #
ToHeader ResourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ResourceType Methods toHeader :: HeaderName -> ResourceType -> [Header] #
ToLog ResourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ResourceType Methods build :: ResourceType -> ByteStringBuilder #
ToQuery ResourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ResourceType Methods toQuery :: ResourceType -> QueryString #
FromText ResourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ResourceType Methods fromText :: Text -> Either String ResourceType #
ToText ResourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ResourceType Methods toText :: ResourceType -> Text #
FromXML ResourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ResourceType Methods parseXML :: [Node] -> Either String ResourceType #
ToXML ResourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ResourceType Methods toXML :: ResourceType -> XML #
Generic ResourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ResourceType Associated Types type Rep ResourceType :: Type -> Type # Methods from :: ResourceType -> Rep ResourceType x # to :: Rep ResourceType x -> ResourceType #
Read ResourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ResourceType Methods readsPrec :: Int -> ReadS ResourceType # readList :: ReadS [ResourceType] # readPrec :: ReadPrec ResourceType # readListPrec :: ReadPrec [ResourceType] #
Show ResourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ResourceType Methods showsPrec :: Int -> ResourceType -> ShowS # show :: ResourceType -> String # showList :: [ResourceType] -> ShowS #
NFData ResourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ResourceType Methods rnf :: ResourceType -> () #
Eq ResourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ResourceType Methods (==) :: ResourceType -> ResourceType -> Bool # (/=) :: ResourceType -> ResourceType -> Bool #
Ord ResourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ResourceType Methods compare :: ResourceType -> ResourceType -> Ordering # (<) :: ResourceType -> ResourceType -> Bool # (<=) :: ResourceType -> ResourceType -> Bool # (>) :: ResourceType -> ResourceType -> Bool # (>=) :: ResourceType -> ResourceType -> Bool # max :: ResourceType -> ResourceType -> ResourceType # min :: ResourceType -> ResourceType -> ResourceType #
Hashable ResourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ResourceType Methods hashWithSalt :: Int -> ResourceType -> Int # hash :: ResourceType -> Int #
type Rep ResourceType Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ResourceType type Rep ResourceType = D1 ('MetaData "ResourceType" "Amazonka.ComputeOptimizer.Types.ResourceType" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "ResourceType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromResourceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ScopeName

newtype ScopeName Source #

Constructors

ScopeName'
Fields fromScopeName :: Text

Bundled Patterns

pattern ScopeName_AccountId :: ScopeName
pattern ScopeName_Organization :: ScopeName
pattern ScopeName_ResourceArn :: ScopeName

Instances

Instances details

FromJSON ScopeName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ScopeName Methods parseJSON :: Value -> Parser ScopeName # parseJSONList :: Value -> Parser [ScopeName] #
FromJSONKey ScopeName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ScopeName Methods fromJSONKey :: FromJSONKeyFunction ScopeName # fromJSONKeyList :: FromJSONKeyFunction [ScopeName] #
ToJSON ScopeName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ScopeName Methods toJSON :: ScopeName -> Value # toEncoding :: ScopeName -> Encoding # toJSONList :: [ScopeName] -> Value # toEncodingList :: [ScopeName] -> Encoding #
ToJSONKey ScopeName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ScopeName Methods toJSONKey :: ToJSONKeyFunction ScopeName # toJSONKeyList :: ToJSONKeyFunction [ScopeName] #
ToByteString ScopeName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ScopeName Methods toBS :: ScopeName -> ByteString #
ToHeader ScopeName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ScopeName Methods toHeader :: HeaderName -> ScopeName -> [Header] #
ToLog ScopeName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ScopeName Methods build :: ScopeName -> ByteStringBuilder #
ToQuery ScopeName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ScopeName Methods toQuery :: ScopeName -> QueryString #
FromText ScopeName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ScopeName Methods fromText :: Text -> Either String ScopeName #
ToText ScopeName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ScopeName Methods toText :: ScopeName -> Text #
FromXML ScopeName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ScopeName Methods parseXML :: [Node] -> Either String ScopeName #
ToXML ScopeName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ScopeName Methods toXML :: ScopeName -> XML #
Generic ScopeName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ScopeName Associated Types type Rep ScopeName :: Type -> Type # Methods from :: ScopeName -> Rep ScopeName x # to :: Rep ScopeName x -> ScopeName #
Read ScopeName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ScopeName Methods readsPrec :: Int -> ReadS ScopeName # readList :: ReadS [ScopeName] # readPrec :: ReadPrec ScopeName # readListPrec :: ReadPrec [ScopeName] #
Show ScopeName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ScopeName Methods showsPrec :: Int -> ScopeName -> ShowS # show :: ScopeName -> String # showList :: [ScopeName] -> ShowS #
NFData ScopeName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ScopeName Methods rnf :: ScopeName -> () #
Eq ScopeName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ScopeName Methods (==) :: ScopeName -> ScopeName -> Bool # (/=) :: ScopeName -> ScopeName -> Bool #
Ord ScopeName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ScopeName Methods compare :: ScopeName -> ScopeName -> Ordering # (<) :: ScopeName -> ScopeName -> Bool # (<=) :: ScopeName -> ScopeName -> Bool # (>) :: ScopeName -> ScopeName -> Bool # (>=) :: ScopeName -> ScopeName -> Bool # max :: ScopeName -> ScopeName -> ScopeName # min :: ScopeName -> ScopeName -> ScopeName #
Hashable ScopeName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ScopeName Methods hashWithSalt :: Int -> ScopeName -> Int # hash :: ScopeName -> Int #
type Rep ScopeName Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ScopeName type Rep ScopeName = D1 ('MetaData "ScopeName" "Amazonka.ComputeOptimizer.Types.ScopeName" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "ScopeName'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromScopeName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

Status

newtype Status Source #

Constructors

Status'
Fields fromStatus :: Text

Bundled Patterns

pattern Status_Active :: Status
pattern Status_Failed :: Status
pattern Status_Inactive :: Status
pattern Status_Pending :: Status

Instances

Instances details

FromJSON Status Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Status Methods parseJSON :: Value -> Parser Status # parseJSONList :: Value -> Parser [Status] #
FromJSONKey Status Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Status Methods fromJSONKey :: FromJSONKeyFunction Status # fromJSONKeyList :: FromJSONKeyFunction [Status] #
ToJSON Status Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Status Methods toJSON :: Status -> Value # toEncoding :: Status -> Encoding # toJSONList :: [Status] -> Value # toEncodingList :: [Status] -> Encoding #
ToJSONKey Status Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Status Methods toJSONKey :: ToJSONKeyFunction Status # toJSONKeyList :: ToJSONKeyFunction [Status] #
ToByteString Status Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Status Methods toBS :: Status -> ByteString #
ToHeader Status Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Status Methods toHeader :: HeaderName -> Status -> [Header] #
ToLog Status Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Status Methods build :: Status -> ByteStringBuilder #
ToQuery Status Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Status Methods toQuery :: Status -> QueryString #
FromText Status Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Status Methods fromText :: Text -> Either String Status #
ToText Status Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Status Methods toText :: Status -> Text #
FromXML Status Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Status Methods parseXML :: [Node] -> Either String Status #
ToXML Status Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Status Methods toXML :: Status -> XML #
Generic Status Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Status Associated Types type Rep Status :: Type -> Type # Methods from :: Status -> Rep Status x # to :: Rep Status x -> Status #
Read Status Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Status Methods readsPrec :: Int -> ReadS Status # readList :: ReadS [Status] # readPrec :: ReadPrec Status # readListPrec :: ReadPrec [Status] #
Show Status Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Status Methods showsPrec :: Int -> Status -> ShowS # show :: Status -> String # showList :: [Status] -> ShowS #
NFData Status Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Status Methods rnf :: Status -> () #
Eq Status Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Status Methods (==) :: Status -> Status -> Bool # (/=) :: Status -> Status -> Bool #
Ord Status Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Status Methods compare :: Status -> Status -> Ordering # (<) :: Status -> Status -> Bool # (<=) :: Status -> Status -> Bool # (>) :: Status -> Status -> Bool # (>=) :: Status -> Status -> Bool # max :: Status -> Status -> Status # min :: Status -> Status -> Status #
Hashable Status Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Status Methods hashWithSalt :: Int -> Status -> Int # hash :: Status -> Int #
type Rep Status Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Status type Rep Status = D1 ('MetaData "Status" "Amazonka.ComputeOptimizer.Types.Status" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'True) (C1 ('MetaCons "Status'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AccountEnrollmentStatus

data AccountEnrollmentStatus Source #

Describes the enrollment status of an organization's member accounts in Compute Optimizer.

See: newAccountEnrollmentStatus smart constructor.

Constructors

AccountEnrollmentStatus'

Fields

accountId :: Maybe Text
The Amazon Web Services account ID.
lastUpdatedTimestamp :: Maybe POSIX
The Unix epoch timestamp, in seconds, of when the account enrollment status was last updated.
status :: Maybe Status
The account enrollment status.
statusReason :: Maybe Text
The reason for the account enrollment status.
For example, an account might show a status of Pending because member accounts of an organization require more time to be enrolled in the service.

Instances

Instances details

FromJSON AccountEnrollmentStatus Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AccountEnrollmentStatus Methods parseJSON :: Value -> Parser AccountEnrollmentStatus # parseJSONList :: Value -> Parser [AccountEnrollmentStatus] #
Generic AccountEnrollmentStatus Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AccountEnrollmentStatus Associated Types type Rep AccountEnrollmentStatus :: Type -> Type # Methods from :: AccountEnrollmentStatus -> Rep AccountEnrollmentStatus x # to :: Rep AccountEnrollmentStatus x -> AccountEnrollmentStatus #
Read AccountEnrollmentStatus Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AccountEnrollmentStatus Methods readsPrec :: Int -> ReadS AccountEnrollmentStatus # readList :: ReadS [AccountEnrollmentStatus] # readPrec :: ReadPrec AccountEnrollmentStatus # readListPrec :: ReadPrec [AccountEnrollmentStatus] #
Show AccountEnrollmentStatus Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AccountEnrollmentStatus Methods showsPrec :: Int -> AccountEnrollmentStatus -> ShowS # show :: AccountEnrollmentStatus -> String # showList :: [AccountEnrollmentStatus] -> ShowS #
NFData AccountEnrollmentStatus Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AccountEnrollmentStatus Methods rnf :: AccountEnrollmentStatus -> () #
Eq AccountEnrollmentStatus Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AccountEnrollmentStatus Methods (==) :: AccountEnrollmentStatus -> AccountEnrollmentStatus -> Bool # (/=) :: AccountEnrollmentStatus -> AccountEnrollmentStatus -> Bool #
Hashable AccountEnrollmentStatus Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AccountEnrollmentStatus Methods hashWithSalt :: Int -> AccountEnrollmentStatus -> Int # hash :: AccountEnrollmentStatus -> Int #
type Rep AccountEnrollmentStatus Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AccountEnrollmentStatus type Rep AccountEnrollmentStatus = D1 ('MetaData "AccountEnrollmentStatus" "Amazonka.ComputeOptimizer.Types.AccountEnrollmentStatus" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "AccountEnrollmentStatus'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "accountId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "lastUpdatedTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Status)) :*: S1 ('MetaSel ('Just "statusReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newAccountEnrollmentStatus :: AccountEnrollmentStatus Source #

Create a value of AccountEnrollmentStatus with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:accountId:AccountEnrollmentStatus', accountEnrollmentStatus_accountId - The Amazon Web Services account ID.

$sel:lastUpdatedTimestamp:AccountEnrollmentStatus', accountEnrollmentStatus_lastUpdatedTimestamp - The Unix epoch timestamp, in seconds, of when the account enrollment status was last updated.

$sel:status:AccountEnrollmentStatus', accountEnrollmentStatus_status - The account enrollment status.

$sel:statusReason:AccountEnrollmentStatus', accountEnrollmentStatus_statusReason - The reason for the account enrollment status.

For example, an account might show a status of Pending because member accounts of an organization require more time to be enrolled in the service.

accountEnrollmentStatus_accountId :: Lens' AccountEnrollmentStatus (Maybe Text) Source #

The Amazon Web Services account ID.

accountEnrollmentStatus_lastUpdatedTimestamp :: Lens' AccountEnrollmentStatus (Maybe UTCTime) Source #

The Unix epoch timestamp, in seconds, of when the account enrollment status was last updated.

accountEnrollmentStatus_status :: Lens' AccountEnrollmentStatus (Maybe Status) Source #

The account enrollment status.

accountEnrollmentStatus_statusReason :: Lens' AccountEnrollmentStatus (Maybe Text) Source #

The reason for the account enrollment status.

For example, an account might show a status of Pending because member accounts of an organization require more time to be enrolled in the service.

AutoScalingGroupConfiguration

data AutoScalingGroupConfiguration Source #

Describes the configuration of an Auto Scaling group.

See: newAutoScalingGroupConfiguration smart constructor.

Constructors

AutoScalingGroupConfiguration'
Fields desiredCapacity :: Maybe Int The desired capacity, or number of instances, for the Auto Scaling group. instanceType :: Maybe Text The instance type for the Auto Scaling group. maxSize :: Maybe Int The maximum size, or maximum number of instances, for the Auto Scaling group. minSize :: Maybe Int The minimum size, or minimum number of instances, for the Auto Scaling group.

Instances

Instances details

FromJSON AutoScalingGroupConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingGroupConfiguration Methods parseJSON :: Value -> Parser AutoScalingGroupConfiguration # parseJSONList :: Value -> Parser [AutoScalingGroupConfiguration] #
Generic AutoScalingGroupConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingGroupConfiguration Associated Types type Rep AutoScalingGroupConfiguration :: Type -> Type # Methods from :: AutoScalingGroupConfiguration -> Rep AutoScalingGroupConfiguration x # to :: Rep AutoScalingGroupConfiguration x -> AutoScalingGroupConfiguration #
Read AutoScalingGroupConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingGroupConfiguration Methods readsPrec :: Int -> ReadS AutoScalingGroupConfiguration # readList :: ReadS [AutoScalingGroupConfiguration] # readPrec :: ReadPrec AutoScalingGroupConfiguration # readListPrec :: ReadPrec [AutoScalingGroupConfiguration] #
Show AutoScalingGroupConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingGroupConfiguration Methods showsPrec :: Int -> AutoScalingGroupConfiguration -> ShowS # show :: AutoScalingGroupConfiguration -> String # showList :: [AutoScalingGroupConfiguration] -> ShowS #
NFData AutoScalingGroupConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingGroupConfiguration Methods rnf :: AutoScalingGroupConfiguration -> () #
Eq AutoScalingGroupConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingGroupConfiguration Methods (==) :: AutoScalingGroupConfiguration -> AutoScalingGroupConfiguration -> Bool # (/=) :: AutoScalingGroupConfiguration -> AutoScalingGroupConfiguration -> Bool #
Hashable AutoScalingGroupConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingGroupConfiguration Methods hashWithSalt :: Int -> AutoScalingGroupConfiguration -> Int # hash :: AutoScalingGroupConfiguration -> Int #
type Rep AutoScalingGroupConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingGroupConfiguration type Rep AutoScalingGroupConfiguration = D1 ('MetaData "AutoScalingGroupConfiguration" "Amazonka.ComputeOptimizer.Types.AutoScalingGroupConfiguration" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "AutoScalingGroupConfiguration'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "desiredCapacity") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :: S1 ('MetaSel ('Just "instanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "maxSize") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :*: S1 ('MetaSel ('Just "minSize") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)))))

newAutoScalingGroupConfiguration :: AutoScalingGroupConfiguration Source #

Create a value of AutoScalingGroupConfiguration with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:desiredCapacity:AutoScalingGroupConfiguration', autoScalingGroupConfiguration_desiredCapacity - The desired capacity, or number of instances, for the Auto Scaling group.

$sel:instanceType:AutoScalingGroupConfiguration', autoScalingGroupConfiguration_instanceType - The instance type for the Auto Scaling group.

$sel:maxSize:AutoScalingGroupConfiguration', autoScalingGroupConfiguration_maxSize - The maximum size, or maximum number of instances, for the Auto Scaling group.

$sel:minSize:AutoScalingGroupConfiguration', autoScalingGroupConfiguration_minSize - The minimum size, or minimum number of instances, for the Auto Scaling group.

autoScalingGroupConfiguration_desiredCapacity :: Lens' AutoScalingGroupConfiguration (Maybe Int) Source #

The desired capacity, or number of instances, for the Auto Scaling group.

autoScalingGroupConfiguration_instanceType :: Lens' AutoScalingGroupConfiguration (Maybe Text) Source #

The instance type for the Auto Scaling group.

autoScalingGroupConfiguration_maxSize :: Lens' AutoScalingGroupConfiguration (Maybe Int) Source #

The maximum size, or maximum number of instances, for the Auto Scaling group.

autoScalingGroupConfiguration_minSize :: Lens' AutoScalingGroupConfiguration (Maybe Int) Source #

The minimum size, or minimum number of instances, for the Auto Scaling group.

AutoScalingGroupRecommendation

data AutoScalingGroupRecommendation Source #

Describes an Auto Scaling group recommendation.

See: newAutoScalingGroupRecommendation smart constructor.

Constructors

AutoScalingGroupRecommendation'

Fields

accountId :: Maybe Text
The Amazon Web Services account ID of the Auto Scaling group.
autoScalingGroupArn :: Maybe Text
The Amazon Resource Name (ARN) of the Auto Scaling group.
autoScalingGroupName :: Maybe Text
The name of the Auto Scaling group.
currentConfiguration :: Maybe AutoScalingGroupConfiguration
An array of objects that describe the current configuration of the Auto Scaling group.
currentPerformanceRisk :: Maybe CurrentPerformanceRisk
The risk of the current Auto Scaling group not meeting the performance needs of its workloads. The higher the risk, the more likely the current Auto Scaling group configuration has insufficient capacity and cannot meet workload requirements.
effectiveRecommendationPreferences :: Maybe EffectiveRecommendationPreferences
An object that describes the effective recommendation preferences for the Auto Scaling group.
finding :: Maybe Finding
The finding classification of the Auto Scaling group.
Findings for Auto Scaling groups include:
- NotOptimized —An Auto Scaling group is considered not optimized when Compute Optimizer identifies a recommendation that can provide better performance for your workload.
- Optimized —An Auto Scaling group is considered optimized when Compute Optimizer determines that the group is correctly provisioned to run your workload based on the chosen instance type. For optimized resources, Compute Optimizer might recommend a new generation instance type.
inferredWorkloadTypes :: Maybe [InferredWorkloadType]
The applications that might be running on the instances in the Auto Scaling group as inferred by Compute Optimizer.
Compute Optimizer can infer if one of the following applications might be running on the instances:
- AmazonEmr - Infers that Amazon EMR might be running on the instances.
- ApacheCassandra - Infers that Apache Cassandra might be running on the instances.
- ApacheHadoop - Infers that Apache Hadoop might be running on the instances.
- Memcached - Infers that Memcached might be running on the instances.
- NGINX - Infers that NGINX might be running on the instances.
- PostgreSql - Infers that PostgreSQL might be running on the instances.
- Redis - Infers that Redis might be running on the instances.
lastRefreshTimestamp :: Maybe POSIX
The timestamp of when the Auto Scaling group recommendation was last generated.
lookBackPeriodInDays :: Maybe Double
The number of days for which utilization metrics were analyzed for the Auto Scaling group.
recommendationOptions :: Maybe [AutoScalingGroupRecommendationOption]
An array of objects that describe the recommendation options for the Auto Scaling group.
utilizationMetrics :: Maybe [UtilizationMetric]
An array of objects that describe the utilization metrics of the Auto Scaling group.

Instances

Instances details

FromJSON AutoScalingGroupRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingGroupRecommendation Methods parseJSON :: Value -> Parser AutoScalingGroupRecommendation # parseJSONList :: Value -> Parser [AutoScalingGroupRecommendation] #
Generic AutoScalingGroupRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingGroupRecommendation Associated Types type Rep AutoScalingGroupRecommendation :: Type -> Type # Methods from :: AutoScalingGroupRecommendation -> Rep AutoScalingGroupRecommendation x # to :: Rep AutoScalingGroupRecommendation x -> AutoScalingGroupRecommendation #
Read AutoScalingGroupRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingGroupRecommendation Methods readsPrec :: Int -> ReadS AutoScalingGroupRecommendation # readList :: ReadS [AutoScalingGroupRecommendation] # readPrec :: ReadPrec AutoScalingGroupRecommendation # readListPrec :: ReadPrec [AutoScalingGroupRecommendation] #
Show AutoScalingGroupRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingGroupRecommendation Methods showsPrec :: Int -> AutoScalingGroupRecommendation -> ShowS # show :: AutoScalingGroupRecommendation -> String # showList :: [AutoScalingGroupRecommendation] -> ShowS #
NFData AutoScalingGroupRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingGroupRecommendation Methods rnf :: AutoScalingGroupRecommendation -> () #
Eq AutoScalingGroupRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingGroupRecommendation Methods (==) :: AutoScalingGroupRecommendation -> AutoScalingGroupRecommendation -> Bool # (/=) :: AutoScalingGroupRecommendation -> AutoScalingGroupRecommendation -> Bool #
Hashable AutoScalingGroupRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingGroupRecommendation Methods hashWithSalt :: Int -> AutoScalingGroupRecommendation -> Int # hash :: AutoScalingGroupRecommendation -> Int #
type Rep AutoScalingGroupRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingGroupRecommendation type Rep AutoScalingGroupRecommendation = D1 ('MetaData "AutoScalingGroupRecommendation" "Amazonka.ComputeOptimizer.Types.AutoScalingGroupRecommendation" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "AutoScalingGroupRecommendation'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "accountId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "autoScalingGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "autoScalingGroupName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "currentConfiguration") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoScalingGroupConfiguration)) :: (S1 ('MetaSel ('Just "currentPerformanceRisk") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CurrentPerformanceRisk)) :: S1 ('MetaSel ('Just "effectiveRecommendationPreferences") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EffectiveRecommendationPreferences))))) :: ((S1 ('MetaSel ('Just "finding") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Finding)) :: (S1 ('MetaSel ('Just "inferredWorkloadTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [InferredWorkloadType])) :: S1 ('MetaSel ('Just "lastRefreshTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))) :: (S1 ('MetaSel ('Just "lookBackPeriodInDays") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: (S1 ('MetaSel ('Just "recommendationOptions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [AutoScalingGroupRecommendationOption])) :*: S1 ('MetaSel ('Just "utilizationMetrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [UtilizationMetric])))))))

newAutoScalingGroupRecommendation :: AutoScalingGroupRecommendation Source #

Create a value of AutoScalingGroupRecommendation with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:accountId:AutoScalingGroupRecommendation', autoScalingGroupRecommendation_accountId - The Amazon Web Services account ID of the Auto Scaling group.

$sel:autoScalingGroupArn:AutoScalingGroupRecommendation', autoScalingGroupRecommendation_autoScalingGroupArn - The Amazon Resource Name (ARN) of the Auto Scaling group.

$sel:autoScalingGroupName:AutoScalingGroupRecommendation', autoScalingGroupRecommendation_autoScalingGroupName - The name of the Auto Scaling group.

$sel:currentConfiguration:AutoScalingGroupRecommendation', autoScalingGroupRecommendation_currentConfiguration - An array of objects that describe the current configuration of the Auto Scaling group.

$sel:currentPerformanceRisk:AutoScalingGroupRecommendation', autoScalingGroupRecommendation_currentPerformanceRisk - The risk of the current Auto Scaling group not meeting the performance needs of its workloads. The higher the risk, the more likely the current Auto Scaling group configuration has insufficient capacity and cannot meet workload requirements.

$sel:effectiveRecommendationPreferences:AutoScalingGroupRecommendation', autoScalingGroupRecommendation_effectiveRecommendationPreferences - An object that describes the effective recommendation preferences for the Auto Scaling group.

$sel:finding:AutoScalingGroupRecommendation', autoScalingGroupRecommendation_finding - The finding classification of the Auto Scaling group.

Findings for Auto Scaling groups include:

NotOptimized —An Auto Scaling group is considered not optimized when Compute Optimizer identifies a recommendation that can provide better performance for your workload.
Optimized —An Auto Scaling group is considered optimized when Compute Optimizer determines that the group is correctly provisioned to run your workload based on the chosen instance type. For optimized resources, Compute Optimizer might recommend a new generation instance type.

AutoScalingGroupRecommendation, autoScalingGroupRecommendation_inferredWorkloadTypes - The applications that might be running on the instances in the Auto Scaling group as inferred by Compute Optimizer.

Compute Optimizer can infer if one of the following applications might be running on the instances:

AmazonEmr - Infers that Amazon EMR might be running on the instances.
ApacheCassandra - Infers that Apache Cassandra might be running on the instances.
ApacheHadoop - Infers that Apache Hadoop might be running on the instances.
Memcached - Infers that Memcached might be running on the instances.
NGINX - Infers that NGINX might be running on the instances.
PostgreSql - Infers that PostgreSQL might be running on the instances.
Redis - Infers that Redis might be running on the instances.

$sel:lastRefreshTimestamp:AutoScalingGroupRecommendation', autoScalingGroupRecommendation_lastRefreshTimestamp - The timestamp of when the Auto Scaling group recommendation was last generated.

$sel:lookBackPeriodInDays:AutoScalingGroupRecommendation', autoScalingGroupRecommendation_lookBackPeriodInDays - The number of days for which utilization metrics were analyzed for the Auto Scaling group.

$sel:recommendationOptions:AutoScalingGroupRecommendation', autoScalingGroupRecommendation_recommendationOptions - An array of objects that describe the recommendation options for the Auto Scaling group.

$sel:utilizationMetrics:AutoScalingGroupRecommendation', autoScalingGroupRecommendation_utilizationMetrics - An array of objects that describe the utilization metrics of the Auto Scaling group.

autoScalingGroupRecommendation_accountId :: Lens' AutoScalingGroupRecommendation (Maybe Text) Source #

The Amazon Web Services account ID of the Auto Scaling group.

autoScalingGroupRecommendation_autoScalingGroupArn :: Lens' AutoScalingGroupRecommendation (Maybe Text) Source #

The Amazon Resource Name (ARN) of the Auto Scaling group.

autoScalingGroupRecommendation_autoScalingGroupName :: Lens' AutoScalingGroupRecommendation (Maybe Text) Source #

The name of the Auto Scaling group.

autoScalingGroupRecommendation_currentConfiguration :: Lens' AutoScalingGroupRecommendation (Maybe AutoScalingGroupConfiguration) Source #

An array of objects that describe the current configuration of the Auto Scaling group.

autoScalingGroupRecommendation_currentPerformanceRisk :: Lens' AutoScalingGroupRecommendation (Maybe CurrentPerformanceRisk) Source #

The risk of the current Auto Scaling group not meeting the performance needs of its workloads. The higher the risk, the more likely the current Auto Scaling group configuration has insufficient capacity and cannot meet workload requirements.

autoScalingGroupRecommendation_effectiveRecommendationPreferences :: Lens' AutoScalingGroupRecommendation (Maybe EffectiveRecommendationPreferences) Source #

An object that describes the effective recommendation preferences for the Auto Scaling group.

autoScalingGroupRecommendation_finding :: Lens' AutoScalingGroupRecommendation (Maybe Finding) Source #

The finding classification of the Auto Scaling group.

Findings for Auto Scaling groups include:

NotOptimized —An Auto Scaling group is considered not optimized when Compute Optimizer identifies a recommendation that can provide better performance for your workload.
Optimized —An Auto Scaling group is considered optimized when Compute Optimizer determines that the group is correctly provisioned to run your workload based on the chosen instance type. For optimized resources, Compute Optimizer might recommend a new generation instance type.

autoScalingGroupRecommendation_inferredWorkloadTypes :: Lens' AutoScalingGroupRecommendation (Maybe [InferredWorkloadType]) Source #

The applications that might be running on the instances in the Auto Scaling group as inferred by Compute Optimizer.

Compute Optimizer can infer if one of the following applications might be running on the instances:

AmazonEmr - Infers that Amazon EMR might be running on the instances.
ApacheCassandra - Infers that Apache Cassandra might be running on the instances.
ApacheHadoop - Infers that Apache Hadoop might be running on the instances.
Memcached - Infers that Memcached might be running on the instances.
NGINX - Infers that NGINX might be running on the instances.
PostgreSql - Infers that PostgreSQL might be running on the instances.
Redis - Infers that Redis might be running on the instances.

autoScalingGroupRecommendation_lastRefreshTimestamp :: Lens' AutoScalingGroupRecommendation (Maybe UTCTime) Source #

The timestamp of when the Auto Scaling group recommendation was last generated.

autoScalingGroupRecommendation_lookBackPeriodInDays :: Lens' AutoScalingGroupRecommendation (Maybe Double) Source #

The number of days for which utilization metrics were analyzed for the Auto Scaling group.

autoScalingGroupRecommendation_recommendationOptions :: Lens' AutoScalingGroupRecommendation (Maybe [AutoScalingGroupRecommendationOption]) Source #

An array of objects that describe the recommendation options for the Auto Scaling group.

autoScalingGroupRecommendation_utilizationMetrics :: Lens' AutoScalingGroupRecommendation (Maybe [UtilizationMetric]) Source #

An array of objects that describe the utilization metrics of the Auto Scaling group.

AutoScalingGroupRecommendationOption

data AutoScalingGroupRecommendationOption Source #

Describes a recommendation option for an Auto Scaling group.

See: newAutoScalingGroupRecommendationOption smart constructor.

Constructors

AutoScalingGroupRecommendationOption'

Fields

configuration :: Maybe AutoScalingGroupConfiguration
An array of objects that describe an Auto Scaling group configuration.
migrationEffort :: Maybe MigrationEffort
The level of effort required to migrate from the current instance type to the recommended instance type.
For example, the migration effort is Low if Amazon EMR is the inferred workload type and an Amazon Web Services Graviton instance type is recommended. The migration effort is Medium if a workload type couldn't be inferred but an Amazon Web Services Graviton instance type is recommended. The migration effort is VeryLow if both the current and recommended instance types are of the same CPU architecture.
performanceRisk :: Maybe Double
The performance risk of the Auto Scaling group configuration recommendation.
Performance risk indicates the likelihood of the recommended instance type not meeting the resource needs of your workload. Compute Optimizer calculates an individual performance risk score for each specification of the recommended instance, including CPU, memory, EBS throughput, EBS IOPS, disk throughput, disk IOPS, network throughput, and network PPS. The performance risk of the recommended instance is calculated as the maximum performance risk score across the analyzed resource specifications.
The value ranges from 0 - 4, with 0 meaning that the recommended resource is predicted to always provide enough hardware capability. The higher the performance risk is, the more likely you should validate whether the recommendation will meet the performance requirements of your workload before migrating your resource.
projectedUtilizationMetrics :: Maybe [UtilizationMetric]
An array of objects that describe the projected utilization metrics of the Auto Scaling group recommendation option.
The Cpu and Memory metrics are the only projected utilization metrics returned. Additionally, the Memory metric is returned only for resources that have the unified CloudWatch agent installed on them. For more information, see Enabling Memory Utilization with the CloudWatch Agent.
rank :: Maybe Int
The rank of the Auto Scaling group recommendation option.
The top recommendation option is ranked as 1.
savingsOpportunity :: Maybe SavingsOpportunity
An object that describes the savings opportunity for the Auto Scaling group recommendation option. Savings opportunity includes the estimated monthly savings amount and percentage.

Instances

Instances details

FromJSON AutoScalingGroupRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingGroupRecommendationOption Methods parseJSON :: Value -> Parser AutoScalingGroupRecommendationOption # parseJSONList :: Value -> Parser [AutoScalingGroupRecommendationOption] #
Generic AutoScalingGroupRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingGroupRecommendationOption Associated Types type Rep AutoScalingGroupRecommendationOption :: Type -> Type # Methods from :: AutoScalingGroupRecommendationOption -> Rep AutoScalingGroupRecommendationOption x # to :: Rep AutoScalingGroupRecommendationOption x -> AutoScalingGroupRecommendationOption #
Read AutoScalingGroupRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingGroupRecommendationOption Methods readsPrec :: Int -> ReadS AutoScalingGroupRecommendationOption # readList :: ReadS [AutoScalingGroupRecommendationOption] # readPrec :: ReadPrec AutoScalingGroupRecommendationOption # readListPrec :: ReadPrec [AutoScalingGroupRecommendationOption] #
Show AutoScalingGroupRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingGroupRecommendationOption Methods showsPrec :: Int -> AutoScalingGroupRecommendationOption -> ShowS # show :: AutoScalingGroupRecommendationOption -> String # showList :: [AutoScalingGroupRecommendationOption] -> ShowS #
NFData AutoScalingGroupRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingGroupRecommendationOption Methods rnf :: AutoScalingGroupRecommendationOption -> () #
Eq AutoScalingGroupRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingGroupRecommendationOption Methods (==) :: AutoScalingGroupRecommendationOption -> AutoScalingGroupRecommendationOption -> Bool # (/=) :: AutoScalingGroupRecommendationOption -> AutoScalingGroupRecommendationOption -> Bool #
Hashable AutoScalingGroupRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingGroupRecommendationOption Methods hashWithSalt :: Int -> AutoScalingGroupRecommendationOption -> Int # hash :: AutoScalingGroupRecommendationOption -> Int #
type Rep AutoScalingGroupRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.AutoScalingGroupRecommendationOption type Rep AutoScalingGroupRecommendationOption = D1 ('MetaData "AutoScalingGroupRecommendationOption" "Amazonka.ComputeOptimizer.Types.AutoScalingGroupRecommendationOption" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "AutoScalingGroupRecommendationOption'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "configuration") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoScalingGroupConfiguration)) :: (S1 ('MetaSel ('Just "migrationEffort") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MigrationEffort)) :: S1 ('MetaSel ('Just "performanceRisk") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))) :: (S1 ('MetaSel ('Just "projectedUtilizationMetrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [UtilizationMetric])) :: (S1 ('MetaSel ('Just "rank") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :*: S1 ('MetaSel ('Just "savingsOpportunity") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe SavingsOpportunity))))))

newAutoScalingGroupRecommendationOption :: AutoScalingGroupRecommendationOption Source #

Create a value of AutoScalingGroupRecommendationOption with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:configuration:AutoScalingGroupRecommendationOption', autoScalingGroupRecommendationOption_configuration - An array of objects that describe an Auto Scaling group configuration.

$sel:migrationEffort:AutoScalingGroupRecommendationOption', autoScalingGroupRecommendationOption_migrationEffort - The level of effort required to migrate from the current instance type to the recommended instance type.

For example, the migration effort is Low if Amazon EMR is the inferred workload type and an Amazon Web Services Graviton instance type is recommended. The migration effort is Medium if a workload type couldn't be inferred but an Amazon Web Services Graviton instance type is recommended. The migration effort is VeryLow if both the current and recommended instance types are of the same CPU architecture.

$sel:performanceRisk:AutoScalingGroupRecommendationOption', autoScalingGroupRecommendationOption_performanceRisk - The performance risk of the Auto Scaling group configuration recommendation.

Performance risk indicates the likelihood of the recommended instance type not meeting the resource needs of your workload. Compute Optimizer calculates an individual performance risk score for each specification of the recommended instance, including CPU, memory, EBS throughput, EBS IOPS, disk throughput, disk IOPS, network throughput, and network PPS. The performance risk of the recommended instance is calculated as the maximum performance risk score across the analyzed resource specifications.

The value ranges from 0 - 4, with 0 meaning that the recommended resource is predicted to always provide enough hardware capability. The higher the performance risk is, the more likely you should validate whether the recommendation will meet the performance requirements of your workload before migrating your resource.

$sel:projectedUtilizationMetrics:AutoScalingGroupRecommendationOption', autoScalingGroupRecommendationOption_projectedUtilizationMetrics - An array of objects that describe the projected utilization metrics of the Auto Scaling group recommendation option.

The Cpu and Memory metrics are the only projected utilization metrics returned. Additionally, the Memory metric is returned only for resources that have the unified CloudWatch agent installed on them. For more information, see Enabling Memory Utilization with the CloudWatch Agent.

$sel:rank:AutoScalingGroupRecommendationOption', autoScalingGroupRecommendationOption_rank - The rank of the Auto Scaling group recommendation option.

The top recommendation option is ranked as 1.

$sel:savingsOpportunity:AutoScalingGroupRecommendationOption', autoScalingGroupRecommendationOption_savingsOpportunity - An object that describes the savings opportunity for the Auto Scaling group recommendation option. Savings opportunity includes the estimated monthly savings amount and percentage.

autoScalingGroupRecommendationOption_configuration :: Lens' AutoScalingGroupRecommendationOption (Maybe AutoScalingGroupConfiguration) Source #

An array of objects that describe an Auto Scaling group configuration.

autoScalingGroupRecommendationOption_migrationEffort :: Lens' AutoScalingGroupRecommendationOption (Maybe MigrationEffort) Source #

The level of effort required to migrate from the current instance type to the recommended instance type.

For example, the migration effort is Low if Amazon EMR is the inferred workload type and an Amazon Web Services Graviton instance type is recommended. The migration effort is Medium if a workload type couldn't be inferred but an Amazon Web Services Graviton instance type is recommended. The migration effort is VeryLow if both the current and recommended instance types are of the same CPU architecture.

autoScalingGroupRecommendationOption_performanceRisk :: Lens' AutoScalingGroupRecommendationOption (Maybe Double) Source #

The performance risk of the Auto Scaling group configuration recommendation.

Performance risk indicates the likelihood of the recommended instance type not meeting the resource needs of your workload. Compute Optimizer calculates an individual performance risk score for each specification of the recommended instance, including CPU, memory, EBS throughput, EBS IOPS, disk throughput, disk IOPS, network throughput, and network PPS. The performance risk of the recommended instance is calculated as the maximum performance risk score across the analyzed resource specifications.

The value ranges from 0 - 4, with 0 meaning that the recommended resource is predicted to always provide enough hardware capability. The higher the performance risk is, the more likely you should validate whether the recommendation will meet the performance requirements of your workload before migrating your resource.

autoScalingGroupRecommendationOption_projectedUtilizationMetrics :: Lens' AutoScalingGroupRecommendationOption (Maybe [UtilizationMetric]) Source #

An array of objects that describe the projected utilization metrics of the Auto Scaling group recommendation option.

The Cpu and Memory metrics are the only projected utilization metrics returned. Additionally, the Memory metric is returned only for resources that have the unified CloudWatch agent installed on them. For more information, see Enabling Memory Utilization with the CloudWatch Agent.

autoScalingGroupRecommendationOption_rank :: Lens' AutoScalingGroupRecommendationOption (Maybe Int) Source #

The rank of the Auto Scaling group recommendation option.

The top recommendation option is ranked as 1.

autoScalingGroupRecommendationOption_savingsOpportunity :: Lens' AutoScalingGroupRecommendationOption (Maybe SavingsOpportunity) Source #

An object that describes the savings opportunity for the Auto Scaling group recommendation option. Savings opportunity includes the estimated monthly savings amount and percentage.

ContainerConfiguration

data ContainerConfiguration Source #

Describes the container configurations within the tasks of your Amazon ECS service.

See: newContainerConfiguration smart constructor.

Constructors

ContainerConfiguration'
Fields containerName :: Maybe Text The name of the container. cpu :: Maybe Int The number of CPU units reserved for the container. memorySizeConfiguration :: Maybe MemorySizeConfiguration The memory size configurations for the container.

Instances

Instances details

FromJSON ContainerConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ContainerConfiguration Methods parseJSON :: Value -> Parser ContainerConfiguration # parseJSONList :: Value -> Parser [ContainerConfiguration] #
Generic ContainerConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ContainerConfiguration Associated Types type Rep ContainerConfiguration :: Type -> Type # Methods from :: ContainerConfiguration -> Rep ContainerConfiguration x # to :: Rep ContainerConfiguration x -> ContainerConfiguration #
Read ContainerConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ContainerConfiguration Methods readsPrec :: Int -> ReadS ContainerConfiguration # readList :: ReadS [ContainerConfiguration] # readPrec :: ReadPrec ContainerConfiguration # readListPrec :: ReadPrec [ContainerConfiguration] #
Show ContainerConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ContainerConfiguration Methods showsPrec :: Int -> ContainerConfiguration -> ShowS # show :: ContainerConfiguration -> String # showList :: [ContainerConfiguration] -> ShowS #
NFData ContainerConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ContainerConfiguration Methods rnf :: ContainerConfiguration -> () #
Eq ContainerConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ContainerConfiguration Methods (==) :: ContainerConfiguration -> ContainerConfiguration -> Bool # (/=) :: ContainerConfiguration -> ContainerConfiguration -> Bool #
Hashable ContainerConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ContainerConfiguration Methods hashWithSalt :: Int -> ContainerConfiguration -> Int # hash :: ContainerConfiguration -> Int #
type Rep ContainerConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ContainerConfiguration type Rep ContainerConfiguration = D1 ('MetaData "ContainerConfiguration" "Amazonka.ComputeOptimizer.Types.ContainerConfiguration" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "ContainerConfiguration'" 'PrefixI 'True) (S1 ('MetaSel ('Just "containerName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "cpu") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :: S1 ('MetaSel ('Just "memorySizeConfiguration") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MemorySizeConfiguration)))))

newContainerConfiguration :: ContainerConfiguration Source #

Create a value of ContainerConfiguration with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:containerName:ContainerConfiguration', containerConfiguration_containerName - The name of the container.

$sel:cpu:ContainerConfiguration', containerConfiguration_cpu - The number of CPU units reserved for the container.

$sel:memorySizeConfiguration:ContainerConfiguration', containerConfiguration_memorySizeConfiguration - The memory size configurations for the container.

containerConfiguration_containerName :: Lens' ContainerConfiguration (Maybe Text) Source #

The name of the container.

containerConfiguration_cpu :: Lens' ContainerConfiguration (Maybe Int) Source #

The number of CPU units reserved for the container.

containerConfiguration_memorySizeConfiguration :: Lens' ContainerConfiguration (Maybe MemorySizeConfiguration) Source #

The memory size configurations for the container.

ContainerRecommendation

data ContainerRecommendation Source #

The CPU and memory recommendations for a container within the tasks of your Amazon ECS service.

See: newContainerRecommendation smart constructor.

Constructors

ContainerRecommendation'
Fields containerName :: Maybe Text The name of the container. cpu :: Maybe Int The recommended number of CPU units reserved for the container. memorySizeConfiguration :: Maybe MemorySizeConfiguration The recommended memory size configurations for the container.

Instances

Instances details

FromJSON ContainerRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ContainerRecommendation Methods parseJSON :: Value -> Parser ContainerRecommendation # parseJSONList :: Value -> Parser [ContainerRecommendation] #
Generic ContainerRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ContainerRecommendation Associated Types type Rep ContainerRecommendation :: Type -> Type # Methods from :: ContainerRecommendation -> Rep ContainerRecommendation x # to :: Rep ContainerRecommendation x -> ContainerRecommendation #
Read ContainerRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ContainerRecommendation Methods readsPrec :: Int -> ReadS ContainerRecommendation # readList :: ReadS [ContainerRecommendation] # readPrec :: ReadPrec ContainerRecommendation # readListPrec :: ReadPrec [ContainerRecommendation] #
Show ContainerRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ContainerRecommendation Methods showsPrec :: Int -> ContainerRecommendation -> ShowS # show :: ContainerRecommendation -> String # showList :: [ContainerRecommendation] -> ShowS #
NFData ContainerRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ContainerRecommendation Methods rnf :: ContainerRecommendation -> () #
Eq ContainerRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ContainerRecommendation Methods (==) :: ContainerRecommendation -> ContainerRecommendation -> Bool # (/=) :: ContainerRecommendation -> ContainerRecommendation -> Bool #
Hashable ContainerRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ContainerRecommendation Methods hashWithSalt :: Int -> ContainerRecommendation -> Int # hash :: ContainerRecommendation -> Int #
type Rep ContainerRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ContainerRecommendation type Rep ContainerRecommendation = D1 ('MetaData "ContainerRecommendation" "Amazonka.ComputeOptimizer.Types.ContainerRecommendation" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "ContainerRecommendation'" 'PrefixI 'True) (S1 ('MetaSel ('Just "containerName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "cpu") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :: S1 ('MetaSel ('Just "memorySizeConfiguration") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MemorySizeConfiguration)))))

newContainerRecommendation :: ContainerRecommendation Source #

Create a value of ContainerRecommendation with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:containerName:ContainerRecommendation', containerRecommendation_containerName - The name of the container.

$sel:cpu:ContainerRecommendation', containerRecommendation_cpu - The recommended number of CPU units reserved for the container.

$sel:memorySizeConfiguration:ContainerRecommendation', containerRecommendation_memorySizeConfiguration - The recommended memory size configurations for the container.

containerRecommendation_containerName :: Lens' ContainerRecommendation (Maybe Text) Source #

The name of the container.

containerRecommendation_cpu :: Lens' ContainerRecommendation (Maybe Int) Source #

The recommended number of CPU units reserved for the container.

containerRecommendation_memorySizeConfiguration :: Lens' ContainerRecommendation (Maybe MemorySizeConfiguration) Source #

The recommended memory size configurations for the container.

CurrentPerformanceRiskRatings

data CurrentPerformanceRiskRatings Source #

Describes the performance risk ratings for a given resource type.

Resources with a high or medium rating are at risk of not meeting the performance needs of their workloads, while resources with a low rating are performing well in their workloads.

See: newCurrentPerformanceRiskRatings smart constructor.

Constructors

CurrentPerformanceRiskRatings'

Fields

high :: Maybe Integer
A count of the applicable resource types with a high performance risk rating.
low :: Maybe Integer
A count of the applicable resource types with a low performance risk rating.
medium :: Maybe Integer
A count of the applicable resource types with a medium performance risk rating.
veryLow :: Maybe Integer
A count of the applicable resource types with a very low performance risk rating.

Instances

Instances details

FromJSON CurrentPerformanceRiskRatings Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CurrentPerformanceRiskRatings Methods parseJSON :: Value -> Parser CurrentPerformanceRiskRatings # parseJSONList :: Value -> Parser [CurrentPerformanceRiskRatings] #
Generic CurrentPerformanceRiskRatings Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CurrentPerformanceRiskRatings Associated Types type Rep CurrentPerformanceRiskRatings :: Type -> Type # Methods from :: CurrentPerformanceRiskRatings -> Rep CurrentPerformanceRiskRatings x # to :: Rep CurrentPerformanceRiskRatings x -> CurrentPerformanceRiskRatings #
Read CurrentPerformanceRiskRatings Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CurrentPerformanceRiskRatings Methods readsPrec :: Int -> ReadS CurrentPerformanceRiskRatings # readList :: ReadS [CurrentPerformanceRiskRatings] # readPrec :: ReadPrec CurrentPerformanceRiskRatings # readListPrec :: ReadPrec [CurrentPerformanceRiskRatings] #
Show CurrentPerformanceRiskRatings Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CurrentPerformanceRiskRatings Methods showsPrec :: Int -> CurrentPerformanceRiskRatings -> ShowS # show :: CurrentPerformanceRiskRatings -> String # showList :: [CurrentPerformanceRiskRatings] -> ShowS #
NFData CurrentPerformanceRiskRatings Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CurrentPerformanceRiskRatings Methods rnf :: CurrentPerformanceRiskRatings -> () #
Eq CurrentPerformanceRiskRatings Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CurrentPerformanceRiskRatings Methods (==) :: CurrentPerformanceRiskRatings -> CurrentPerformanceRiskRatings -> Bool # (/=) :: CurrentPerformanceRiskRatings -> CurrentPerformanceRiskRatings -> Bool #
Hashable CurrentPerformanceRiskRatings Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CurrentPerformanceRiskRatings Methods hashWithSalt :: Int -> CurrentPerformanceRiskRatings -> Int # hash :: CurrentPerformanceRiskRatings -> Int #
type Rep CurrentPerformanceRiskRatings Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.CurrentPerformanceRiskRatings type Rep CurrentPerformanceRiskRatings = D1 ('MetaData "CurrentPerformanceRiskRatings" "Amazonka.ComputeOptimizer.Types.CurrentPerformanceRiskRatings" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "CurrentPerformanceRiskRatings'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "high") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer)) :: S1 ('MetaSel ('Just "low") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer))) :: (S1 ('MetaSel ('Just "medium") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer)) :*: S1 ('MetaSel ('Just "veryLow") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer)))))

newCurrentPerformanceRiskRatings :: CurrentPerformanceRiskRatings Source #

Create a value of CurrentPerformanceRiskRatings with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:high:CurrentPerformanceRiskRatings', currentPerformanceRiskRatings_high - A count of the applicable resource types with a high performance risk rating.

$sel:low:CurrentPerformanceRiskRatings', currentPerformanceRiskRatings_low - A count of the applicable resource types with a low performance risk rating.

$sel:medium:CurrentPerformanceRiskRatings', currentPerformanceRiskRatings_medium - A count of the applicable resource types with a medium performance risk rating.

$sel:veryLow:CurrentPerformanceRiskRatings', currentPerformanceRiskRatings_veryLow - A count of the applicable resource types with a very low performance risk rating.

currentPerformanceRiskRatings_high :: Lens' CurrentPerformanceRiskRatings (Maybe Integer) Source #

A count of the applicable resource types with a high performance risk rating.

currentPerformanceRiskRatings_low :: Lens' CurrentPerformanceRiskRatings (Maybe Integer) Source #

A count of the applicable resource types with a low performance risk rating.

currentPerformanceRiskRatings_medium :: Lens' CurrentPerformanceRiskRatings (Maybe Integer) Source #

A count of the applicable resource types with a medium performance risk rating.

currentPerformanceRiskRatings_veryLow :: Lens' CurrentPerformanceRiskRatings (Maybe Integer) Source #

A count of the applicable resource types with a very low performance risk rating.

EBSFilter

data EBSFilter Source #

Describes a filter that returns a more specific list of Amazon Elastic Block Store (Amazon EBS) volume recommendations. Use this filter with the GetEBSVolumeRecommendations action.

You can use LambdaFunctionRecommendationFilter with the GetLambdaFunctionRecommendations action, JobFilter with the DescribeRecommendationExportJobs action, and Filter with the GetAutoScalingGroupRecommendations and GetEC2InstanceRecommendations actions.

See: newEBSFilter smart constructor.

Constructors

EBSFilter'
Fields name :: Maybe EBSFilterName The name of the filter. Specify `Finding` to return recommendations with a specific finding classification (for example, `NotOptimized`). values :: Maybe [Text] The value of the filter. The valid values are `Optimized`, or `NotOptimized`.

Instances

Instances details

ToJSON EBSFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFilter Methods toJSON :: EBSFilter -> Value # toEncoding :: EBSFilter -> Encoding # toJSONList :: [EBSFilter] -> Value # toEncodingList :: [EBSFilter] -> Encoding #
Generic EBSFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFilter Associated Types type Rep EBSFilter :: Type -> Type # Methods from :: EBSFilter -> Rep EBSFilter x # to :: Rep EBSFilter x -> EBSFilter #
Read EBSFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFilter Methods readsPrec :: Int -> ReadS EBSFilter # readList :: ReadS [EBSFilter] # readPrec :: ReadPrec EBSFilter # readListPrec :: ReadPrec [EBSFilter] #
Show EBSFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFilter Methods showsPrec :: Int -> EBSFilter -> ShowS # show :: EBSFilter -> String # showList :: [EBSFilter] -> ShowS #
NFData EBSFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFilter Methods rnf :: EBSFilter -> () #
Eq EBSFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFilter Methods (==) :: EBSFilter -> EBSFilter -> Bool # (/=) :: EBSFilter -> EBSFilter -> Bool #
Hashable EBSFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFilter Methods hashWithSalt :: Int -> EBSFilter -> Int # hash :: EBSFilter -> Int #
type Rep EBSFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSFilter type Rep EBSFilter = D1 ('MetaData "EBSFilter" "Amazonka.ComputeOptimizer.Types.EBSFilter" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "EBSFilter'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EBSFilterName)) :*: S1 ('MetaSel ('Just "values") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text]))))

newEBSFilter :: EBSFilter Source #

Create a value of EBSFilter with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:name:EBSFilter', eBSFilter_name - The name of the filter.

Specify Finding to return recommendations with a specific finding classification (for example, NotOptimized).

$sel:values:EBSFilter', eBSFilter_values - The value of the filter.

The valid values are Optimized, or NotOptimized.

eBSFilter_name :: Lens' EBSFilter (Maybe EBSFilterName) Source #

The name of the filter.

Specify Finding to return recommendations with a specific finding classification (for example, NotOptimized).

eBSFilter_values :: Lens' EBSFilter (Maybe [Text]) Source #

The value of the filter.

The valid values are Optimized, or NotOptimized.

EBSUtilizationMetric

data EBSUtilizationMetric Source #

Describes a utilization metric of an Amazon Elastic Block Store (Amazon EBS) volume.

Compare the utilization metric data of your resource against its projected utilization metric data to determine the performance difference between your current resource and the recommended option.

See: newEBSUtilizationMetric smart constructor.

Constructors

EBSUtilizationMetric'

Fields

name :: Maybe EBSMetricName
The name of the utilization metric.
The following utilization metrics are available:
- VolumeReadOpsPerSecond - The completed read operations per second from the volume in a specified period of time.
  Unit: Count
- VolumeWriteOpsPerSecond - The completed write operations per second to the volume in a specified period of time.
  Unit: Count
- VolumeReadBytesPerSecond - The bytes read per second from the volume in a specified period of time.
  Unit: Bytes
- VolumeWriteBytesPerSecond - The bytes written to the volume in a specified period of time.
  Unit: Bytes
statistic :: Maybe MetricStatistic
The statistic of the utilization metric.
The Compute Optimizer API, Command Line Interface (CLI), and SDKs return utilization metrics using only the Maximum statistic, which is the highest value observed during the specified period.
The Compute Optimizer console displays graphs for some utilization metrics using the Average statistic, which is the value of Sum / SampleCount during the specified period. For more information, see Viewing resource recommendations in the Compute Optimizer User Guide. You can also get averaged utilization metric data for your resources using Amazon CloudWatch. For more information, see the Amazon CloudWatch User Guide.
value :: Maybe Double
The value of the utilization metric.

Instances

Instances details

FromJSON EBSUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSUtilizationMetric Methods parseJSON :: Value -> Parser EBSUtilizationMetric # parseJSONList :: Value -> Parser [EBSUtilizationMetric] #
Generic EBSUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSUtilizationMetric Associated Types type Rep EBSUtilizationMetric :: Type -> Type # Methods from :: EBSUtilizationMetric -> Rep EBSUtilizationMetric x # to :: Rep EBSUtilizationMetric x -> EBSUtilizationMetric #
Read EBSUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSUtilizationMetric Methods readsPrec :: Int -> ReadS EBSUtilizationMetric # readList :: ReadS [EBSUtilizationMetric] # readPrec :: ReadPrec EBSUtilizationMetric # readListPrec :: ReadPrec [EBSUtilizationMetric] #
Show EBSUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSUtilizationMetric Methods showsPrec :: Int -> EBSUtilizationMetric -> ShowS # show :: EBSUtilizationMetric -> String # showList :: [EBSUtilizationMetric] -> ShowS #
NFData EBSUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSUtilizationMetric Methods rnf :: EBSUtilizationMetric -> () #
Eq EBSUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSUtilizationMetric Methods (==) :: EBSUtilizationMetric -> EBSUtilizationMetric -> Bool # (/=) :: EBSUtilizationMetric -> EBSUtilizationMetric -> Bool #
Hashable EBSUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSUtilizationMetric Methods hashWithSalt :: Int -> EBSUtilizationMetric -> Int # hash :: EBSUtilizationMetric -> Int #
type Rep EBSUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EBSUtilizationMetric type Rep EBSUtilizationMetric = D1 ('MetaData "EBSUtilizationMetric" "Amazonka.ComputeOptimizer.Types.EBSUtilizationMetric" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "EBSUtilizationMetric'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EBSMetricName)) :: (S1 ('MetaSel ('Just "statistic") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MetricStatistic)) :: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))))

newEBSUtilizationMetric :: EBSUtilizationMetric Source #

Create a value of EBSUtilizationMetric with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:name:EBSUtilizationMetric', eBSUtilizationMetric_name - The name of the utilization metric.

The following utilization metrics are available:

VolumeReadOpsPerSecond - The completed read operations per second from the volume in a specified period of time.
Unit: Count
VolumeWriteOpsPerSecond - The completed write operations per second to the volume in a specified period of time.
Unit: Count
VolumeReadBytesPerSecond - The bytes read per second from the volume in a specified period of time.
Unit: Bytes
VolumeWriteBytesPerSecond - The bytes written to the volume in a specified period of time.
Unit: Bytes

$sel:statistic:EBSUtilizationMetric', eBSUtilizationMetric_statistic - The statistic of the utilization metric.

The Compute Optimizer API, Command Line Interface (CLI), and SDKs return utilization metrics using only the Maximum statistic, which is the highest value observed during the specified period.

The Compute Optimizer console displays graphs for some utilization metrics using the Average statistic, which is the value of Sum / SampleCount during the specified period. For more information, see Viewing resource recommendations in the Compute Optimizer User Guide. You can also get averaged utilization metric data for your resources using Amazon CloudWatch. For more information, see the Amazon CloudWatch User Guide.

$sel:value:EBSUtilizationMetric', eBSUtilizationMetric_value - The value of the utilization metric.

eBSUtilizationMetric_name :: Lens' EBSUtilizationMetric (Maybe EBSMetricName) Source #

The name of the utilization metric.

The following utilization metrics are available:

VolumeReadOpsPerSecond - The completed read operations per second from the volume in a specified period of time.
Unit: Count
VolumeWriteOpsPerSecond - The completed write operations per second to the volume in a specified period of time.
Unit: Count
VolumeReadBytesPerSecond - The bytes read per second from the volume in a specified period of time.
Unit: Bytes
VolumeWriteBytesPerSecond - The bytes written to the volume in a specified period of time.
Unit: Bytes

eBSUtilizationMetric_statistic :: Lens' EBSUtilizationMetric (Maybe MetricStatistic) Source #

The statistic of the utilization metric.

The Compute Optimizer API, Command Line Interface (CLI), and SDKs return utilization metrics using only the Maximum statistic, which is the highest value observed during the specified period.

The Compute Optimizer console displays graphs for some utilization metrics using the Average statistic, which is the value of Sum / SampleCount during the specified period. For more information, see Viewing resource recommendations in the Compute Optimizer User Guide. You can also get averaged utilization metric data for your resources using Amazon CloudWatch. For more information, see the Amazon CloudWatch User Guide.

eBSUtilizationMetric_value :: Lens' EBSUtilizationMetric (Maybe Double) Source #

The value of the utilization metric.

ECSServiceProjectedMetric

data ECSServiceProjectedMetric Source #

Describes the projected metrics of an Amazon ECS service recommendation option.

To determine the performance difference between your current ECS service and the recommended option, compare the metric data of your service against its projected metric data.

See: newECSServiceProjectedMetric smart constructor.

Constructors

ECSServiceProjectedMetric'

Fields

lowerBoundValues :: Maybe [Double]
The lower bound values for the projected metric.
name :: Maybe ECSServiceMetricName
The name of the projected metric.
The following metrics are available:
- CPU — The percentage of allocated compute units that are currently in use on the ECS service tasks.
- Memory — The percentage of memory that is currently in use on the ECS service tasks.
timestamps :: Maybe [POSIX]
The timestamps of the projected metric.
upperBoundValues :: Maybe [Double]
The upper bound values for the projected metric.

Instances

Instances details

FromJSON ECSServiceProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceProjectedMetric Methods parseJSON :: Value -> Parser ECSServiceProjectedMetric # parseJSONList :: Value -> Parser [ECSServiceProjectedMetric] #
Generic ECSServiceProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceProjectedMetric Associated Types type Rep ECSServiceProjectedMetric :: Type -> Type # Methods from :: ECSServiceProjectedMetric -> Rep ECSServiceProjectedMetric x # to :: Rep ECSServiceProjectedMetric x -> ECSServiceProjectedMetric #
Read ECSServiceProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceProjectedMetric Methods readsPrec :: Int -> ReadS ECSServiceProjectedMetric # readList :: ReadS [ECSServiceProjectedMetric] # readPrec :: ReadPrec ECSServiceProjectedMetric # readListPrec :: ReadPrec [ECSServiceProjectedMetric] #
Show ECSServiceProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceProjectedMetric Methods showsPrec :: Int -> ECSServiceProjectedMetric -> ShowS # show :: ECSServiceProjectedMetric -> String # showList :: [ECSServiceProjectedMetric] -> ShowS #
NFData ECSServiceProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceProjectedMetric Methods rnf :: ECSServiceProjectedMetric -> () #
Eq ECSServiceProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceProjectedMetric Methods (==) :: ECSServiceProjectedMetric -> ECSServiceProjectedMetric -> Bool # (/=) :: ECSServiceProjectedMetric -> ECSServiceProjectedMetric -> Bool #
Hashable ECSServiceProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceProjectedMetric Methods hashWithSalt :: Int -> ECSServiceProjectedMetric -> Int # hash :: ECSServiceProjectedMetric -> Int #
type Rep ECSServiceProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceProjectedMetric type Rep ECSServiceProjectedMetric = D1 ('MetaData "ECSServiceProjectedMetric" "Amazonka.ComputeOptimizer.Types.ECSServiceProjectedMetric" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "ECSServiceProjectedMetric'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "lowerBoundValues") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Double])) :: S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ECSServiceMetricName))) :: (S1 ('MetaSel ('Just "timestamps") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [POSIX])) :*: S1 ('MetaSel ('Just "upperBoundValues") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Double])))))

newECSServiceProjectedMetric :: ECSServiceProjectedMetric Source #

Create a value of ECSServiceProjectedMetric with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:lowerBoundValues:ECSServiceProjectedMetric', eCSServiceProjectedMetric_lowerBoundValues - The lower bound values for the projected metric.

$sel:name:ECSServiceProjectedMetric', eCSServiceProjectedMetric_name - The name of the projected metric.

The following metrics are available:

CPU — The percentage of allocated compute units that are currently in use on the ECS service tasks.
Memory — The percentage of memory that is currently in use on the ECS service tasks.

$sel:timestamps:ECSServiceProjectedMetric', eCSServiceProjectedMetric_timestamps - The timestamps of the projected metric.

$sel:upperBoundValues:ECSServiceProjectedMetric', eCSServiceProjectedMetric_upperBoundValues - The upper bound values for the projected metric.

eCSServiceProjectedMetric_lowerBoundValues :: Lens' ECSServiceProjectedMetric (Maybe [Double]) Source #

The lower bound values for the projected metric.

eCSServiceProjectedMetric_name :: Lens' ECSServiceProjectedMetric (Maybe ECSServiceMetricName) Source #

The name of the projected metric.

The following metrics are available:

CPU — The percentage of allocated compute units that are currently in use on the ECS service tasks.
Memory — The percentage of memory that is currently in use on the ECS service tasks.

eCSServiceProjectedMetric_timestamps :: Lens' ECSServiceProjectedMetric (Maybe [UTCTime]) Source #

The timestamps of the projected metric.

eCSServiceProjectedMetric_upperBoundValues :: Lens' ECSServiceProjectedMetric (Maybe [Double]) Source #

The upper bound values for the projected metric.

ECSServiceProjectedUtilizationMetric

data ECSServiceProjectedUtilizationMetric Source #

Describes the projected utilization metrics of an Amazon ECS service recommendation option.

To determine the performance difference between your current ECS service and the recommended option, compare the utilization metric data of your service against its projected utilization metric data.

See: newECSServiceProjectedUtilizationMetric smart constructor.

Constructors

ECSServiceProjectedUtilizationMetric'

Fields

lowerBoundValue :: Maybe Double
The lower bound values for the projected utilization metrics.
name :: Maybe ECSServiceMetricName
The name of the projected utilization metric.
The following utilization metrics are available:
- CPU — The percentage of allocated compute units that are currently in use on the ECS service tasks.
- Memory — The percentage of memory that is currently in use on the ECS service tasks.
statistic :: Maybe ECSServiceMetricStatistic
The statistic of the projected utilization metric.
The Compute Optimizer API, Command Line Interface (CLI), and SDKs return utilization metrics using only the Maximum statistic, which is the highest value observed during the specified period.
The Compute Optimizer console displays graphs for some utilization metrics using the Average statistic, which is the value of Sum / SampleCount during the specified period. For more information, see Viewing resource recommendations in the Compute Optimizer User Guide. You can also get averaged utilization metric data for your resources using Amazon CloudWatch. For more information, see the Amazon CloudWatch User Guide.
upperBoundValue :: Maybe Double
The upper bound values for the projected utilization metrics.

Instances

Instances details

FromJSON ECSServiceProjectedUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceProjectedUtilizationMetric Methods parseJSON :: Value -> Parser ECSServiceProjectedUtilizationMetric # parseJSONList :: Value -> Parser [ECSServiceProjectedUtilizationMetric] #
Generic ECSServiceProjectedUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceProjectedUtilizationMetric Associated Types type Rep ECSServiceProjectedUtilizationMetric :: Type -> Type # Methods from :: ECSServiceProjectedUtilizationMetric -> Rep ECSServiceProjectedUtilizationMetric x # to :: Rep ECSServiceProjectedUtilizationMetric x -> ECSServiceProjectedUtilizationMetric #
Read ECSServiceProjectedUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceProjectedUtilizationMetric Methods readsPrec :: Int -> ReadS ECSServiceProjectedUtilizationMetric # readList :: ReadS [ECSServiceProjectedUtilizationMetric] # readPrec :: ReadPrec ECSServiceProjectedUtilizationMetric # readListPrec :: ReadPrec [ECSServiceProjectedUtilizationMetric] #
Show ECSServiceProjectedUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceProjectedUtilizationMetric Methods showsPrec :: Int -> ECSServiceProjectedUtilizationMetric -> ShowS # show :: ECSServiceProjectedUtilizationMetric -> String # showList :: [ECSServiceProjectedUtilizationMetric] -> ShowS #
NFData ECSServiceProjectedUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceProjectedUtilizationMetric Methods rnf :: ECSServiceProjectedUtilizationMetric -> () #
Eq ECSServiceProjectedUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceProjectedUtilizationMetric Methods (==) :: ECSServiceProjectedUtilizationMetric -> ECSServiceProjectedUtilizationMetric -> Bool # (/=) :: ECSServiceProjectedUtilizationMetric -> ECSServiceProjectedUtilizationMetric -> Bool #
Hashable ECSServiceProjectedUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceProjectedUtilizationMetric Methods hashWithSalt :: Int -> ECSServiceProjectedUtilizationMetric -> Int # hash :: ECSServiceProjectedUtilizationMetric -> Int #
type Rep ECSServiceProjectedUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceProjectedUtilizationMetric type Rep ECSServiceProjectedUtilizationMetric = D1 ('MetaData "ECSServiceProjectedUtilizationMetric" "Amazonka.ComputeOptimizer.Types.ECSServiceProjectedUtilizationMetric" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "ECSServiceProjectedUtilizationMetric'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "lowerBoundValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ECSServiceMetricName))) :: (S1 ('MetaSel ('Just "statistic") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ECSServiceMetricStatistic)) :*: S1 ('MetaSel ('Just "upperBoundValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))))

newECSServiceProjectedUtilizationMetric :: ECSServiceProjectedUtilizationMetric Source #

Create a value of ECSServiceProjectedUtilizationMetric with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:lowerBoundValue:ECSServiceProjectedUtilizationMetric', eCSServiceProjectedUtilizationMetric_lowerBoundValue - The lower bound values for the projected utilization metrics.

$sel:name:ECSServiceProjectedUtilizationMetric', eCSServiceProjectedUtilizationMetric_name - The name of the projected utilization metric.

The following utilization metrics are available:

CPU — The percentage of allocated compute units that are currently in use on the ECS service tasks.
Memory — The percentage of memory that is currently in use on the ECS service tasks.

$sel:statistic:ECSServiceProjectedUtilizationMetric', eCSServiceProjectedUtilizationMetric_statistic - The statistic of the projected utilization metric.

The Compute Optimizer API, Command Line Interface (CLI), and SDKs return utilization metrics using only the Maximum statistic, which is the highest value observed during the specified period.

The Compute Optimizer console displays graphs for some utilization metrics using the Average statistic, which is the value of Sum / SampleCount during the specified period. For more information, see Viewing resource recommendations in the Compute Optimizer User Guide. You can also get averaged utilization metric data for your resources using Amazon CloudWatch. For more information, see the Amazon CloudWatch User Guide.

$sel:upperBoundValue:ECSServiceProjectedUtilizationMetric', eCSServiceProjectedUtilizationMetric_upperBoundValue - The upper bound values for the projected utilization metrics.

eCSServiceProjectedUtilizationMetric_lowerBoundValue :: Lens' ECSServiceProjectedUtilizationMetric (Maybe Double) Source #

The lower bound values for the projected utilization metrics.

eCSServiceProjectedUtilizationMetric_name :: Lens' ECSServiceProjectedUtilizationMetric (Maybe ECSServiceMetricName) Source #

The name of the projected utilization metric.

The following utilization metrics are available:

CPU — The percentage of allocated compute units that are currently in use on the ECS service tasks.
Memory — The percentage of memory that is currently in use on the ECS service tasks.

eCSServiceProjectedUtilizationMetric_statistic :: Lens' ECSServiceProjectedUtilizationMetric (Maybe ECSServiceMetricStatistic) Source #

The statistic of the projected utilization metric.

The Compute Optimizer API, Command Line Interface (CLI), and SDKs return utilization metrics using only the Maximum statistic, which is the highest value observed during the specified period.

The Compute Optimizer console displays graphs for some utilization metrics using the Average statistic, which is the value of Sum / SampleCount during the specified period. For more information, see Viewing resource recommendations in the Compute Optimizer User Guide. You can also get averaged utilization metric data for your resources using Amazon CloudWatch. For more information, see the Amazon CloudWatch User Guide.

eCSServiceProjectedUtilizationMetric_upperBoundValue :: Lens' ECSServiceProjectedUtilizationMetric (Maybe Double) Source #

The upper bound values for the projected utilization metrics.

ECSServiceRecommendation

data ECSServiceRecommendation Source #

Describes an Amazon ECS service recommendation.

See: newECSServiceRecommendation smart constructor.

Constructors

ECSServiceRecommendation'

Fields

accountId :: Maybe Text
The Amazon Web Services account ID of the ECS service.
currentPerformanceRisk :: Maybe CurrentPerformanceRisk
The risk of the current ECS service not meeting the performance needs of its workloads. The higher the risk, the more likely the current service can't meet the performance requirements of its workload.
currentServiceConfiguration :: Maybe ServiceConfiguration
The configuration of the current ECS service.
finding :: Maybe ECSServiceRecommendationFinding
The finding classification of an ECS service.
Findings for ECS services include:
- Underprovisioned — When Compute Optimizer detects that there’s not enough memory or CPU, an ECS service is considered under-provisioned. An under-provisioned ECS service might result in poor application performance.
- Overprovisioned — When Compute Optimizer detects that there’s excessive memory or CPU, an ECS service is considered over-provisioned. An over-provisioned ECS service might result in additional infrastructure costs.
- Optimized — When both the CPU and memory of your ECS service meet the performance requirements of your workload, the service is considered optimized.
findingReasonCodes :: Maybe [ECSServiceRecommendationFindingReasonCode]
The reason for the finding classification of an ECS service.
Finding reason codes for ECS services include:
- CPUUnderprovisioned — The ECS service CPU configuration can be sized up to enhance the performance of your workload. This is identified by analyzing the CPUUtilization metric of the current service during the look-back period.
- CPUOverprovisioned — The ECS service CPU configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the CPUUtilization metric of the current service during the look-back period.
- MemoryUnderprovisioned — The ECS service memory configuration can be sized up to enhance the performance of your workload. This is identified by analyzing the MemoryUtilization metric of the current service during the look-back period.
- MemoryOverprovisioned — The ECS service memory configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the MemoryUtilization metric of the current service during the look-back period.
lastRefreshTimestamp :: Maybe POSIX
The timestamp of when the ECS service recommendation was last generated.
launchType :: Maybe ECSServiceLaunchType
The launch type the ECS service is using.
Compute Optimizer only supports the Fargate launch type.
lookbackPeriodInDays :: Maybe Double
The number of days the ECS service utilization metrics were analyzed.
serviceArn :: Maybe Text
The Amazon Resource Name (ARN) of the current ECS service.
The following is the format of the ARN:
```
arn:aws:ecs:region:aws_account_id:service/cluster-name/service-name
```
serviceRecommendationOptions :: Maybe [ECSServiceRecommendationOption]
An array of objects that describe the recommendation options for the ECS service.
utilizationMetrics :: Maybe [ECSServiceUtilizationMetric]
An array of objects that describe the utilization metrics of the ECS service.

Instances

Instances details

FromJSON ECSServiceRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendation Methods parseJSON :: Value -> Parser ECSServiceRecommendation # parseJSONList :: Value -> Parser [ECSServiceRecommendation] #
Generic ECSServiceRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendation Associated Types type Rep ECSServiceRecommendation :: Type -> Type # Methods from :: ECSServiceRecommendation -> Rep ECSServiceRecommendation x # to :: Rep ECSServiceRecommendation x -> ECSServiceRecommendation #
Read ECSServiceRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendation Methods readsPrec :: Int -> ReadS ECSServiceRecommendation # readList :: ReadS [ECSServiceRecommendation] # readPrec :: ReadPrec ECSServiceRecommendation # readListPrec :: ReadPrec [ECSServiceRecommendation] #
Show ECSServiceRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendation Methods showsPrec :: Int -> ECSServiceRecommendation -> ShowS # show :: ECSServiceRecommendation -> String # showList :: [ECSServiceRecommendation] -> ShowS #
NFData ECSServiceRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendation Methods rnf :: ECSServiceRecommendation -> () #
Eq ECSServiceRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendation Methods (==) :: ECSServiceRecommendation -> ECSServiceRecommendation -> Bool # (/=) :: ECSServiceRecommendation -> ECSServiceRecommendation -> Bool #
Hashable ECSServiceRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendation Methods hashWithSalt :: Int -> ECSServiceRecommendation -> Int # hash :: ECSServiceRecommendation -> Int #
type Rep ECSServiceRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendation type Rep ECSServiceRecommendation = D1 ('MetaData "ECSServiceRecommendation" "Amazonka.ComputeOptimizer.Types.ECSServiceRecommendation" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "ECSServiceRecommendation'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "accountId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "currentPerformanceRisk") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CurrentPerformanceRisk))) :: (S1 ('MetaSel ('Just "currentServiceConfiguration") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ServiceConfiguration)) :: (S1 ('MetaSel ('Just "finding") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ECSServiceRecommendationFinding)) :: S1 ('MetaSel ('Just "findingReasonCodes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ECSServiceRecommendationFindingReasonCode]))))) :: ((S1 ('MetaSel ('Just "lastRefreshTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "launchType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ECSServiceLaunchType)) :: S1 ('MetaSel ('Just "lookbackPeriodInDays") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))) :: (S1 ('MetaSel ('Just "serviceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "serviceRecommendationOptions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ECSServiceRecommendationOption])) :: S1 ('MetaSel ('Just "utilizationMetrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ECSServiceUtilizationMetric])))))))

newECSServiceRecommendation :: ECSServiceRecommendation Source #

Create a value of ECSServiceRecommendation with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:accountId:ECSServiceRecommendation', eCSServiceRecommendation_accountId - The Amazon Web Services account ID of the ECS service.

$sel:currentPerformanceRisk:ECSServiceRecommendation', eCSServiceRecommendation_currentPerformanceRisk - The risk of the current ECS service not meeting the performance needs of its workloads. The higher the risk, the more likely the current service can't meet the performance requirements of its workload.

$sel:currentServiceConfiguration:ECSServiceRecommendation', eCSServiceRecommendation_currentServiceConfiguration - The configuration of the current ECS service.

$sel:finding:ECSServiceRecommendation', eCSServiceRecommendation_finding - The finding classification of an ECS service.

