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Class: Aws::ApplicationAutoScaling::Client

Inherits:
Seahorse::Client::Base show all
Includes:
ClientStubs
Defined in:
gems/aws-sdk-applicationautoscaling/lib/aws-sdk-applicationautoscaling/client.rb

Instance Attribute Summary

Attributes inherited from Seahorse::Client::Base

#config, #handlers

API Operations collapse

Instance Method Summary collapse

Methods included from ClientStubs

#api_requests, #stub_data, #stub_responses

Methods inherited from Seahorse::Client::Base

add_plugin, api, clear_plugins, define, new, #operation_names, plugins, remove_plugin, set_api, set_plugins

Methods included from Seahorse::Client::HandlerBuilder

#handle, #handle_request, #handle_response

Constructor Details

#initialize(options) ⇒ Client

Returns a new instance of Client

Parameters:

  • options (Hash)

Options Hash (options):

  • :credentials (required, Aws::CredentialProvider)

    Your AWS credentials. This can be an instance of any one of the following classes:

    • Aws::Credentials - Used for configuring static, non-refreshing credentials.

    • Aws::InstanceProfileCredentials - Used for loading credentials from an EC2 IMDS on an EC2 instance.

    • Aws::SharedCredentials - Used for loading credentials from a shared file, such as ~/.aws/config.

    • Aws::AssumeRoleCredentials - Used when you need to assume a role.

    When :credentials are not configured directly, the following locations will be searched for credentials:

    • Aws.config[:credentials]
    • The :access_key_id, :secret_access_key, and :session_token options.
    • ENV['AWS_ACCESS_KEY_ID'], ENV['AWS_SECRET_ACCESS_KEY']
    • ~/.aws/credentials
    • ~/.aws/config
    • EC2 IMDS instance profile - When used by default, the timeouts are very aggressive. Construct and pass an instance of Aws::InstanceProfileCredentails to enable retries and extended timeouts.
  • :region (required, String)

    The AWS region to connect to. The configured :region is used to determine the service :endpoint. When not passed, a default :region is search for in the following locations:

    • Aws.config[:region]
    • ENV['AWS_REGION']
    • ENV['AMAZON_REGION']
    • ENV['AWS_DEFAULT_REGION']
    • ~/.aws/credentials
    • ~/.aws/config
  • :access_key_id (String)
  • :active_endpoint_cache (Boolean) — default: false

    When set to true, a thread polling for endpoints will be running in the background every 60 secs (default). Defaults to false.

  • :client_side_monitoring (Boolean) — default: false

    When true, client-side metrics will be collected for all API requests from this client.

  • :client_side_monitoring_client_id (String) — default: ""

    Allows you to provide an identifier for this client which will be attached to all generated client side metrics. Defaults to an empty string.

  • :client_side_monitoring_host (String) — default: "127.0.0.1"

    Allows you to specify the DNS hostname or IPv4 or IPv6 address that the client side monitoring agent is running on, where client metrics will be published via UDP.

  • :client_side_monitoring_port (Integer) — default: 31000

    Required for publishing client metrics. The port that the client side monitoring agent is running on, where client metrics will be published via UDP.

  • :client_side_monitoring_publisher (Aws::ClientSideMonitoring::Publisher) — default: Aws::ClientSideMonitoring::Publisher

    Allows you to provide a custom client-side monitoring publisher class. By default, will use the Client Side Monitoring Agent Publisher.

  • :convert_params (Boolean) — default: true

    When true, an attempt is made to coerce request parameters into the required types.

  • :disable_host_prefix_injection (Boolean) — default: false

    Set to true to disable SDK automatically adding host prefix to default service endpoint when available.

  • :endpoint (String)

    The client endpoint is normally constructed from the :region option. You should only configure an :endpoint when connecting to test endpoints. This should be avalid HTTP(S) URI.

  • :endpoint_cache_max_entries (Integer) — default: 1000

    Used for the maximum size limit of the LRU cache storing endpoints data for endpoint discovery enabled operations. Defaults to 1000.

  • :endpoint_cache_max_threads (Integer) — default: 10

    Used for the maximum threads in use for polling endpoints to be cached, defaults to 10.

  • :endpoint_cache_poll_interval (Integer) — default: 60

    When :endpoint_discovery and :active_endpoint_cache is enabled, Use this option to config the time interval in seconds for making requests fetching endpoints information. Defaults to 60 sec.

