amazonka-compute-optimizer-2.0: Amazon Compute Optimizer SDK.
Copyright(c) 2013-2023 Brendan Hay
LicenseMozilla Public License, v. 2.0.
MaintainerBrendan Hay
Stabilityauto-generated
Portabilitynon-portable (GHC extensions)
Safe HaskellSafe-Inferred
LanguageHaskell2010

Amazonka.ComputeOptimizer.Types.AutoScalingGroupRecommendationOption

Description

 
Synopsis

Documentation

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 # 
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Defined in Amazonka.ComputeOptimizer.Types.AutoScalingGroupRecommendationOption

Generic AutoScalingGroupRecommendationOption Source # 
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Defined in Amazonka.ComputeOptimizer.Types.AutoScalingGroupRecommendationOption

Read AutoScalingGroupRecommendationOption Source # 
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Defined in Amazonka.ComputeOptimizer.Types.AutoScalingGroupRecommendationOption

Show AutoScalingGroupRecommendationOption Source # 
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Defined in Amazonka.ComputeOptimizer.Types.AutoScalingGroupRecommendationOption

NFData AutoScalingGroupRecommendationOption Source # 
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Defined in Amazonka.ComputeOptimizer.Types.AutoScalingGroupRecommendationOption

Eq AutoScalingGroupRecommendationOption Source # 
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Defined in Amazonka.ComputeOptimizer.Types.AutoScalingGroupRecommendationOption

Hashable AutoScalingGroupRecommendationOption Source # 
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Defined in Amazonka.ComputeOptimizer.Types.AutoScalingGroupRecommendationOption

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_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.