Findings for ECS services include:

Underprovisioned — When Compute Optimizer detects that there’s not enough memory or CPU, an ECS service is considered under-provisioned. An under-provisioned ECS service might result in poor application performance.
Overprovisioned — When Compute Optimizer detects that there’s excessive memory or CPU, an ECS service is considered over-provisioned. An over-provisioned ECS service might result in additional infrastructure costs.
Optimized — When both the CPU and memory of your ECS service meet the performance requirements of your workload, the service is considered optimized.

$sel:findingReasonCodes:ECSServiceRecommendation', eCSServiceRecommendation_findingReasonCodes - The reason for the finding classification of an ECS service.

Finding reason codes for ECS services include:

CPUUnderprovisioned — The ECS service CPU configuration can be sized up to enhance the performance of your workload. This is identified by analyzing the CPUUtilization metric of the current service during the look-back period.
CPUOverprovisioned — The ECS service CPU configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the CPUUtilization metric of the current service during the look-back period.
MemoryUnderprovisioned — The ECS service memory configuration can be sized up to enhance the performance of your workload. This is identified by analyzing the MemoryUtilization metric of the current service during the look-back period.
MemoryOverprovisioned — The ECS service memory configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the MemoryUtilization metric of the current service during the look-back period.

$sel:lastRefreshTimestamp:ECSServiceRecommendation', eCSServiceRecommendation_lastRefreshTimestamp - The timestamp of when the ECS service recommendation was last generated.

$sel:launchType:ECSServiceRecommendation', eCSServiceRecommendation_launchType - The launch type the ECS service is using.

Compute Optimizer only supports the Fargate launch type.

$sel:lookbackPeriodInDays:ECSServiceRecommendation', eCSServiceRecommendation_lookbackPeriodInDays - The number of days the ECS service utilization metrics were analyzed.

$sel:serviceArn:ECSServiceRecommendation', eCSServiceRecommendation_serviceArn - The Amazon Resource Name (ARN) of the current ECS service.

The following is the format of the ARN:

arn:aws:ecs:region:aws_account_id:service/cluster-name/service-name

$sel:serviceRecommendationOptions:ECSServiceRecommendation', eCSServiceRecommendation_serviceRecommendationOptions - An array of objects that describe the recommendation options for the ECS service.

$sel:utilizationMetrics:ECSServiceRecommendation', eCSServiceRecommendation_utilizationMetrics - An array of objects that describe the utilization metrics of the ECS service.

eCSServiceRecommendation_accountId :: Lens' ECSServiceRecommendation (Maybe Text) Source #

The Amazon Web Services account ID of the ECS service.

eCSServiceRecommendation_currentPerformanceRisk :: Lens' ECSServiceRecommendation (Maybe CurrentPerformanceRisk) Source #

The risk of the current ECS service not meeting the performance needs of its workloads. The higher the risk, the more likely the current service can't meet the performance requirements of its workload.

eCSServiceRecommendation_currentServiceConfiguration :: Lens' ECSServiceRecommendation (Maybe ServiceConfiguration) Source #

The configuration of the current ECS service.

eCSServiceRecommendation_finding :: Lens' ECSServiceRecommendation (Maybe ECSServiceRecommendationFinding) Source #

The finding classification of an ECS service.

Findings for ECS services include:

Underprovisioned — When Compute Optimizer detects that there’s not enough memory or CPU, an ECS service is considered under-provisioned. An under-provisioned ECS service might result in poor application performance.
Overprovisioned — When Compute Optimizer detects that there’s excessive memory or CPU, an ECS service is considered over-provisioned. An over-provisioned ECS service might result in additional infrastructure costs.
Optimized — When both the CPU and memory of your ECS service meet the performance requirements of your workload, the service is considered optimized.

eCSServiceRecommendation_findingReasonCodes :: Lens' ECSServiceRecommendation (Maybe [ECSServiceRecommendationFindingReasonCode]) Source #

The reason for the finding classification of an ECS service.

Finding reason codes for ECS services include:

CPUUnderprovisioned — The ECS service CPU configuration can be sized up to enhance the performance of your workload. This is identified by analyzing the CPUUtilization metric of the current service during the look-back period.
CPUOverprovisioned — The ECS service CPU configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the CPUUtilization metric of the current service during the look-back period.
MemoryUnderprovisioned — The ECS service memory configuration can be sized up to enhance the performance of your workload. This is identified by analyzing the MemoryUtilization metric of the current service during the look-back period.
MemoryOverprovisioned — The ECS service memory configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the MemoryUtilization metric of the current service during the look-back period.

eCSServiceRecommendation_lastRefreshTimestamp :: Lens' ECSServiceRecommendation (Maybe UTCTime) Source #

The timestamp of when the ECS service recommendation was last generated.

eCSServiceRecommendation_launchType :: Lens' ECSServiceRecommendation (Maybe ECSServiceLaunchType) Source #

The launch type the ECS service is using.

Compute Optimizer only supports the Fargate launch type.

eCSServiceRecommendation_lookbackPeriodInDays :: Lens' ECSServiceRecommendation (Maybe Double) Source #

The number of days the ECS service utilization metrics were analyzed.

eCSServiceRecommendation_serviceArn :: Lens' ECSServiceRecommendation (Maybe Text) Source #

The Amazon Resource Name (ARN) of the current ECS service.

The following is the format of the ARN:

arn:aws:ecs:region:aws_account_id:service/cluster-name/service-name

eCSServiceRecommendation_serviceRecommendationOptions :: Lens' ECSServiceRecommendation (Maybe [ECSServiceRecommendationOption]) Source #

An array of objects that describe the recommendation options for the ECS service.

eCSServiceRecommendation_utilizationMetrics :: Lens' ECSServiceRecommendation (Maybe [ECSServiceUtilizationMetric]) Source #

An array of objects that describe the utilization metrics of the ECS service.

ECSServiceRecommendationFilter

data ECSServiceRecommendationFilter Source #

Describes a filter that returns a more specific list of Amazon ECS service recommendations. Use this filter with the GetECSServiceRecommendations action.

See: newECSServiceRecommendationFilter smart constructor.

Constructors

ECSServiceRecommendationFilter'

Fields

name :: Maybe ECSServiceRecommendationFilterName
The name of the filter.
Specify Finding to return recommendations with a specific finding classification.
Specify FindingReasonCode to return recommendations with a specific finding reason code.
values :: Maybe [Text]
The value of the filter.
The valid values for this parameter are as follows:
- If you specify the name parameter as Finding, specify Optimized, NotOptimized, or Unavailable.
- If you specify the name parameter as FindingReasonCode, specify CPUUnderprovisioned, CPUOverprovisioned, MemoryUnderprovisioned, or MemoryOverprovisioned.

Instances

Instances details

ToJSON ECSServiceRecommendationFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFilter Methods toJSON :: ECSServiceRecommendationFilter -> Value # toEncoding :: ECSServiceRecommendationFilter -> Encoding # toJSONList :: [ECSServiceRecommendationFilter] -> Value # toEncodingList :: [ECSServiceRecommendationFilter] -> Encoding #
Generic ECSServiceRecommendationFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFilter Associated Types type Rep ECSServiceRecommendationFilter :: Type -> Type # Methods from :: ECSServiceRecommendationFilter -> Rep ECSServiceRecommendationFilter x # to :: Rep ECSServiceRecommendationFilter x -> ECSServiceRecommendationFilter #
Read ECSServiceRecommendationFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFilter Methods readsPrec :: Int -> ReadS ECSServiceRecommendationFilter # readList :: ReadS [ECSServiceRecommendationFilter] # readPrec :: ReadPrec ECSServiceRecommendationFilter # readListPrec :: ReadPrec [ECSServiceRecommendationFilter] #
Show ECSServiceRecommendationFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFilter Methods showsPrec :: Int -> ECSServiceRecommendationFilter -> ShowS # show :: ECSServiceRecommendationFilter -> String # showList :: [ECSServiceRecommendationFilter] -> ShowS #
NFData ECSServiceRecommendationFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFilter Methods rnf :: ECSServiceRecommendationFilter -> () #
Eq ECSServiceRecommendationFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFilter Methods (==) :: ECSServiceRecommendationFilter -> ECSServiceRecommendationFilter -> Bool # (/=) :: ECSServiceRecommendationFilter -> ECSServiceRecommendationFilter -> Bool #
Hashable ECSServiceRecommendationFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFilter Methods hashWithSalt :: Int -> ECSServiceRecommendationFilter -> Int # hash :: ECSServiceRecommendationFilter -> Int #
type Rep ECSServiceRecommendationFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFilter type Rep ECSServiceRecommendationFilter = D1 ('MetaData "ECSServiceRecommendationFilter" "Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationFilter" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "ECSServiceRecommendationFilter'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ECSServiceRecommendationFilterName)) :*: S1 ('MetaSel ('Just "values") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text]))))

newECSServiceRecommendationFilter :: ECSServiceRecommendationFilter Source #

Create a value of ECSServiceRecommendationFilter with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:name:ECSServiceRecommendationFilter', eCSServiceRecommendationFilter_name - The name of the filter.

Specify Finding to return recommendations with a specific finding classification.

Specify FindingReasonCode to return recommendations with a specific finding reason code.

$sel:values:ECSServiceRecommendationFilter', eCSServiceRecommendationFilter_values - The value of the filter.

The valid values for this parameter are as follows:

If you specify the name parameter as Finding, specify Optimized, NotOptimized, or Unavailable.
If you specify the name parameter as FindingReasonCode, specify CPUUnderprovisioned, CPUOverprovisioned, MemoryUnderprovisioned, or MemoryOverprovisioned.

eCSServiceRecommendationFilter_name :: Lens' ECSServiceRecommendationFilter (Maybe ECSServiceRecommendationFilterName) Source #

The name of the filter.

Specify Finding to return recommendations with a specific finding classification.

Specify FindingReasonCode to return recommendations with a specific finding reason code.

eCSServiceRecommendationFilter_values :: Lens' ECSServiceRecommendationFilter (Maybe [Text]) Source #

The value of the filter.

The valid values for this parameter are as follows:

If you specify the name parameter as Finding, specify Optimized, NotOptimized, or Unavailable.
If you specify the name parameter as FindingReasonCode, specify CPUUnderprovisioned, CPUOverprovisioned, MemoryUnderprovisioned, or MemoryOverprovisioned.

ECSServiceRecommendationOption

data ECSServiceRecommendationOption Source #

Describes the recommendation options for an Amazon ECS service.

See: newECSServiceRecommendationOption smart constructor.

Constructors

ECSServiceRecommendationOption'

Fields

containerRecommendations :: Maybe [ContainerRecommendation]
The CPU and memory size recommendations for the containers within the task of your ECS service.
cpu :: Maybe Int
The CPU size of the ECS service recommendation option.
memory :: Maybe Int
The memory size of the ECS service recommendation option.
projectedUtilizationMetrics :: Maybe [ECSServiceProjectedUtilizationMetric]
An array of objects that describe the projected utilization metrics of the ECS service recommendation option.
savingsOpportunity :: Maybe SavingsOpportunity

Instances

Instances details

FromJSON ECSServiceRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationOption Methods parseJSON :: Value -> Parser ECSServiceRecommendationOption # parseJSONList :: Value -> Parser [ECSServiceRecommendationOption] #
Generic ECSServiceRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationOption Associated Types type Rep ECSServiceRecommendationOption :: Type -> Type # Methods from :: ECSServiceRecommendationOption -> Rep ECSServiceRecommendationOption x # to :: Rep ECSServiceRecommendationOption x -> ECSServiceRecommendationOption #
Read ECSServiceRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationOption Methods readsPrec :: Int -> ReadS ECSServiceRecommendationOption # readList :: ReadS [ECSServiceRecommendationOption] # readPrec :: ReadPrec ECSServiceRecommendationOption # readListPrec :: ReadPrec [ECSServiceRecommendationOption] #
Show ECSServiceRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationOption Methods showsPrec :: Int -> ECSServiceRecommendationOption -> ShowS # show :: ECSServiceRecommendationOption -> String # showList :: [ECSServiceRecommendationOption] -> ShowS #
NFData ECSServiceRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationOption Methods rnf :: ECSServiceRecommendationOption -> () #
Eq ECSServiceRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationOption Methods (==) :: ECSServiceRecommendationOption -> ECSServiceRecommendationOption -> Bool # (/=) :: ECSServiceRecommendationOption -> ECSServiceRecommendationOption -> Bool #
Hashable ECSServiceRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationOption Methods hashWithSalt :: Int -> ECSServiceRecommendationOption -> Int # hash :: ECSServiceRecommendationOption -> Int #
type Rep ECSServiceRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationOption type Rep ECSServiceRecommendationOption = D1 ('MetaData "ECSServiceRecommendationOption" "Amazonka.ComputeOptimizer.Types.ECSServiceRecommendationOption" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "ECSServiceRecommendationOption'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "containerRecommendations") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ContainerRecommendation])) :: S1 ('MetaSel ('Just "cpu") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int))) :: (S1 ('MetaSel ('Just "memory") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :: (S1 ('MetaSel ('Just "projectedUtilizationMetrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ECSServiceProjectedUtilizationMetric])) :: S1 ('MetaSel ('Just "savingsOpportunity") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe SavingsOpportunity))))))

newECSServiceRecommendationOption :: ECSServiceRecommendationOption Source #

Create a value of ECSServiceRecommendationOption with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:containerRecommendations:ECSServiceRecommendationOption', eCSServiceRecommendationOption_containerRecommendations - The CPU and memory size recommendations for the containers within the task of your ECS service.

ECSServiceRecommendationOption, eCSServiceRecommendationOption_cpu - The CPU size of the ECS service recommendation option.

$sel:memory:ECSServiceRecommendationOption', eCSServiceRecommendationOption_memory - The memory size of the ECS service recommendation option.

$sel:projectedUtilizationMetrics:ECSServiceRecommendationOption', eCSServiceRecommendationOption_projectedUtilizationMetrics - An array of objects that describe the projected utilization metrics of the ECS service recommendation option.

$sel:savingsOpportunity:ECSServiceRecommendationOption', eCSServiceRecommendationOption_savingsOpportunity - Undocumented member.

eCSServiceRecommendationOption_containerRecommendations :: Lens' ECSServiceRecommendationOption (Maybe [ContainerRecommendation]) Source #

The CPU and memory size recommendations for the containers within the task of your ECS service.

eCSServiceRecommendationOption_cpu :: Lens' ECSServiceRecommendationOption (Maybe Int) Source #

The CPU size of the ECS service recommendation option.

eCSServiceRecommendationOption_memory :: Lens' ECSServiceRecommendationOption (Maybe Int) Source #

The memory size of the ECS service recommendation option.

eCSServiceRecommendationOption_projectedUtilizationMetrics :: Lens' ECSServiceRecommendationOption (Maybe [ECSServiceProjectedUtilizationMetric]) Source #

An array of objects that describe the projected utilization metrics of the ECS service recommendation option.

eCSServiceRecommendationOption_savingsOpportunity :: Lens' ECSServiceRecommendationOption (Maybe SavingsOpportunity) Source #

Undocumented member.

ECSServiceRecommendedOptionProjectedMetric

data ECSServiceRecommendedOptionProjectedMetric Source #

Describes the projected metrics of an Amazon ECS service recommendation option.

To determine the performance difference between your current ECS service and the recommended option, compare the metric data of your service against its projected metric data.

See: newECSServiceRecommendedOptionProjectedMetric smart constructor.

Constructors

ECSServiceRecommendedOptionProjectedMetric'
Fields projectedMetrics :: Maybe [ECSServiceProjectedMetric] An array of objects that describe the projected metric. recommendedCpuUnits :: Maybe Int The recommended CPU size for the ECS service. recommendedMemorySize :: Maybe Int The recommended memory size for the ECS service.

Instances

Instances details

FromJSON ECSServiceRecommendedOptionProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendedOptionProjectedMetric Methods parseJSON :: Value -> Parser ECSServiceRecommendedOptionProjectedMetric # parseJSONList :: Value -> Parser [ECSServiceRecommendedOptionProjectedMetric] #
Generic ECSServiceRecommendedOptionProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendedOptionProjectedMetric Associated Types type Rep ECSServiceRecommendedOptionProjectedMetric :: Type -> Type # Methods from :: ECSServiceRecommendedOptionProjectedMetric -> Rep ECSServiceRecommendedOptionProjectedMetric x # to :: Rep ECSServiceRecommendedOptionProjectedMetric x -> ECSServiceRecommendedOptionProjectedMetric #
Read ECSServiceRecommendedOptionProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendedOptionProjectedMetric Methods readsPrec :: Int -> ReadS ECSServiceRecommendedOptionProjectedMetric # readList :: ReadS [ECSServiceRecommendedOptionProjectedMetric] # readPrec :: ReadPrec ECSServiceRecommendedOptionProjectedMetric # readListPrec :: ReadPrec [ECSServiceRecommendedOptionProjectedMetric] #
Show ECSServiceRecommendedOptionProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendedOptionProjectedMetric Methods showsPrec :: Int -> ECSServiceRecommendedOptionProjectedMetric -> ShowS # show :: ECSServiceRecommendedOptionProjectedMetric -> String # showList :: [ECSServiceRecommendedOptionProjectedMetric] -> ShowS #
NFData ECSServiceRecommendedOptionProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendedOptionProjectedMetric Methods rnf :: ECSServiceRecommendedOptionProjectedMetric -> () #
Eq ECSServiceRecommendedOptionProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendedOptionProjectedMetric Methods (==) :: ECSServiceRecommendedOptionProjectedMetric -> ECSServiceRecommendedOptionProjectedMetric -> Bool # (/=) :: ECSServiceRecommendedOptionProjectedMetric -> ECSServiceRecommendedOptionProjectedMetric -> Bool #
Hashable ECSServiceRecommendedOptionProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendedOptionProjectedMetric Methods hashWithSalt :: Int -> ECSServiceRecommendedOptionProjectedMetric -> Int # hash :: ECSServiceRecommendedOptionProjectedMetric -> Int #
type Rep ECSServiceRecommendedOptionProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceRecommendedOptionProjectedMetric type Rep ECSServiceRecommendedOptionProjectedMetric = D1 ('MetaData "ECSServiceRecommendedOptionProjectedMetric" "Amazonka.ComputeOptimizer.Types.ECSServiceRecommendedOptionProjectedMetric" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "ECSServiceRecommendedOptionProjectedMetric'" 'PrefixI 'True) (S1 ('MetaSel ('Just "projectedMetrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ECSServiceProjectedMetric])) :: (S1 ('MetaSel ('Just "recommendedCpuUnits") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :: S1 ('MetaSel ('Just "recommendedMemorySize") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)))))

newECSServiceRecommendedOptionProjectedMetric :: ECSServiceRecommendedOptionProjectedMetric Source #

Create a value of ECSServiceRecommendedOptionProjectedMetric with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:projectedMetrics:ECSServiceRecommendedOptionProjectedMetric', eCSServiceRecommendedOptionProjectedMetric_projectedMetrics - An array of objects that describe the projected metric.

eCSServiceRecommendedOptionProjectedMetric_projectedMetrics :: Lens' ECSServiceRecommendedOptionProjectedMetric (Maybe [ECSServiceProjectedMetric]) Source #

An array of objects that describe the projected metric.

eCSServiceRecommendedOptionProjectedMetric_recommendedCpuUnits :: Lens' ECSServiceRecommendedOptionProjectedMetric (Maybe Int) Source #

The recommended CPU size for the ECS service.

eCSServiceRecommendedOptionProjectedMetric_recommendedMemorySize :: Lens' ECSServiceRecommendedOptionProjectedMetric (Maybe Int) Source #

The recommended memory size for the ECS service.

ECSServiceUtilizationMetric

data ECSServiceUtilizationMetric Source #

Describes the utilization metric of an Amazon ECS service.

To determine the performance difference between your current ECS service and the recommended option, compare the utilization metric data of your service against its projected utilization metric data.

See: newECSServiceUtilizationMetric smart constructor.

Constructors

ECSServiceUtilizationMetric'

Fields

name :: Maybe ECSServiceMetricName
The name of the utilization metric.
The following utilization metrics are available:
- Cpu — The amount of CPU units that are used in the service.
- Memory — The amount of memory that is used in the service.
statistic :: Maybe ECSServiceMetricStatistic
The statistic of the utilization metric.
The Compute Optimizer API, Command Line Interface (CLI), and SDKs return utilization metrics using only the Maximum statistic, which is the highest value observed during the specified period.
The Compute Optimizer console displays graphs for some utilization metrics using the Average statistic, which is the value of Sum / SampleCount during the specified period. For more information, see Viewing resource recommendations in the Compute Optimizer User Guide. You can also get averaged utilization metric data for your resources using Amazon CloudWatch. For more information, see the Amazon CloudWatch User Guide.
value :: Maybe Double
The value of the utilization metric.

Instances

Instances details

FromJSON ECSServiceUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceUtilizationMetric Methods parseJSON :: Value -> Parser ECSServiceUtilizationMetric # parseJSONList :: Value -> Parser [ECSServiceUtilizationMetric] #
Generic ECSServiceUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceUtilizationMetric Associated Types type Rep ECSServiceUtilizationMetric :: Type -> Type # Methods from :: ECSServiceUtilizationMetric -> Rep ECSServiceUtilizationMetric x # to :: Rep ECSServiceUtilizationMetric x -> ECSServiceUtilizationMetric #
Read ECSServiceUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceUtilizationMetric Methods readsPrec :: Int -> ReadS ECSServiceUtilizationMetric # readList :: ReadS [ECSServiceUtilizationMetric] # readPrec :: ReadPrec ECSServiceUtilizationMetric # readListPrec :: ReadPrec [ECSServiceUtilizationMetric] #
Show ECSServiceUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceUtilizationMetric Methods showsPrec :: Int -> ECSServiceUtilizationMetric -> ShowS # show :: ECSServiceUtilizationMetric -> String # showList :: [ECSServiceUtilizationMetric] -> ShowS #
NFData ECSServiceUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceUtilizationMetric Methods rnf :: ECSServiceUtilizationMetric -> () #
Eq ECSServiceUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceUtilizationMetric Methods (==) :: ECSServiceUtilizationMetric -> ECSServiceUtilizationMetric -> Bool # (/=) :: ECSServiceUtilizationMetric -> ECSServiceUtilizationMetric -> Bool #
Hashable ECSServiceUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceUtilizationMetric Methods hashWithSalt :: Int -> ECSServiceUtilizationMetric -> Int # hash :: ECSServiceUtilizationMetric -> Int #
type Rep ECSServiceUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ECSServiceUtilizationMetric type Rep ECSServiceUtilizationMetric = D1 ('MetaData "ECSServiceUtilizationMetric" "Amazonka.ComputeOptimizer.Types.ECSServiceUtilizationMetric" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "ECSServiceUtilizationMetric'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ECSServiceMetricName)) :: (S1 ('MetaSel ('Just "statistic") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ECSServiceMetricStatistic)) :: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))))

newECSServiceUtilizationMetric :: ECSServiceUtilizationMetric Source #

Create a value of ECSServiceUtilizationMetric with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:name:ECSServiceUtilizationMetric', eCSServiceUtilizationMetric_name - The name of the utilization metric.

The following utilization metrics are available:

Cpu — The amount of CPU units that are used in the service.
Memory — The amount of memory that is used in the service.

$sel:statistic:ECSServiceUtilizationMetric', eCSServiceUtilizationMetric_statistic - The statistic of the utilization metric.

The Compute Optimizer API, Command Line Interface (CLI), and SDKs return utilization metrics using only the Maximum statistic, which is the highest value observed during the specified period.

The Compute Optimizer console displays graphs for some utilization metrics using the Average statistic, which is the value of Sum / SampleCount during the specified period. For more information, see Viewing resource recommendations in the Compute Optimizer User Guide. You can also get averaged utilization metric data for your resources using Amazon CloudWatch. For more information, see the Amazon CloudWatch User Guide.

$sel:value:ECSServiceUtilizationMetric', eCSServiceUtilizationMetric_value - The value of the utilization metric.

eCSServiceUtilizationMetric_name :: Lens' ECSServiceUtilizationMetric (Maybe ECSServiceMetricName) Source #

The name of the utilization metric.

The following utilization metrics are available:

Cpu — The amount of CPU units that are used in the service.
Memory — The amount of memory that is used in the service.

eCSServiceUtilizationMetric_statistic :: Lens' ECSServiceUtilizationMetric (Maybe ECSServiceMetricStatistic) Source #

The statistic of the utilization metric.

The Compute Optimizer API, Command Line Interface (CLI), and SDKs return utilization metrics using only the Maximum statistic, which is the highest value observed during the specified period.

The Compute Optimizer console displays graphs for some utilization metrics using the Average statistic, which is the value of Sum / SampleCount during the specified period. For more information, see Viewing resource recommendations in the Compute Optimizer User Guide. You can also get averaged utilization metric data for your resources using Amazon CloudWatch. For more information, see the Amazon CloudWatch User Guide.

eCSServiceUtilizationMetric_value :: Lens' ECSServiceUtilizationMetric (Maybe Double) Source #

The value of the utilization metric.

EffectiveRecommendationPreferences

data EffectiveRecommendationPreferences Source #

Describes the effective recommendation preferences for a resource.

See: newEffectiveRecommendationPreferences smart constructor.

Constructors

EffectiveRecommendationPreferences'

Fields

cpuVendorArchitectures :: Maybe [CpuVendorArchitecture]
Describes the CPU vendor and architecture for an instance or Auto Scaling group recommendations.
For example, when you specify AWS_ARM64 with:
- A GetEC2InstanceRecommendations or GetAutoScalingGroupRecommendations request, Compute Optimizer returns recommendations that consist of Graviton2 instance types only.
- A GetEC2RecommendationProjectedMetrics request, Compute Optimizer returns projected utilization metrics for Graviton2 instance type recommendations only.
- A ExportEC2InstanceRecommendations or ExportAutoScalingGroupRecommendations request, Compute Optimizer exports recommendations that consist of Graviton2 instance types only.
enhancedInfrastructureMetrics :: Maybe EnhancedInfrastructureMetrics
Describes the activation status of the enhanced infrastructure metrics preference.
A status of Active confirms that the preference is applied in the latest recommendation refresh, and a status of Inactive confirms that it's not yet applied to recommendations.
For more information, see Enhanced infrastructure metrics in the Compute Optimizer User Guide.
externalMetricsPreference :: Maybe ExternalMetricsPreference
An object that describes the external metrics recommendation preference.
If the preference is applied in the latest recommendation refresh, an object with a valid source value appears in the response. If the preference isn't applied to the recommendations already, then this object doesn't appear in the response.
inferredWorkloadTypes :: Maybe InferredWorkloadTypesPreference
Describes the activation status of the inferred workload types preference.
A status of Active confirms that the preference is applied in the latest recommendation refresh. A status of Inactive confirms that it's not yet applied to recommendations.

Instances

Instances details

FromJSON EffectiveRecommendationPreferences Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EffectiveRecommendationPreferences Methods parseJSON :: Value -> Parser EffectiveRecommendationPreferences # parseJSONList :: Value -> Parser [EffectiveRecommendationPreferences] #
Generic EffectiveRecommendationPreferences Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EffectiveRecommendationPreferences Associated Types type Rep EffectiveRecommendationPreferences :: Type -> Type # Methods from :: EffectiveRecommendationPreferences -> Rep EffectiveRecommendationPreferences x # to :: Rep EffectiveRecommendationPreferences x -> EffectiveRecommendationPreferences #
Read EffectiveRecommendationPreferences Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EffectiveRecommendationPreferences Methods readsPrec :: Int -> ReadS EffectiveRecommendationPreferences # readList :: ReadS [EffectiveRecommendationPreferences] # readPrec :: ReadPrec EffectiveRecommendationPreferences # readListPrec :: ReadPrec [EffectiveRecommendationPreferences] #
Show EffectiveRecommendationPreferences Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EffectiveRecommendationPreferences Methods showsPrec :: Int -> EffectiveRecommendationPreferences -> ShowS # show :: EffectiveRecommendationPreferences -> String # showList :: [EffectiveRecommendationPreferences] -> ShowS #
NFData EffectiveRecommendationPreferences Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EffectiveRecommendationPreferences Methods rnf :: EffectiveRecommendationPreferences -> () #
Eq EffectiveRecommendationPreferences Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EffectiveRecommendationPreferences Methods (==) :: EffectiveRecommendationPreferences -> EffectiveRecommendationPreferences -> Bool # (/=) :: EffectiveRecommendationPreferences -> EffectiveRecommendationPreferences -> Bool #
Hashable EffectiveRecommendationPreferences Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EffectiveRecommendationPreferences Methods hashWithSalt :: Int -> EffectiveRecommendationPreferences -> Int # hash :: EffectiveRecommendationPreferences -> Int #
type Rep EffectiveRecommendationPreferences Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EffectiveRecommendationPreferences type Rep EffectiveRecommendationPreferences = D1 ('MetaData "EffectiveRecommendationPreferences" "Amazonka.ComputeOptimizer.Types.EffectiveRecommendationPreferences" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "EffectiveRecommendationPreferences'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "cpuVendorArchitectures") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [CpuVendorArchitecture])) :: S1 ('MetaSel ('Just "enhancedInfrastructureMetrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EnhancedInfrastructureMetrics))) :: (S1 ('MetaSel ('Just "externalMetricsPreference") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ExternalMetricsPreference)) :*: S1 ('MetaSel ('Just "inferredWorkloadTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe InferredWorkloadTypesPreference)))))

newEffectiveRecommendationPreferences :: EffectiveRecommendationPreferences Source #

Create a value of EffectiveRecommendationPreferences with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:cpuVendorArchitectures:EffectiveRecommendationPreferences', effectiveRecommendationPreferences_cpuVendorArchitectures - Describes the CPU vendor and architecture for an instance or Auto Scaling group recommendations.

For example, when you specify AWS_ARM64 with:

A GetEC2InstanceRecommendations or GetAutoScalingGroupRecommendations request, Compute Optimizer returns recommendations that consist of Graviton2 instance types only.
A GetEC2RecommendationProjectedMetrics request, Compute Optimizer returns projected utilization metrics for Graviton2 instance type recommendations only.
A ExportEC2InstanceRecommendations or ExportAutoScalingGroupRecommendations request, Compute Optimizer exports recommendations that consist of Graviton2 instance types only.

$sel:enhancedInfrastructureMetrics:EffectiveRecommendationPreferences', effectiveRecommendationPreferences_enhancedInfrastructureMetrics - Describes the activation status of the enhanced infrastructure metrics preference.

A status of Active confirms that the preference is applied in the latest recommendation refresh, and a status of Inactive confirms that it's not yet applied to recommendations.

For more information, see Enhanced infrastructure metrics in the Compute Optimizer User Guide.

$sel:externalMetricsPreference:EffectiveRecommendationPreferences', effectiveRecommendationPreferences_externalMetricsPreference - An object that describes the external metrics recommendation preference.

If the preference is applied in the latest recommendation refresh, an object with a valid source value appears in the response. If the preference isn't applied to the recommendations already, then this object doesn't appear in the response.

$sel:inferredWorkloadTypes:EffectiveRecommendationPreferences', effectiveRecommendationPreferences_inferredWorkloadTypes - Describes the activation status of the inferred workload types preference.

A status of Active confirms that the preference is applied in the latest recommendation refresh. A status of Inactive confirms that it's not yet applied to recommendations.

effectiveRecommendationPreferences_cpuVendorArchitectures :: Lens' EffectiveRecommendationPreferences (Maybe [CpuVendorArchitecture]) Source #

Describes the CPU vendor and architecture for an instance or Auto Scaling group recommendations.

For example, when you specify AWS_ARM64 with:

A GetEC2InstanceRecommendations or GetAutoScalingGroupRecommendations request, Compute Optimizer returns recommendations that consist of Graviton2 instance types only.
A GetEC2RecommendationProjectedMetrics request, Compute Optimizer returns projected utilization metrics for Graviton2 instance type recommendations only.
A ExportEC2InstanceRecommendations or ExportAutoScalingGroupRecommendations request, Compute Optimizer exports recommendations that consist of Graviton2 instance types only.

effectiveRecommendationPreferences_enhancedInfrastructureMetrics :: Lens' EffectiveRecommendationPreferences (Maybe EnhancedInfrastructureMetrics) Source #

Describes the activation status of the enhanced infrastructure metrics preference.

A status of Active confirms that the preference is applied in the latest recommendation refresh, and a status of Inactive confirms that it's not yet applied to recommendations.

For more information, see Enhanced infrastructure metrics in the Compute Optimizer User Guide.

effectiveRecommendationPreferences_externalMetricsPreference :: Lens' EffectiveRecommendationPreferences (Maybe ExternalMetricsPreference) Source #

An object that describes the external metrics recommendation preference.

If the preference is applied in the latest recommendation refresh, an object with a valid source value appears in the response. If the preference isn't applied to the recommendations already, then this object doesn't appear in the response.

effectiveRecommendationPreferences_inferredWorkloadTypes :: Lens' EffectiveRecommendationPreferences (Maybe InferredWorkloadTypesPreference) Source #

Describes the activation status of the inferred workload types preference.

A status of Active confirms that the preference is applied in the latest recommendation refresh. A status of Inactive confirms that it's not yet applied to recommendations.

EnrollmentFilter

data EnrollmentFilter Source #

Describes a filter that returns a more specific list of account enrollment statuses. Use this filter with the GetEnrollmentStatusesForOrganization action.

See: newEnrollmentFilter smart constructor.

Constructors

EnrollmentFilter'
Fields name :: Maybe EnrollmentFilterName The name of the filter. Specify `Status` to return accounts with a specific enrollment status (for example, `Active`). values :: Maybe [Text] The value of the filter. The valid values are `Active`, `Inactive`, `Pending`, and `Failed`.

Instances

Instances details

ToJSON EnrollmentFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnrollmentFilter Methods toJSON :: EnrollmentFilter -> Value # toEncoding :: EnrollmentFilter -> Encoding # toJSONList :: [EnrollmentFilter] -> Value # toEncodingList :: [EnrollmentFilter] -> Encoding #
Generic EnrollmentFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnrollmentFilter Associated Types type Rep EnrollmentFilter :: Type -> Type # Methods from :: EnrollmentFilter -> Rep EnrollmentFilter x # to :: Rep EnrollmentFilter x -> EnrollmentFilter #
Read EnrollmentFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnrollmentFilter Methods readsPrec :: Int -> ReadS EnrollmentFilter # readList :: ReadS [EnrollmentFilter] # readPrec :: ReadPrec EnrollmentFilter # readListPrec :: ReadPrec [EnrollmentFilter] #
Show EnrollmentFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnrollmentFilter Methods showsPrec :: Int -> EnrollmentFilter -> ShowS # show :: EnrollmentFilter -> String # showList :: [EnrollmentFilter] -> ShowS #
NFData EnrollmentFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnrollmentFilter Methods rnf :: EnrollmentFilter -> () #
Eq EnrollmentFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnrollmentFilter Methods (==) :: EnrollmentFilter -> EnrollmentFilter -> Bool # (/=) :: EnrollmentFilter -> EnrollmentFilter -> Bool #
Hashable EnrollmentFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnrollmentFilter Methods hashWithSalt :: Int -> EnrollmentFilter -> Int # hash :: EnrollmentFilter -> Int #
type Rep EnrollmentFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EnrollmentFilter type Rep EnrollmentFilter = D1 ('MetaData "EnrollmentFilter" "Amazonka.ComputeOptimizer.Types.EnrollmentFilter" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "EnrollmentFilter'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EnrollmentFilterName)) :*: S1 ('MetaSel ('Just "values") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text]))))

newEnrollmentFilter :: EnrollmentFilter Source #

Create a value of EnrollmentFilter with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:name:EnrollmentFilter', enrollmentFilter_name - The name of the filter.

Specify Status to return accounts with a specific enrollment status (for example, Active).

$sel:values:EnrollmentFilter', enrollmentFilter_values - The value of the filter.

The valid values are Active, Inactive, Pending, and Failed.

enrollmentFilter_name :: Lens' EnrollmentFilter (Maybe EnrollmentFilterName) Source #

The name of the filter.

Specify Status to return accounts with a specific enrollment status (for example, Active).

enrollmentFilter_values :: Lens' EnrollmentFilter (Maybe [Text]) Source #

The value of the filter.

The valid values are Active, Inactive, Pending, and Failed.

EstimatedMonthlySavings

data EstimatedMonthlySavings Source #

Describes the estimated monthly savings amount possible, based on On-Demand instance pricing, by adopting Compute Optimizer recommendations for a given resource.

For more information, see Estimated monthly savings and savings opportunities in the Compute Optimizer User Guide.

See: newEstimatedMonthlySavings smart constructor.

Constructors

EstimatedMonthlySavings'
Fields currency :: Maybe Currency The currency of the estimated monthly savings. value :: Maybe Double The value of the estimated monthly savings.

Instances

Instances details

FromJSON EstimatedMonthlySavings Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EstimatedMonthlySavings Methods parseJSON :: Value -> Parser EstimatedMonthlySavings # parseJSONList :: Value -> Parser [EstimatedMonthlySavings] #
Generic EstimatedMonthlySavings Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EstimatedMonthlySavings Associated Types type Rep EstimatedMonthlySavings :: Type -> Type # Methods from :: EstimatedMonthlySavings -> Rep EstimatedMonthlySavings x # to :: Rep EstimatedMonthlySavings x -> EstimatedMonthlySavings #
Read EstimatedMonthlySavings Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EstimatedMonthlySavings Methods readsPrec :: Int -> ReadS EstimatedMonthlySavings # readList :: ReadS [EstimatedMonthlySavings] # readPrec :: ReadPrec EstimatedMonthlySavings # readListPrec :: ReadPrec [EstimatedMonthlySavings] #
Show EstimatedMonthlySavings Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EstimatedMonthlySavings Methods showsPrec :: Int -> EstimatedMonthlySavings -> ShowS # show :: EstimatedMonthlySavings -> String # showList :: [EstimatedMonthlySavings] -> ShowS #
NFData EstimatedMonthlySavings Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EstimatedMonthlySavings Methods rnf :: EstimatedMonthlySavings -> () #
Eq EstimatedMonthlySavings Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EstimatedMonthlySavings Methods (==) :: EstimatedMonthlySavings -> EstimatedMonthlySavings -> Bool # (/=) :: EstimatedMonthlySavings -> EstimatedMonthlySavings -> Bool #
Hashable EstimatedMonthlySavings Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EstimatedMonthlySavings Methods hashWithSalt :: Int -> EstimatedMonthlySavings -> Int # hash :: EstimatedMonthlySavings -> Int #
type Rep EstimatedMonthlySavings Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.EstimatedMonthlySavings type Rep EstimatedMonthlySavings = D1 ('MetaData "EstimatedMonthlySavings" "Amazonka.ComputeOptimizer.Types.EstimatedMonthlySavings" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "EstimatedMonthlySavings'" 'PrefixI 'True) (S1 ('MetaSel ('Just "currency") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Currency)) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))

newEstimatedMonthlySavings :: EstimatedMonthlySavings Source #

Create a value of EstimatedMonthlySavings with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:currency:EstimatedMonthlySavings', estimatedMonthlySavings_currency - The currency of the estimated monthly savings.