  • :endpoint_discovery (Boolean) — default: false

    When set to true, endpoint discovery will be enabled for operations when available. Defaults to false.

  • :log_formatter (Aws::Log::Formatter) — default: Aws::Log::Formatter.default

    The log formatter.

  • :log_level (Symbol) — default: :info

    The log level to send messages to the :logger at.

  • :logger (Logger)

    The Logger instance to send log messages to. If this option is not set, logging will be disabled.

  • :profile (String) — default: "default"

    Used when loading credentials from the shared credentials file at HOME/.aws/credentials. When not specified, 'default' is used.

  • :retry_base_delay (Float) — default: 0.3

    The base delay in seconds used by the default backoff function.

  • :retry_jitter (Symbol) — default: :none

    A delay randomiser function used by the default backoff function. Some predefined functions can be referenced by name - :none, :equal, :full, otherwise a Proc that takes and returns a number.

    @see https://www.awsarchitectureblog.com/2015/03/backoff.html

  • :retry_limit (Integer) — default: 3

    The maximum number of times to retry failed requests. Only ~ 500 level server errors and certain ~ 400 level client errors are retried. Generally, these are throttling errors, data checksum errors, networking errors, timeout errors and auth errors from expired credentials.

  • :retry_max_delay (Integer) — default: 0

    The maximum number of seconds to delay between retries (0 for no limit) used by the default backoff function.

  • :secret_access_key (String)
  • :session_token (String)
  • :simple_json (Boolean) — default: false

    Disables request parameter conversion, validation, and formatting. Also disable response data type conversions. This option is useful when you want to ensure the highest level of performance by avoiding overhead of walking request parameters and response data structures.

    When :simple_json is enabled, the request parameters hash must be formatted exactly as the DynamoDB API expects.

  • :stub_responses (Boolean) — default: false

    Causes the client to return stubbed responses. By default fake responses are generated and returned. You can specify the response data to return or errors to raise by calling ClientStubs#stub_responses. See ClientStubs for more information.

    Please note When response stubbing is enabled, no HTTP requests are made, and retries are disabled.

  • :validate_params (Boolean) — default: true

    When true, request parameters are validated before sending the request.

  • :http_proxy (URI::HTTP, String)

    A proxy to send requests through. Formatted like 'http://proxy.com:123'.

  • :http_open_timeout (Float) — default: 15

    The number of seconds to wait when opening a HTTP session before rasing a Timeout::Error.

  • :http_read_timeout (Integer) — default: 60

    The default number of seconds to wait for response data. This value can safely be set per-request on the session yeidled by #session_for.

  • :http_idle_timeout (Float) — default: 5

    The number of seconds a connection is allowed to sit idble before it is considered stale. Stale connections are closed and removed from the pool before making a request.

  • :http_continue_timeout (Float) — default: 1

    The number of seconds to wait for a 100-continue response before sending the request body. This option has no effect unless the request has "Expect" header set to "100-continue". Defaults to nil which disables this behaviour. This value can safely be set per request on the session yeidled by #session_for.

  • :http_wire_trace (Boolean) — default: false

    When true, HTTP debug output will be sent to the :logger.

  • :ssl_verify_peer (Boolean) — default: true

    When true, SSL peer certificates are verified when establishing a connection.

  • :ssl_ca_bundle (String)

    Full path to the SSL certificate authority bundle file that should be used when verifying peer certificates. If you do not pass :ssl_ca_bundle or :ssl_ca_directory the the system default will be used if available.

  • :ssl_ca_directory (String)

    Full path of the directory that contains the unbundled SSL certificate authority files for verifying peer certificates. If you do not pass :ssl_ca_bundle or :ssl_ca_directory the the system default will be used if available.



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# File 'gems/aws-sdk-applicationautoscaling/lib/aws-sdk-applicationautoscaling/client.rb', line 261

def initialize(*args)
  super
end

Instance Method Details

#delete_scaling_policy(params = {}) ⇒ Struct

Deletes the specified scaling policy for an Application Auto Scaling scalable target.

Deleting a step scaling policy deletes the underlying alarm action, but does not delete the CloudWatch alarm associated with the scaling policy, even if it no longer has an associated action.

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

To create a scaling policy or update an existing one, see PutScalingPolicy.

