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[ aws . application-autoscaling ]

deregister-scalable-target

Description

Deregisters an Application Auto Scaling scalable target when you have finished using it. To see which resources have been registered, use DescribeScalableTargets .

Note

Deregistering a scalable target deletes the scaling policies and the scheduled actions that are associated with it.

See also: AWS API Documentation

Synopsis

  deregister-scalable-target
--service-namespace <value>
--resource-id <value>
--scalable-dimension <value>
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]
[--debug]
[--endpoint-url <value>]
[--no-verify-ssl]
[--no-paginate]
[--output <value>]
[--query <value>]
[--profile <value>]
[--region <value>]
[--version <value>]
[--color <value>]
[--no-sign-request]
[--ca-bundle <value>]
[--cli-read-timeout <value>]
[--cli-connect-timeout <value>]

Options

--service-namespace (string)

The namespace of the Amazon Web Services 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
  • elasticache
  • neptune

--resource-id (string)

The identifier of the resource associated with the scalable target. 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 - 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 .
  • 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 .
  • Amazon ElastiCache replication group - The resource type is replication-group and the unique identifier is the replication group name. Example: replication-group/mycluster .
  • Neptune cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:mycluster .
  • SageMaker Serverless endpoint - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering .
  • SageMaker inference component - The resource type is inference-component and the unique identifier is the resource ID. Example: inference-component/my-inference-component .

--scalable-dimension (string)

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

  • ecs:service:DesiredCount - The desired task count of an ECS service.
  • elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group.
  • ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet.
  • 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 a 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.
  • elasticache:replication-group:NodeGroups - The number of node groups for an Amazon ElastiCache replication group.
  • elasticache:replication-group:Replicas - The number of replicas per node group for an Amazon ElastiCache replication group.
  • neptune:cluster:ReadReplicaCount - The count of read replicas in an Amazon Neptune DB cluster.
  • sagemaker:variant:DesiredProvisionedConcurrency - The provisioned concurrency for a SageMaker Serverless endpoint.
  • sagemaker:inference-component:DesiredCopyCount - The number of copies across an endpoint for a SageMaker inference component.

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
  • elasticache:replication-group:NodeGroups
  • elasticache:replication-group:Replicas
  • neptune:cluster:ReadReplicaCount
  • sagemaker:variant:DesiredProvisionedConcurrency
  • sagemaker:inference-component:DesiredCopyCount

--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.

Global Options

--debug (boolean)

Turn on debug logging.

--endpoint-url (string)

Override command's default URL with the given URL.

--no-verify-ssl (boolean)

By default, the AWS CLI uses SSL when communicating with AWS services. For each SSL connection, the AWS CLI will verify SSL certificates. This option overrides the default behavior of verifying SSL certificates.

--no-paginate (boolean)

Disable automatic pagination.

--output (string)

The formatting style for command output.

  • json
  • text
  • table

--query (string)

A JMESPath query to use in filtering the response data.

--profile (string)

Use a specific profile from your credential file.

--region (string)

The region to use. Overrides config/env settings.

--version (string)

Display the version of this tool.

--color (string)

Turn on/off color output.

  • on
  • off
  • auto

--no-sign-request (boolean)

Do not sign requests. Credentials will not be loaded if this argument is provided.

--ca-bundle (string)

The CA certificate bundle to use when verifying SSL certificates. Overrides config/env settings.

--cli-read-timeout (int)

The maximum socket read time in seconds. If the value is set to 0, the socket read will be blocking and not timeout. The default value is 60 seconds.

--cli-connect-timeout (int)

The maximum socket connect time in seconds. If the value is set to 0, the socket connect will be blocking and not timeout. The default value is 60 seconds.

Examples

Note

To use the following examples, you must have the AWS CLI installed and configured. See the Getting started guide in the AWS CLI User Guide for more information.

Unless otherwise stated, all examples have unix-like quotation rules. These examples will need to be adapted to your terminal's quoting rules. See Using quotation marks with strings in the AWS CLI User Guide .

To deregister a scalable target

This example deregisters a scalable target for an Amazon ECS service called web-app that is running in the default cluster.

Command:

aws application-autoscaling deregister-scalable-target --service-namespace ecs --scalable-dimension ecs:service:DesiredCount --resource-id service/default/web-app

This example deregisters a scalable target for a custom resource. The custom-resource-id.txt file contains a string that identifies the Resource ID, which, for a custom resource, is the path to the custom resource through your Amazon API Gateway endpoint.

Command:

aws application-autoscaling deregister-scalable-target --service-namespace custom-resource --scalable-dimension custom-resource:ResourceType:Property --resource-id file://~/custom-resource-id.txt

Contents of custom-resource-id.txt file:

https://example.execute-api.us-west-2.amazonaws.com/prod/scalableTargetDimensions/1-23456789

Output

None