$sel:value:EstimatedMonthlySavings', estimatedMonthlySavings_value - The value of the estimated monthly savings.

estimatedMonthlySavings_currency :: Lens' EstimatedMonthlySavings (Maybe Currency) Source #

The currency of the estimated monthly savings.

estimatedMonthlySavings_value :: Lens' EstimatedMonthlySavings (Maybe Double) Source #

The value of the estimated monthly savings.

ExportDestination

data ExportDestination Source #

Describes the destination of the recommendations export and metadata files.

See: newExportDestination smart constructor.

Constructors

ExportDestination'
Fields s3 :: Maybe S3Destination An object that describes the destination Amazon Simple Storage Service (Amazon S3) bucket name and object keys of a recommendations export file, and its associated metadata file.

Instances

Instances details

FromJSON ExportDestination Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportDestination Methods parseJSON :: Value -> Parser ExportDestination # parseJSONList :: Value -> Parser [ExportDestination] #
Generic ExportDestination Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportDestination Associated Types type Rep ExportDestination :: Type -> Type # Methods from :: ExportDestination -> Rep ExportDestination x # to :: Rep ExportDestination x -> ExportDestination #
Read ExportDestination Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportDestination Methods readsPrec :: Int -> ReadS ExportDestination # readList :: ReadS [ExportDestination] # readPrec :: ReadPrec ExportDestination # readListPrec :: ReadPrec [ExportDestination] #
Show ExportDestination Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportDestination Methods showsPrec :: Int -> ExportDestination -> ShowS # show :: ExportDestination -> String # showList :: [ExportDestination] -> ShowS #
NFData ExportDestination Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportDestination Methods rnf :: ExportDestination -> () #
Eq ExportDestination Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportDestination Methods (==) :: ExportDestination -> ExportDestination -> Bool # (/=) :: ExportDestination -> ExportDestination -> Bool #
Hashable ExportDestination Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportDestination Methods hashWithSalt :: Int -> ExportDestination -> Int # hash :: ExportDestination -> Int #
type Rep ExportDestination Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExportDestination type Rep ExportDestination = D1 ('MetaData "ExportDestination" "Amazonka.ComputeOptimizer.Types.ExportDestination" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "ExportDestination'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe S3Destination))))

newExportDestination :: ExportDestination Source #

Create a value of ExportDestination with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3:ExportDestination', exportDestination_s3 - An object that describes the destination Amazon Simple Storage Service (Amazon S3) bucket name and object keys of a recommendations export file, and its associated metadata file.

exportDestination_s3 :: Lens' ExportDestination (Maybe S3Destination) Source #

An object that describes the destination Amazon Simple Storage Service (Amazon S3) bucket name and object keys of a recommendations export file, and its associated metadata file.

ExternalMetricsPreference

data ExternalMetricsPreference Source #

Describes the external metrics preferences for EC2 rightsizing recommendations.

See: newExternalMetricsPreference smart constructor.

Constructors

ExternalMetricsPreference'
Fields source :: Maybe ExternalMetricsSource Contains the source options for external metrics preferences.

Instances

Instances details

FromJSON ExternalMetricsPreference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExternalMetricsPreference Methods parseJSON :: Value -> Parser ExternalMetricsPreference # parseJSONList :: Value -> Parser [ExternalMetricsPreference] #
ToJSON ExternalMetricsPreference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExternalMetricsPreference Methods toJSON :: ExternalMetricsPreference -> Value # toEncoding :: ExternalMetricsPreference -> Encoding # toJSONList :: [ExternalMetricsPreference] -> Value # toEncodingList :: [ExternalMetricsPreference] -> Encoding #
Generic ExternalMetricsPreference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExternalMetricsPreference Associated Types type Rep ExternalMetricsPreference :: Type -> Type # Methods from :: ExternalMetricsPreference -> Rep ExternalMetricsPreference x # to :: Rep ExternalMetricsPreference x -> ExternalMetricsPreference #
Read ExternalMetricsPreference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExternalMetricsPreference Methods readsPrec :: Int -> ReadS ExternalMetricsPreference # readList :: ReadS [ExternalMetricsPreference] # readPrec :: ReadPrec ExternalMetricsPreference # readListPrec :: ReadPrec [ExternalMetricsPreference] #
Show ExternalMetricsPreference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExternalMetricsPreference Methods showsPrec :: Int -> ExternalMetricsPreference -> ShowS # show :: ExternalMetricsPreference -> String # showList :: [ExternalMetricsPreference] -> ShowS #
NFData ExternalMetricsPreference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExternalMetricsPreference Methods rnf :: ExternalMetricsPreference -> () #
Eq ExternalMetricsPreference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExternalMetricsPreference Methods (==) :: ExternalMetricsPreference -> ExternalMetricsPreference -> Bool # (/=) :: ExternalMetricsPreference -> ExternalMetricsPreference -> Bool #
Hashable ExternalMetricsPreference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExternalMetricsPreference Methods hashWithSalt :: Int -> ExternalMetricsPreference -> Int # hash :: ExternalMetricsPreference -> Int #
type Rep ExternalMetricsPreference Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ExternalMetricsPreference type Rep ExternalMetricsPreference = D1 ('MetaData "ExternalMetricsPreference" "Amazonka.ComputeOptimizer.Types.ExternalMetricsPreference" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "ExternalMetricsPreference'" 'PrefixI 'True) (S1 ('MetaSel ('Just "source") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ExternalMetricsSource))))

newExternalMetricsPreference :: ExternalMetricsPreference Source #

Create a value of ExternalMetricsPreference with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:source:ExternalMetricsPreference', externalMetricsPreference_source - Contains the source options for external metrics preferences.

externalMetricsPreference_source :: Lens' ExternalMetricsPreference (Maybe ExternalMetricsSource) Source #

Contains the source options for external metrics preferences.

Filter

data Filter Source #

Describes a filter that returns a more specific list of recommendations. Use this filter with the GetAutoScalingGroupRecommendations and GetEC2InstanceRecommendations actions.

You can use EBSFilter with the GetEBSVolumeRecommendations action, LambdaFunctionRecommendationFilter with the GetLambdaFunctionRecommendations action, and JobFilter with the DescribeRecommendationExportJobs action.

See: newFilter smart constructor.

Constructors

Filter'

Fields

name :: Maybe FilterName
The name of the filter.
Specify Finding to return recommendations with a specific finding classification (for example, Underprovisioned).
Specify RecommendationSourceType to return recommendations of a specific resource type (for example, Ec2Instance).
Specify FindingReasonCodes to return recommendations with a specific finding reason code (for example, CPUUnderprovisioned).
values :: Maybe [Text]
The value of the filter.
The valid values for this parameter are as follows, depending on what you specify for the name parameter and the resource type that you wish to filter results for:
- Specify Optimized or NotOptimized if you specify the name parameter as Finding and you want to filter results for Auto Scaling groups.
- Specify Underprovisioned, Overprovisioned, or Optimized if you specify the name parameter as Finding and you want to filter results for EC2 instances.
- Specify Ec2Instance or AutoScalingGroup if you specify the name parameter as RecommendationSourceType.
- Specify one of the following options if you specify the name parameter as FindingReasonCodes:
  - CPUOverprovisioned — The instance’s CPU configuration can be sized down while still meeting the performance requirements of your workload.
  - CPUUnderprovisioned — The instance’s CPU configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better CPU performance.
  - MemoryOverprovisioned — The instance’s memory configuration can be sized down while still meeting the performance requirements of your workload.
  - MemoryUnderprovisioned — The instance’s memory configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better memory performance.
  - EBSThroughputOverprovisioned — The instance’s EBS throughput configuration can be sized down while still meeting the performance requirements of your workload.
  - EBSThroughputUnderprovisioned — The instance’s EBS throughput configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better EBS throughput performance.
  - EBSIOPSOverprovisioned — The instance’s EBS IOPS configuration can be sized down while still meeting the performance requirements of your workload.
  - EBSIOPSUnderprovisioned — The instance’s EBS IOPS configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better EBS IOPS performance.
  - NetworkBandwidthOverprovisioned — The instance’s network bandwidth configuration can be sized down while still meeting the performance requirements of your workload.
  - NetworkBandwidthUnderprovisioned — The instance’s network bandwidth configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better network bandwidth performance. This finding reason happens when the NetworkIn or NetworkOut performance of an instance is impacted.
  - NetworkPPSOverprovisioned — The instance’s network PPS (packets per second) configuration can be sized down while still meeting the performance requirements of your workload.
  - NetworkPPSUnderprovisioned — The instance’s network PPS (packets per second) configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better network PPS performance.
  - DiskIOPSOverprovisioned — The instance’s disk IOPS configuration can be sized down while still meeting the performance requirements of your workload.
  - DiskIOPSUnderprovisioned — The instance’s disk IOPS configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better disk IOPS performance.
  - DiskThroughputOverprovisioned — The instance’s disk throughput configuration can be sized down while still meeting the performance requirements of your workload.
  - DiskThroughputUnderprovisioned — The instance’s disk throughput configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better disk throughput performance.

Instances

Instances details

ToJSON Filter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Filter Methods toJSON :: Filter -> Value # toEncoding :: Filter -> Encoding # toJSONList :: [Filter] -> Value # toEncodingList :: [Filter] -> Encoding #
Generic Filter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Filter Associated Types type Rep Filter :: Type -> Type # Methods from :: Filter -> Rep Filter x # to :: Rep Filter x -> Filter #
Read Filter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Filter Methods readsPrec :: Int -> ReadS Filter # readList :: ReadS [Filter] # readPrec :: ReadPrec Filter # readListPrec :: ReadPrec [Filter] #
Show Filter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Filter Methods showsPrec :: Int -> Filter -> ShowS # show :: Filter -> String # showList :: [Filter] -> ShowS #
NFData Filter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Filter Methods rnf :: Filter -> () #
Eq Filter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Filter Methods (==) :: Filter -> Filter -> Bool # (/=) :: Filter -> Filter -> Bool #
Hashable Filter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Filter Methods hashWithSalt :: Int -> Filter -> Int # hash :: Filter -> Int #
type Rep Filter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Filter type Rep Filter = D1 ('MetaData "Filter" "Amazonka.ComputeOptimizer.Types.Filter" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "Filter'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FilterName)) :*: S1 ('MetaSel ('Just "values") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text]))))

newFilter :: Filter Source #

Create a value of Filter with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:name:Filter', filter_name - The name of the filter.

Specify Finding to return recommendations with a specific finding classification (for example, Underprovisioned).

Specify RecommendationSourceType to return recommendations of a specific resource type (for example, Ec2Instance).

Specify FindingReasonCodes to return recommendations with a specific finding reason code (for example, CPUUnderprovisioned).

$sel:values:Filter', filter_values - The value of the filter.

The valid values for this parameter are as follows, depending on what you specify for the name parameter and the resource type that you wish to filter results for:

Specify Optimized or NotOptimized if you specify the name parameter as Finding and you want to filter results for Auto Scaling groups.
Specify Underprovisioned, Overprovisioned, or Optimized if you specify the name parameter as Finding and you want to filter results for EC2 instances.
Specify Ec2Instance or AutoScalingGroup if you specify the name parameter as RecommendationSourceType.
Specify one of the following options if you specify the name parameter as FindingReasonCodes:
- CPUOverprovisioned — The instance’s CPU configuration can be sized down while still meeting the performance requirements of your workload.
- CPUUnderprovisioned — The instance’s CPU configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better CPU performance.
- MemoryOverprovisioned — The instance’s memory configuration can be sized down while still meeting the performance requirements of your workload.
- MemoryUnderprovisioned — The instance’s memory configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better memory performance.
- EBSThroughputOverprovisioned — The instance’s EBS throughput configuration can be sized down while still meeting the performance requirements of your workload.
- EBSThroughputUnderprovisioned — The instance’s EBS throughput configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better EBS throughput performance.
- EBSIOPSOverprovisioned — The instance’s EBS IOPS configuration can be sized down while still meeting the performance requirements of your workload.
- EBSIOPSUnderprovisioned — The instance’s EBS IOPS configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better EBS IOPS performance.
- NetworkBandwidthOverprovisioned — The instance’s network bandwidth configuration can be sized down while still meeting the performance requirements of your workload.
- NetworkBandwidthUnderprovisioned — The instance’s network bandwidth configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better network bandwidth performance. This finding reason happens when the NetworkIn or NetworkOut performance of an instance is impacted.
- NetworkPPSOverprovisioned — The instance’s network PPS (packets per second) configuration can be sized down while still meeting the performance requirements of your workload.
- NetworkPPSUnderprovisioned — The instance’s network PPS (packets per second) configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better network PPS performance.
- DiskIOPSOverprovisioned — The instance’s disk IOPS configuration can be sized down while still meeting the performance requirements of your workload.
- DiskIOPSUnderprovisioned — The instance’s disk IOPS configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better disk IOPS performance.
- DiskThroughputOverprovisioned — The instance’s disk throughput configuration can be sized down while still meeting the performance requirements of your workload.
- DiskThroughputUnderprovisioned — The instance’s disk throughput configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better disk throughput performance.

filter_name :: Lens' Filter (Maybe FilterName) Source #

The name of the filter.

Specify Finding to return recommendations with a specific finding classification (for example, Underprovisioned).

Specify RecommendationSourceType to return recommendations of a specific resource type (for example, Ec2Instance).

Specify FindingReasonCodes to return recommendations with a specific finding reason code (for example, CPUUnderprovisioned).

filter_values :: Lens' Filter (Maybe [Text]) Source #

The value of the filter.

The valid values for this parameter are as follows, depending on what you specify for the name parameter and the resource type that you wish to filter results for:

Specify Optimized or NotOptimized if you specify the name parameter as Finding and you want to filter results for Auto Scaling groups.
Specify Underprovisioned, Overprovisioned, or Optimized if you specify the name parameter as Finding and you want to filter results for EC2 instances.
Specify Ec2Instance or AutoScalingGroup if you specify the name parameter as RecommendationSourceType.
Specify one of the following options if you specify the name parameter as FindingReasonCodes:
- CPUOverprovisioned — The instance’s CPU configuration can be sized down while still meeting the performance requirements of your workload.
- CPUUnderprovisioned — The instance’s CPU configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better CPU performance.
- MemoryOverprovisioned — The instance’s memory configuration can be sized down while still meeting the performance requirements of your workload.
- MemoryUnderprovisioned — The instance’s memory configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better memory performance.
- EBSThroughputOverprovisioned — The instance’s EBS throughput configuration can be sized down while still meeting the performance requirements of your workload.
- EBSThroughputUnderprovisioned — The instance’s EBS throughput configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better EBS throughput performance.
- EBSIOPSOverprovisioned — The instance’s EBS IOPS configuration can be sized down while still meeting the performance requirements of your workload.
- EBSIOPSUnderprovisioned — The instance’s EBS IOPS configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better EBS IOPS performance.
- NetworkBandwidthOverprovisioned — The instance’s network bandwidth configuration can be sized down while still meeting the performance requirements of your workload.
- NetworkBandwidthUnderprovisioned — The instance’s network bandwidth configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better network bandwidth performance. This finding reason happens when the NetworkIn or NetworkOut performance of an instance is impacted.
- NetworkPPSOverprovisioned — The instance’s network PPS (packets per second) configuration can be sized down while still meeting the performance requirements of your workload.
- NetworkPPSUnderprovisioned — The instance’s network PPS (packets per second) configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better network PPS performance.
- DiskIOPSOverprovisioned — The instance’s disk IOPS configuration can be sized down while still meeting the performance requirements of your workload.
- DiskIOPSUnderprovisioned — The instance’s disk IOPS configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better disk IOPS performance.
- DiskThroughputOverprovisioned — The instance’s disk throughput configuration can be sized down while still meeting the performance requirements of your workload.
- DiskThroughputUnderprovisioned — The instance’s disk throughput configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better disk throughput performance.

GetRecommendationError

data GetRecommendationError Source #

Describes an error experienced when getting recommendations.

For example, an error is returned if you request recommendations for an unsupported Auto Scaling group, or if you request recommendations for an instance of an unsupported instance family.

See: newGetRecommendationError smart constructor.

Constructors

GetRecommendationError'
Fields code :: Maybe Text The error code. identifier :: Maybe Text The ID of the error. message :: Maybe Text The message, or reason, for the error.

Instances

Instances details

FromJSON GetRecommendationError Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.GetRecommendationError Methods parseJSON :: Value -> Parser GetRecommendationError # parseJSONList :: Value -> Parser [GetRecommendationError] #
Generic GetRecommendationError Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.GetRecommendationError Associated Types type Rep GetRecommendationError :: Type -> Type # Methods from :: GetRecommendationError -> Rep GetRecommendationError x # to :: Rep GetRecommendationError x -> GetRecommendationError #
Read GetRecommendationError Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.GetRecommendationError Methods readsPrec :: Int -> ReadS GetRecommendationError # readList :: ReadS [GetRecommendationError] # readPrec :: ReadPrec GetRecommendationError # readListPrec :: ReadPrec [GetRecommendationError] #
Show GetRecommendationError Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.GetRecommendationError Methods showsPrec :: Int -> GetRecommendationError -> ShowS # show :: GetRecommendationError -> String # showList :: [GetRecommendationError] -> ShowS #
NFData GetRecommendationError Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.GetRecommendationError Methods rnf :: GetRecommendationError -> () #
Eq GetRecommendationError Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.GetRecommendationError Methods (==) :: GetRecommendationError -> GetRecommendationError -> Bool # (/=) :: GetRecommendationError -> GetRecommendationError -> Bool #
Hashable GetRecommendationError Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.GetRecommendationError Methods hashWithSalt :: Int -> GetRecommendationError -> Int # hash :: GetRecommendationError -> Int #
type Rep GetRecommendationError Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.GetRecommendationError type Rep GetRecommendationError = D1 ('MetaData "GetRecommendationError" "Amazonka.ComputeOptimizer.Types.GetRecommendationError" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "GetRecommendationError'" 'PrefixI 'True) (S1 ('MetaSel ('Just "code") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "identifier") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newGetRecommendationError :: GetRecommendationError Source #

Create a value of GetRecommendationError with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:code:GetRecommendationError', getRecommendationError_code - The error code.

$sel:identifier:GetRecommendationError', getRecommendationError_identifier - The ID of the error.

$sel:message:GetRecommendationError', getRecommendationError_message - The message, or reason, for the error.

getRecommendationError_code :: Lens' GetRecommendationError (Maybe Text) Source #

The error code.

getRecommendationError_identifier :: Lens' GetRecommendationError (Maybe Text) Source #

The ID of the error.

getRecommendationError_message :: Lens' GetRecommendationError (Maybe Text) Source #

The message, or reason, for the error.

InstanceRecommendation

data InstanceRecommendation Source #

Describes an Amazon EC2 instance recommendation.

See: newInstanceRecommendation smart constructor.

Constructors

InstanceRecommendation'

Fields

accountId :: Maybe Text
The Amazon Web Services account ID of the instance.
currentInstanceType :: Maybe Text
The instance type of the current instance.
currentPerformanceRisk :: Maybe CurrentPerformanceRisk
The risk of the current instance not meeting the performance needs of its workloads. The higher the risk, the more likely the current instance cannot meet the performance requirements of its workload.
effectiveRecommendationPreferences :: Maybe EffectiveRecommendationPreferences
An object that describes the effective recommendation preferences for the instance.
finding :: Maybe Finding
The finding classification of the instance.
Findings for instances include:
- Underprovisioned —An instance is considered under-provisioned when at least one specification of your instance, such as CPU, memory, or network, does not meet the performance requirements of your workload. Under-provisioned instances may lead to poor application performance.
- Overprovisioned —An instance is considered over-provisioned when at least one specification of your instance, such as CPU, memory, or network, can be sized down while still meeting the performance requirements of your workload, and no specification is under-provisioned. Over-provisioned instances may lead to unnecessary infrastructure cost.
- Optimized —An instance is considered optimized when all specifications of your instance, such as CPU, memory, and network, meet the performance requirements of your workload and is not over provisioned. For optimized resources, Compute Optimizer might recommend a new generation instance type.
findingReasonCodes :: Maybe [InstanceRecommendationFindingReasonCode]
The reason for the finding classification of the instance.
Finding reason codes for instances include:
- CPUOverprovisioned — The instance’s CPU configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the CPUUtilization metric of the current instance during the look-back period.
- CPUUnderprovisioned — The instance’s CPU configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better CPU performance. This is identified by analyzing the CPUUtilization metric of the current instance during the look-back period.
- MemoryOverprovisioned — The instance’s memory configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the memory utilization metric of the current instance during the look-back period.
- MemoryUnderprovisioned — The instance’s memory configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better memory performance. This is identified by analyzing the memory utilization metric of the current instance during the look-back period.
  Memory utilization is analyzed only for resources that have the unified CloudWatch agent installed on them. For more information, see Enabling memory utilization with the Amazon CloudWatch Agent in the Compute Optimizer User Guide. On Linux instances, Compute Optimizer analyses the mem_used_percent metric in the CWAgent namespace, or the legacy MemoryUtilization metric in the System/Linux namespace. On Windows instances, Compute Optimizer analyses the Memory % Committed Bytes In Use metric in the CWAgent namespace.
- EBSThroughputOverprovisioned — The instance’s EBS throughput configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the VolumeReadOps and VolumeWriteOps metrics of EBS volumes attached to the current instance during the look-back period.
- EBSThroughputUnderprovisioned — The instance’s EBS throughput configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better EBS throughput performance. This is identified by analyzing the VolumeReadOps and VolumeWriteOps metrics of EBS volumes attached to the current instance during the look-back period.
- EBSIOPSOverprovisioned — The instance’s EBS IOPS configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the VolumeReadBytes and VolumeWriteBytes metric of EBS volumes attached to the current instance during the look-back period.
- EBSIOPSUnderprovisioned — The instance’s EBS IOPS configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better EBS IOPS performance. This is identified by analyzing the VolumeReadBytes and VolumeWriteBytes metric of EBS volumes attached to the current instance during the look-back period.
- NetworkBandwidthOverprovisioned — The instance’s network bandwidth configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the NetworkIn and NetworkOut metrics of the current instance during the look-back period.
- NetworkBandwidthUnderprovisioned — The instance’s network bandwidth configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better network bandwidth performance. This is identified by analyzing the NetworkIn and NetworkOut metrics of the current instance during the look-back period. This finding reason happens when the NetworkIn or NetworkOut performance of an instance is impacted.
- NetworkPPSOverprovisioned — The instance’s network PPS (packets per second) configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the NetworkPacketsIn and NetworkPacketsIn metrics of the current instance during the look-back period.
- NetworkPPSUnderprovisioned — The instance’s network PPS (packets per second) configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better network PPS performance. This is identified by analyzing the NetworkPacketsIn and NetworkPacketsIn metrics of the current instance during the look-back period.
- DiskIOPSOverprovisioned — The instance’s disk IOPS configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the DiskReadOps and DiskWriteOps metrics of the current instance during the look-back period.
- DiskIOPSUnderprovisioned — The instance’s disk IOPS configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better disk IOPS performance. This is identified by analyzing the DiskReadOps and DiskWriteOps metrics of the current instance during the look-back period.
- DiskThroughputOverprovisioned — The instance’s disk throughput configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the DiskReadBytes and DiskWriteBytes metrics of the current instance during the look-back period.
- DiskThroughputUnderprovisioned — The instance’s disk throughput configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better disk throughput performance. This is identified by analyzing the DiskReadBytes and DiskWriteBytes metrics of the current instance during the look-back period.
For more information about instance metrics, see List the available CloudWatch metrics for your instances in the Amazon Elastic Compute Cloud User Guide. For more information about EBS volume metrics, see Amazon CloudWatch metrics for Amazon EBS in the Amazon Elastic Compute Cloud User Guide.
inferredWorkloadTypes :: Maybe [InferredWorkloadType]
The applications that might be running on the instance as inferred by Compute Optimizer.
Compute Optimizer can infer if one of the following applications might be running on the instance:
- AmazonEmr - Infers that Amazon EMR might be running on the instance.
- ApacheCassandra - Infers that Apache Cassandra might be running on the instance.
- ApacheHadoop - Infers that Apache Hadoop might be running on the instance.
- Memcached - Infers that Memcached might be running on the instance.
- NGINX - Infers that NGINX might be running on the instance.
- PostgreSql - Infers that PostgreSQL might be running on the instance.
- Redis - Infers that Redis might be running on the instance.
instanceArn :: Maybe Text
The Amazon Resource Name (ARN) of the current instance.
instanceName :: Maybe Text
The name of the current instance.
lastRefreshTimestamp :: Maybe POSIX
The timestamp of when the instance recommendation was last generated.
lookBackPeriodInDays :: Maybe Double
The number of days for which utilization metrics were analyzed for the instance.
recommendationOptions :: Maybe [InstanceRecommendationOption]
An array of objects that describe the recommendation options for the instance.
recommendationSources :: Maybe [RecommendationSource]
An array of objects that describe the source resource of the recommendation.
utilizationMetrics :: Maybe [UtilizationMetric]
An array of objects that describe the utilization metrics of the instance.

Instances

Instances details

FromJSON InstanceRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InstanceRecommendation Methods parseJSON :: Value -> Parser InstanceRecommendation # parseJSONList :: Value -> Parser [InstanceRecommendation] #
Generic InstanceRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InstanceRecommendation Associated Types type Rep InstanceRecommendation :: Type -> Type # Methods from :: InstanceRecommendation -> Rep InstanceRecommendation x # to :: Rep InstanceRecommendation x -> InstanceRecommendation #
Read InstanceRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InstanceRecommendation Methods readsPrec :: Int -> ReadS InstanceRecommendation # readList :: ReadS [InstanceRecommendation] # readPrec :: ReadPrec InstanceRecommendation # readListPrec :: ReadPrec [InstanceRecommendation] #
Show InstanceRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InstanceRecommendation Methods showsPrec :: Int -> InstanceRecommendation -> ShowS # show :: InstanceRecommendation -> String # showList :: [InstanceRecommendation] -> ShowS #
NFData InstanceRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InstanceRecommendation Methods rnf :: InstanceRecommendation -> () #
Eq InstanceRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InstanceRecommendation Methods (==) :: InstanceRecommendation -> InstanceRecommendation -> Bool # (/=) :: InstanceRecommendation -> InstanceRecommendation -> Bool #
Hashable InstanceRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InstanceRecommendation Methods hashWithSalt :: Int -> InstanceRecommendation -> Int # hash :: InstanceRecommendation -> Int #
type Rep InstanceRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InstanceRecommendation type Rep InstanceRecommendation = D1 ('MetaData "InstanceRecommendation" "Amazonka.ComputeOptimizer.Types.InstanceRecommendation" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "InstanceRecommendation'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "accountId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "currentInstanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "currentPerformanceRisk") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CurrentPerformanceRisk)))) :: ((S1 ('MetaSel ('Just "effectiveRecommendationPreferences") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EffectiveRecommendationPreferences)) :: S1 ('MetaSel ('Just "finding") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Finding))) :: (S1 ('MetaSel ('Just "findingReasonCodes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [InstanceRecommendationFindingReasonCode])) :: S1 ('MetaSel ('Just "inferredWorkloadTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [InferredWorkloadType]))))) :: ((S1 ('MetaSel ('Just "instanceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "instanceName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "lastRefreshTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))) :: ((S1 ('MetaSel ('Just "lookBackPeriodInDays") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "recommendationOptions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [InstanceRecommendationOption]))) :: (S1 ('MetaSel ('Just "recommendationSources") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [RecommendationSource])) :*: S1 ('MetaSel ('Just "utilizationMetrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [UtilizationMetric])))))))

newInstanceRecommendation :: InstanceRecommendation Source #

Create a value of InstanceRecommendation with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:accountId:InstanceRecommendation', instanceRecommendation_accountId - The Amazon Web Services account ID of the instance.

$sel:currentInstanceType:InstanceRecommendation', instanceRecommendation_currentInstanceType - The instance type of the current instance.

$sel:currentPerformanceRisk:InstanceRecommendation', instanceRecommendation_currentPerformanceRisk - The risk of the current instance not meeting the performance needs of its workloads. The higher the risk, the more likely the current instance cannot meet the performance requirements of its workload.

$sel:effectiveRecommendationPreferences:InstanceRecommendation', instanceRecommendation_effectiveRecommendationPreferences - An object that describes the effective recommendation preferences for the instance.

$sel:finding:InstanceRecommendation', instanceRecommendation_finding - The finding classification of the instance.

Findings for instances include:

Underprovisioned —An instance is considered under-provisioned when at least one specification of your instance, such as CPU, memory, or network, does not meet the performance requirements of your workload. Under-provisioned instances may lead to poor application performance.
Overprovisioned —An instance is considered over-provisioned when at least one specification of your instance, such as CPU, memory, or network, can be sized down while still meeting the performance requirements of your workload, and no specification is under-provisioned. Over-provisioned instances may lead to unnecessary infrastructure cost.
Optimized —An instance is considered optimized when all specifications of your instance, such as CPU, memory, and network, meet the performance requirements of your workload and is not over provisioned. For optimized resources, Compute Optimizer might recommend a new generation instance type.

$sel:findingReasonCodes:InstanceRecommendation', instanceRecommendation_findingReasonCodes - The reason for the finding classification of the instance.

Finding reason codes for instances include:

CPUOverprovisioned — The instance’s CPU configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the CPUUtilization metric of the current instance during the look-back period.
CPUUnderprovisioned — The instance’s CPU configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better CPU performance. This is identified by analyzing the CPUUtilization metric of the current instance during the look-back period.
MemoryOverprovisioned — The instance’s memory configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the memory utilization metric of the current instance during the look-back period.
MemoryUnderprovisioned — The instance’s memory configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better memory performance. This is identified by analyzing the memory utilization metric of the current instance during the look-back period.
Memory utilization is analyzed only for resources that have the unified CloudWatch agent installed on them. For more information, see Enabling memory utilization with the Amazon CloudWatch Agent in the Compute Optimizer User Guide. On Linux instances, Compute Optimizer analyses the mem_used_percent metric in the CWAgent namespace, or the legacy MemoryUtilization metric in the System/Linux namespace. On Windows instances, Compute Optimizer analyses the Memory % Committed Bytes In Use metric in the CWAgent namespace.
EBSThroughputOverprovisioned — The instance’s EBS throughput configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the VolumeReadOps and VolumeWriteOps metrics of EBS volumes attached to the current instance during the look-back period.
EBSThroughputUnderprovisioned — The instance’s EBS throughput configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better EBS throughput performance. This is identified by analyzing the VolumeReadOps and VolumeWriteOps metrics of EBS volumes attached to the current instance during the look-back period.
EBSIOPSOverprovisioned — The instance’s EBS IOPS configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the VolumeReadBytes and VolumeWriteBytes metric of EBS volumes attached to the current instance during the look-back period.
EBSIOPSUnderprovisioned — The instance’s EBS IOPS configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better EBS IOPS performance. This is identified by analyzing the VolumeReadBytes and VolumeWriteBytes metric of EBS volumes attached to the current instance during the look-back period.
NetworkBandwidthOverprovisioned — The instance’s network bandwidth configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the NetworkIn and NetworkOut metrics of the current instance during the look-back period.
NetworkBandwidthUnderprovisioned — The instance’s network bandwidth configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better network bandwidth performance. This is identified by analyzing the NetworkIn and NetworkOut metrics of the current instance during the look-back period. This finding reason happens when the NetworkIn or NetworkOut performance of an instance is impacted.
NetworkPPSOverprovisioned — The instance’s network PPS (packets per second) configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the NetworkPacketsIn and NetworkPacketsIn metrics of the current instance during the look-back period.
NetworkPPSUnderprovisioned — The instance’s network PPS (packets per second) configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better network PPS performance. This is identified by analyzing the NetworkPacketsIn and NetworkPacketsIn metrics of the current instance during the look-back period.
DiskIOPSOverprovisioned — The instance’s disk IOPS configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the DiskReadOps and DiskWriteOps metrics of the current instance during the look-back period.
DiskIOPSUnderprovisioned — The instance’s disk IOPS configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better disk IOPS performance. This is identified by analyzing the DiskReadOps and DiskWriteOps metrics of the current instance during the look-back period.
DiskThroughputOverprovisioned — The instance’s disk throughput configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the DiskReadBytes and DiskWriteBytes metrics of the current instance during the look-back period.
DiskThroughputUnderprovisioned — The instance’s disk throughput configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better disk throughput performance. This is identified by analyzing the DiskReadBytes and DiskWriteBytes metrics of the current instance during the look-back period.

For more information about instance metrics, see List the available CloudWatch metrics for your instances in the Amazon Elastic Compute Cloud User Guide. For more information about EBS volume metrics, see Amazon CloudWatch metrics for Amazon EBS in the Amazon Elastic Compute Cloud User Guide.

InstanceRecommendation, instanceRecommendation_inferredWorkloadTypes - The applications that might be running on the instance as inferred by Compute Optimizer.

Compute Optimizer can infer if one of the following applications might be running on the instance:

AmazonEmr - Infers that Amazon EMR might be running on the instance.
ApacheCassandra - Infers that Apache Cassandra might be running on the instance.
ApacheHadoop - Infers that Apache Hadoop might be running on the instance.
Memcached - Infers that Memcached might be running on the instance.
NGINX - Infers that NGINX might be running on the instance.
PostgreSql - Infers that PostgreSQL might be running on the instance.
Redis - Infers that Redis might be running on the instance.

$sel:instanceArn:InstanceRecommendation', instanceRecommendation_instanceArn - The Amazon Resource Name (ARN) of the current instance.

$sel:instanceName:InstanceRecommendation', instanceRecommendation_instanceName - The name of the current instance.

$sel:lastRefreshTimestamp:InstanceRecommendation', instanceRecommendation_lastRefreshTimestamp - The timestamp of when the instance recommendation was last generated.

$sel:lookBackPeriodInDays:InstanceRecommendation', instanceRecommendation_lookBackPeriodInDays - The number of days for which utilization metrics were analyzed for the instance.

$sel:recommendationOptions:InstanceRecommendation', instanceRecommendation_recommendationOptions - An array of objects that describe the recommendation options for the instance.

$sel:recommendationSources:InstanceRecommendation', instanceRecommendation_recommendationSources - An array of objects that describe the source resource of the recommendation.

$sel:utilizationMetrics:InstanceRecommendation', instanceRecommendation_utilizationMetrics - An array of objects that describe the utilization metrics of the instance.

instanceRecommendation_accountId :: Lens' InstanceRecommendation (Maybe Text) Source #

The Amazon Web Services account ID of the instance.

instanceRecommendation_currentInstanceType :: Lens' InstanceRecommendation (Maybe Text) Source #

The instance type of the current instance.

instanceRecommendation_currentPerformanceRisk :: Lens' InstanceRecommendation (Maybe CurrentPerformanceRisk) Source #

The risk of the current instance not meeting the performance needs of its workloads. The higher the risk, the more likely the current instance cannot meet the performance requirements of its workload.

instanceRecommendation_effectiveRecommendationPreferences :: Lens' InstanceRecommendation (Maybe EffectiveRecommendationPreferences) Source #

An object that describes the effective recommendation preferences for the instance.

instanceRecommendation_finding :: Lens' InstanceRecommendation (Maybe Finding) Source #

The finding classification of the instance.

Findings for instances include:

Underprovisioned —An instance is considered under-provisioned when at least one specification of your instance, such as CPU, memory, or network, does not meet the performance requirements of your workload. Under-provisioned instances may lead to poor application performance.
Overprovisioned —An instance is considered over-provisioned when at least one specification of your instance, such as CPU, memory, or network, can be sized down while still meeting the performance requirements of your workload, and no specification is under-provisioned. Over-provisioned instances may lead to unnecessary infrastructure cost.
Optimized —An instance is considered optimized when all specifications of your instance, such as CPU, memory, and network, meet the performance requirements of your workload and is not over provisioned. For optimized resources, Compute Optimizer might recommend a new generation instance type.

instanceRecommendation_findingReasonCodes :: Lens' InstanceRecommendation (Maybe [InstanceRecommendationFindingReasonCode]) Source #

The reason for the finding classification of the instance.

Finding reason codes for instances include:

CPUOverprovisioned — The instance’s CPU configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the CPUUtilization metric of the current instance during the look-back period.
CPUUnderprovisioned — The instance’s CPU configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better CPU performance. This is identified by analyzing the CPUUtilization metric of the current instance during the look-back period.
MemoryOverprovisioned — The instance’s memory configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the memory utilization metric of the current instance during the look-back period.
MemoryUnderprovisioned — The instance’s memory configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better memory performance. This is identified by analyzing the memory utilization metric of the current instance during the look-back period.
Memory utilization is analyzed only for resources that have the unified CloudWatch agent installed on them. For more information, see Enabling memory utilization with the Amazon CloudWatch Agent in the Compute Optimizer User Guide. On Linux instances, Compute Optimizer analyses the mem_used_percent metric in the CWAgent namespace, or the legacy MemoryUtilization metric in the System/Linux namespace. On Windows instances, Compute Optimizer analyses the Memory % Committed Bytes In Use metric in the CWAgent namespace.
EBSThroughputOverprovisioned — The instance’s EBS throughput configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the VolumeReadOps and VolumeWriteOps metrics of EBS volumes attached to the current instance during the look-back period.
EBSThroughputUnderprovisioned — The instance’s EBS throughput configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better EBS throughput performance. This is identified by analyzing the VolumeReadOps and VolumeWriteOps metrics of EBS volumes attached to the current instance during the look-back period.
EBSIOPSOverprovisioned — The instance’s EBS IOPS configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the VolumeReadBytes and VolumeWriteBytes metric of EBS volumes attached to the current instance during the look-back period.
EBSIOPSUnderprovisioned — The instance’s EBS IOPS configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better EBS IOPS performance. This is identified by analyzing the VolumeReadBytes and VolumeWriteBytes metric of EBS volumes attached to the current instance during the look-back period.
NetworkBandwidthOverprovisioned — The instance’s network bandwidth configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the NetworkIn and NetworkOut metrics of the current instance during the look-back period.
NetworkBandwidthUnderprovisioned — The instance’s network bandwidth configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better network bandwidth performance. This is identified by analyzing the NetworkIn and NetworkOut metrics of the current instance during the look-back period. This finding reason happens when the NetworkIn or NetworkOut performance of an instance is impacted.
NetworkPPSOverprovisioned — The instance’s network PPS (packets per second) configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the NetworkPacketsIn and NetworkPacketsIn metrics of the current instance during the look-back period.
NetworkPPSUnderprovisioned — The instance’s network PPS (packets per second) configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better network PPS performance. This is identified by analyzing the NetworkPacketsIn and NetworkPacketsIn metrics of the current instance during the look-back period.
DiskIOPSOverprovisioned — The instance’s disk IOPS configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the DiskReadOps and DiskWriteOps metrics of the current instance during the look-back period.
DiskIOPSUnderprovisioned — The instance’s disk IOPS configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better disk IOPS performance. This is identified by analyzing the DiskReadOps and DiskWriteOps metrics of the current instance during the look-back period.
DiskThroughputOverprovisioned — The instance’s disk throughput configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the DiskReadBytes and DiskWriteBytes metrics of the current instance during the look-back period.
DiskThroughputUnderprovisioned — The instance’s disk throughput configuration doesn't meet the performance requirements of your workload and there is an alternative instance type that provides better disk throughput performance. This is identified by analyzing the DiskReadBytes and DiskWriteBytes metrics of the current instance during the look-back period.

For more information about instance metrics, see List the available CloudWatch metrics for your instances in the Amazon Elastic Compute Cloud User Guide. For more information about EBS volume metrics, see Amazon CloudWatch metrics for Amazon EBS in the Amazon Elastic Compute Cloud User Guide.

instanceRecommendation_inferredWorkloadTypes :: Lens' InstanceRecommendation (Maybe [InferredWorkloadType]) Source #

The applications that might be running on the instance as inferred by Compute Optimizer.

Compute Optimizer can infer if one of the following applications might be running on the instance:

AmazonEmr - Infers that Amazon EMR might be running on the instance.
ApacheCassandra - Infers that Apache Cassandra might be running on the instance.
ApacheHadoop - Infers that Apache Hadoop might be running on the instance.
Memcached - Infers that Memcached might be running on the instance.
NGINX - Infers that NGINX might be running on the instance.
PostgreSql - Infers that PostgreSQL might be running on the instance.
Redis - Infers that Redis might be running on the instance.

instanceRecommendation_instanceArn :: Lens' InstanceRecommendation (Maybe Text) Source #

The Amazon Resource Name (ARN) of the current instance.

instanceRecommendation_instanceName :: Lens' InstanceRecommendation (Maybe Text) Source #

The name of the current instance.

instanceRecommendation_lastRefreshTimestamp :: Lens' InstanceRecommendation (Maybe UTCTime) Source #

The timestamp of when the instance recommendation was last generated.

instanceRecommendation_lookBackPeriodInDays :: Lens' InstanceRecommendation (Maybe Double) Source #

The number of days for which utilization metrics were analyzed for the instance.

instanceRecommendation_recommendationOptions :: Lens' InstanceRecommendation (Maybe [InstanceRecommendationOption]) Source #

An array of objects that describe the recommendation options for the instance.

instanceRecommendation_recommendationSources :: Lens' InstanceRecommendation (Maybe [RecommendationSource]) Source #

An array of objects that describe the source resource of the recommendation.

instanceRecommendation_utilizationMetrics :: Lens' InstanceRecommendation (Maybe [UtilizationMetric]) Source #

An array of objects that describe the utilization metrics of the instance.

InstanceRecommendationOption

data InstanceRecommendationOption Source #

Describes a recommendation option for an Amazon EC2 instance.

See: newInstanceRecommendationOption smart constructor.

Constructors

InstanceRecommendationOption'

Fields

instanceType :: Maybe Text
The instance type of the instance recommendation.
migrationEffort :: Maybe MigrationEffort
The level of effort required to migrate from the current instance type to the recommended instance type.
For example, the migration effort is Low if Amazon EMR is the inferred workload type and an Amazon Web Services Graviton instance type is recommended. The migration effort is Medium if a workload type couldn't be inferred but an Amazon Web Services Graviton instance type is recommended. The migration effort is VeryLow if both the current and recommended instance types are of the same CPU architecture.
performanceRisk :: Maybe Double
The performance risk of the instance recommendation option.
Performance risk indicates the likelihood of the recommended instance type not meeting the resource needs of your workload. Compute Optimizer calculates an individual performance risk score for each specification of the recommended instance, including CPU, memory, EBS throughput, EBS IOPS, disk throughput, disk IOPS, network throughput, and network PPS. The performance risk of the recommended instance is calculated as the maximum performance risk score across the analyzed resource specifications.
The value ranges from 0 - 4, with 0 meaning that the recommended resource is predicted to always provide enough hardware capability. The higher the performance risk is, the more likely you should validate whether the recommendation will meet the performance requirements of your workload before migrating your resource.
platformDifferences :: Maybe [PlatformDifference]
Describes the configuration differences between the current instance and the recommended instance type. You should consider the configuration differences before migrating your workloads from the current instance to the recommended instance type. The Change the instance type guide for Linux and Change the instance type guide for Windows provide general guidance for getting started with an instance migration.
Platform differences include:
- Hypervisor — The hypervisor of the recommended instance type is different than that of the current instance. For example, the recommended instance type uses a Nitro hypervisor and the current instance uses a Xen hypervisor. The differences that you should consider between these hypervisors are covered in the Nitro Hypervisor section of the Amazon EC2 frequently asked questions. For more information, see Instances built on the Nitro System in the Amazon EC2 User Guide for Linux, or Instances built on the Nitro System in the Amazon EC2 User Guide for Windows.
- NetworkInterface — The network interface of the recommended instance type is different than that of the current instance. For example, the recommended instance type supports enhanced networking and the current instance might not. To enable enhanced networking for the recommended instance type, you must install the Elastic Network Adapter (ENA) driver or the Intel 82599 Virtual Function driver. For more information, see Networking and storage features and Enhanced networking on Linux in the Amazon EC2 User Guide for Linux, or Networking and storage features and Enhanced networking on Windows in the Amazon EC2 User Guide for Windows.
- StorageInterface — The storage interface of the recommended instance type is different than that of the current instance. For example, the recommended instance type uses an NVMe storage interface and the current instance does not. To access NVMe volumes for the recommended instance type, you will need to install or upgrade the NVMe driver. For more information, see Networking and storage features and Amazon EBS and NVMe on Linux instances in the Amazon EC2 User Guide for Linux, or Networking and storage features and Amazon EBS and NVMe on Windows instances in the Amazon EC2 User Guide for Windows.
- InstanceStoreAvailability — The recommended instance type does not support instance store volumes and the current instance does. Before migrating, you might need to back up the data on your instance store volumes if you want to preserve them. For more information, see How do I back up an instance store volume on my Amazon EC2 instance to Amazon EBS? in the Amazon Web Services Premium Support Knowledge Base. For more information, see Networking and storage features and Amazon EC2 instance store in the Amazon EC2 User Guide for Linux, or see Networking and storage features and Amazon EC2 instance store in the Amazon EC2 User Guide for Windows.
- VirtualizationType — The recommended instance type uses the hardware virtual machine (HVM) virtualization type and the current instance uses the paravirtual (PV) virtualization type. For more information about the differences between these virtualization types, see Linux AMI virtualization types in the Amazon EC2 User Guide for Linux, or Windows AMI virtualization types in the Amazon EC2 User Guide for Windows.
- Architecture — The CPU architecture between the recommended instance type and the current instance is different. For example, the recommended instance type might use an Arm CPU architecture and the current instance type might use a different one, such as x86. Before migrating, you should consider recompiling the software on your instance for the new architecture. Alternatively, you might switch to an Amazon Machine Image (AMI) that supports the new architecture. For more information about the CPU architecture for each instance type, see Amazon EC2 Instance Types.
projectedUtilizationMetrics :: Maybe [UtilizationMetric]
An array of objects that describe the projected utilization metrics of the instance recommendation option.
The Cpu and Memory metrics are the only projected utilization metrics returned. Additionally, the Memory metric is returned only for resources that have the unified CloudWatch agent installed on them. For more information, see Enabling Memory Utilization with the CloudWatch Agent.
rank :: Maybe Int
The rank of the instance recommendation option.
The top recommendation option is ranked as 1.
savingsOpportunity :: Maybe SavingsOpportunity
An object that describes the savings opportunity for the instance recommendation option. Savings opportunity includes the estimated monthly savings amount and percentage.

Instances

Instances details

FromJSON InstanceRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InstanceRecommendationOption Methods parseJSON :: Value -> Parser InstanceRecommendationOption # parseJSONList :: Value -> Parser [InstanceRecommendationOption] #
Generic InstanceRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InstanceRecommendationOption Associated Types type Rep InstanceRecommendationOption :: Type -> Type # Methods from :: InstanceRecommendationOption -> Rep InstanceRecommendationOption x # to :: Rep InstanceRecommendationOption x -> InstanceRecommendationOption #
Read InstanceRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InstanceRecommendationOption Methods readsPrec :: Int -> ReadS InstanceRecommendationOption # readList :: ReadS [InstanceRecommendationOption] # readPrec :: ReadPrec InstanceRecommendationOption # readListPrec :: ReadPrec [InstanceRecommendationOption] #
Show InstanceRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InstanceRecommendationOption Methods showsPrec :: Int -> InstanceRecommendationOption -> ShowS # show :: InstanceRecommendationOption -> String # showList :: [InstanceRecommendationOption] -> ShowS #
NFData InstanceRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InstanceRecommendationOption Methods rnf :: InstanceRecommendationOption -> () #
Eq InstanceRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InstanceRecommendationOption Methods (==) :: InstanceRecommendationOption -> InstanceRecommendationOption -> Bool # (/=) :: InstanceRecommendationOption -> InstanceRecommendationOption -> Bool #
Hashable InstanceRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InstanceRecommendationOption Methods hashWithSalt :: Int -> InstanceRecommendationOption -> Int # hash :: InstanceRecommendationOption -> Int #
type Rep InstanceRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.InstanceRecommendationOption type Rep InstanceRecommendationOption = D1 ('MetaData "InstanceRecommendationOption" "Amazonka.ComputeOptimizer.Types.InstanceRecommendationOption" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "InstanceRecommendationOption'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "instanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "migrationEffort") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MigrationEffort)) :: S1 ('MetaSel ('Just "performanceRisk") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))) :: ((S1 ('MetaSel ('Just "platformDifferences") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [PlatformDifference])) :: S1 ('MetaSel ('Just "projectedUtilizationMetrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [UtilizationMetric]))) :: (S1 ('MetaSel ('Just "rank") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :: S1 ('MetaSel ('Just "savingsOpportunity") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe SavingsOpportunity))))))

newInstanceRecommendationOption :: InstanceRecommendationOption Source #

Create a value of InstanceRecommendationOption with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:instanceType:InstanceRecommendationOption', instanceRecommendationOption_instanceType - The instance type of the instance recommendation.

$sel:migrationEffort:InstanceRecommendationOption', instanceRecommendationOption_migrationEffort - The level of effort required to migrate from the current instance type to the recommended instance type.

For example, the migration effort is Low if Amazon EMR is the inferred workload type and an Amazon Web Services Graviton instance type is recommended. The migration effort is Medium if a workload type couldn't be inferred but an Amazon Web Services Graviton instance type is recommended. The migration effort is VeryLow if both the current and recommended instance types are of the same CPU architecture.

$sel:performanceRisk:InstanceRecommendationOption', instanceRecommendationOption_performanceRisk - The performance risk of the instance recommendation option.

Performance risk indicates the likelihood of the recommended instance type not meeting the resource needs of your workload. Compute Optimizer calculates an individual performance risk score for each specification of the recommended instance, including CPU, memory, EBS throughput, EBS IOPS, disk throughput, disk IOPS, network throughput, and network PPS. The performance risk of the recommended instance is calculated as the maximum performance risk score across the analyzed resource specifications.

The value ranges from 0 - 4, with 0 meaning that the recommended resource is predicted to always provide enough hardware capability. The higher the performance risk is, the more likely you should validate whether the recommendation will meet the performance requirements of your workload before migrating your resource.

$sel:platformDifferences:InstanceRecommendationOption', instanceRecommendationOption_platformDifferences - Describes the configuration differences between the current instance and the recommended instance type. You should consider the configuration differences before migrating your workloads from the current instance to the recommended instance type. The Change the instance type guide for Linux and Change the instance type guide for Windows provide general guidance for getting started with an instance migration.

Platform differences include:

Hypervisor — The hypervisor of the recommended instance type is different than that of the current instance. For example, the recommended instance type uses a Nitro hypervisor and the current instance uses a Xen hypervisor. The differences that you should consider between these hypervisors are covered in the Nitro Hypervisor section of the Amazon EC2 frequently asked questions. For more information, see Instances built on the Nitro System in the Amazon EC2 User Guide for Linux, or Instances built on the Nitro System in the Amazon EC2 User Guide for Windows.
NetworkInterface — The network interface of the recommended instance type is different than that of the current instance. For example, the recommended instance type supports enhanced networking and the current instance might not. To enable enhanced networking for the recommended instance type, you must install the Elastic Network Adapter (ENA) driver or the Intel 82599 Virtual Function driver. For more information, see Networking and storage features and Enhanced networking on Linux in the Amazon EC2 User Guide for Linux, or Networking and storage features and Enhanced networking on Windows in the Amazon EC2 User Guide for Windows.
StorageInterface — The storage interface of the recommended instance type is different than that of the current instance. For example, the recommended instance type uses an NVMe storage interface and the current instance does not. To access NVMe volumes for the recommended instance type, you will need to install or upgrade the NVMe driver. For more information, see Networking and storage features and Amazon EBS and NVMe on Linux instances in the Amazon EC2 User Guide for Linux, or Networking and storage features and Amazon EBS and NVMe on Windows instances in the Amazon EC2 User Guide for Windows.
InstanceStoreAvailability — The recommended instance type does not support instance store volumes and the current instance does. Before migrating, you might need to back up the data on your instance store volumes if you want to preserve them. For more information, see How do I back up an instance store volume on my Amazon EC2 instance to Amazon EBS? in the Amazon Web Services Premium Support Knowledge Base. For more information, see Networking and storage features and Amazon EC2 instance store in the Amazon EC2 User Guide for Linux, or see Networking and storage features and Amazon EC2 instance store in the Amazon EC2 User Guide for Windows.
VirtualizationType — The recommended instance type uses the hardware virtual machine (HVM) virtualization type and the current instance uses the paravirtual (PV) virtualization type. For more information about the differences between these virtualization types, see Linux AMI virtualization types in the Amazon EC2 User Guide for Linux, or Windows AMI virtualization types in the Amazon EC2 User Guide for Windows.
Architecture — The CPU architecture between the recommended instance type and the current instance is different. For example, the recommended instance type might use an Arm CPU architecture and the current instance type might use a different one, such as x86. Before migrating, you should consider recompiling the software on your instance for the new architecture. Alternatively, you might switch to an Amazon Machine Image (AMI) that supports the new architecture. For more information about the CPU architecture for each instance type, see Amazon EC2 Instance Types.

$sel:projectedUtilizationMetrics:InstanceRecommendationOption', instanceRecommendationOption_projectedUtilizationMetrics - An array of objects that describe the projected utilization metrics of the instance recommendation option.

The Cpu and Memory metrics are the only projected utilization metrics returned. Additionally, the Memory metric is returned only for resources that have the unified CloudWatch agent installed on them. For more information, see Enabling Memory Utilization with the CloudWatch Agent.

$sel:rank:InstanceRecommendationOption', instanceRecommendationOption_rank - The rank of the instance recommendation option.

The top recommendation option is ranked as 1.

$sel:savingsOpportunity:InstanceRecommendationOption', instanceRecommendationOption_savingsOpportunity - An object that describes the savings opportunity for the instance recommendation option. Savings opportunity includes the estimated monthly savings amount and percentage.

instanceRecommendationOption_instanceType :: Lens' InstanceRecommendationOption (Maybe Text) Source #

The instance type of the instance recommendation.

instanceRecommendationOption_migrationEffort :: Lens' InstanceRecommendationOption (Maybe MigrationEffort) Source #

The level of effort required to migrate from the current instance type to the recommended instance type.

For example, the migration effort is Low if Amazon EMR is the inferred workload type and an Amazon Web Services Graviton instance type is recommended. The migration effort is Medium if a workload type couldn't be inferred but an Amazon Web Services Graviton instance type is recommended. The migration effort is VeryLow if both the current and recommended instance types are of the same CPU architecture.

instanceRecommendationOption_performanceRisk :: Lens' InstanceRecommendationOption (Maybe Double) Source #

The performance risk of the instance recommendation option.

Performance risk indicates the likelihood of the recommended instance type not meeting the resource needs of your workload. Compute Optimizer calculates an individual performance risk score for each specification of the recommended instance, including CPU, memory, EBS throughput, EBS IOPS, disk throughput, disk IOPS, network throughput, and network PPS. The performance risk of the recommended instance is calculated as the maximum performance risk score across the analyzed resource specifications.

The value ranges from 0 - 4, with 0 meaning that the recommended resource is predicted to always provide enough hardware capability. The higher the performance risk is, the more likely you should validate whether the recommendation will meet the performance requirements of your workload before migrating your resource.

instanceRecommendationOption_platformDifferences :: Lens' InstanceRecommendationOption (Maybe [PlatformDifference]) Source #

Describes the configuration differences between the current instance and the recommended instance type. You should consider the configuration differences before migrating your workloads from the current instance to the recommended instance type. The Change the instance type guide for Linux and Change the instance type guide for Windows provide general guidance for getting started with an instance migration.

Platform differences include:

Hypervisor — The hypervisor of the recommended instance type is different than that of the current instance. For example, the recommended instance type uses a Nitro hypervisor and the current instance uses a Xen hypervisor. The differences that you should consider between these hypervisors are covered in the Nitro Hypervisor section of the Amazon EC2 frequently asked questions. For more information, see Instances built on the Nitro System in the Amazon EC2 User Guide for Linux, or Instances built on the Nitro System in the Amazon EC2 User Guide for Windows.
NetworkInterface — The network interface of the recommended instance type is different than that of the current instance. For example, the recommended instance type supports enhanced networking and the current instance might not. To enable enhanced networking for the recommended instance type, you must install the Elastic Network Adapter (ENA) driver or the Intel 82599 Virtual Function driver. For more information, see Networking and storage features and Enhanced networking on Linux in the Amazon EC2 User Guide for Linux, or Networking and storage features and Enhanced networking on Windows in the Amazon EC2 User Guide for Windows.
StorageInterface — The storage interface of the recommended instance type is different than that of the current instance. For example, the recommended instance type uses an NVMe storage interface and the current instance does not. To access NVMe volumes for the recommended instance type, you will need to install or upgrade the NVMe driver. For more information, see Networking and storage features and Amazon EBS and NVMe on Linux instances in the Amazon EC2 User Guide for Linux, or Networking and storage features and Amazon EBS and NVMe on Windows instances in the Amazon EC2 User Guide for Windows.
InstanceStoreAvailability — The recommended instance type does not support instance store volumes and the current instance does. Before migrating, you might need to back up the data on your instance store volumes if you want to preserve them. For more information, see How do I back up an instance store volume on my Amazon EC2 instance to Amazon EBS? in the Amazon Web Services Premium Support Knowledge Base. For more information, see Networking and storage features and Amazon EC2 instance store in the Amazon EC2 User Guide for Linux, or see Networking and storage features and Amazon EC2 instance store in the Amazon EC2 User Guide for Windows.
VirtualizationType — The recommended instance type uses the hardware virtual machine (HVM) virtualization type and the current instance uses the paravirtual (PV) virtualization type. For more information about the differences between these virtualization types, see Linux AMI virtualization types in the Amazon EC2 User Guide for Linux, or Windows AMI virtualization types in the Amazon EC2 User Guide for Windows.
Architecture — The CPU architecture between the recommended instance type and the current instance is different. For example, the recommended instance type might use an Arm CPU architecture and the current instance type might use a different one, such as x86. Before migrating, you should consider recompiling the software on your instance for the new architecture. Alternatively, you might switch to an Amazon Machine Image (AMI) that supports the new architecture. For more information about the CPU architecture for each instance type, see Amazon EC2 Instance Types.

instanceRecommendationOption_projectedUtilizationMetrics :: Lens' InstanceRecommendationOption (Maybe [UtilizationMetric]) Source #

An array of objects that describe the projected utilization metrics of the instance recommendation option.

The Cpu and Memory metrics are the only projected utilization metrics returned. Additionally, the Memory metric is returned only for resources that have the unified CloudWatch agent installed on them. For more information, see Enabling Memory Utilization with the CloudWatch Agent.

instanceRecommendationOption_rank :: Lens' InstanceRecommendationOption (Maybe Int) Source #

The rank of the instance recommendation option.

The top recommendation option is ranked as 1.

instanceRecommendationOption_savingsOpportunity :: Lens' InstanceRecommendationOption (Maybe SavingsOpportunity) Source #

An object that describes the savings opportunity for the instance recommendation option. Savings opportunity includes the estimated monthly savings amount and percentage.

JobFilter

data JobFilter Source #

Describes a filter that returns a more specific list of recommendation export jobs. Use this filter with the DescribeRecommendationExportJobs action.

You can use EBSFilter with the GetEBSVolumeRecommendations action, LambdaFunctionRecommendationFilter with the GetLambdaFunctionRecommendations action, and Filter with the GetAutoScalingGroupRecommendations and GetEC2InstanceRecommendations actions.

See: newJobFilter smart constructor.

Constructors

JobFilter'

Fields

name :: Maybe JobFilterName
The name of the filter.
Specify ResourceType to return export jobs of a specific resource type (for example, Ec2Instance).
Specify JobStatus to return export jobs with a specific status (e.g, Complete).
values :: Maybe [Text]
The value of the filter.
The valid values for this parameter are as follows, depending on what you specify for the name parameter:
- Specify Ec2Instance or AutoScalingGroup if you specify the name parameter as ResourceType. There is no filter for EBS volumes because volume recommendations cannot be exported at this time.
- Specify Queued, InProgress, Complete, or Failed if you specify the name parameter as JobStatus.

Instances

Instances details

ToJSON JobFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobFilter Methods toJSON :: JobFilter -> Value # toEncoding :: JobFilter -> Encoding # toJSONList :: [JobFilter] -> Value # toEncodingList :: [JobFilter] -> Encoding #
Generic JobFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobFilter Associated Types type Rep JobFilter :: Type -> Type # Methods from :: JobFilter -> Rep JobFilter x # to :: Rep JobFilter x -> JobFilter #
Read JobFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobFilter Methods readsPrec :: Int -> ReadS JobFilter # readList :: ReadS [JobFilter] # readPrec :: ReadPrec JobFilter # readListPrec :: ReadPrec [JobFilter] #
Show JobFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobFilter Methods showsPrec :: Int -> JobFilter -> ShowS # show :: JobFilter -> String # showList :: [JobFilter] -> ShowS #
NFData JobFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobFilter Methods rnf :: JobFilter -> () #
Eq JobFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobFilter Methods (==) :: JobFilter -> JobFilter -> Bool # (/=) :: JobFilter -> JobFilter -> Bool #
Hashable JobFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobFilter Methods hashWithSalt :: Int -> JobFilter -> Int # hash :: JobFilter -> Int #
type Rep JobFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.JobFilter type Rep JobFilter = D1 ('MetaData "JobFilter" "Amazonka.ComputeOptimizer.Types.JobFilter" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "JobFilter'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe JobFilterName)) :*: S1 ('MetaSel ('Just "values") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text]))))

newJobFilter :: JobFilter Source #

Create a value of JobFilter with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:name:JobFilter', jobFilter_name - The name of the filter.

Specify ResourceType to return export jobs of a specific resource type (for example, Ec2Instance).

Specify JobStatus to return export jobs with a specific status (e.g, Complete).

$sel:values:JobFilter', jobFilter_values - The value of the filter.

The valid values for this parameter are as follows, depending on what you specify for the name parameter:

Specify Ec2Instance or AutoScalingGroup if you specify the name parameter as ResourceType. There is no filter for EBS volumes because volume recommendations cannot be exported at this time.
Specify Queued, InProgress, Complete, or Failed if you specify the name parameter as JobStatus.

jobFilter_name :: Lens' JobFilter (Maybe JobFilterName) Source #

The name of the filter.

Specify ResourceType to return export jobs of a specific resource type (for example, Ec2Instance).

Specify JobStatus to return export jobs with a specific status (e.g, Complete).

jobFilter_values :: Lens' JobFilter (Maybe [Text]) Source #

The value of the filter.

The valid values for this parameter are as follows, depending on what you specify for the name parameter:

Specify Ec2Instance or AutoScalingGroup if you specify the name parameter as ResourceType. There is no filter for EBS volumes because volume recommendations cannot be exported at this time.
Specify Queued, InProgress, Complete, or Failed if you specify the name parameter as JobStatus.

LambdaFunctionMemoryProjectedMetric

data LambdaFunctionMemoryProjectedMetric Source #

Describes a projected utilization metric of an Lambda function recommendation option.

See: newLambdaFunctionMemoryProjectedMetric smart constructor.

Constructors

LambdaFunctionMemoryProjectedMetric'
Fields name :: Maybe LambdaFunctionMemoryMetricName The name of the projected utilization metric. statistic :: Maybe LambdaFunctionMemoryMetricStatistic The statistic of the projected utilization metric. value :: Maybe Double The values of the projected utilization metrics.

Instances

Instances details

FromJSON LambdaFunctionMemoryProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryProjectedMetric Methods parseJSON :: Value -> Parser LambdaFunctionMemoryProjectedMetric # parseJSONList :: Value -> Parser [LambdaFunctionMemoryProjectedMetric] #
Generic LambdaFunctionMemoryProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryProjectedMetric Associated Types type Rep LambdaFunctionMemoryProjectedMetric :: Type -> Type # Methods from :: LambdaFunctionMemoryProjectedMetric -> Rep LambdaFunctionMemoryProjectedMetric x # to :: Rep LambdaFunctionMemoryProjectedMetric x -> LambdaFunctionMemoryProjectedMetric #
Read LambdaFunctionMemoryProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryProjectedMetric Methods readsPrec :: Int -> ReadS LambdaFunctionMemoryProjectedMetric # readList :: ReadS [LambdaFunctionMemoryProjectedMetric] # readPrec :: ReadPrec LambdaFunctionMemoryProjectedMetric # readListPrec :: ReadPrec [LambdaFunctionMemoryProjectedMetric] #
Show LambdaFunctionMemoryProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryProjectedMetric Methods showsPrec :: Int -> LambdaFunctionMemoryProjectedMetric -> ShowS # show :: LambdaFunctionMemoryProjectedMetric -> String # showList :: [LambdaFunctionMemoryProjectedMetric] -> ShowS #
NFData LambdaFunctionMemoryProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryProjectedMetric Methods rnf :: LambdaFunctionMemoryProjectedMetric -> () #
Eq LambdaFunctionMemoryProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryProjectedMetric Methods (==) :: LambdaFunctionMemoryProjectedMetric -> LambdaFunctionMemoryProjectedMetric -> Bool # (/=) :: LambdaFunctionMemoryProjectedMetric -> LambdaFunctionMemoryProjectedMetric -> Bool #
Hashable LambdaFunctionMemoryProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryProjectedMetric Methods hashWithSalt :: Int -> LambdaFunctionMemoryProjectedMetric -> Int # hash :: LambdaFunctionMemoryProjectedMetric -> Int #
type Rep LambdaFunctionMemoryProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryProjectedMetric type Rep LambdaFunctionMemoryProjectedMetric = D1 ('MetaData "LambdaFunctionMemoryProjectedMetric" "Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryProjectedMetric" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "LambdaFunctionMemoryProjectedMetric'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe LambdaFunctionMemoryMetricName)) :: (S1 ('MetaSel ('Just "statistic") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe LambdaFunctionMemoryMetricStatistic)) :: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))))

newLambdaFunctionMemoryProjectedMetric :: LambdaFunctionMemoryProjectedMetric Source #

Create a value of LambdaFunctionMemoryProjectedMetric with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:name:LambdaFunctionMemoryProjectedMetric', lambdaFunctionMemoryProjectedMetric_name - The name of the projected utilization metric.

$sel:statistic:LambdaFunctionMemoryProjectedMetric', lambdaFunctionMemoryProjectedMetric_statistic - The statistic of the projected utilization metric.

$sel:value:LambdaFunctionMemoryProjectedMetric', lambdaFunctionMemoryProjectedMetric_value - The values of the projected utilization metrics.

lambdaFunctionMemoryProjectedMetric_name :: Lens' LambdaFunctionMemoryProjectedMetric (Maybe LambdaFunctionMemoryMetricName) Source #

The name of the projected utilization metric.

lambdaFunctionMemoryProjectedMetric_statistic :: Lens' LambdaFunctionMemoryProjectedMetric (Maybe LambdaFunctionMemoryMetricStatistic) Source #

The statistic of the projected utilization metric.

lambdaFunctionMemoryProjectedMetric_value :: Lens' LambdaFunctionMemoryProjectedMetric (Maybe Double) Source #

The values of the projected utilization metrics.

LambdaFunctionMemoryRecommendationOption

data LambdaFunctionMemoryRecommendationOption Source #

Describes a recommendation option for an Lambda function.

See: newLambdaFunctionMemoryRecommendationOption smart constructor.

Constructors

LambdaFunctionMemoryRecommendationOption'

Fields

memorySize :: Maybe Int
The memory size, in MB, of the function recommendation option.
projectedUtilizationMetrics :: Maybe [LambdaFunctionMemoryProjectedMetric]
An array of objects that describe the projected utilization metrics of the function recommendation option.
rank :: Maybe Int
The rank of the function recommendation option.
The top recommendation option is ranked as 1.
savingsOpportunity :: Maybe SavingsOpportunity
An object that describes the savings opportunity for the Lambda function recommendation option. Savings opportunity includes the estimated monthly savings amount and percentage.

Instances

Instances details

FromJSON LambdaFunctionMemoryRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryRecommendationOption Methods parseJSON :: Value -> Parser LambdaFunctionMemoryRecommendationOption # parseJSONList :: Value -> Parser [LambdaFunctionMemoryRecommendationOption] #
Generic LambdaFunctionMemoryRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryRecommendationOption Associated Types type Rep LambdaFunctionMemoryRecommendationOption :: Type -> Type # Methods from :: LambdaFunctionMemoryRecommendationOption -> Rep LambdaFunctionMemoryRecommendationOption x # to :: Rep LambdaFunctionMemoryRecommendationOption x -> LambdaFunctionMemoryRecommendationOption #
Read LambdaFunctionMemoryRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryRecommendationOption Methods readsPrec :: Int -> ReadS LambdaFunctionMemoryRecommendationOption # readList :: ReadS [LambdaFunctionMemoryRecommendationOption] # readPrec :: ReadPrec LambdaFunctionMemoryRecommendationOption # readListPrec :: ReadPrec [LambdaFunctionMemoryRecommendationOption] #
Show LambdaFunctionMemoryRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryRecommendationOption Methods showsPrec :: Int -> LambdaFunctionMemoryRecommendationOption -> ShowS # show :: LambdaFunctionMemoryRecommendationOption -> String # showList :: [LambdaFunctionMemoryRecommendationOption] -> ShowS #
NFData LambdaFunctionMemoryRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryRecommendationOption Methods rnf :: LambdaFunctionMemoryRecommendationOption -> () #
Eq LambdaFunctionMemoryRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryRecommendationOption Methods (==) :: LambdaFunctionMemoryRecommendationOption -> LambdaFunctionMemoryRecommendationOption -> Bool # (/=) :: LambdaFunctionMemoryRecommendationOption -> LambdaFunctionMemoryRecommendationOption -> Bool #
Hashable LambdaFunctionMemoryRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryRecommendationOption Methods hashWithSalt :: Int -> LambdaFunctionMemoryRecommendationOption -> Int # hash :: LambdaFunctionMemoryRecommendationOption -> Int #
type Rep LambdaFunctionMemoryRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryRecommendationOption type Rep LambdaFunctionMemoryRecommendationOption = D1 ('MetaData "LambdaFunctionMemoryRecommendationOption" "Amazonka.ComputeOptimizer.Types.LambdaFunctionMemoryRecommendationOption" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "LambdaFunctionMemoryRecommendationOption'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "memorySize") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :: S1 ('MetaSel ('Just "projectedUtilizationMetrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [LambdaFunctionMemoryProjectedMetric]))) :: (S1 ('MetaSel ('Just "rank") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :*: S1 ('MetaSel ('Just "savingsOpportunity") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe SavingsOpportunity)))))

newLambdaFunctionMemoryRecommendationOption :: LambdaFunctionMemoryRecommendationOption Source #

Create a value of LambdaFunctionMemoryRecommendationOption with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:memorySize:LambdaFunctionMemoryRecommendationOption', lambdaFunctionMemoryRecommendationOption_memorySize - The memory size, in MB, of the function recommendation option.

$sel:projectedUtilizationMetrics:LambdaFunctionMemoryRecommendationOption', lambdaFunctionMemoryRecommendationOption_projectedUtilizationMetrics - An array of objects that describe the projected utilization metrics of the function recommendation option.

$sel:rank:LambdaFunctionMemoryRecommendationOption', lambdaFunctionMemoryRecommendationOption_rank - The rank of the function recommendation option.

The top recommendation option is ranked as 1.

$sel:savingsOpportunity:LambdaFunctionMemoryRecommendationOption', lambdaFunctionMemoryRecommendationOption_savingsOpportunity - An object that describes the savings opportunity for the Lambda function recommendation option. Savings opportunity includes the estimated monthly savings amount and percentage.

lambdaFunctionMemoryRecommendationOption_memorySize :: Lens' LambdaFunctionMemoryRecommendationOption (Maybe Int) Source #

The memory size, in MB, of the function recommendation option.

lambdaFunctionMemoryRecommendationOption_projectedUtilizationMetrics :: Lens' LambdaFunctionMemoryRecommendationOption (Maybe [LambdaFunctionMemoryProjectedMetric]) Source #

An array of objects that describe the projected utilization metrics of the function recommendation option.

lambdaFunctionMemoryRecommendationOption_rank :: Lens' LambdaFunctionMemoryRecommendationOption (Maybe Int) Source #

The rank of the function recommendation option.

The top recommendation option is ranked as 1.

lambdaFunctionMemoryRecommendationOption_savingsOpportunity :: Lens' LambdaFunctionMemoryRecommendationOption (Maybe SavingsOpportunity) Source #

An object that describes the savings opportunity for the Lambda function recommendation option. Savings opportunity includes the estimated monthly savings amount and percentage.

LambdaFunctionRecommendation

data LambdaFunctionRecommendation Source #

Describes an Lambda function recommendation.

See: newLambdaFunctionRecommendation smart constructor.

Constructors

LambdaFunctionRecommendation'

Fields

accountId :: Maybe Text
The Amazon Web Services account ID of the function.
currentMemorySize :: Maybe Int
The amount of memory, in MB, that's allocated to the current function.
currentPerformanceRisk :: Maybe CurrentPerformanceRisk
The risk of the current Lambda function not meeting the performance needs of its workloads. The higher the risk, the more likely the current Lambda function requires more memory.
finding :: Maybe LambdaFunctionRecommendationFinding
The finding classification of the function.
Findings for functions include:
- Optimized — The function is correctly provisioned to run your workload based on its current configuration and its utilization history. This finding classification does not include finding reason codes.
- NotOptimized — The function is performing at a higher level (over-provisioned) or at a lower level (under-provisioned) than required for your workload because its current configuration is not optimal. Over-provisioned resources might lead to unnecessary infrastructure cost, and under-provisioned resources might lead to poor application performance. This finding classification can include the MemoryUnderprovisioned and MemoryUnderprovisioned finding reason codes.
- Unavailable — Compute Optimizer was unable to generate a recommendation for the function. This could be because the function has not accumulated sufficient metric data, or the function does not qualify for a recommendation. This finding classification can include the InsufficientData and Inconclusive finding reason codes.
  Functions with a finding of unavailable are not returned unless you specify the filter parameter with a value of Unavailable in your GetLambdaFunctionRecommendations request.
findingReasonCodes :: Maybe [LambdaFunctionRecommendationFindingReasonCode]
The reason for the finding classification of the function.
Functions that have a finding classification of Optimized don't have a finding reason code.
Finding reason codes for functions include:
- MemoryOverprovisioned — The function is over-provisioned when its memory configuration can be sized down while still meeting the performance requirements of your workload. An over-provisioned function might lead to unnecessary infrastructure cost. This finding reason code is part of the NotOptimized finding classification.
- MemoryUnderprovisioned — The function is under-provisioned when its memory configuration doesn't meet the performance requirements of the workload. An under-provisioned function might lead to poor application performance. This finding reason code is part of the NotOptimized finding classification.
- InsufficientData — The function does not have sufficient metric data for Compute Optimizer to generate a recommendation. For more information, see the Supported resources and requirements in the Compute Optimizer User Guide. This finding reason code is part of the Unavailable finding classification.
- Inconclusive — The function does not qualify for a recommendation because Compute Optimizer cannot generate a recommendation with a high degree of confidence. This finding reason code is part of the Unavailable finding classification.
functionArn :: Maybe Text
The Amazon Resource Name (ARN) of the current function.
functionVersion :: Maybe Text
The version number of the current function.
lastRefreshTimestamp :: Maybe POSIX
The timestamp of when the function recommendation was last generated.
lookbackPeriodInDays :: Maybe Double
The number of days for which utilization metrics were analyzed for the function.
memorySizeRecommendationOptions :: Maybe [LambdaFunctionMemoryRecommendationOption]
An array of objects that describe the memory configuration recommendation options for the function.
numberOfInvocations :: Maybe Integer
The number of times your function code was applied during the look-back period.
utilizationMetrics :: Maybe [LambdaFunctionUtilizationMetric]
An array of objects that describe the utilization metrics of the function.