Examples:

Example: To delete a scaling policy


# This example deletes a scaling policy for the Amazon ECS service called web-app, which is running in the default
# cluster.

resp = client.delete_scaling_policy({
  policy_name: "web-app-cpu-lt-25", 
  resource_id: "service/default/web-app", 
  scalable_dimension: "ecs:service:DesiredCount", 
  service_namespace: "ecs", 
})

resp.to_h outputs the following:
{
}

Request syntax with placeholder values


resp = client.delete_scaling_policy({
  policy_name: "ResourceIdMaxLen1600", # required
  service_namespace: "ecs", # required, accepts ecs, elasticmapreduce, ec2, appstream, dynamodb, rds, sagemaker, custom-resource, comprehend, lambda
  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, lambda:function:ProvisionedConcurrency
})

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :policy_name (required, String)

    The name of the scaling policy.

  • :service_namespace (required, 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.

  • :resource_id (required, 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 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.

    • 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.

  • :scalable_dimension (required, 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.

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

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

Returns:

  • (Struct)

    Returns an empty response.

See Also:



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# File 'gems/aws-sdk-applicationautoscaling/lib/aws-sdk-applicationautoscaling/client.rb', line 429

def delete_scaling_policy(params = {}, options = {})
  req = build_request(:delete_scaling_policy, params)
  req.send_request(options)
end

#delete_scheduled_action(params = {}) ⇒ Struct

Deletes the specified scheduled action for an Application Auto Scaling scalable target.

For more information, see Delete a Scheduled Action in the Application Auto Scaling User Guide.

Examples:

Request syntax with placeholder values


resp = client.delete_scheduled_action({
  service_namespace: "ecs", # required, accepts ecs, elasticmapreduce, ec2, appstream, dynamodb, rds, sagemaker, custom-resource, comprehend, lambda
  scheduled_action_name: "ResourceIdMaxLen1600", # required
  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, lambda:function:ProvisionedConcurrency
})

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :service_namespace (required, 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.

  • :scheduled_action_name (required, String)

    The name of the scheduled action.

  • :resource_id (required, String)

    The identifier of the resource associated with the scheduled action. 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.

    • 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.

  • :scalable_dimension (required, 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.

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

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

Returns:

  • (Struct)

    Returns an empty response.

See Also:



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# File 'gems/aws-sdk-applicationautoscaling/lib/aws-sdk-applicationautoscaling/client.rb', line 570

def delete_scheduled_action(params = {}, options = {})
  req = build_request(:delete_scheduled_action, params)
  req.send_request(options)
end

#deregister_scalable_target(params = {}) ⇒ Struct

Deregisters an Application Auto Scaling scalable target.

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

To create a scalable target or update an existing one, see RegisterScalableTarget.

Examples:

Example: 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.

resp = client.deregister_scalable_target({
  resource_id: "service/default/web-app", 
  scalable_dimension: "ecs:service:DesiredCount", 
  service_namespace: "ecs", 
})

resp.to_h outputs the following:
{
}

Request syntax with placeholder values


resp = client.deregister_scalable_target({
  service_namespace: "ecs", # required, accepts ecs, elasticmapreduce, ec2, appstream, dynamodb, rds, sagemaker, custom-resource, comprehend, lambda
  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, lambda:function:ProvisionedConcurrency
})

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :service_namespace (required, 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.

  • :resource_id (required, 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 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.

    • 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.

  • :scalable_dimension (required, 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.

    • 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.

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

Returns:

  • (Struct)

    Returns an empty response.

See Also:



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# File 'gems/aws-sdk-applicationautoscaling/lib/aws-sdk-applicationautoscaling/client.rb', line 722

def deregister_scalable_target(params = {}, options = {})
  req = build_request(:deregister_scalable_target, params)
  req.send_request(options)
end

#describe_scalable_targets(params = {}) ⇒ Types::DescribeScalableTargetsResponse

Gets information about the scalable targets in the specified namespace.

You can filter the results using ResourceIds and ScalableDimension.

To create a scalable target or update an existing one, see RegisterScalableTarget. If you are no longer using a scalable target, you can deregister it using DeregisterScalableTarget.

