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Class: Aws::ApplicationAutoScaling::Types::PutScalingPolicyRequest

Inherits:
Struct
  • Object
show all
Defined in:
(unknown)

Overview

Note:

When passing PutScalingPolicyRequest as input to an Aws::Client method, you can use a vanilla Hash:

{
  policy_name: "PolicyName", # required
  service_namespace: "ecs", # required, accepts ecs, elasticmapreduce, ec2, appstream, dynamodb, rds, sagemaker, custom-resource, comprehend, lambda, cassandra, kafka
  resource_id: "ResourceIdMaxLen1600", # required
  scalable_dimension: "ecs:service:DesiredCount", # required, accepts ecs:service:DesiredCount, ec2:spot-fleet-request:TargetCapacity, elasticmapreduce:instancegroup:InstanceCount, appstream:fleet:DesiredCapacity, dynamodb:table:ReadCapacityUnits, dynamodb:table:WriteCapacityUnits, dynamodb:index:ReadCapacityUnits, dynamodb:index:WriteCapacityUnits, rds:cluster:ReadReplicaCount, sagemaker:variant:DesiredInstanceCount, custom-resource:ResourceType:Property, comprehend:document-classifier-endpoint:DesiredInferenceUnits, comprehend:entity-recognizer-endpoint:DesiredInferenceUnits, lambda:function:ProvisionedConcurrency, cassandra:table:ReadCapacityUnits, cassandra:table:WriteCapacityUnits, kafka:broker-storage:VolumeSize
  policy_type: "StepScaling", # accepts StepScaling, TargetTrackingScaling
  step_scaling_policy_configuration: {
    adjustment_type: "ChangeInCapacity", # accepts ChangeInCapacity, PercentChangeInCapacity, ExactCapacity
    step_adjustments: [
      {
        metric_interval_lower_bound: 1.0,
        metric_interval_upper_bound: 1.0,
        scaling_adjustment: 1, # required
      },
    ],
    min_adjustment_magnitude: 1,
    cooldown: 1,
    metric_aggregation_type: "Average", # accepts Average, Minimum, Maximum
  },
  target_tracking_scaling_policy_configuration: {
    target_value: 1.0, # required
    predefined_metric_specification: {
      predefined_metric_type: "DynamoDBReadCapacityUtilization", # required, accepts DynamoDBReadCapacityUtilization, DynamoDBWriteCapacityUtilization, ALBRequestCountPerTarget, RDSReaderAverageCPUUtilization, RDSReaderAverageDatabaseConnections, EC2SpotFleetRequestAverageCPUUtilization, EC2SpotFleetRequestAverageNetworkIn, EC2SpotFleetRequestAverageNetworkOut, SageMakerVariantInvocationsPerInstance, ECSServiceAverageCPUUtilization, ECSServiceAverageMemoryUtilization, AppStreamAverageCapacityUtilization, ComprehendInferenceUtilization, LambdaProvisionedConcurrencyUtilization, CassandraReadCapacityUtilization, CassandraWriteCapacityUtilization, KafkaBrokerStorageUtilization
      resource_label: "ResourceLabel",
    },
    customized_metric_specification: {
      metric_name: "MetricName", # required
      namespace: "MetricNamespace", # required
      dimensions: [
        {
          name: "MetricDimensionName", # required
          value: "MetricDimensionValue", # required
        },
      ],
      statistic: "Average", # required, accepts Average, Minimum, Maximum, SampleCount, Sum
      unit: "MetricUnit",
    },
    scale_out_cooldown: 1,
    scale_in_cooldown: 1,
    disable_scale_in: false,
  },
}

Instance Attribute Summary collapse

Instance Attribute Details

#policy_nameString

The name of the scaling policy.

Returns:

  • (String)

    The name of the scaling policy.

#policy_typeString

The policy type. This parameter is required if you are creating a scaling policy.

The following policy types are supported:

TargetTrackingScaling—Not supported for Amazon EMR

StepScaling—Not supported for DynamoDB, Amazon Comprehend, Lambda, Amazon Keyspaces (for Apache Cassandra), or Amazon MSK.

For more information, see Target Tracking Scaling Policies and Step Scaling Policies in the Application Auto Scaling User Guide.

Returns:

  • (String)

    The policy type.

#resource_idString

The identifier of the resource associated with the scaling policy. This string consists of the resource type and unique identifier.

  • ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp.

  • Spot Fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE.

  • EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0.

  • AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet.

  • DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table.

  • DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index.

  • Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster.

  • Amazon SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering.

  • Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository.

  • Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE.

  • Amazon Comprehend entity recognizer endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE.

  • Lambda provisioned concurrency - The resource type is function and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST. Example: function:my-function:prod or function:my-function:1.

  • Amazon Keyspaces table - The resource type is table and the unique identifier is the table name. Example: keyspace/mykeyspace/table/mytable.

  • Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. Example: arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5.

Returns:

  • (String)

    The identifier of the resource associated with the scaling policy.

#scalable_dimensionString

The scalable dimension. This string consists of the service namespace, resource type, and scaling property.

  • ecs:service:DesiredCount - The desired task count of an ECS service.

  • ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet request.

  • elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group.

  • appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet.

  • dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table.

  • dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table.

  • dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index.

  • dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index.

  • rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.

  • sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for an Amazon SageMaker model endpoint variant.

  • custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service.

  • comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint.

  • comprehend:entity-recognizer-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend entity recognizer endpoint.

  • lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function.

  • cassandra:table:ReadCapacityUnits - The provisioned read capacity for an Amazon Keyspaces table.

  • cassandra:table:WriteCapacityUnits - The provisioned write capacity for an Amazon Keyspaces table.

  • kafka:broker-storage:VolumeSize - The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster.

    Possible values:

    • ecs:service:DesiredCount
    • ec2:spot-fleet-request:TargetCapacity
    • elasticmapreduce:instancegroup:InstanceCount
    • appstream:fleet:DesiredCapacity
    • dynamodb:table:ReadCapacityUnits
    • dynamodb:table:WriteCapacityUnits
    • dynamodb:index:ReadCapacityUnits
    • dynamodb:index:WriteCapacityUnits
    • rds:cluster:ReadReplicaCount
    • sagemaker:variant:DesiredInstanceCount
    • custom-resource:ResourceType:Property
    • comprehend:document-classifier-endpoint:DesiredInferenceUnits
    • comprehend:entity-recognizer-endpoint:DesiredInferenceUnits
    • lambda:function:ProvisionedConcurrency
    • cassandra:table:ReadCapacityUnits
    • cassandra:table:WriteCapacityUnits
    • kafka:broker-storage:VolumeSize

Returns:

  • (String)

    The scalable dimension.

#service_namespaceString

The namespace of the AWS service that provides the resource. For a resource provided by your own application or service, use custom-resource instead.

Possible values:

  • ecs
  • elasticmapreduce
  • ec2
  • appstream
  • dynamodb
  • rds
  • sagemaker
  • custom-resource
  • comprehend
  • lambda
  • cassandra
  • kafka

Returns:

  • (String)

    The namespace of the AWS service that provides the resource.

#step_scaling_policy_configurationTypes::StepScalingPolicyConfiguration

A step scaling policy.

This parameter is required if you are creating a policy and the policy type is StepScaling.

Returns:

#target_tracking_scaling_policy_configurationTypes::TargetTrackingScalingPolicyConfiguration

A target tracking scaling policy. Includes support for predefined or customized metrics.

This parameter is required if you are creating a policy and the policy type is TargetTrackingScaling.

Returns: