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[ aws . application-autoscaling ]

put-scaling-policy

Description

Creates or updates a policy for an Application Auto Scaling scalable target.

Each scalable target is identified by a service namespace, resource ID, and scalable dimension. A scaling policy applies to the scalable target identified by those three attributes. You cannot create a scaling policy until you have registered the resource as a scalable target using RegisterScalableTarget .

To update a policy, specify its policy name and the parameters that you want to change. Any parameters that you don't specify are not changed by this update request.

You can view the scaling policies for a service namespace using DescribeScalingPolicies . If you are no longer using a scaling policy, you can delete it using DeleteScalingPolicy .

Multiple scaling policies can be in force at the same time for the same scalable target. You can have one or more target tracking scaling policies, one or more step scaling policies, or both. However, there is a chance that multiple policies could conflict, instructing the scalable target to scale out or in at the same time. Application Auto Scaling gives precedence to the policy that provides the largest capacity for both scale in and scale out. For example, if one policy increases capacity by 3, another policy increases capacity by 200 percent, and the current capacity is 10, Application Auto Scaling uses the policy with the highest calculated capacity (200% of 10 = 20) and scales out to 30.

Learn more about how to work with scaling policies in the Application Auto Scaling User Guide .

See also: AWS API Documentation

See 'aws help' for descriptions of global parameters.

Synopsis

  put-scaling-policy
--policy-name <value>
--service-namespace <value>
--resource-id <value>
--scalable-dimension <value>
[--policy-type <value>]
[--step-scaling-policy-configuration <value>]
[--target-tracking-scaling-policy-configuration <value>]
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]

Options

--policy-name (string)

The name of the scaling policy.

--service-namespace (string)

The namespace of the AWS service that provides the resource or custom-resource for a resource provided by your own application or service. For more information, see AWS Service Namespaces in the Amazon Web Services General Reference .

Possible values:

  • ecs
  • elasticmapreduce
  • ec2
  • appstream
  • dynamodb
  • rds
  • sagemaker
  • custom-resource

--resource-id (string)

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

--scalable-dimension (string)

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.

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

--policy-type (string)

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

For information on which services do not support StepScaling or TargetTrackingScaling , see the information about Limits in Step Scaling Policies and Target Tracking Scaling Policies in the Application Auto Scaling User Guide .

Possible values:

  • StepScaling
  • TargetTrackingScaling

--step-scaling-policy-configuration (structure)

A step scaling policy.

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

Shorthand Syntax:

AdjustmentType=string,StepAdjustments=[{MetricIntervalLowerBound=double,MetricIntervalUpperBound=double,ScalingAdjustment=integer},{MetricIntervalLowerBound=double,MetricIntervalUpperBound=double,ScalingAdjustment=integer}],MinAdjustmentMagnitude=integer,Cooldown=integer,MetricAggregationType=string

JSON Syntax:

{
  "AdjustmentType": "ChangeInCapacity"|"PercentChangeInCapacity"|"ExactCapacity",
  "StepAdjustments": [
    {
      "MetricIntervalLowerBound": double,
      "MetricIntervalUpperBound": double,
      "ScalingAdjustment": integer
    }
    ...
  ],
  "MinAdjustmentMagnitude": integer,
  "Cooldown": integer,
  "MetricAggregationType": "Average"|"Minimum"|"Maximum"
}

--target-tracking-scaling-policy-configuration (structure)

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 .

JSON Syntax:

{
  "TargetValue": double,
  "PredefinedMetricSpecification": {
    "PredefinedMetricType": "DynamoDBReadCapacityUtilization"|"DynamoDBWriteCapacityUtilization"|"ALBRequestCountPerTarget"|"RDSReaderAverageCPUUtilization"|"RDSReaderAverageDatabaseConnections"|"EC2SpotFleetRequestAverageCPUUtilization"|"EC2SpotFleetRequestAverageNetworkIn"|"EC2SpotFleetRequestAverageNetworkOut"|"SageMakerVariantInvocationsPerInstance"|"ECSServiceAverageCPUUtilization"|"ECSServiceAverageMemoryUtilization",
    "ResourceLabel": "string"
  },
  "CustomizedMetricSpecification": {
    "MetricName": "string",
    "Namespace": "string",
    "Dimensions": [
      {
        "Name": "string",
        "Value": "string"
      }
      ...
    ],
    "Statistic": "Average"|"Minimum"|"Maximum"|"SampleCount"|"Sum",
    "Unit": "string"
  },
  "ScaleOutCooldown": integer,
  "ScaleInCooldown": integer,
  "DisableScaleIn": true|false
}

--cli-input-json (string) Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, the CLI values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

See 'aws help' for descriptions of global parameters.