Examples:

Example: To describe scalable targets


# This example describes the scalable targets for the ecs service namespace.

resp = client.describe_scalable_targets({
  service_namespace: "ecs", 
})

resp.to_h outputs the following:
{
  scalable_targets: [
    {
      creation_time: Time.parse("2016-05-06T11:21:46.199Z"), 
      max_capacity: 10, 
      min_capacity: 1, 
      resource_id: "service/default/web-app", 
      role_arn: "arn:aws:iam::012345678910:role/aws-service-role/ecs.application-autoscaling.amazonaws.com/AWSServiceRoleForApplicationAutoScaling_ECSService", 
      scalable_dimension: "ecs:service:DesiredCount", 
      service_namespace: "ecs", 
      suspended_state: {
        dynamic_scaling_in_suspended: false, 
        dynamic_scaling_out_suspended: false, 
        scheduled_scaling_suspended: false, 
      }, 
    }, 
  ], 
}

Request syntax with placeholder values


resp = client.describe_scalable_targets({
  service_namespace: "ecs", # required, accepts ecs, elasticmapreduce, ec2, appstream, dynamodb, rds, sagemaker, custom-resource, comprehend, lambda
  resource_ids: ["ResourceIdMaxLen1600"],
  scalable_dimension: "ecs:service:DesiredCount", # 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, lambda:function:ProvisionedConcurrency
  max_results: 1,
  next_token: "XmlString",
})

Response structure


resp.scalable_targets #=> Array
resp.scalable_targets[0].service_namespace #=> String, one of "ecs", "elasticmapreduce", "ec2", "appstream", "dynamodb", "rds", "sagemaker", "custom-resource", "comprehend", "lambda"
resp.scalable_targets[0].resource_id #=> String
resp.scalable_targets[0].scalable_dimension #=> String, one of "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", "lambda:function:ProvisionedConcurrency"
resp.scalable_targets[0].min_capacity #=> Integer
resp.scalable_targets[0].max_capacity #=> Integer
resp.scalable_targets[0].role_arn #=> String
resp.scalable_targets[0].creation_time #=> Time
resp.scalable_targets[0].suspended_state.dynamic_scaling_in_suspended #=> Boolean
resp.scalable_targets[0].suspended_state.dynamic_scaling_out_suspended #=> Boolean
resp.scalable_targets[0].suspended_state.scheduled_scaling_suspended #=> Boolean
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :service_namespace (required, 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.

  • :resource_ids (Array<String>)

    The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier. If you specify a scalable dimension, you must also specify a resource ID.

    • 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.

    • 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.

  • :scalable_dimension (String)

    The scalable dimension associated with the scalable target. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID.

    • 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.

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

  • :max_results (Integer)

    The maximum number of scalable targets. This value can be between 1 and 50. The default value is 50.

    If this parameter is used, the operation returns up to MaxResults results at a time, along with a NextToken value. To get the next set of results, include the NextToken value in a subsequent call. If this parameter is not used, the operation returns up to 50 results and a NextToken value, if applicable.

  • :next_token (String)

    The token for the next set of results.

Returns:

See Also:



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# File 'gems/aws-sdk-applicationautoscaling/lib/aws-sdk-applicationautoscaling/client.rb', line 924

def describe_scalable_targets(params = {}, options = {})
  req = build_request(:describe_scalable_targets, params)
  req.send_request(options)
end

#describe_scaling_activities(params = {}) ⇒ Types::DescribeScalingActivitiesResponse

Provides descriptive information about the scaling activities in the specified namespace from the previous six weeks.

You can filter the results using ResourceId and ScalableDimension.

Scaling activities are triggered by CloudWatch alarms that are associated with scaling policies. To view the scaling policies for a service namespace, see DescribeScalingPolicies. To create a scaling policy or update an existing one, see PutScalingPolicy.