Instances

Instances details

FromJSON LambdaFunctionRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendation Methods parseJSON :: Value -> Parser LambdaFunctionRecommendation # parseJSONList :: Value -> Parser [LambdaFunctionRecommendation] #
Generic LambdaFunctionRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendation Associated Types type Rep LambdaFunctionRecommendation :: Type -> Type # Methods from :: LambdaFunctionRecommendation -> Rep LambdaFunctionRecommendation x # to :: Rep LambdaFunctionRecommendation x -> LambdaFunctionRecommendation #
Read LambdaFunctionRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendation Methods readsPrec :: Int -> ReadS LambdaFunctionRecommendation # readList :: ReadS [LambdaFunctionRecommendation] # readPrec :: ReadPrec LambdaFunctionRecommendation # readListPrec :: ReadPrec [LambdaFunctionRecommendation] #
Show LambdaFunctionRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendation Methods showsPrec :: Int -> LambdaFunctionRecommendation -> ShowS # show :: LambdaFunctionRecommendation -> String # showList :: [LambdaFunctionRecommendation] -> ShowS #
NFData LambdaFunctionRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendation Methods rnf :: LambdaFunctionRecommendation -> () #
Eq LambdaFunctionRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendation Methods (==) :: LambdaFunctionRecommendation -> LambdaFunctionRecommendation -> Bool # (/=) :: LambdaFunctionRecommendation -> LambdaFunctionRecommendation -> Bool #
Hashable LambdaFunctionRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendation Methods hashWithSalt :: Int -> LambdaFunctionRecommendation -> Int # hash :: LambdaFunctionRecommendation -> Int #
type Rep LambdaFunctionRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendation type Rep LambdaFunctionRecommendation = D1 ('MetaData "LambdaFunctionRecommendation" "Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendation" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "LambdaFunctionRecommendation'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "accountId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "currentMemorySize") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :: S1 ('MetaSel ('Just "currentPerformanceRisk") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CurrentPerformanceRisk)))) :: (S1 ('MetaSel ('Just "finding") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe LambdaFunctionRecommendationFinding)) :: (S1 ('MetaSel ('Just "findingReasonCodes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [LambdaFunctionRecommendationFindingReasonCode])) :: S1 ('MetaSel ('Just "functionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))) :: ((S1 ('MetaSel ('Just "functionVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "lastRefreshTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "lookbackPeriodInDays") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))) :: (S1 ('MetaSel ('Just "memorySizeRecommendationOptions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [LambdaFunctionMemoryRecommendationOption])) :: (S1 ('MetaSel ('Just "numberOfInvocations") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer)) :*: S1 ('MetaSel ('Just "utilizationMetrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [LambdaFunctionUtilizationMetric])))))))

newLambdaFunctionRecommendation :: LambdaFunctionRecommendation Source #

Create a value of LambdaFunctionRecommendation with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:accountId:LambdaFunctionRecommendation', lambdaFunctionRecommendation_accountId - The Amazon Web Services account ID of the function.

$sel:currentMemorySize:LambdaFunctionRecommendation', lambdaFunctionRecommendation_currentMemorySize - The amount of memory, in MB, that's allocated to the current function.

$sel:currentPerformanceRisk:LambdaFunctionRecommendation', lambdaFunctionRecommendation_currentPerformanceRisk - The risk of the current Lambda function not meeting the performance needs of its workloads. The higher the risk, the more likely the current Lambda function requires more memory.

$sel:finding:LambdaFunctionRecommendation', lambdaFunctionRecommendation_finding - The finding classification of the function.

Findings for functions include:

Optimized — The function is correctly provisioned to run your workload based on its current configuration and its utilization history. This finding classification does not include finding reason codes.
NotOptimized — The function is performing at a higher level (over-provisioned) or at a lower level (under-provisioned) than required for your workload because its current configuration is not optimal. Over-provisioned resources might lead to unnecessary infrastructure cost, and under-provisioned resources might lead to poor application performance. This finding classification can include the MemoryUnderprovisioned and MemoryUnderprovisioned finding reason codes.
Unavailable — Compute Optimizer was unable to generate a recommendation for the function. This could be because the function has not accumulated sufficient metric data, or the function does not qualify for a recommendation. This finding classification can include the InsufficientData and Inconclusive finding reason codes.
Functions with a finding of unavailable are not returned unless you specify the filter parameter with a value of Unavailable in your GetLambdaFunctionRecommendations request.

$sel:findingReasonCodes:LambdaFunctionRecommendation', lambdaFunctionRecommendation_findingReasonCodes - The reason for the finding classification of the function.

Functions that have a finding classification of Optimized don't have a finding reason code.

Finding reason codes for functions include:

MemoryOverprovisioned — The function is over-provisioned when its memory configuration can be sized down while still meeting the performance requirements of your workload. An over-provisioned function might lead to unnecessary infrastructure cost. This finding reason code is part of the NotOptimized finding classification.
MemoryUnderprovisioned — The function is under-provisioned when its memory configuration doesn't meet the performance requirements of the workload. An under-provisioned function might lead to poor application performance. This finding reason code is part of the NotOptimized finding classification.
InsufficientData — The function does not have sufficient metric data for Compute Optimizer to generate a recommendation. For more information, see the Supported resources and requirements in the Compute Optimizer User Guide. This finding reason code is part of the Unavailable finding classification.
Inconclusive — The function does not qualify for a recommendation because Compute Optimizer cannot generate a recommendation with a high degree of confidence. This finding reason code is part of the Unavailable finding classification.

$sel:functionArn:LambdaFunctionRecommendation', lambdaFunctionRecommendation_functionArn - The Amazon Resource Name (ARN) of the current function.

$sel:functionVersion:LambdaFunctionRecommendation', lambdaFunctionRecommendation_functionVersion - The version number of the current function.

$sel:lastRefreshTimestamp:LambdaFunctionRecommendation', lambdaFunctionRecommendation_lastRefreshTimestamp - The timestamp of when the function recommendation was last generated.

$sel:lookbackPeriodInDays:LambdaFunctionRecommendation', lambdaFunctionRecommendation_lookbackPeriodInDays - The number of days for which utilization metrics were analyzed for the function.

$sel:memorySizeRecommendationOptions:LambdaFunctionRecommendation', lambdaFunctionRecommendation_memorySizeRecommendationOptions - An array of objects that describe the memory configuration recommendation options for the function.

$sel:numberOfInvocations:LambdaFunctionRecommendation', lambdaFunctionRecommendation_numberOfInvocations - The number of times your function code was applied during the look-back period.

$sel:utilizationMetrics:LambdaFunctionRecommendation', lambdaFunctionRecommendation_utilizationMetrics - An array of objects that describe the utilization metrics of the function.

lambdaFunctionRecommendation_accountId :: Lens' LambdaFunctionRecommendation (Maybe Text) Source #

The Amazon Web Services account ID of the function.

lambdaFunctionRecommendation_currentMemorySize :: Lens' LambdaFunctionRecommendation (Maybe Int) Source #

The amount of memory, in MB, that's allocated to the current function.

lambdaFunctionRecommendation_currentPerformanceRisk :: Lens' LambdaFunctionRecommendation (Maybe CurrentPerformanceRisk) Source #

The risk of the current Lambda function not meeting the performance needs of its workloads. The higher the risk, the more likely the current Lambda function requires more memory.

lambdaFunctionRecommendation_finding :: Lens' LambdaFunctionRecommendation (Maybe LambdaFunctionRecommendationFinding) Source #

The finding classification of the function.

Findings for functions include:

Optimized — The function is correctly provisioned to run your workload based on its current configuration and its utilization history. This finding classification does not include finding reason codes.
NotOptimized — The function is performing at a higher level (over-provisioned) or at a lower level (under-provisioned) than required for your workload because its current configuration is not optimal. Over-provisioned resources might lead to unnecessary infrastructure cost, and under-provisioned resources might lead to poor application performance. This finding classification can include the MemoryUnderprovisioned and MemoryUnderprovisioned finding reason codes.
Unavailable — Compute Optimizer was unable to generate a recommendation for the function. This could be because the function has not accumulated sufficient metric data, or the function does not qualify for a recommendation. This finding classification can include the InsufficientData and Inconclusive finding reason codes.
Functions with a finding of unavailable are not returned unless you specify the filter parameter with a value of Unavailable in your GetLambdaFunctionRecommendations request.

lambdaFunctionRecommendation_findingReasonCodes :: Lens' LambdaFunctionRecommendation (Maybe [LambdaFunctionRecommendationFindingReasonCode]) Source #

The reason for the finding classification of the function.

Functions that have a finding classification of Optimized don't have a finding reason code.

Finding reason codes for functions include:

MemoryOverprovisioned — The function is over-provisioned when its memory configuration can be sized down while still meeting the performance requirements of your workload. An over-provisioned function might lead to unnecessary infrastructure cost. This finding reason code is part of the NotOptimized finding classification.
MemoryUnderprovisioned — The function is under-provisioned when its memory configuration doesn't meet the performance requirements of the workload. An under-provisioned function might lead to poor application performance. This finding reason code is part of the NotOptimized finding classification.
InsufficientData — The function does not have sufficient metric data for Compute Optimizer to generate a recommendation. For more information, see the Supported resources and requirements in the Compute Optimizer User Guide. This finding reason code is part of the Unavailable finding classification.
Inconclusive — The function does not qualify for a recommendation because Compute Optimizer cannot generate a recommendation with a high degree of confidence. This finding reason code is part of the Unavailable finding classification.

lambdaFunctionRecommendation_functionArn :: Lens' LambdaFunctionRecommendation (Maybe Text) Source #

The Amazon Resource Name (ARN) of the current function.

lambdaFunctionRecommendation_functionVersion :: Lens' LambdaFunctionRecommendation (Maybe Text) Source #

The version number of the current function.

lambdaFunctionRecommendation_lastRefreshTimestamp :: Lens' LambdaFunctionRecommendation (Maybe UTCTime) Source #

The timestamp of when the function recommendation was last generated.

lambdaFunctionRecommendation_lookbackPeriodInDays :: Lens' LambdaFunctionRecommendation (Maybe Double) Source #

The number of days for which utilization metrics were analyzed for the function.

lambdaFunctionRecommendation_memorySizeRecommendationOptions :: Lens' LambdaFunctionRecommendation (Maybe [LambdaFunctionMemoryRecommendationOption]) Source #

An array of objects that describe the memory configuration recommendation options for the function.

lambdaFunctionRecommendation_numberOfInvocations :: Lens' LambdaFunctionRecommendation (Maybe Integer) Source #

The number of times your function code was applied during the look-back period.

lambdaFunctionRecommendation_utilizationMetrics :: Lens' LambdaFunctionRecommendation (Maybe [LambdaFunctionUtilizationMetric]) Source #

An array of objects that describe the utilization metrics of the function.

LambdaFunctionRecommendationFilter

data LambdaFunctionRecommendationFilter Source #

Describes a filter that returns a more specific list of Lambda function recommendations. Use this filter with the GetLambdaFunctionRecommendations action.

You can use EBSFilter with the GetEBSVolumeRecommendations action, JobFilter with the DescribeRecommendationExportJobs action, and Filter with the GetAutoScalingGroupRecommendations and GetEC2InstanceRecommendations actions.

See: newLambdaFunctionRecommendationFilter smart constructor.

Constructors

LambdaFunctionRecommendationFilter'

Fields

name :: Maybe LambdaFunctionRecommendationFilterName
The name of the filter.
Specify Finding to return recommendations with a specific finding classification (for example, NotOptimized).
Specify FindingReasonCode to return recommendations with a specific finding reason code (for example, MemoryUnderprovisioned).
values :: Maybe [Text]
The value of the filter.
The valid values for this parameter are as follows, depending on what you specify for the name parameter:
- Specify Optimized, NotOptimized, or Unavailable if you specify the name parameter as Finding.
- Specify MemoryOverprovisioned, MemoryUnderprovisioned, InsufficientData, or Inconclusive if you specify the name parameter as FindingReasonCode.

Instances

Instances details

ToJSON LambdaFunctionRecommendationFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFilter Methods toJSON :: LambdaFunctionRecommendationFilter -> Value # toEncoding :: LambdaFunctionRecommendationFilter -> Encoding # toJSONList :: [LambdaFunctionRecommendationFilter] -> Value # toEncodingList :: [LambdaFunctionRecommendationFilter] -> Encoding #
Generic LambdaFunctionRecommendationFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFilter Associated Types type Rep LambdaFunctionRecommendationFilter :: Type -> Type # Methods from :: LambdaFunctionRecommendationFilter -> Rep LambdaFunctionRecommendationFilter x # to :: Rep LambdaFunctionRecommendationFilter x -> LambdaFunctionRecommendationFilter #
Read LambdaFunctionRecommendationFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFilter Methods readsPrec :: Int -> ReadS LambdaFunctionRecommendationFilter # readList :: ReadS [LambdaFunctionRecommendationFilter] # readPrec :: ReadPrec LambdaFunctionRecommendationFilter # readListPrec :: ReadPrec [LambdaFunctionRecommendationFilter] #
Show LambdaFunctionRecommendationFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFilter Methods showsPrec :: Int -> LambdaFunctionRecommendationFilter -> ShowS # show :: LambdaFunctionRecommendationFilter -> String # showList :: [LambdaFunctionRecommendationFilter] -> ShowS #
NFData LambdaFunctionRecommendationFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFilter Methods rnf :: LambdaFunctionRecommendationFilter -> () #
Eq LambdaFunctionRecommendationFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFilter Methods (==) :: LambdaFunctionRecommendationFilter -> LambdaFunctionRecommendationFilter -> Bool # (/=) :: LambdaFunctionRecommendationFilter -> LambdaFunctionRecommendationFilter -> Bool #
Hashable LambdaFunctionRecommendationFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFilter Methods hashWithSalt :: Int -> LambdaFunctionRecommendationFilter -> Int # hash :: LambdaFunctionRecommendationFilter -> Int #
type Rep LambdaFunctionRecommendationFilter Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFilter type Rep LambdaFunctionRecommendationFilter = D1 ('MetaData "LambdaFunctionRecommendationFilter" "Amazonka.ComputeOptimizer.Types.LambdaFunctionRecommendationFilter" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "LambdaFunctionRecommendationFilter'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe LambdaFunctionRecommendationFilterName)) :*: S1 ('MetaSel ('Just "values") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text]))))

newLambdaFunctionRecommendationFilter :: LambdaFunctionRecommendationFilter Source #

Create a value of LambdaFunctionRecommendationFilter with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:name:LambdaFunctionRecommendationFilter', lambdaFunctionRecommendationFilter_name - The name of the filter.

Specify Finding to return recommendations with a specific finding classification (for example, NotOptimized).

Specify FindingReasonCode to return recommendations with a specific finding reason code (for example, MemoryUnderprovisioned).

$sel:values:LambdaFunctionRecommendationFilter', lambdaFunctionRecommendationFilter_values - The value of the filter.

The valid values for this parameter are as follows, depending on what you specify for the name parameter:

Specify Optimized, NotOptimized, or Unavailable if you specify the name parameter as Finding.
Specify MemoryOverprovisioned, MemoryUnderprovisioned, InsufficientData, or Inconclusive if you specify the name parameter as FindingReasonCode.

lambdaFunctionRecommendationFilter_name :: Lens' LambdaFunctionRecommendationFilter (Maybe LambdaFunctionRecommendationFilterName) Source #

The name of the filter.

Specify Finding to return recommendations with a specific finding classification (for example, NotOptimized).

Specify FindingReasonCode to return recommendations with a specific finding reason code (for example, MemoryUnderprovisioned).

lambdaFunctionRecommendationFilter_values :: Lens' LambdaFunctionRecommendationFilter (Maybe [Text]) Source #

The value of the filter.

The valid values for this parameter are as follows, depending on what you specify for the name parameter:

Specify Optimized, NotOptimized, or Unavailable if you specify the name parameter as Finding.
Specify MemoryOverprovisioned, MemoryUnderprovisioned, InsufficientData, or Inconclusive if you specify the name parameter as FindingReasonCode.

LambdaFunctionUtilizationMetric

data LambdaFunctionUtilizationMetric Source #

Describes a utilization metric of an Lambda function.

See: newLambdaFunctionUtilizationMetric smart constructor.

Constructors

LambdaFunctionUtilizationMetric'

Fields

name :: Maybe LambdaFunctionMetricName
The name of the utilization metric.
The following utilization metrics are available:
- Duration - The amount of time that your function code spends processing an event.
- Memory - The amount of memory used per invocation.
statistic :: Maybe LambdaFunctionMetricStatistic
The statistic of the utilization metric.
The Compute Optimizer API, Command Line Interface (CLI), and SDKs return utilization metrics using only the Maximum statistic, which is the highest value observed during the specified period.
The Compute Optimizer console displays graphs for some utilization metrics using the Average statistic, which is the value of Sum / SampleCount during the specified period. For more information, see Viewing resource recommendations in the Compute Optimizer User Guide. You can also get averaged utilization metric data for your resources using Amazon CloudWatch. For more information, see the Amazon CloudWatch User Guide.
value :: Maybe Double
The value of the utilization metric.

Instances

Instances details

FromJSON LambdaFunctionUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionUtilizationMetric Methods parseJSON :: Value -> Parser LambdaFunctionUtilizationMetric # parseJSONList :: Value -> Parser [LambdaFunctionUtilizationMetric] #
Generic LambdaFunctionUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionUtilizationMetric Associated Types type Rep LambdaFunctionUtilizationMetric :: Type -> Type # Methods from :: LambdaFunctionUtilizationMetric -> Rep LambdaFunctionUtilizationMetric x # to :: Rep LambdaFunctionUtilizationMetric x -> LambdaFunctionUtilizationMetric #
Read LambdaFunctionUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionUtilizationMetric Methods readsPrec :: Int -> ReadS LambdaFunctionUtilizationMetric # readList :: ReadS [LambdaFunctionUtilizationMetric] # readPrec :: ReadPrec LambdaFunctionUtilizationMetric # readListPrec :: ReadPrec [LambdaFunctionUtilizationMetric] #
Show LambdaFunctionUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionUtilizationMetric Methods showsPrec :: Int -> LambdaFunctionUtilizationMetric -> ShowS # show :: LambdaFunctionUtilizationMetric -> String # showList :: [LambdaFunctionUtilizationMetric] -> ShowS #
NFData LambdaFunctionUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionUtilizationMetric Methods rnf :: LambdaFunctionUtilizationMetric -> () #
Eq LambdaFunctionUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionUtilizationMetric Methods (==) :: LambdaFunctionUtilizationMetric -> LambdaFunctionUtilizationMetric -> Bool # (/=) :: LambdaFunctionUtilizationMetric -> LambdaFunctionUtilizationMetric -> Bool #
Hashable LambdaFunctionUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionUtilizationMetric Methods hashWithSalt :: Int -> LambdaFunctionUtilizationMetric -> Int # hash :: LambdaFunctionUtilizationMetric -> Int #
type Rep LambdaFunctionUtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.LambdaFunctionUtilizationMetric type Rep LambdaFunctionUtilizationMetric = D1 ('MetaData "LambdaFunctionUtilizationMetric" "Amazonka.ComputeOptimizer.Types.LambdaFunctionUtilizationMetric" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "LambdaFunctionUtilizationMetric'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe LambdaFunctionMetricName)) :: (S1 ('MetaSel ('Just "statistic") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe LambdaFunctionMetricStatistic)) :: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))))

newLambdaFunctionUtilizationMetric :: LambdaFunctionUtilizationMetric Source #

Create a value of LambdaFunctionUtilizationMetric with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:name:LambdaFunctionUtilizationMetric', lambdaFunctionUtilizationMetric_name - The name of the utilization metric.

The following utilization metrics are available:

Duration - The amount of time that your function code spends processing an event.
Memory - The amount of memory used per invocation.

$sel:statistic:LambdaFunctionUtilizationMetric', lambdaFunctionUtilizationMetric_statistic - The statistic of the utilization metric.

The Compute Optimizer API, Command Line Interface (CLI), and SDKs return utilization metrics using only the Maximum statistic, which is the highest value observed during the specified period.

The Compute Optimizer console displays graphs for some utilization metrics using the Average statistic, which is the value of Sum / SampleCount during the specified period. For more information, see Viewing resource recommendations in the Compute Optimizer User Guide. You can also get averaged utilization metric data for your resources using Amazon CloudWatch. For more information, see the Amazon CloudWatch User Guide.

$sel:value:LambdaFunctionUtilizationMetric', lambdaFunctionUtilizationMetric_value - The value of the utilization metric.

lambdaFunctionUtilizationMetric_name :: Lens' LambdaFunctionUtilizationMetric (Maybe LambdaFunctionMetricName) Source #

The name of the utilization metric.

The following utilization metrics are available:

Duration - The amount of time that your function code spends processing an event.
Memory - The amount of memory used per invocation.

lambdaFunctionUtilizationMetric_statistic :: Lens' LambdaFunctionUtilizationMetric (Maybe LambdaFunctionMetricStatistic) Source #

The statistic of the utilization metric.

The Compute Optimizer API, Command Line Interface (CLI), and SDKs return utilization metrics using only the Maximum statistic, which is the highest value observed during the specified period.

The Compute Optimizer console displays graphs for some utilization metrics using the Average statistic, which is the value of Sum / SampleCount during the specified period. For more information, see Viewing resource recommendations in the Compute Optimizer User Guide. You can also get averaged utilization metric data for your resources using Amazon CloudWatch. For more information, see the Amazon CloudWatch User Guide.

lambdaFunctionUtilizationMetric_value :: Lens' LambdaFunctionUtilizationMetric (Maybe Double) Source #

The value of the utilization metric.

MemorySizeConfiguration

data MemorySizeConfiguration Source #

The memory size configurations of a container.

See: newMemorySizeConfiguration smart constructor.

Constructors

MemorySizeConfiguration'
Fields memory :: Maybe Int The amount of memory in the container. memoryReservation :: Maybe Int The limit of memory reserve for the container.

Instances

Instances details

FromJSON MemorySizeConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MemorySizeConfiguration Methods parseJSON :: Value -> Parser MemorySizeConfiguration # parseJSONList :: Value -> Parser [MemorySizeConfiguration] #
Generic MemorySizeConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MemorySizeConfiguration Associated Types type Rep MemorySizeConfiguration :: Type -> Type # Methods from :: MemorySizeConfiguration -> Rep MemorySizeConfiguration x # to :: Rep MemorySizeConfiguration x -> MemorySizeConfiguration #
Read MemorySizeConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MemorySizeConfiguration Methods readsPrec :: Int -> ReadS MemorySizeConfiguration # readList :: ReadS [MemorySizeConfiguration] # readPrec :: ReadPrec MemorySizeConfiguration # readListPrec :: ReadPrec [MemorySizeConfiguration] #
Show MemorySizeConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MemorySizeConfiguration Methods showsPrec :: Int -> MemorySizeConfiguration -> ShowS # show :: MemorySizeConfiguration -> String # showList :: [MemorySizeConfiguration] -> ShowS #
NFData MemorySizeConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MemorySizeConfiguration Methods rnf :: MemorySizeConfiguration -> () #
Eq MemorySizeConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MemorySizeConfiguration Methods (==) :: MemorySizeConfiguration -> MemorySizeConfiguration -> Bool # (/=) :: MemorySizeConfiguration -> MemorySizeConfiguration -> Bool #
Hashable MemorySizeConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MemorySizeConfiguration Methods hashWithSalt :: Int -> MemorySizeConfiguration -> Int # hash :: MemorySizeConfiguration -> Int #
type Rep MemorySizeConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.MemorySizeConfiguration type Rep MemorySizeConfiguration = D1 ('MetaData "MemorySizeConfiguration" "Amazonka.ComputeOptimizer.Types.MemorySizeConfiguration" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "MemorySizeConfiguration'" 'PrefixI 'True) (S1 ('MetaSel ('Just "memory") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :*: S1 ('MetaSel ('Just "memoryReservation") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int))))

newMemorySizeConfiguration :: MemorySizeConfiguration Source #

Create a value of MemorySizeConfiguration with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:memory:MemorySizeConfiguration', memorySizeConfiguration_memory - The amount of memory in the container.

$sel:memoryReservation:MemorySizeConfiguration', memorySizeConfiguration_memoryReservation - The limit of memory reserve for the container.

memorySizeConfiguration_memory :: Lens' MemorySizeConfiguration (Maybe Int) Source #

The amount of memory in the container.

memorySizeConfiguration_memoryReservation :: Lens' MemorySizeConfiguration (Maybe Int) Source #

The limit of memory reserve for the container.

ProjectedMetric

data ProjectedMetric Source #

Describes a projected utilization metric of a recommendation option, such as an Amazon EC2 instance. This represents the projected utilization of a recommendation option had you used that resource during the analyzed period.

Compare the utilization metric data of your resource against its projected utilization metric data to determine the performance difference between your current resource and the recommended option.

The Cpu and Memory metrics are the only projected utilization metrics returned when you run the GetEC2RecommendationProjectedMetrics action. Additionally, the Memory metric is returned only for resources that have the unified CloudWatch agent installed on them. For more information, see Enabling Memory Utilization with the CloudWatch Agent.

See: newProjectedMetric smart constructor.

Constructors

ProjectedMetric'

Fields

name :: Maybe MetricName
The name of the projected utilization metric.
The following projected utilization metrics are returned:
- Cpu - The projected percentage of allocated EC2 compute units that would be in use on the recommendation option had you used that resource during the analyzed period. This metric identifies the processing power required to run an application on the recommendation option.
  Depending on the instance type, tools in your operating system can show a lower percentage than CloudWatch when the instance is not allocated a full processor core.
  Units: Percent
- Memory - The percentage of memory that would be in use on the recommendation option had you used that resource during the analyzed period. This metric identifies the amount of memory required to run an application on the recommendation option.
  Units: Percent
  The Memory metric is returned only for resources that have the unified CloudWatch agent installed on them. For more information, see Enabling Memory Utilization with the CloudWatch Agent.
timestamps :: Maybe [POSIX]
The timestamps of the projected utilization metric.
values :: Maybe [Double]
The values of the projected utilization metrics.

Instances

Instances details

FromJSON ProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ProjectedMetric Methods parseJSON :: Value -> Parser ProjectedMetric # parseJSONList :: Value -> Parser [ProjectedMetric] #
Generic ProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ProjectedMetric Associated Types type Rep ProjectedMetric :: Type -> Type # Methods from :: ProjectedMetric -> Rep ProjectedMetric x # to :: Rep ProjectedMetric x -> ProjectedMetric #
Read ProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ProjectedMetric Methods readsPrec :: Int -> ReadS ProjectedMetric # readList :: ReadS [ProjectedMetric] # readPrec :: ReadPrec ProjectedMetric # readListPrec :: ReadPrec [ProjectedMetric] #
Show ProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ProjectedMetric Methods showsPrec :: Int -> ProjectedMetric -> ShowS # show :: ProjectedMetric -> String # showList :: [ProjectedMetric] -> ShowS #
NFData ProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ProjectedMetric Methods rnf :: ProjectedMetric -> () #
Eq ProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ProjectedMetric Methods (==) :: ProjectedMetric -> ProjectedMetric -> Bool # (/=) :: ProjectedMetric -> ProjectedMetric -> Bool #
Hashable ProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ProjectedMetric Methods hashWithSalt :: Int -> ProjectedMetric -> Int # hash :: ProjectedMetric -> Int #
type Rep ProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ProjectedMetric type Rep ProjectedMetric = D1 ('MetaData "ProjectedMetric" "Amazonka.ComputeOptimizer.Types.ProjectedMetric" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "ProjectedMetric'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MetricName)) :: (S1 ('MetaSel ('Just "timestamps") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [POSIX])) :: S1 ('MetaSel ('Just "values") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Double])))))

newProjectedMetric :: ProjectedMetric Source #

Create a value of ProjectedMetric with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:name:ProjectedMetric', projectedMetric_name - The name of the projected utilization metric.

The following projected utilization metrics are returned:

Cpu - The projected percentage of allocated EC2 compute units that would be in use on the recommendation option had you used that resource during the analyzed period. This metric identifies the processing power required to run an application on the recommendation option.
Depending on the instance type, tools in your operating system can show a lower percentage than CloudWatch when the instance is not allocated a full processor core.
Units: Percent
Memory - The percentage of memory that would be in use on the recommendation option had you used that resource during the analyzed period. This metric identifies the amount of memory required to run an application on the recommendation option.
Units: Percent
The Memory metric is returned only for resources that have the unified CloudWatch agent installed on them. For more information, see Enabling Memory Utilization with the CloudWatch Agent.

$sel:timestamps:ProjectedMetric', projectedMetric_timestamps - The timestamps of the projected utilization metric.

$sel:values:ProjectedMetric', projectedMetric_values - The values of the projected utilization metrics.

projectedMetric_name :: Lens' ProjectedMetric (Maybe MetricName) Source #

The name of the projected utilization metric.

The following projected utilization metrics are returned:

Cpu - The projected percentage of allocated EC2 compute units that would be in use on the recommendation option had you used that resource during the analyzed period. This metric identifies the processing power required to run an application on the recommendation option.
Depending on the instance type, tools in your operating system can show a lower percentage than CloudWatch when the instance is not allocated a full processor core.
Units: Percent
Memory - The percentage of memory that would be in use on the recommendation option had you used that resource during the analyzed period. This metric identifies the amount of memory required to run an application on the recommendation option.
Units: Percent
The Memory metric is returned only for resources that have the unified CloudWatch agent installed on them. For more information, see Enabling Memory Utilization with the CloudWatch Agent.

projectedMetric_timestamps :: Lens' ProjectedMetric (Maybe [UTCTime]) Source #

The timestamps of the projected utilization metric.

projectedMetric_values :: Lens' ProjectedMetric (Maybe [Double]) Source #

The values of the projected utilization metrics.

ReasonCodeSummary

data ReasonCodeSummary Source #

A summary of a finding reason code.

See: newReasonCodeSummary smart constructor.

Constructors

ReasonCodeSummary'
Fields name :: Maybe FindingReasonCode The name of the finding reason code. value :: Maybe Double The value of the finding reason code summary.

Instances

Instances details

FromJSON ReasonCodeSummary Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ReasonCodeSummary Methods parseJSON :: Value -> Parser ReasonCodeSummary # parseJSONList :: Value -> Parser [ReasonCodeSummary] #
Generic ReasonCodeSummary Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ReasonCodeSummary Associated Types type Rep ReasonCodeSummary :: Type -> Type # Methods from :: ReasonCodeSummary -> Rep ReasonCodeSummary x # to :: Rep ReasonCodeSummary x -> ReasonCodeSummary #
Read ReasonCodeSummary Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ReasonCodeSummary Methods readsPrec :: Int -> ReadS ReasonCodeSummary # readList :: ReadS [ReasonCodeSummary] # readPrec :: ReadPrec ReasonCodeSummary # readListPrec :: ReadPrec [ReasonCodeSummary] #
Show ReasonCodeSummary Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ReasonCodeSummary Methods showsPrec :: Int -> ReasonCodeSummary -> ShowS # show :: ReasonCodeSummary -> String # showList :: [ReasonCodeSummary] -> ShowS #
NFData ReasonCodeSummary Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ReasonCodeSummary Methods rnf :: ReasonCodeSummary -> () #
Eq ReasonCodeSummary Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ReasonCodeSummary Methods (==) :: ReasonCodeSummary -> ReasonCodeSummary -> Bool # (/=) :: ReasonCodeSummary -> ReasonCodeSummary -> Bool #
Hashable ReasonCodeSummary Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ReasonCodeSummary Methods hashWithSalt :: Int -> ReasonCodeSummary -> Int # hash :: ReasonCodeSummary -> Int #
type Rep ReasonCodeSummary Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ReasonCodeSummary type Rep ReasonCodeSummary = D1 ('MetaData "ReasonCodeSummary" "Amazonka.ComputeOptimizer.Types.ReasonCodeSummary" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "ReasonCodeSummary'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FindingReasonCode)) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))

newReasonCodeSummary :: ReasonCodeSummary Source #

Create a value of ReasonCodeSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:name:ReasonCodeSummary', reasonCodeSummary_name - The name of the finding reason code.

$sel:value:ReasonCodeSummary', reasonCodeSummary_value - The value of the finding reason code summary.

reasonCodeSummary_name :: Lens' ReasonCodeSummary (Maybe FindingReasonCode) Source #

The name of the finding reason code.

reasonCodeSummary_value :: Lens' ReasonCodeSummary (Maybe Double) Source #

The value of the finding reason code summary.

RecommendationExportJob

data RecommendationExportJob Source #

Describes a recommendation export job.

Use the DescribeRecommendationExportJobs action to view your recommendation export jobs.

Use the ExportAutoScalingGroupRecommendations or ExportEC2InstanceRecommendations actions to request an export of your recommendations.

See: newRecommendationExportJob smart constructor.

Constructors

RecommendationExportJob'

Fields

creationTimestamp :: Maybe POSIX
The timestamp of when the export job was created.
destination :: Maybe ExportDestination
An object that describes the destination of the export file.
failureReason :: Maybe Text
The reason for an export job failure.
jobId :: Maybe Text
The identification number of the export job.
lastUpdatedTimestamp :: Maybe POSIX
The timestamp of when the export job was last updated.
resourceType :: Maybe ResourceType
The resource type of the exported recommendations.
status :: Maybe JobStatus
The status of the export job.

Instances

Instances details

FromJSON RecommendationExportJob Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationExportJob Methods parseJSON :: Value -> Parser RecommendationExportJob # parseJSONList :: Value -> Parser [RecommendationExportJob] #
Generic RecommendationExportJob Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationExportJob Associated Types type Rep RecommendationExportJob :: Type -> Type # Methods from :: RecommendationExportJob -> Rep RecommendationExportJob x # to :: Rep RecommendationExportJob x -> RecommendationExportJob #
Read RecommendationExportJob Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationExportJob Methods readsPrec :: Int -> ReadS RecommendationExportJob # readList :: ReadS [RecommendationExportJob] # readPrec :: ReadPrec RecommendationExportJob # readListPrec :: ReadPrec [RecommendationExportJob] #
Show RecommendationExportJob Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationExportJob Methods showsPrec :: Int -> RecommendationExportJob -> ShowS # show :: RecommendationExportJob -> String # showList :: [RecommendationExportJob] -> ShowS #
NFData RecommendationExportJob Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationExportJob Methods rnf :: RecommendationExportJob -> () #
Eq RecommendationExportJob Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationExportJob Methods (==) :: RecommendationExportJob -> RecommendationExportJob -> Bool # (/=) :: RecommendationExportJob -> RecommendationExportJob -> Bool #
Hashable RecommendationExportJob Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationExportJob Methods hashWithSalt :: Int -> RecommendationExportJob -> Int # hash :: RecommendationExportJob -> Int #
type Rep RecommendationExportJob Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationExportJob type Rep RecommendationExportJob = D1 ('MetaData "RecommendationExportJob" "Amazonka.ComputeOptimizer.Types.RecommendationExportJob" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "RecommendationExportJob'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "destination") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ExportDestination)) :: S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "jobId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "lastUpdatedTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "resourceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ResourceType)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe JobStatus))))))

newRecommendationExportJob :: RecommendationExportJob Source #

Create a value of RecommendationExportJob with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTimestamp:RecommendationExportJob', recommendationExportJob_creationTimestamp - The timestamp of when the export job was created.

$sel:destination:RecommendationExportJob', recommendationExportJob_destination - An object that describes the destination of the export file.

$sel:failureReason:RecommendationExportJob', recommendationExportJob_failureReason - The reason for an export job failure.

$sel:jobId:RecommendationExportJob', recommendationExportJob_jobId - The identification number of the export job.

$sel:lastUpdatedTimestamp:RecommendationExportJob', recommendationExportJob_lastUpdatedTimestamp - The timestamp of when the export job was last updated.

$sel:resourceType:RecommendationExportJob', recommendationExportJob_resourceType - The resource type of the exported recommendations.

$sel:status:RecommendationExportJob', recommendationExportJob_status - The status of the export job.

recommendationExportJob_creationTimestamp :: Lens' RecommendationExportJob (Maybe UTCTime) Source #

The timestamp of when the export job was created.

recommendationExportJob_destination :: Lens' RecommendationExportJob (Maybe ExportDestination) Source #

An object that describes the destination of the export file.

recommendationExportJob_failureReason :: Lens' RecommendationExportJob (Maybe Text) Source #

The reason for an export job failure.

recommendationExportJob_jobId :: Lens' RecommendationExportJob (Maybe Text) Source #

The identification number of the export job.

recommendationExportJob_lastUpdatedTimestamp :: Lens' RecommendationExportJob (Maybe UTCTime) Source #

The timestamp of when the export job was last updated.

recommendationExportJob_resourceType :: Lens' RecommendationExportJob (Maybe ResourceType) Source #

The resource type of the exported recommendations.

recommendationExportJob_status :: Lens' RecommendationExportJob (Maybe JobStatus) Source #

The status of the export job.

RecommendationPreferences

data RecommendationPreferences Source #

Describes the recommendation preferences to return in the response of a GetAutoScalingGroupRecommendations, GetEC2InstanceRecommendations, and GetEC2RecommendationProjectedMetrics request.

See: newRecommendationPreferences smart constructor.

Constructors

RecommendationPreferences'

Fields

cpuVendorArchitectures :: Maybe [CpuVendorArchitecture]
Specifies the CPU vendor and architecture for Amazon EC2 instance and Auto Scaling group recommendations.
For example, when you specify AWS_ARM64 with:
- A GetEC2InstanceRecommendations or GetAutoScalingGroupRecommendations request, Compute Optimizer returns recommendations that consist of Graviton2 instance types only.
- A GetEC2RecommendationProjectedMetrics request, Compute Optimizer returns projected utilization metrics for Graviton2 instance type recommendations only.
- A ExportEC2InstanceRecommendations or ExportAutoScalingGroupRecommendations request, Compute Optimizer exports recommendations that consist of Graviton2 instance types only.