Examples

Example 1: To apply a target tracking scaling policy with a predefined metric specification

The following put-scaling-policy example applies a target tracking scaling policy with a predefined metric specification to an Amazon ECS service called web-app in the default cluster. The policy keeps the average CPU utilization of the service at 75 percent, with scale-out and scale-in cooldown periods of 60 seconds. The output contains the ARNs and names of the two CloudWatch alarms created on your behalf.

Command:

aws application-autoscaling put-scaling-policy --service-namespace ecs \
--scalable-dimension ecs:service:DesiredCount \
--resource-id service/default/web-app \
--policy-name cpu75-target-tracking-scaling-policy --policy-type TargetTrackingScaling \
--target-tracking-scaling-policy-configuration file://config.json

This example assumes that you have a config.json file in the current directory with the following contents:

{
     "TargetValue": 75.0,
     "PredefinedMetricSpecification": {
         "PredefinedMetricType": "ECSServiceAverageCPUUtilization"
     },
     "ScaleOutCooldown": 60,
    "ScaleInCooldown": 60
}

The command returns the following output:

{
    "PolicyARN": "arn:aws:autoscaling:us-west-2:012345678910:scalingPolicy:6d8972f3-efc8-437c-92d1-6270f29a66e7:resource/ecs/service/default/web-app:policyName/cpu75-target-tracking-scaling-policy",
    "Alarms": [
        {
            "AlarmARN": "arn:aws:cloudwatch:us-west-2:012345678910:alarm:TargetTracking-service/default/web-app-AlarmHigh-d4f0770c-b46e-434a-a60f-3b36d653feca",
            "AlarmName": "TargetTracking-service/default/web-app-AlarmHigh-d4f0770c-b46e-434a-a60f-3b36d653feca"
        },
        {
            "AlarmARN": "arn:aws:cloudwatch:us-west-2:012345678910:alarm:TargetTracking-service/default/web-app-AlarmLow-1b437334-d19b-4a63-a812-6c67aaf2910d",
            "AlarmName": "TargetTracking-service/default/web-app-AlarmLow-1b437334-d19b-4a63-a812-6c67aaf2910d"
        }
    ]
}

For more information, see Target Tracking Scaling Policies for Application Auto Scaling in the AWS Application Auto Scaling User Guide

Example 2: To apply a target tracking scaling policy with a customized metric specification

The following put-scaling-policy example applies a target tracking scaling policy with a customized metric specification to an Amazon ECS service called web-app in the default cluster. The policy keeps the average utilization of the service at 75 percent, with scale-out and scale-in cooldown periods of 60 seconds. The output contains the ARNs and names of the two CloudWatch alarms created on your behalf.

Command:

aws application-autoscaling put-scaling-policy --service-namespace ecs \
--scalable-dimension ecs:service:DesiredCount \
--resource-id service/default/web-app \
--policy-name cms75-target-tracking-scaling-policy
--policy-type TargetTrackingScaling \
--target-tracking-scaling-policy-configuration file://config.json

This example assumes that you have a config.json file in the current directory with the following contents:

{
    "TargetValue":75.0,
    "CustomizedMetricSpecification":{
        "MetricName":"MyUtilizationMetric",
        "Namespace":"MyNamespace",
        "Dimensions": [
            {
                "Name":"MyOptionalMetricDimensionName",
                "Value":"MyOptionalMetricDimensionValue"
            }
        ],
        "Statistic":"Average",
        "Unit":"Percent"
    },
    "ScaleOutCooldown": 60,
    "ScaleInCooldown": 60
}

The command returns the following output:

{
    "PolicyARN": "arn:aws:autoscaling:us-west-2:012345678910:scalingPolicy: 8784a896-b2ba-47a1-b08c-27301cc499a1:resource/ecs/service/default/web-app:policyName/cms75-target-tracking-scaling-policy",
    "Alarms": [
        {
            "AlarmARN": "arn:aws:cloudwatch:us-west-2:012345678910:alarm:TargetTracking-service/default/web-app-AlarmHigh-9bc77b56-0571-4276-ba0f-d4178882e0a0",
            "AlarmName": "TargetTracking-service/default/web-app-AlarmHigh-9bc77b56-0571-4276-ba0f-d4178882e0a0"
        },
        {
            "AlarmARN": "arn:aws:cloudwatch:us-west-2:012345678910:alarm:TargetTracking-service/default/web-app-AlarmLow-9b6ad934-6d37-438e-9e05-02836ddcbdc4",
            "AlarmName": "TargetTracking-service/default/web-app-AlarmLow-9b6ad934-6d37-438e-9e05-02836ddcbdc4"
        }
    ]
}

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

Output

PolicyARN -> (string)

The Amazon Resource Name (ARN) of the resulting scaling policy.

Alarms -> (list)

The CloudWatch alarms created for the target tracking scaling policy.

(structure)

Represents a CloudWatch alarm associated with a scaling policy.

AlarmName -> (string)

The name of the alarm.

AlarmARN -> (string)

The Amazon Resource Name (ARN) of the alarm.