Instances

Instances details

ToJSON RecommendationPreferences Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationPreferences Methods toJSON :: RecommendationPreferences -> Value # toEncoding :: RecommendationPreferences -> Encoding # toJSONList :: [RecommendationPreferences] -> Value # toEncodingList :: [RecommendationPreferences] -> Encoding #
Generic RecommendationPreferences Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationPreferences Associated Types type Rep RecommendationPreferences :: Type -> Type # Methods from :: RecommendationPreferences -> Rep RecommendationPreferences x # to :: Rep RecommendationPreferences x -> RecommendationPreferences #
Read RecommendationPreferences Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationPreferences Methods readsPrec :: Int -> ReadS RecommendationPreferences # readList :: ReadS [RecommendationPreferences] # readPrec :: ReadPrec RecommendationPreferences # readListPrec :: ReadPrec [RecommendationPreferences] #
Show RecommendationPreferences Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationPreferences Methods showsPrec :: Int -> RecommendationPreferences -> ShowS # show :: RecommendationPreferences -> String # showList :: [RecommendationPreferences] -> ShowS #
NFData RecommendationPreferences Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationPreferences Methods rnf :: RecommendationPreferences -> () #
Eq RecommendationPreferences Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationPreferences Methods (==) :: RecommendationPreferences -> RecommendationPreferences -> Bool # (/=) :: RecommendationPreferences -> RecommendationPreferences -> Bool #
Hashable RecommendationPreferences Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationPreferences Methods hashWithSalt :: Int -> RecommendationPreferences -> Int # hash :: RecommendationPreferences -> Int #
type Rep RecommendationPreferences Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationPreferences type Rep RecommendationPreferences = D1 ('MetaData "RecommendationPreferences" "Amazonka.ComputeOptimizer.Types.RecommendationPreferences" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "RecommendationPreferences'" 'PrefixI 'True) (S1 ('MetaSel ('Just "cpuVendorArchitectures") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [CpuVendorArchitecture]))))

newRecommendationPreferences :: RecommendationPreferences Source #

Create a value of RecommendationPreferences with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:cpuVendorArchitectures:RecommendationPreferences', recommendationPreferences_cpuVendorArchitectures - Specifies the CPU vendor and architecture for Amazon EC2 instance and Auto Scaling group recommendations.

For example, when you specify AWS_ARM64 with:

A GetEC2InstanceRecommendations or GetAutoScalingGroupRecommendations request, Compute Optimizer returns recommendations that consist of Graviton2 instance types only.
A GetEC2RecommendationProjectedMetrics request, Compute Optimizer returns projected utilization metrics for Graviton2 instance type recommendations only.
A ExportEC2InstanceRecommendations or ExportAutoScalingGroupRecommendations request, Compute Optimizer exports recommendations that consist of Graviton2 instance types only.

recommendationPreferences_cpuVendorArchitectures :: Lens' RecommendationPreferences (Maybe [CpuVendorArchitecture]) Source #

Specifies the CPU vendor and architecture for Amazon EC2 instance and Auto Scaling group recommendations.

For example, when you specify AWS_ARM64 with:

A GetEC2InstanceRecommendations or GetAutoScalingGroupRecommendations request, Compute Optimizer returns recommendations that consist of Graviton2 instance types only.
A GetEC2RecommendationProjectedMetrics request, Compute Optimizer returns projected utilization metrics for Graviton2 instance type recommendations only.
A ExportEC2InstanceRecommendations or ExportAutoScalingGroupRecommendations request, Compute Optimizer exports recommendations that consist of Graviton2 instance types only.

RecommendationPreferencesDetail

data RecommendationPreferencesDetail Source #

Describes a recommendation preference.

See: newRecommendationPreferencesDetail smart constructor.

Constructors

RecommendationPreferencesDetail'

Fields

enhancedInfrastructureMetrics :: Maybe EnhancedInfrastructureMetrics
The status of the enhanced infrastructure metrics recommendation preference.
When the recommendations page is refreshed, a status of Active confirms that the preference is applied to the recommendations, and a status of Inactive confirms that the preference isn't yet applied to recommendations.
For more information, see Enhanced infrastructure metrics in the Compute Optimizer User Guide.
externalMetricsPreference :: Maybe ExternalMetricsPreference
An object that describes the external metrics recommendation preference.
If the preference is applied in the latest recommendation refresh, an object with a valid source value appears in the response. If the preference isn't applied to the recommendations already, then this object doesn't appear in the response.
inferredWorkloadTypes :: Maybe InferredWorkloadTypesPreference
The status of the inferred workload types recommendation preference.
When the recommendations page is refreshed, a status of Active confirms that the preference is applied to the recommendations, and a status of Inactive confirms that the preference isn't yet applied to recommendations.
resourceType :: Maybe ResourceType
The target resource type of the recommendation preference to create.
The Ec2Instance option encompasses standalone instances and instances that are part of Auto Scaling groups. The AutoScalingGroup option encompasses only instances that are part of an Auto Scaling group.
scope :: Maybe Scope
An object that describes the scope of the recommendation preference.
Recommendation preferences can be created at the organization level (for management accounts of an organization only), account level, and resource level. For more information, see Activating enhanced infrastructure metrics in the Compute Optimizer User Guide.

Instances

Instances details

FromJSON RecommendationPreferencesDetail Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationPreferencesDetail Methods parseJSON :: Value -> Parser RecommendationPreferencesDetail # parseJSONList :: Value -> Parser [RecommendationPreferencesDetail] #
Generic RecommendationPreferencesDetail Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationPreferencesDetail Associated Types type Rep RecommendationPreferencesDetail :: Type -> Type # Methods from :: RecommendationPreferencesDetail -> Rep RecommendationPreferencesDetail x # to :: Rep RecommendationPreferencesDetail x -> RecommendationPreferencesDetail #
Read RecommendationPreferencesDetail Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationPreferencesDetail Methods readsPrec :: Int -> ReadS RecommendationPreferencesDetail # readList :: ReadS [RecommendationPreferencesDetail] # readPrec :: ReadPrec RecommendationPreferencesDetail # readListPrec :: ReadPrec [RecommendationPreferencesDetail] #
Show RecommendationPreferencesDetail Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationPreferencesDetail Methods showsPrec :: Int -> RecommendationPreferencesDetail -> ShowS # show :: RecommendationPreferencesDetail -> String # showList :: [RecommendationPreferencesDetail] -> ShowS #
NFData RecommendationPreferencesDetail Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationPreferencesDetail Methods rnf :: RecommendationPreferencesDetail -> () #
Eq RecommendationPreferencesDetail Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationPreferencesDetail Methods (==) :: RecommendationPreferencesDetail -> RecommendationPreferencesDetail -> Bool # (/=) :: RecommendationPreferencesDetail -> RecommendationPreferencesDetail -> Bool #
Hashable RecommendationPreferencesDetail Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationPreferencesDetail Methods hashWithSalt :: Int -> RecommendationPreferencesDetail -> Int # hash :: RecommendationPreferencesDetail -> Int #
type Rep RecommendationPreferencesDetail Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationPreferencesDetail type Rep RecommendationPreferencesDetail = D1 ('MetaData "RecommendationPreferencesDetail" "Amazonka.ComputeOptimizer.Types.RecommendationPreferencesDetail" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "RecommendationPreferencesDetail'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "enhancedInfrastructureMetrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EnhancedInfrastructureMetrics)) :: S1 ('MetaSel ('Just "externalMetricsPreference") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ExternalMetricsPreference))) :: (S1 ('MetaSel ('Just "inferredWorkloadTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe InferredWorkloadTypesPreference)) :: (S1 ('MetaSel ('Just "resourceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ResourceType)) :: S1 ('MetaSel ('Just "scope") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Scope))))))

newRecommendationPreferencesDetail :: RecommendationPreferencesDetail Source #

Create a value of RecommendationPreferencesDetail with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:enhancedInfrastructureMetrics:RecommendationPreferencesDetail', recommendationPreferencesDetail_enhancedInfrastructureMetrics - The status of the enhanced infrastructure metrics recommendation preference.

When the recommendations page is refreshed, a status of Active confirms that the preference is applied to the recommendations, and a status of Inactive confirms that the preference isn't yet applied to recommendations.

For more information, see Enhanced infrastructure metrics in the Compute Optimizer User Guide.

$sel:externalMetricsPreference:RecommendationPreferencesDetail', recommendationPreferencesDetail_externalMetricsPreference - An object that describes the external metrics recommendation preference.

If the preference is applied in the latest recommendation refresh, an object with a valid source value appears in the response. If the preference isn't applied to the recommendations already, then this object doesn't appear in the response.

$sel:inferredWorkloadTypes:RecommendationPreferencesDetail', recommendationPreferencesDetail_inferredWorkloadTypes - The status of the inferred workload types recommendation preference.

When the recommendations page is refreshed, a status of Active confirms that the preference is applied to the recommendations, and a status of Inactive confirms that the preference isn't yet applied to recommendations.

$sel:resourceType:RecommendationPreferencesDetail', recommendationPreferencesDetail_resourceType - The target resource type of the recommendation preference to create.

The Ec2Instance option encompasses standalone instances and instances that are part of Auto Scaling groups. The AutoScalingGroup option encompasses only instances that are part of an Auto Scaling group.

$sel:scope:RecommendationPreferencesDetail', recommendationPreferencesDetail_scope - An object that describes the scope of the recommendation preference.

Recommendation preferences can be created at the organization level (for management accounts of an organization only), account level, and resource level. For more information, see Activating enhanced infrastructure metrics in the Compute Optimizer User Guide.

recommendationPreferencesDetail_enhancedInfrastructureMetrics :: Lens' RecommendationPreferencesDetail (Maybe EnhancedInfrastructureMetrics) Source #

The status of the enhanced infrastructure metrics recommendation preference.

When the recommendations page is refreshed, a status of Active confirms that the preference is applied to the recommendations, and a status of Inactive confirms that the preference isn't yet applied to recommendations.

For more information, see Enhanced infrastructure metrics in the Compute Optimizer User Guide.

recommendationPreferencesDetail_externalMetricsPreference :: Lens' RecommendationPreferencesDetail (Maybe ExternalMetricsPreference) Source #

An object that describes the external metrics recommendation preference.

If the preference is applied in the latest recommendation refresh, an object with a valid source value appears in the response. If the preference isn't applied to the recommendations already, then this object doesn't appear in the response.

recommendationPreferencesDetail_inferredWorkloadTypes :: Lens' RecommendationPreferencesDetail (Maybe InferredWorkloadTypesPreference) Source #

The status of the inferred workload types recommendation preference.

When the recommendations page is refreshed, a status of Active confirms that the preference is applied to the recommendations, and a status of Inactive confirms that the preference isn't yet applied to recommendations.

recommendationPreferencesDetail_resourceType :: Lens' RecommendationPreferencesDetail (Maybe ResourceType) Source #

The target resource type of the recommendation preference to create.

The Ec2Instance option encompasses standalone instances and instances that are part of Auto Scaling groups. The AutoScalingGroup option encompasses only instances that are part of an Auto Scaling group.

recommendationPreferencesDetail_scope :: Lens' RecommendationPreferencesDetail (Maybe Scope) Source #

An object that describes the scope of the recommendation preference.

Recommendation preferences can be created at the organization level (for management accounts of an organization only), account level, and resource level. For more information, see Activating enhanced infrastructure metrics in the Compute Optimizer User Guide.

RecommendationSource

data RecommendationSource Source #

Describes the source of a recommendation, such as an Amazon EC2 instance or Auto Scaling group.

See: newRecommendationSource smart constructor.

Constructors

RecommendationSource'
Fields recommendationSourceArn :: Maybe Text The Amazon Resource Name (ARN) of the recommendation source. recommendationSourceType :: Maybe RecommendationSourceType The resource type of the recommendation source.

Instances

Instances details

FromJSON RecommendationSource Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationSource Methods parseJSON :: Value -> Parser RecommendationSource # parseJSONList :: Value -> Parser [RecommendationSource] #
Generic RecommendationSource Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationSource Associated Types type Rep RecommendationSource :: Type -> Type # Methods from :: RecommendationSource -> Rep RecommendationSource x # to :: Rep RecommendationSource x -> RecommendationSource #
Read RecommendationSource Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationSource Methods readsPrec :: Int -> ReadS RecommendationSource # readList :: ReadS [RecommendationSource] # readPrec :: ReadPrec RecommendationSource # readListPrec :: ReadPrec [RecommendationSource] #
Show RecommendationSource Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationSource Methods showsPrec :: Int -> RecommendationSource -> ShowS # show :: RecommendationSource -> String # showList :: [RecommendationSource] -> ShowS #
NFData RecommendationSource Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationSource Methods rnf :: RecommendationSource -> () #
Eq RecommendationSource Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationSource Methods (==) :: RecommendationSource -> RecommendationSource -> Bool # (/=) :: RecommendationSource -> RecommendationSource -> Bool #
Hashable RecommendationSource Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationSource Methods hashWithSalt :: Int -> RecommendationSource -> Int # hash :: RecommendationSource -> Int #
type Rep RecommendationSource Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationSource type Rep RecommendationSource = D1 ('MetaData "RecommendationSource" "Amazonka.ComputeOptimizer.Types.RecommendationSource" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "RecommendationSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "recommendationSourceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "recommendationSourceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RecommendationSourceType))))

newRecommendationSource :: RecommendationSource Source #

Create a value of RecommendationSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:recommendationSourceArn:RecommendationSource', recommendationSource_recommendationSourceArn - The Amazon Resource Name (ARN) of the recommendation source.

$sel:recommendationSourceType:RecommendationSource', recommendationSource_recommendationSourceType - The resource type of the recommendation source.

recommendationSource_recommendationSourceArn :: Lens' RecommendationSource (Maybe Text) Source #

The Amazon Resource Name (ARN) of the recommendation source.

recommendationSource_recommendationSourceType :: Lens' RecommendationSource (Maybe RecommendationSourceType) Source #

The resource type of the recommendation source.

RecommendationSummary

data RecommendationSummary Source #

A summary of a recommendation.

See: newRecommendationSummary smart constructor.

Constructors

RecommendationSummary'

Fields

accountId :: Maybe Text
The Amazon Web Services account ID of the recommendation summary.
currentPerformanceRiskRatings :: Maybe CurrentPerformanceRiskRatings
An object that describes the performance risk ratings for a given resource type.
recommendationResourceType :: Maybe RecommendationSourceType
The resource type that the recommendation summary applies to.
savingsOpportunity :: Maybe SavingsOpportunity
An object that describes the savings opportunity for a given resource type. Savings opportunity includes the estimated monthly savings amount and percentage.
summaries :: Maybe [Summary]
An array of objects that describe a recommendation summary.

Instances

Instances details

FromJSON RecommendationSummary Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationSummary Methods parseJSON :: Value -> Parser RecommendationSummary # parseJSONList :: Value -> Parser [RecommendationSummary] #
Generic RecommendationSummary Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationSummary Associated Types type Rep RecommendationSummary :: Type -> Type # Methods from :: RecommendationSummary -> Rep RecommendationSummary x # to :: Rep RecommendationSummary x -> RecommendationSummary #
Read RecommendationSummary Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationSummary Methods readsPrec :: Int -> ReadS RecommendationSummary # readList :: ReadS [RecommendationSummary] # readPrec :: ReadPrec RecommendationSummary # readListPrec :: ReadPrec [RecommendationSummary] #
Show RecommendationSummary Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationSummary Methods showsPrec :: Int -> RecommendationSummary -> ShowS # show :: RecommendationSummary -> String # showList :: [RecommendationSummary] -> ShowS #
NFData RecommendationSummary Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationSummary Methods rnf :: RecommendationSummary -> () #
Eq RecommendationSummary Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationSummary Methods (==) :: RecommendationSummary -> RecommendationSummary -> Bool # (/=) :: RecommendationSummary -> RecommendationSummary -> Bool #
Hashable RecommendationSummary Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationSummary Methods hashWithSalt :: Int -> RecommendationSummary -> Int # hash :: RecommendationSummary -> Int #
type Rep RecommendationSummary Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendationSummary type Rep RecommendationSummary = D1 ('MetaData "RecommendationSummary" "Amazonka.ComputeOptimizer.Types.RecommendationSummary" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "RecommendationSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "accountId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "currentPerformanceRiskRatings") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CurrentPerformanceRiskRatings))) :: (S1 ('MetaSel ('Just "recommendationResourceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RecommendationSourceType)) :: (S1 ('MetaSel ('Just "savingsOpportunity") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe SavingsOpportunity)) :: S1 ('MetaSel ('Just "summaries") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Summary]))))))

newRecommendationSummary :: RecommendationSummary Source #

Create a value of RecommendationSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:accountId:RecommendationSummary', recommendationSummary_accountId - The Amazon Web Services account ID of the recommendation summary.

$sel:currentPerformanceRiskRatings:RecommendationSummary', recommendationSummary_currentPerformanceRiskRatings - An object that describes the performance risk ratings for a given resource type.

$sel:recommendationResourceType:RecommendationSummary', recommendationSummary_recommendationResourceType - The resource type that the recommendation summary applies to.

$sel:savingsOpportunity:RecommendationSummary', recommendationSummary_savingsOpportunity - An object that describes the savings opportunity for a given resource type. Savings opportunity includes the estimated monthly savings amount and percentage.

$sel:summaries:RecommendationSummary', recommendationSummary_summaries - An array of objects that describe a recommendation summary.

recommendationSummary_accountId :: Lens' RecommendationSummary (Maybe Text) Source #

The Amazon Web Services account ID of the recommendation summary.

recommendationSummary_currentPerformanceRiskRatings :: Lens' RecommendationSummary (Maybe CurrentPerformanceRiskRatings) Source #

An object that describes the performance risk ratings for a given resource type.

recommendationSummary_recommendationResourceType :: Lens' RecommendationSummary (Maybe RecommendationSourceType) Source #

The resource type that the recommendation summary applies to.

recommendationSummary_savingsOpportunity :: Lens' RecommendationSummary (Maybe SavingsOpportunity) Source #

An object that describes the savings opportunity for a given resource type. Savings opportunity includes the estimated monthly savings amount and percentage.

recommendationSummary_summaries :: Lens' RecommendationSummary (Maybe [Summary]) Source #

An array of objects that describe a recommendation summary.

RecommendedOptionProjectedMetric

Describes a projected utilization metric of a recommendation option.

The Cpu and Memory metrics are the only projected utilization metrics returned when you run the GetEC2RecommendationProjectedMetrics action. Additionally, the Memory metric is returned only for resources that have the unified CloudWatch agent installed on them. For more information, see Enabling Memory Utilization with the CloudWatch Agent.

See: newRecommendedOptionProjectedMetric smart constructor.

Constructors

RecommendedOptionProjectedMetric'

Fields

projectedMetrics :: Maybe [ProjectedMetric]
An array of objects that describe a projected utilization metric.
rank :: Maybe Int
The rank of the recommendation option projected metric.
The top recommendation option is ranked as 1.
The projected metric rank correlates to the recommendation option rank. For example, the projected metric ranked as 1 is related to the recommendation option that is also ranked as 1 in the same response.
recommendedInstanceType :: Maybe Text
The recommended instance type.

Instances

Instances details

FromJSON RecommendedOptionProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendedOptionProjectedMetric Methods parseJSON :: Value -> Parser RecommendedOptionProjectedMetric # parseJSONList :: Value -> Parser [RecommendedOptionProjectedMetric] #
Generic RecommendedOptionProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendedOptionProjectedMetric Associated Types type Rep RecommendedOptionProjectedMetric :: Type -> Type # Methods from :: RecommendedOptionProjectedMetric -> Rep RecommendedOptionProjectedMetric x # to :: Rep RecommendedOptionProjectedMetric x -> RecommendedOptionProjectedMetric #
Read RecommendedOptionProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendedOptionProjectedMetric Methods readsPrec :: Int -> ReadS RecommendedOptionProjectedMetric # readList :: ReadS [RecommendedOptionProjectedMetric] # readPrec :: ReadPrec RecommendedOptionProjectedMetric # readListPrec :: ReadPrec [RecommendedOptionProjectedMetric] #
Show RecommendedOptionProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendedOptionProjectedMetric Methods showsPrec :: Int -> RecommendedOptionProjectedMetric -> ShowS # show :: RecommendedOptionProjectedMetric -> String # showList :: [RecommendedOptionProjectedMetric] -> ShowS #
NFData RecommendedOptionProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendedOptionProjectedMetric Methods rnf :: RecommendedOptionProjectedMetric -> () #
Eq RecommendedOptionProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendedOptionProjectedMetric Methods (==) :: RecommendedOptionProjectedMetric -> RecommendedOptionProjectedMetric -> Bool # (/=) :: RecommendedOptionProjectedMetric -> RecommendedOptionProjectedMetric -> Bool #
Hashable RecommendedOptionProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendedOptionProjectedMetric Methods hashWithSalt :: Int -> RecommendedOptionProjectedMetric -> Int # hash :: RecommendedOptionProjectedMetric -> Int #
type Rep RecommendedOptionProjectedMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.RecommendedOptionProjectedMetric type Rep RecommendedOptionProjectedMetric = D1 ('MetaData "RecommendedOptionProjectedMetric" "Amazonka.ComputeOptimizer.Types.RecommendedOptionProjectedMetric" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "RecommendedOptionProjectedMetric'" 'PrefixI 'True) (S1 ('MetaSel ('Just "projectedMetrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ProjectedMetric])) :: (S1 ('MetaSel ('Just "rank") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :: S1 ('MetaSel ('Just "recommendedInstanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

Create a value of RecommendedOptionProjectedMetric with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:projectedMetrics:RecommendedOptionProjectedMetric', recommendedOptionProjectedMetric_projectedMetrics - An array of objects that describe a projected utilization metric.

$sel:rank:RecommendedOptionProjectedMetric', recommendedOptionProjectedMetric_rank - The rank of the recommendation option projected metric.

The top recommendation option is ranked as 1.

The projected metric rank correlates to the recommendation option rank. For example, the projected metric ranked as 1 is related to the recommendation option that is also ranked as 1 in the same response.

An array of objects that describe a projected utilization metric.

The rank of the recommendation option projected metric.

The top recommendation option is ranked as 1.

The projected metric rank correlates to the recommendation option rank. For example, the projected metric ranked as 1 is related to the recommendation option that is also ranked as 1 in the same response.

The recommended instance type.

S3Destination

data S3Destination Source #

Describes the destination Amazon Simple Storage Service (Amazon S3) bucket name and object keys of a recommendations export file, and its associated metadata file.

See: newS3Destination smart constructor.

Constructors

S3Destination'
Fields bucket :: Maybe Text The name of the Amazon S3 bucket used as the destination of an export file. key :: Maybe Text The Amazon S3 bucket key of an export file. The key uniquely identifies the object, or export file, in the S3 bucket. metadataKey :: Maybe Text The Amazon S3 bucket key of a metadata file. The key uniquely identifies the object, or metadata file, in the S3 bucket.

Instances

Instances details

FromJSON S3Destination Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.S3Destination Methods parseJSON :: Value -> Parser S3Destination # parseJSONList :: Value -> Parser [S3Destination] #
Generic S3Destination Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.S3Destination Associated Types type Rep S3Destination :: Type -> Type # Methods from :: S3Destination -> Rep S3Destination x # to :: Rep S3Destination x -> S3Destination #
Read S3Destination Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.S3Destination Methods readsPrec :: Int -> ReadS S3Destination # readList :: ReadS [S3Destination] # readPrec :: ReadPrec S3Destination # readListPrec :: ReadPrec [S3Destination] #
Show S3Destination Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.S3Destination Methods showsPrec :: Int -> S3Destination -> ShowS # show :: S3Destination -> String # showList :: [S3Destination] -> ShowS #
NFData S3Destination Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.S3Destination Methods rnf :: S3Destination -> () #
Eq S3Destination Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.S3Destination Methods (==) :: S3Destination -> S3Destination -> Bool # (/=) :: S3Destination -> S3Destination -> Bool #
Hashable S3Destination Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.S3Destination Methods hashWithSalt :: Int -> S3Destination -> Int # hash :: S3Destination -> Int #
type Rep S3Destination Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.S3Destination type Rep S3Destination = D1 ('MetaData "S3Destination" "Amazonka.ComputeOptimizer.Types.S3Destination" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "S3Destination'" 'PrefixI 'True) (S1 ('MetaSel ('Just "bucket") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "key") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "metadataKey") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newS3Destination :: S3Destination Source #

Create a value of S3Destination with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:bucket:S3Destination', s3Destination_bucket - The name of the Amazon S3 bucket used as the destination of an export file.

$sel:key:S3Destination', s3Destination_key - The Amazon S3 bucket key of an export file.

The key uniquely identifies the object, or export file, in the S3 bucket.

$sel:metadataKey:S3Destination', s3Destination_metadataKey - The Amazon S3 bucket key of a metadata file.

The key uniquely identifies the object, or metadata file, in the S3 bucket.

s3Destination_bucket :: Lens' S3Destination (Maybe Text) Source #

The name of the Amazon S3 bucket used as the destination of an export file.

s3Destination_key :: Lens' S3Destination (Maybe Text) Source #

The Amazon S3 bucket key of an export file.

The key uniquely identifies the object, or export file, in the S3 bucket.

s3Destination_metadataKey :: Lens' S3Destination (Maybe Text) Source #

The Amazon S3 bucket key of a metadata file.

The key uniquely identifies the object, or metadata file, in the S3 bucket.

S3DestinationConfig

data S3DestinationConfig Source #

Describes the destination Amazon Simple Storage Service (Amazon S3) bucket name and key prefix for a recommendations export job.

You must create the destination Amazon S3 bucket for your recommendations export before you create the export job. Compute Optimizer does not create the S3 bucket for you. After you create the S3 bucket, ensure that it has the required permission policy to allow Compute Optimizer to write the export file to it. If you plan to specify an object prefix when you create the export job, you must include the object prefix in the policy that you add to the S3 bucket. For more information, see Amazon S3 Bucket Policy for Compute Optimizer in the Compute Optimizer User Guide.

See: newS3DestinationConfig smart constructor.

Constructors

S3DestinationConfig'
Fields bucket :: Maybe Text The name of the Amazon S3 bucket to use as the destination for an export job. keyPrefix :: Maybe Text The Amazon S3 bucket prefix for an export job.

Instances

Instances details

ToJSON S3DestinationConfig Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.S3DestinationConfig Methods toJSON :: S3DestinationConfig -> Value # toEncoding :: S3DestinationConfig -> Encoding # toJSONList :: [S3DestinationConfig] -> Value # toEncodingList :: [S3DestinationConfig] -> Encoding #
Generic S3DestinationConfig Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.S3DestinationConfig Associated Types type Rep S3DestinationConfig :: Type -> Type # Methods from :: S3DestinationConfig -> Rep S3DestinationConfig x # to :: Rep S3DestinationConfig x -> S3DestinationConfig #
Read S3DestinationConfig Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.S3DestinationConfig Methods readsPrec :: Int -> ReadS S3DestinationConfig # readList :: ReadS [S3DestinationConfig] # readPrec :: ReadPrec S3DestinationConfig # readListPrec :: ReadPrec [S3DestinationConfig] #
Show S3DestinationConfig Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.S3DestinationConfig Methods showsPrec :: Int -> S3DestinationConfig -> ShowS # show :: S3DestinationConfig -> String # showList :: [S3DestinationConfig] -> ShowS #
NFData S3DestinationConfig Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.S3DestinationConfig Methods rnf :: S3DestinationConfig -> () #
Eq S3DestinationConfig Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.S3DestinationConfig Methods (==) :: S3DestinationConfig -> S3DestinationConfig -> Bool # (/=) :: S3DestinationConfig -> S3DestinationConfig -> Bool #
Hashable S3DestinationConfig Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.S3DestinationConfig Methods hashWithSalt :: Int -> S3DestinationConfig -> Int # hash :: S3DestinationConfig -> Int #
type Rep S3DestinationConfig Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.S3DestinationConfig type Rep S3DestinationConfig = D1 ('MetaData "S3DestinationConfig" "Amazonka.ComputeOptimizer.Types.S3DestinationConfig" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "S3DestinationConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "bucket") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "keyPrefix") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newS3DestinationConfig :: S3DestinationConfig Source #

Create a value of S3DestinationConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:bucket:S3DestinationConfig', s3DestinationConfig_bucket - The name of the Amazon S3 bucket to use as the destination for an export job.

$sel:keyPrefix:S3DestinationConfig', s3DestinationConfig_keyPrefix - The Amazon S3 bucket prefix for an export job.

s3DestinationConfig_bucket :: Lens' S3DestinationConfig (Maybe Text) Source #

The name of the Amazon S3 bucket to use as the destination for an export job.

s3DestinationConfig_keyPrefix :: Lens' S3DestinationConfig (Maybe Text) Source #

The Amazon S3 bucket prefix for an export job.

SavingsOpportunity

data SavingsOpportunity Source #

Describes the savings opportunity for recommendations of a given resource type or for the recommendation option of an individual resource.

Savings opportunity represents the estimated monthly savings you can achieve by implementing a given Compute Optimizer recommendation.

Savings opportunity data requires that you opt in to Cost Explorer, as well as activate Receive Amazon EC2 resource recommendations in the Cost Explorer preferences page. That creates a connection between Cost Explorer and Compute Optimizer. With this connection, Cost Explorer generates savings estimates considering the price of existing resources, the price of recommended resources, and historical usage data. Estimated monthly savings reflects the projected dollar savings associated with each of the recommendations generated. For more information, see Enabling Cost Explorer and Optimizing your cost with Rightsizing Recommendations in the Cost Management User Guide.

See: newSavingsOpportunity smart constructor.

Constructors

SavingsOpportunity'

Fields

estimatedMonthlySavings :: Maybe EstimatedMonthlySavings
An object that describes the estimated monthly savings amount possible, based on On-Demand instance pricing, by adopting Compute Optimizer recommendations for a given resource.
savingsOpportunityPercentage :: Maybe Double
The estimated monthly savings possible as a percentage of monthly cost by adopting Compute Optimizer recommendations for a given resource.

Instances

Instances details

FromJSON SavingsOpportunity Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.SavingsOpportunity Methods parseJSON :: Value -> Parser SavingsOpportunity # parseJSONList :: Value -> Parser [SavingsOpportunity] #
Generic SavingsOpportunity Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.SavingsOpportunity Associated Types type Rep SavingsOpportunity :: Type -> Type # Methods from :: SavingsOpportunity -> Rep SavingsOpportunity x # to :: Rep SavingsOpportunity x -> SavingsOpportunity #
Read SavingsOpportunity Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.SavingsOpportunity Methods readsPrec :: Int -> ReadS SavingsOpportunity # readList :: ReadS [SavingsOpportunity] # readPrec :: ReadPrec SavingsOpportunity # readListPrec :: ReadPrec [SavingsOpportunity] #
Show SavingsOpportunity Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.SavingsOpportunity Methods showsPrec :: Int -> SavingsOpportunity -> ShowS # show :: SavingsOpportunity -> String # showList :: [SavingsOpportunity] -> ShowS #
NFData SavingsOpportunity Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.SavingsOpportunity Methods rnf :: SavingsOpportunity -> () #
Eq SavingsOpportunity Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.SavingsOpportunity Methods (==) :: SavingsOpportunity -> SavingsOpportunity -> Bool # (/=) :: SavingsOpportunity -> SavingsOpportunity -> Bool #
Hashable SavingsOpportunity Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.SavingsOpportunity Methods hashWithSalt :: Int -> SavingsOpportunity -> Int # hash :: SavingsOpportunity -> Int #
type Rep SavingsOpportunity Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.SavingsOpportunity type Rep SavingsOpportunity = D1 ('MetaData "SavingsOpportunity" "Amazonka.ComputeOptimizer.Types.SavingsOpportunity" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "SavingsOpportunity'" 'PrefixI 'True) (S1 ('MetaSel ('Just "estimatedMonthlySavings") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EstimatedMonthlySavings)) :*: S1 ('MetaSel ('Just "savingsOpportunityPercentage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))

newSavingsOpportunity :: SavingsOpportunity Source #

Create a value of SavingsOpportunity with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:estimatedMonthlySavings:SavingsOpportunity', savingsOpportunity_estimatedMonthlySavings - An object that describes the estimated monthly savings amount possible, based on On-Demand instance pricing, by adopting Compute Optimizer recommendations for a given resource.

$sel:savingsOpportunityPercentage:SavingsOpportunity', savingsOpportunity_savingsOpportunityPercentage - The estimated monthly savings possible as a percentage of monthly cost by adopting Compute Optimizer recommendations for a given resource.

savingsOpportunity_estimatedMonthlySavings :: Lens' SavingsOpportunity (Maybe EstimatedMonthlySavings) Source #

An object that describes the estimated monthly savings amount possible, based on On-Demand instance pricing, by adopting Compute Optimizer recommendations for a given resource.

savingsOpportunity_savingsOpportunityPercentage :: Lens' SavingsOpportunity (Maybe Double) Source #

The estimated monthly savings possible as a percentage of monthly cost by adopting Compute Optimizer recommendations for a given resource.

Scope

data Scope Source #

Describes the scope of a recommendation preference.

Recommendation preferences can be created at the organization level (for management accounts of an organization only), account level, and resource level. For more information, see Activating enhanced infrastructure metrics in the Compute Optimizer User Guide.

You cannot create recommendation preferences for Auto Scaling groups at the organization and account levels. You can create recommendation preferences for Auto Scaling groups only at the resource level by specifying a scope name of ResourceArn and a scope value of the Auto Scaling group Amazon Resource Name (ARN). This will configure the preference for all instances that are part of the specified Auto Scaling group. You also cannot create recommendation preferences at the resource level for instances that are part of an Auto Scaling group. You can create recommendation preferences at the resource level only for standalone instances.

See: newScope smart constructor.

Constructors

Scope'

Fields

name :: Maybe ScopeName
The name of the scope.
The following scopes are possible:
- Organization - Specifies that the recommendation preference applies at the organization level, for all member accounts of an organization.
- AccountId - Specifies that the recommendation preference applies at the account level, for all resources of a given resource type in an account.
- ResourceArn - Specifies that the recommendation preference applies at the individual resource level.
value :: Maybe Text
The value of the scope.
If you specified the name of the scope as:
- Organization - The value must be ALL_ACCOUNTS.
- AccountId - The value must be a 12-digit Amazon Web Services account ID.
- ResourceArn - The value must be the Amazon Resource Name (ARN) of an EC2 instance or an Auto Scaling group.
Only EC2 instance and Auto Scaling group ARNs are currently supported.

Instances

Instances details

FromJSON Scope Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Scope Methods parseJSON :: Value -> Parser Scope # parseJSONList :: Value -> Parser [Scope] #
ToJSON Scope Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Scope Methods toJSON :: Scope -> Value # toEncoding :: Scope -> Encoding # toJSONList :: [Scope] -> Value # toEncodingList :: [Scope] -> Encoding #
Generic Scope Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Scope Associated Types type Rep Scope :: Type -> Type # Methods from :: Scope -> Rep Scope x # to :: Rep Scope x -> Scope #
Read Scope Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Scope Methods readsPrec :: Int -> ReadS Scope # readList :: ReadS [Scope] # readPrec :: ReadPrec Scope # readListPrec :: ReadPrec [Scope] #
Show Scope Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Scope Methods showsPrec :: Int -> Scope -> ShowS # show :: Scope -> String # showList :: [Scope] -> ShowS #
NFData Scope Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Scope Methods rnf :: Scope -> () #
Eq Scope Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Scope Methods (==) :: Scope -> Scope -> Bool # (/=) :: Scope -> Scope -> Bool #
Hashable Scope Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Scope Methods hashWithSalt :: Int -> Scope -> Int # hash :: Scope -> Int #
type Rep Scope Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Scope type Rep Scope = D1 ('MetaData "Scope" "Amazonka.ComputeOptimizer.Types.Scope" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "Scope'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ScopeName)) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newScope :: Scope Source #

Create a value of Scope with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:name:Scope', scope_name - The name of the scope.

The following scopes are possible:

Organization - Specifies that the recommendation preference applies at the organization level, for all member accounts of an organization.
AccountId - Specifies that the recommendation preference applies at the account level, for all resources of a given resource type in an account.
ResourceArn - Specifies that the recommendation preference applies at the individual resource level.

$sel:value:Scope', scope_value - The value of the scope.

If you specified the name of the scope as:

Organization - The value must be ALL_ACCOUNTS.
AccountId - The value must be a 12-digit Amazon Web Services account ID.
ResourceArn - The value must be the Amazon Resource Name (ARN) of an EC2 instance or an Auto Scaling group.

Only EC2 instance and Auto Scaling group ARNs are currently supported.

scope_name :: Lens' Scope (Maybe ScopeName) Source #

The name of the scope.

The following scopes are possible:

Organization - Specifies that the recommendation preference applies at the organization level, for all member accounts of an organization.
AccountId - Specifies that the recommendation preference applies at the account level, for all resources of a given resource type in an account.
ResourceArn - Specifies that the recommendation preference applies at the individual resource level.

scope_value :: Lens' Scope (Maybe Text) Source #

The value of the scope.

If you specified the name of the scope as:

Organization - The value must be ALL_ACCOUNTS.
AccountId - The value must be a 12-digit Amazon Web Services account ID.
ResourceArn - The value must be the Amazon Resource Name (ARN) of an EC2 instance or an Auto Scaling group.

Only EC2 instance and Auto Scaling group ARNs are currently supported.

ServiceConfiguration

data ServiceConfiguration Source #

The Amazon ECS service configurations used for recommendations.

See: newServiceConfiguration smart constructor.

Constructors

ServiceConfiguration'

Fields

autoScalingConfiguration :: Maybe AutoScalingConfiguration
Describes the Auto Scaling configuration methods for an Amazon ECS service. This affects the generated recommendations. For example, if Auto Scaling is configured on a ECS service’s CPU, then Compute Optimizer doesn’t generate CPU size recommendations.
The Auto Scaling configuration methods include:
- TARGET_TRACKING_SCALING_CPU — If the ECS service is configured to use target scaling on CPU, Compute Optimizer doesn't generate CPU recommendations.
- TARGET_TRACKING_SCALING_MEMORY — If the ECS service is configured to use target scaling on memory, Compute Optimizer doesn't generate memory recommendations.
For more information about step scaling and target scaling, see Step scaling policies for Application Auto Scaling and Target tracking scaling policies for Application Auto Scaling in the Application Auto Scaling User Guide.
containerConfigurations :: Maybe [ContainerConfiguration]
The container configurations within a task of an ECS service.
cpu :: Maybe Int
The number of CPU units used by the tasks in the ECS service.
memory :: Maybe Int
The amount of memory used by the tasks in the ECS service.
taskDefinitionArn :: Maybe Text
The task definition ARN used by the tasks in the ECS service.

Instances

Instances details

FromJSON ServiceConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ServiceConfiguration Methods parseJSON :: Value -> Parser ServiceConfiguration # parseJSONList :: Value -> Parser [ServiceConfiguration] #
Generic ServiceConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ServiceConfiguration Associated Types type Rep ServiceConfiguration :: Type -> Type # Methods from :: ServiceConfiguration -> Rep ServiceConfiguration x # to :: Rep ServiceConfiguration x -> ServiceConfiguration #
Read ServiceConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ServiceConfiguration Methods readsPrec :: Int -> ReadS ServiceConfiguration # readList :: ReadS [ServiceConfiguration] # readPrec :: ReadPrec ServiceConfiguration # readListPrec :: ReadPrec [ServiceConfiguration] #
Show ServiceConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ServiceConfiguration Methods showsPrec :: Int -> ServiceConfiguration -> ShowS # show :: ServiceConfiguration -> String # showList :: [ServiceConfiguration] -> ShowS #
NFData ServiceConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ServiceConfiguration Methods rnf :: ServiceConfiguration -> () #
Eq ServiceConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ServiceConfiguration Methods (==) :: ServiceConfiguration -> ServiceConfiguration -> Bool # (/=) :: ServiceConfiguration -> ServiceConfiguration -> Bool #
Hashable ServiceConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ServiceConfiguration Methods hashWithSalt :: Int -> ServiceConfiguration -> Int # hash :: ServiceConfiguration -> Int #
type Rep ServiceConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.ServiceConfiguration type Rep ServiceConfiguration = D1 ('MetaData "ServiceConfiguration" "Amazonka.ComputeOptimizer.Types.ServiceConfiguration" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "ServiceConfiguration'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "autoScalingConfiguration") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoScalingConfiguration)) :: S1 ('MetaSel ('Just "containerConfigurations") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ContainerConfiguration]))) :: (S1 ('MetaSel ('Just "cpu") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :: (S1 ('MetaSel ('Just "memory") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :: S1 ('MetaSel ('Just "taskDefinitionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newServiceConfiguration :: ServiceConfiguration Source #

Create a value of ServiceConfiguration with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:autoScalingConfiguration:ServiceConfiguration', serviceConfiguration_autoScalingConfiguration - Describes the Auto Scaling configuration methods for an Amazon ECS service. This affects the generated recommendations. For example, if Auto Scaling is configured on a ECS service’s CPU, then Compute Optimizer doesn’t generate CPU size recommendations.

The Auto Scaling configuration methods include:

TARGET_TRACKING_SCALING_CPU — If the ECS service is configured to use target scaling on CPU, Compute Optimizer doesn't generate CPU recommendations.
TARGET_TRACKING_SCALING_MEMORY — If the ECS service is configured to use target scaling on memory, Compute Optimizer doesn't generate memory recommendations.

For more information about step scaling and target scaling, see Step scaling policies for Application Auto Scaling and Target tracking scaling policies for Application Auto Scaling in the Application Auto Scaling User Guide.

$sel:containerConfigurations:ServiceConfiguration', serviceConfiguration_containerConfigurations - The container configurations within a task of an ECS service.

ServiceConfiguration, serviceConfiguration_cpu - The number of CPU units used by the tasks in the ECS service.

$sel:memory:ServiceConfiguration', serviceConfiguration_memory - The amount of memory used by the tasks in the ECS service.

$sel:taskDefinitionArn:ServiceConfiguration', serviceConfiguration_taskDefinitionArn - The task definition ARN used by the tasks in the ECS service.

serviceConfiguration_autoScalingConfiguration :: Lens' ServiceConfiguration (Maybe AutoScalingConfiguration) Source #

Describes the Auto Scaling configuration methods for an Amazon ECS service. This affects the generated recommendations. For example, if Auto Scaling is configured on a ECS service’s CPU, then Compute Optimizer doesn’t generate CPU size recommendations.

The Auto Scaling configuration methods include:

TARGET_TRACKING_SCALING_CPU — If the ECS service is configured to use target scaling on CPU, Compute Optimizer doesn't generate CPU recommendations.
TARGET_TRACKING_SCALING_MEMORY — If the ECS service is configured to use target scaling on memory, Compute Optimizer doesn't generate memory recommendations.

For more information about step scaling and target scaling, see Step scaling policies for Application Auto Scaling and Target tracking scaling policies for Application Auto Scaling in the Application Auto Scaling User Guide.

serviceConfiguration_containerConfigurations :: Lens' ServiceConfiguration (Maybe [ContainerConfiguration]) Source #

The container configurations within a task of an ECS service.

serviceConfiguration_cpu :: Lens' ServiceConfiguration (Maybe Int) Source #

The number of CPU units used by the tasks in the ECS service.

serviceConfiguration_memory :: Lens' ServiceConfiguration (Maybe Int) Source #

The amount of memory used by the tasks in the ECS service.

serviceConfiguration_taskDefinitionArn :: Lens' ServiceConfiguration (Maybe Text) Source #

The task definition ARN used by the tasks in the ECS service.

Summary

data Summary Source #

The summary of a recommendation.

See: newSummary smart constructor.

Constructors

Summary'
Fields name :: Maybe Finding The finding classification of the recommendation. reasonCodeSummaries :: Maybe [ReasonCodeSummary] An array of objects that summarize a finding reason code. value :: Maybe Double The value of the recommendation summary.

Instances

Instances details

FromJSON Summary Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Summary Methods parseJSON :: Value -> Parser Summary # parseJSONList :: Value -> Parser [Summary] #
Generic Summary Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Summary Associated Types type Rep Summary :: Type -> Type # Methods from :: Summary -> Rep Summary x # to :: Rep Summary x -> Summary #
Read Summary Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Summary Methods readsPrec :: Int -> ReadS Summary # readList :: ReadS [Summary] # readPrec :: ReadPrec Summary # readListPrec :: ReadPrec [Summary] #
Show Summary Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Summary Methods showsPrec :: Int -> Summary -> ShowS # show :: Summary -> String # showList :: [Summary] -> ShowS #
NFData Summary Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Summary Methods rnf :: Summary -> () #
Eq Summary Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Summary Methods (==) :: Summary -> Summary -> Bool # (/=) :: Summary -> Summary -> Bool #
Hashable Summary Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Summary Methods hashWithSalt :: Int -> Summary -> Int # hash :: Summary -> Int #
type Rep Summary Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.Summary type Rep Summary = D1 ('MetaData "Summary" "Amazonka.ComputeOptimizer.Types.Summary" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "Summary'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Finding)) :: (S1 ('MetaSel ('Just "reasonCodeSummaries") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ReasonCodeSummary])) :: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))))

newSummary :: Summary Source #

Create a value of Summary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

Summary, summary_name - The finding classification of the recommendation.

$sel:reasonCodeSummaries:Summary', summary_reasonCodeSummaries - An array of objects that summarize a finding reason code.

Summary, summary_value - The value of the recommendation summary.

summary_name :: Lens' Summary (Maybe Finding) Source #

The finding classification of the recommendation.

summary_reasonCodeSummaries :: Lens' Summary (Maybe [ReasonCodeSummary]) Source #

An array of objects that summarize a finding reason code.

summary_value :: Lens' Summary (Maybe Double) Source #

The value of the recommendation summary.

UtilizationMetric

data UtilizationMetric Source #

Describes a utilization metric of a resource, such as an Amazon EC2 instance.

Compare the utilization metric data of your resource against its projected utilization metric data to determine the performance difference between your current resource and the recommended option.

See: newUtilizationMetric smart constructor.

Constructors

UtilizationMetric'

Fields

name :: Maybe MetricName
The name of the utilization metric.
The following utilization metrics are available:
- Cpu - The percentage of allocated EC2 compute units that are currently in use on the instance. This metric identifies the processing power required to run an application on the instance.
  Depending on the instance type, tools in your operating system can show a lower percentage than CloudWatch when the instance is not allocated a full processor core.
  Units: Percent
- Memory - The percentage of memory that is currently in use on the instance. This metric identifies the amount of memory required to run an application on the instance.
  Units: Percent
  The Memory metric is returned only for resources that have the unified CloudWatch agent installed on them. For more information, see Enabling Memory Utilization with the CloudWatch Agent.
- EBS_READ_OPS_PER_SECOND - The completed read operations from all EBS volumes attached to the instance in a specified period of time.
  Unit: Count
- EBS_WRITE_OPS_PER_SECOND - The completed write operations to all EBS volumes attached to the instance in a specified period of time.
  Unit: Count
- EBS_READ_BYTES_PER_SECOND - The bytes read from all EBS volumes attached to the instance in a specified period of time.
  Unit: Bytes
- EBS_WRITE_BYTES_PER_SECOND - The bytes written to all EBS volumes attached to the instance in a specified period of time.
  Unit: Bytes
- DISK_READ_OPS_PER_SECOND - The completed read operations from all instance store volumes available to the instance in a specified period of time.
  If there are no instance store volumes, either the value is 0 or the metric is not reported.
- DISK_WRITE_OPS_PER_SECOND - The completed write operations from all instance store volumes available to the instance in a specified period of time.
  If there are no instance store volumes, either the value is 0 or the metric is not reported.
- DISK_READ_BYTES_PER_SECOND - The bytes read from all instance store volumes available to the instance. This metric is used to determine the volume of the data the application reads from the disk of the instance. This can be used to determine the speed of the application.
  If there are no instance store volumes, either the value is 0 or the metric is not reported.
- DISK_WRITE_BYTES_PER_SECOND - The bytes written to all instance store volumes available to the instance. This metric is used to determine the volume of the data the application writes onto the disk of the instance. This can be used to determine the speed of the application.
  If there are no instance store volumes, either the value is 0 or the metric is not reported.
- NETWORK_IN_BYTES_PER_SECOND - The number of bytes received by the instance on all network interfaces. This metric identifies the volume of incoming network traffic to a single instance.
- NETWORK_OUT_BYTES_PER_SECOND - The number of bytes sent out by the instance on all network interfaces. This metric identifies the volume of outgoing network traffic from a single instance.
- NETWORK_PACKETS_IN_PER_SECOND - The number of packets received by the instance on all network interfaces. This metric identifies the volume of incoming traffic in terms of the number of packets on a single instance.
- NETWORK_PACKETS_OUT_PER_SECOND - The number of packets sent out by the instance on all network interfaces. This metric identifies the volume of outgoing traffic in terms of the number of packets on a single instance.
statistic :: Maybe MetricStatistic
The statistic of the utilization metric.
The Compute Optimizer API, Command Line Interface (CLI), and SDKs return utilization metrics using only the Maximum statistic, which is the highest value observed during the specified period.
The Compute Optimizer console displays graphs for some utilization metrics using the Average statistic, which is the value of Sum / SampleCount during the specified period. For more information, see Viewing resource recommendations in the Compute Optimizer User Guide. You can also get averaged utilization metric data for your resources using Amazon CloudWatch. For more information, see the Amazon CloudWatch User Guide.
value :: Maybe Double
The value of the utilization metric.

Instances

Instances details

FromJSON UtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.UtilizationMetric Methods parseJSON :: Value -> Parser UtilizationMetric # parseJSONList :: Value -> Parser [UtilizationMetric] #
Generic UtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.UtilizationMetric Associated Types type Rep UtilizationMetric :: Type -> Type # Methods from :: UtilizationMetric -> Rep UtilizationMetric x # to :: Rep UtilizationMetric x -> UtilizationMetric #
Read UtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.UtilizationMetric Methods readsPrec :: Int -> ReadS UtilizationMetric # readList :: ReadS [UtilizationMetric] # readPrec :: ReadPrec UtilizationMetric # readListPrec :: ReadPrec [UtilizationMetric] #
Show UtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.UtilizationMetric Methods showsPrec :: Int -> UtilizationMetric -> ShowS # show :: UtilizationMetric -> String # showList :: [UtilizationMetric] -> ShowS #
NFData UtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.UtilizationMetric Methods rnf :: UtilizationMetric -> () #
Eq UtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.UtilizationMetric Methods (==) :: UtilizationMetric -> UtilizationMetric -> Bool # (/=) :: UtilizationMetric -> UtilizationMetric -> Bool #
Hashable UtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.UtilizationMetric Methods hashWithSalt :: Int -> UtilizationMetric -> Int # hash :: UtilizationMetric -> Int #
type Rep UtilizationMetric Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.UtilizationMetric type Rep UtilizationMetric = D1 ('MetaData "UtilizationMetric" "Amazonka.ComputeOptimizer.Types.UtilizationMetric" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "UtilizationMetric'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MetricName)) :: (S1 ('MetaSel ('Just "statistic") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MetricStatistic)) :: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))))

newUtilizationMetric :: UtilizationMetric Source #

Create a value of UtilizationMetric with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:name:UtilizationMetric', utilizationMetric_name - The name of the utilization metric.

The following utilization metrics are available:

Cpu - The percentage of allocated EC2 compute units that are currently in use on the instance. This metric identifies the processing power required to run an application on the instance.
Depending on the instance type, tools in your operating system can show a lower percentage than CloudWatch when the instance is not allocated a full processor core.
Units: Percent
Memory - The percentage of memory that is currently in use on the instance. This metric identifies the amount of memory required to run an application on the instance.
Units: Percent
The Memory metric is returned only for resources that have the unified CloudWatch agent installed on them. For more information, see Enabling Memory Utilization with the CloudWatch Agent.
EBS_READ_OPS_PER_SECOND - The completed read operations from all EBS volumes attached to the instance in a specified period of time.
Unit: Count
EBS_WRITE_OPS_PER_SECOND - The completed write operations to all EBS volumes attached to the instance in a specified period of time.
Unit: Count
EBS_READ_BYTES_PER_SECOND - The bytes read from all EBS volumes attached to the instance in a specified period of time.
Unit: Bytes
EBS_WRITE_BYTES_PER_SECOND - The bytes written to all EBS volumes attached to the instance in a specified period of time.
Unit: Bytes
DISK_READ_OPS_PER_SECOND - The completed read operations from all instance store volumes available to the instance in a specified period of time.
If there are no instance store volumes, either the value is 0 or the metric is not reported.
DISK_WRITE_OPS_PER_SECOND - The completed write operations from all instance store volumes available to the instance in a specified period of time.
If there are no instance store volumes, either the value is 0 or the metric is not reported.
DISK_READ_BYTES_PER_SECOND - The bytes read from all instance store volumes available to the instance. This metric is used to determine the volume of the data the application reads from the disk of the instance. This can be used to determine the speed of the application.
If there are no instance store volumes, either the value is 0 or the metric is not reported.
DISK_WRITE_BYTES_PER_SECOND - The bytes written to all instance store volumes available to the instance. This metric is used to determine the volume of the data the application writes onto the disk of the instance. This can be used to determine the speed of the application.
If there are no instance store volumes, either the value is 0 or the metric is not reported.
NETWORK_IN_BYTES_PER_SECOND - The number of bytes received by the instance on all network interfaces. This metric identifies the volume of incoming network traffic to a single instance.
NETWORK_OUT_BYTES_PER_SECOND - The number of bytes sent out by the instance on all network interfaces. This metric identifies the volume of outgoing network traffic from a single instance.
NETWORK_PACKETS_IN_PER_SECOND - The number of packets received by the instance on all network interfaces. This metric identifies the volume of incoming traffic in terms of the number of packets on a single instance.
NETWORK_PACKETS_OUT_PER_SECOND - The number of packets sent out by the instance on all network interfaces. This metric identifies the volume of outgoing traffic in terms of the number of packets on a single instance.

$sel:statistic:UtilizationMetric', utilizationMetric_statistic - The statistic of the utilization metric.

The Compute Optimizer API, Command Line Interface (CLI), and SDKs return utilization metrics using only the Maximum statistic, which is the highest value observed during the specified period.

The Compute Optimizer console displays graphs for some utilization metrics using the Average statistic, which is the value of Sum / SampleCount during the specified period. For more information, see Viewing resource recommendations in the Compute Optimizer User Guide. You can also get averaged utilization metric data for your resources using Amazon CloudWatch. For more information, see the Amazon CloudWatch User Guide.

$sel:value:UtilizationMetric', utilizationMetric_value - The value of the utilization metric.

utilizationMetric_name :: Lens' UtilizationMetric (Maybe MetricName) Source #

The name of the utilization metric.

The following utilization metrics are available:

Cpu - The percentage of allocated EC2 compute units that are currently in use on the instance. This metric identifies the processing power required to run an application on the instance.
Depending on the instance type, tools in your operating system can show a lower percentage than CloudWatch when the instance is not allocated a full processor core.
Units: Percent
Memory - The percentage of memory that is currently in use on the instance. This metric identifies the amount of memory required to run an application on the instance.
Units: Percent
The Memory metric is returned only for resources that have the unified CloudWatch agent installed on them. For more information, see Enabling Memory Utilization with the CloudWatch Agent.
EBS_READ_OPS_PER_SECOND - The completed read operations from all EBS volumes attached to the instance in a specified period of time.
Unit: Count
EBS_WRITE_OPS_PER_SECOND - The completed write operations to all EBS volumes attached to the instance in a specified period of time.
Unit: Count
EBS_READ_BYTES_PER_SECOND - The bytes read from all EBS volumes attached to the instance in a specified period of time.
Unit: Bytes
EBS_WRITE_BYTES_PER_SECOND - The bytes written to all EBS volumes attached to the instance in a specified period of time.
Unit: Bytes
DISK_READ_OPS_PER_SECOND - The completed read operations from all instance store volumes available to the instance in a specified period of time.
If there are no instance store volumes, either the value is 0 or the metric is not reported.
DISK_WRITE_OPS_PER_SECOND - The completed write operations from all instance store volumes available to the instance in a specified period of time.
If there are no instance store volumes, either the value is 0 or the metric is not reported.
DISK_READ_BYTES_PER_SECOND - The bytes read from all instance store volumes available to the instance. This metric is used to determine the volume of the data the application reads from the disk of the instance. This can be used to determine the speed of the application.
If there are no instance store volumes, either the value is 0 or the metric is not reported.
DISK_WRITE_BYTES_PER_SECOND - The bytes written to all instance store volumes available to the instance. This metric is used to determine the volume of the data the application writes onto the disk of the instance. This can be used to determine the speed of the application.
If there are no instance store volumes, either the value is 0 or the metric is not reported.
NETWORK_IN_BYTES_PER_SECOND - The number of bytes received by the instance on all network interfaces. This metric identifies the volume of incoming network traffic to a single instance.
NETWORK_OUT_BYTES_PER_SECOND - The number of bytes sent out by the instance on all network interfaces. This metric identifies the volume of outgoing network traffic from a single instance.
NETWORK_PACKETS_IN_PER_SECOND - The number of packets received by the instance on all network interfaces. This metric identifies the volume of incoming traffic in terms of the number of packets on a single instance.
NETWORK_PACKETS_OUT_PER_SECOND - The number of packets sent out by the instance on all network interfaces. This metric identifies the volume of outgoing traffic in terms of the number of packets on a single instance.

utilizationMetric_statistic :: Lens' UtilizationMetric (Maybe MetricStatistic) Source #

The statistic of the utilization metric.

The Compute Optimizer API, Command Line Interface (CLI), and SDKs return utilization metrics using only the Maximum statistic, which is the highest value observed during the specified period.

The Compute Optimizer console displays graphs for some utilization metrics using the Average statistic, which is the value of Sum / SampleCount during the specified period. For more information, see Viewing resource recommendations in the Compute Optimizer User Guide. You can also get averaged utilization metric data for your resources using Amazon CloudWatch. For more information, see the Amazon CloudWatch User Guide.

utilizationMetric_value :: Lens' UtilizationMetric (Maybe Double) Source #

The value of the utilization metric.

VolumeConfiguration

data VolumeConfiguration Source #

Describes the configuration of an Amazon Elastic Block Store (Amazon EBS) volume.

See: newVolumeConfiguration smart constructor.

Constructors

VolumeConfiguration'

Fields

volumeBaselineIOPS :: Maybe Int
The baseline IOPS of the volume.
volumeBaselineThroughput :: Maybe Int
The baseline throughput of the volume.
volumeBurstIOPS :: Maybe Int
The burst IOPS of the volume.
volumeBurstThroughput :: Maybe Int
The burst throughput of the volume.
volumeSize :: Maybe Int
The size of the volume, in GiB.
volumeType :: Maybe Text
The volume type.
This can be gp2 for General Purpose SSD, io1 or io2 for Provisioned IOPS SSD, st1 for Throughput Optimized HDD, sc1 for Cold HDD, or standard for Magnetic volumes.

Instances

Instances details

FromJSON VolumeConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.VolumeConfiguration Methods parseJSON :: Value -> Parser VolumeConfiguration # parseJSONList :: Value -> Parser [VolumeConfiguration] #
Generic VolumeConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.VolumeConfiguration Associated Types type Rep VolumeConfiguration :: Type -> Type # Methods from :: VolumeConfiguration -> Rep VolumeConfiguration x # to :: Rep VolumeConfiguration x -> VolumeConfiguration #
Read VolumeConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.VolumeConfiguration Methods readsPrec :: Int -> ReadS VolumeConfiguration # readList :: ReadS [VolumeConfiguration] # readPrec :: ReadPrec VolumeConfiguration # readListPrec :: ReadPrec [VolumeConfiguration] #
Show VolumeConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.VolumeConfiguration Methods showsPrec :: Int -> VolumeConfiguration -> ShowS # show :: VolumeConfiguration -> String # showList :: [VolumeConfiguration] -> ShowS #
NFData VolumeConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.VolumeConfiguration Methods rnf :: VolumeConfiguration -> () #
Eq VolumeConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.VolumeConfiguration Methods (==) :: VolumeConfiguration -> VolumeConfiguration -> Bool # (/=) :: VolumeConfiguration -> VolumeConfiguration -> Bool #
Hashable VolumeConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.VolumeConfiguration Methods hashWithSalt :: Int -> VolumeConfiguration -> Int # hash :: VolumeConfiguration -> Int #
type Rep VolumeConfiguration Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.VolumeConfiguration type Rep VolumeConfiguration = D1 ('MetaData "VolumeConfiguration" "Amazonka.ComputeOptimizer.Types.VolumeConfiguration" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "VolumeConfiguration'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "volumeBaselineIOPS") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :: (S1 ('MetaSel ('Just "volumeBaselineThroughput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :: S1 ('MetaSel ('Just "volumeBurstIOPS") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)))) :: (S1 ('MetaSel ('Just "volumeBurstThroughput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :: (S1 ('MetaSel ('Just "volumeSize") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :*: S1 ('MetaSel ('Just "volumeType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newVolumeConfiguration :: VolumeConfiguration Source #

Create a value of VolumeConfiguration with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:volumeBaselineIOPS:VolumeConfiguration', volumeConfiguration_volumeBaselineIOPS - The baseline IOPS of the volume.

$sel:volumeBaselineThroughput:VolumeConfiguration', volumeConfiguration_volumeBaselineThroughput - The baseline throughput of the volume.

$sel:volumeBurstIOPS:VolumeConfiguration', volumeConfiguration_volumeBurstIOPS - The burst IOPS of the volume.

$sel:volumeBurstThroughput:VolumeConfiguration', volumeConfiguration_volumeBurstThroughput - The burst throughput of the volume.

$sel:volumeSize:VolumeConfiguration', volumeConfiguration_volumeSize - The size of the volume, in GiB.

$sel:volumeType:VolumeConfiguration', volumeConfiguration_volumeType - The volume type.

This can be gp2 for General Purpose SSD, io1 or io2 for Provisioned IOPS SSD, st1 for Throughput Optimized HDD, sc1 for Cold HDD, or standard for Magnetic volumes.

volumeConfiguration_volumeBaselineIOPS :: Lens' VolumeConfiguration (Maybe Int) Source #

The baseline IOPS of the volume.

volumeConfiguration_volumeBaselineThroughput :: Lens' VolumeConfiguration (Maybe Int) Source #

The baseline throughput of the volume.

volumeConfiguration_volumeBurstIOPS :: Lens' VolumeConfiguration (Maybe Int) Source #

The burst IOPS of the volume.

volumeConfiguration_volumeBurstThroughput :: Lens' VolumeConfiguration (Maybe Int) Source #

The burst throughput of the volume.

volumeConfiguration_volumeSize :: Lens' VolumeConfiguration (Maybe Int) Source #

The size of the volume, in GiB.

volumeConfiguration_volumeType :: Lens' VolumeConfiguration (Maybe Text) Source #

The volume type.

This can be gp2 for General Purpose SSD, io1 or io2 for Provisioned IOPS SSD, st1 for Throughput Optimized HDD, sc1 for Cold HDD, or standard for Magnetic volumes.

VolumeRecommendation

data VolumeRecommendation Source #

Describes an Amazon Elastic Block Store (Amazon EBS) volume recommendation.

See: newVolumeRecommendation smart constructor.

Constructors

VolumeRecommendation'

Fields

accountId :: Maybe Text
The Amazon Web Services account ID of the volume.
currentConfiguration :: Maybe VolumeConfiguration
An array of objects that describe the current configuration of the volume.
currentPerformanceRisk :: Maybe CurrentPerformanceRisk
The risk of the current EBS volume not meeting the performance needs of its workloads. The higher the risk, the more likely the current EBS volume doesn't have sufficient capacity.
finding :: Maybe EBSFinding
The finding classification of the volume.
Findings for volumes include:
- NotOptimized —A volume is considered not optimized when Compute Optimizer identifies a recommendation that can provide better performance for your workload.
- Optimized —An volume is considered optimized when Compute Optimizer determines that the volume is correctly provisioned to run your workload based on the chosen volume type. For optimized resources, Compute Optimizer might recommend a new generation volume type.
lastRefreshTimestamp :: Maybe POSIX
The timestamp of when the volume recommendation was last generated.
lookBackPeriodInDays :: Maybe Double
The number of days for which utilization metrics were analyzed for the volume.
utilizationMetrics :: Maybe [EBSUtilizationMetric]
An array of objects that describe the utilization metrics of the volume.
volumeArn :: Maybe Text
The Amazon Resource Name (ARN) of the current volume.
volumeRecommendationOptions :: Maybe [VolumeRecommendationOption]
An array of objects that describe the recommendation options for the volume.

Instances

Instances details

FromJSON VolumeRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.VolumeRecommendation Methods parseJSON :: Value -> Parser VolumeRecommendation # parseJSONList :: Value -> Parser [VolumeRecommendation] #
Generic VolumeRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.VolumeRecommendation Associated Types type Rep VolumeRecommendation :: Type -> Type # Methods from :: VolumeRecommendation -> Rep VolumeRecommendation x # to :: Rep VolumeRecommendation x -> VolumeRecommendation #
Read VolumeRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.VolumeRecommendation Methods readsPrec :: Int -> ReadS VolumeRecommendation # readList :: ReadS [VolumeRecommendation] # readPrec :: ReadPrec VolumeRecommendation # readListPrec :: ReadPrec [VolumeRecommendation] #
Show VolumeRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.VolumeRecommendation Methods showsPrec :: Int -> VolumeRecommendation -> ShowS # show :: VolumeRecommendation -> String # showList :: [VolumeRecommendation] -> ShowS #
NFData VolumeRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.VolumeRecommendation Methods rnf :: VolumeRecommendation -> () #
Eq VolumeRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.VolumeRecommendation Methods (==) :: VolumeRecommendation -> VolumeRecommendation -> Bool # (/=) :: VolumeRecommendation -> VolumeRecommendation -> Bool #
Hashable VolumeRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.VolumeRecommendation Methods hashWithSalt :: Int -> VolumeRecommendation -> Int # hash :: VolumeRecommendation -> Int #
type Rep VolumeRecommendation Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.VolumeRecommendation type Rep VolumeRecommendation = D1 ('MetaData "VolumeRecommendation" "Amazonka.ComputeOptimizer.Types.VolumeRecommendation" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "VolumeRecommendation'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "accountId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "currentConfiguration") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VolumeConfiguration))) :: (S1 ('MetaSel ('Just "currentPerformanceRisk") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CurrentPerformanceRisk)) :: S1 ('MetaSel ('Just "finding") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EBSFinding)))) :: ((S1 ('MetaSel ('Just "lastRefreshTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "lookBackPeriodInDays") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))) :: (S1 ('MetaSel ('Just "utilizationMetrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [EBSUtilizationMetric])) :: (S1 ('MetaSel ('Just "volumeArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "volumeRecommendationOptions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [VolumeRecommendationOption])))))))

newVolumeRecommendation :: VolumeRecommendation Source #

Create a value of VolumeRecommendation with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:accountId:VolumeRecommendation', volumeRecommendation_accountId - The Amazon Web Services account ID of the volume.

$sel:currentConfiguration:VolumeRecommendation', volumeRecommendation_currentConfiguration - An array of objects that describe the current configuration of the volume.

$sel:currentPerformanceRisk:VolumeRecommendation', volumeRecommendation_currentPerformanceRisk - The risk of the current EBS volume not meeting the performance needs of its workloads. The higher the risk, the more likely the current EBS volume doesn't have sufficient capacity.

$sel:finding:VolumeRecommendation', volumeRecommendation_finding - The finding classification of the volume.

Findings for volumes include:

NotOptimized —A volume is considered not optimized when Compute Optimizer identifies a recommendation that can provide better performance for your workload.
Optimized —An volume is considered optimized when Compute Optimizer determines that the volume is correctly provisioned to run your workload based on the chosen volume type. For optimized resources, Compute Optimizer might recommend a new generation volume type.

$sel:lastRefreshTimestamp:VolumeRecommendation', volumeRecommendation_lastRefreshTimestamp - The timestamp of when the volume recommendation was last generated.

$sel:lookBackPeriodInDays:VolumeRecommendation', volumeRecommendation_lookBackPeriodInDays - The number of days for which utilization metrics were analyzed for the volume.

$sel:utilizationMetrics:VolumeRecommendation', volumeRecommendation_utilizationMetrics - An array of objects that describe the utilization metrics of the volume.

$sel:volumeArn:VolumeRecommendation', volumeRecommendation_volumeArn - The Amazon Resource Name (ARN) of the current volume.

$sel:volumeRecommendationOptions:VolumeRecommendation', volumeRecommendation_volumeRecommendationOptions - An array of objects that describe the recommendation options for the volume.

volumeRecommendation_accountId :: Lens' VolumeRecommendation (Maybe Text) Source #

The Amazon Web Services account ID of the volume.

volumeRecommendation_currentConfiguration :: Lens' VolumeRecommendation (Maybe VolumeConfiguration) Source #

An array of objects that describe the current configuration of the volume.

volumeRecommendation_currentPerformanceRisk :: Lens' VolumeRecommendation (Maybe CurrentPerformanceRisk) Source #

The risk of the current EBS volume not meeting the performance needs of its workloads. The higher the risk, the more likely the current EBS volume doesn't have sufficient capacity.

volumeRecommendation_finding :: Lens' VolumeRecommendation (Maybe EBSFinding) Source #

The finding classification of the volume.

Findings for volumes include:

NotOptimized —A volume is considered not optimized when Compute Optimizer identifies a recommendation that can provide better performance for your workload.
Optimized —An volume is considered optimized when Compute Optimizer determines that the volume is correctly provisioned to run your workload based on the chosen volume type. For optimized resources, Compute Optimizer might recommend a new generation volume type.

volumeRecommendation_lastRefreshTimestamp :: Lens' VolumeRecommendation (Maybe UTCTime) Source #

The timestamp of when the volume recommendation was last generated.

volumeRecommendation_lookBackPeriodInDays :: Lens' VolumeRecommendation (Maybe Double) Source #

The number of days for which utilization metrics were analyzed for the volume.

volumeRecommendation_utilizationMetrics :: Lens' VolumeRecommendation (Maybe [EBSUtilizationMetric]) Source #

An array of objects that describe the utilization metrics of the volume.

volumeRecommendation_volumeArn :: Lens' VolumeRecommendation (Maybe Text) Source #

The Amazon Resource Name (ARN) of the current volume.

volumeRecommendation_volumeRecommendationOptions :: Lens' VolumeRecommendation (Maybe [VolumeRecommendationOption]) Source #

An array of objects that describe the recommendation options for the volume.

VolumeRecommendationOption

data VolumeRecommendationOption Source #

Describes a recommendation option for an Amazon Elastic Block Store (Amazon EBS) instance.

See: newVolumeRecommendationOption smart constructor.

Constructors

VolumeRecommendationOption'

Fields

configuration :: Maybe VolumeConfiguration
An array of objects that describe a volume configuration.
performanceRisk :: Maybe Double
The performance risk of the volume recommendation option.
Performance risk is the likelihood of the recommended volume type meeting the performance requirement of your workload.
The value ranges from 0 - 4, with 0 meaning that the recommended resource is predicted to always provide enough hardware capability. The higher the performance risk is, the more likely you should validate whether the recommendation will meet the performance requirements of your workload before migrating your resource.
rank :: Maybe Int
The rank of the volume recommendation option.
The top recommendation option is ranked as 1.
savingsOpportunity :: Maybe SavingsOpportunity
An object that describes the savings opportunity for the EBS volume recommendation option. Savings opportunity includes the estimated monthly savings amount and percentage.

Instances

Instances details

FromJSON VolumeRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.VolumeRecommendationOption Methods parseJSON :: Value -> Parser VolumeRecommendationOption # parseJSONList :: Value -> Parser [VolumeRecommendationOption] #
Generic VolumeRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.VolumeRecommendationOption Associated Types type Rep VolumeRecommendationOption :: Type -> Type # Methods from :: VolumeRecommendationOption -> Rep VolumeRecommendationOption x # to :: Rep VolumeRecommendationOption x -> VolumeRecommendationOption #
Read VolumeRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.VolumeRecommendationOption Methods readsPrec :: Int -> ReadS VolumeRecommendationOption # readList :: ReadS [VolumeRecommendationOption] # readPrec :: ReadPrec VolumeRecommendationOption # readListPrec :: ReadPrec [VolumeRecommendationOption] #
Show VolumeRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.VolumeRecommendationOption Methods showsPrec :: Int -> VolumeRecommendationOption -> ShowS # show :: VolumeRecommendationOption -> String # showList :: [VolumeRecommendationOption] -> ShowS #
NFData VolumeRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.VolumeRecommendationOption Methods rnf :: VolumeRecommendationOption -> () #
Eq VolumeRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.VolumeRecommendationOption Methods (==) :: VolumeRecommendationOption -> VolumeRecommendationOption -> Bool # (/=) :: VolumeRecommendationOption -> VolumeRecommendationOption -> Bool #
Hashable VolumeRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.VolumeRecommendationOption Methods hashWithSalt :: Int -> VolumeRecommendationOption -> Int # hash :: VolumeRecommendationOption -> Int #
type Rep VolumeRecommendationOption Source #
Instance details Defined in Amazonka.ComputeOptimizer.Types.VolumeRecommendationOption type Rep VolumeRecommendationOption = D1 ('MetaData "VolumeRecommendationOption" "Amazonka.ComputeOptimizer.Types.VolumeRecommendationOption" "amazonka-compute-optimizer-2.0-5JAMFRZoNrnJ0UCJqIgHbk" 'False) (C1 ('MetaCons "VolumeRecommendationOption'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "configuration") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VolumeConfiguration)) :: S1 ('MetaSel ('Just "performanceRisk") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))) :: (S1 ('MetaSel ('Just "rank") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :*: S1 ('MetaSel ('Just "savingsOpportunity") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe SavingsOpportunity)))))

newVolumeRecommendationOption :: VolumeRecommendationOption Source #

Create a value of VolumeRecommendationOption with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:configuration:VolumeRecommendationOption', volumeRecommendationOption_configuration - An array of objects that describe a volume configuration.

$sel:performanceRisk:VolumeRecommendationOption', volumeRecommendationOption_performanceRisk - The performance risk of the volume recommendation option.

Performance risk is the likelihood of the recommended volume type meeting the performance requirement of your workload.

The value ranges from 0 - 4, with 0 meaning that the recommended resource is predicted to always provide enough hardware capability. The higher the performance risk is, the more likely you should validate whether the recommendation will meet the performance requirements of your workload before migrating your resource.

$sel:rank:VolumeRecommendationOption', volumeRecommendationOption_rank - The rank of the volume recommendation option.

The top recommendation option is ranked as 1.

$sel:savingsOpportunity:VolumeRecommendationOption', volumeRecommendationOption_savingsOpportunity - An object that describes the savings opportunity for the EBS volume recommendation option. Savings opportunity includes the estimated monthly savings amount and percentage.

volumeRecommendationOption_configuration :: Lens' VolumeRecommendationOption (Maybe VolumeConfiguration) Source #

An array of objects that describe a volume configuration.

volumeRecommendationOption_performanceRisk :: Lens' VolumeRecommendationOption (Maybe Double) Source #

The performance risk of the volume recommendation option.

Performance risk is the likelihood of the recommended volume type meeting the performance requirement of your workload.

The value ranges from 0 - 4, with 0 meaning that the recommended resource is predicted to always provide enough hardware capability. The higher the performance risk is, the more likely you should validate whether the recommendation will meet the performance requirements of your workload before migrating your resource.

volumeRecommendationOption_rank :: Lens' VolumeRecommendationOption (Maybe Int) Source #

The rank of the volume recommendation option.

The top recommendation option is ranked as 1.

volumeRecommendationOption_savingsOpportunity :: Lens' VolumeRecommendationOption (Maybe SavingsOpportunity) Source #

An object that describes the savings opportunity for the EBS volume recommendation option. Savings opportunity includes the estimated monthly savings amount and percentage.