Examples:

Example: To describe scaling activities for a scalable target


# This example describes the scaling activities for an Amazon ECS service called web-app that is running in the default
# cluster.

resp = client.describe_scaling_activities({
  resource_id: "service/default/web-app", 
  scalable_dimension: "ecs:service:DesiredCount", 
  service_namespace: "ecs", 
})

resp.to_h outputs the following:
{
  scaling_activities: [
    {
      activity_id: "e6c5f7d1-dbbb-4a3f-89b2-51f33e766399", 
      cause: "monitor alarm web-app-cpu-lt-25 in state ALARM triggered policy web-app-cpu-lt-25", 
      description: "Setting desired count to 1.", 
      end_time: Time.parse("2016-05-06T16:04:32.111Z"), 
      resource_id: "service/default/web-app", 
      scalable_dimension: "ecs:service:DesiredCount", 
      service_namespace: "ecs", 
      start_time: Time.parse("2016-05-06T16:03:58.171Z"), 
      status_code: "Successful", 
      status_message: "Successfully set desired count to 1. Change successfully fulfilled by ecs.", 
    }, 
  ], 
}

Request syntax with placeholder values


resp = client.describe_scaling_activities({
  service_namespace: "ecs", # required, accepts ecs, elasticmapreduce, ec2, appstream, dynamodb, rds, sagemaker, custom-resource, comprehend, lambda
  resource_id: "ResourceIdMaxLen1600",
  scalable_dimension: "ecs:service:DesiredCount", # 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, lambda:function:ProvisionedConcurrency
  max_results: 1,
  next_token: "XmlString",
})

Response structure


resp.scaling_activities #=> Array
resp.scaling_activities[0].activity_id #=> String
resp.scaling_activities[0].service_namespace #=> String, one of "ecs", "elasticmapreduce", "ec2", "appstream", "dynamodb", "rds", "sagemaker", "custom-resource", "comprehend", "lambda"
resp.scaling_activities[0].resource_id #=> String
resp.scaling_activities[0].scalable_dimension #=> String, one of "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", "lambda:function:ProvisionedConcurrency"
resp.scaling_activities[0].description #=> String
resp.scaling_activities[0].cause #=> String
resp.scaling_activities[0].start_time #=> Time
resp.scaling_activities[0].end_time #=> Time
resp.scaling_activities[0].status_code #=> String, one of "Pending", "InProgress", "Successful", "Overridden", "Unfulfilled", "Failed"
resp.scaling_activities[0].status_message #=> String
resp.scaling_activities[0].details #=> String
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :service_namespace (required, 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.

  • :resource_id (String)

    The identifier of the resource associated with the scaling activity. This string consists of the resource type and unique identifier. If you specify a scalable dimension, you must also specify a resource ID.

    • 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.

    • 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.

  • :scalable_dimension (String)

    The scalable dimension. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID.

    • 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.

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

  • :max_results (Integer)

    The maximum number of scalable targets. This value can be between 1 and 50. The default value is 50.

    If this parameter is used, the operation returns up to MaxResults results at a time, along with a NextToken value. To get the next set of results, include the NextToken value in a subsequent call. If this parameter is not used, the operation returns up to 50 results and a NextToken value, if applicable.

  • :next_token (String)

    The token for the next set of results.

Returns:

See Also:



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# File 'gems/aws-sdk-applicationautoscaling/lib/aws-sdk-applicationautoscaling/client.rb', line 1127

def describe_scaling_activities(params = {}, options = {})
  req = build_request(:describe_scaling_activities, params)
  req.send_request(options)
end

#describe_scaling_policies(params = {}) ⇒ Types::DescribeScalingPoliciesResponse

Describes the Application Auto Scaling scaling policies for the specified service namespace.

You can filter the results using ResourceId, ScalableDimension, and PolicyNames.

To create a scaling policy or update an existing one, see PutScalingPolicy. If you are no longer using a scaling policy, you can delete it using DeleteScalingPolicy.

Examples:

Example: To describe scaling policies


# This example describes the scaling policies for the ecs service namespace.

resp = client.describe_scaling_policies({
  service_namespace: "ecs", 
})

resp.to_h outputs the following:
{
  next_token: "", 
  scaling_policies: [
    {
      alarms: [
        {
          alarm_arn: "arn:aws:cloudwatch:us-west-2:012345678910:alarm:web-app-cpu-gt-75", 
          alarm_name: "web-app-cpu-gt-75", 
        }, 
      ], 
      creation_time: Time.parse("2016-05-06T12:11:39.230Z"), 
      policy_arn: "arn:aws:autoscaling:us-west-2:012345678910:scalingPolicy:6d8972f3-efc8-437c-92d1-6270f29a66e7:resource/ecs/service/default/web-app:policyName/web-app-cpu-gt-75", 
      policy_name: "web-app-cpu-gt-75", 
      policy_type: "StepScaling", 
      resource_id: "service/default/web-app", 
      scalable_dimension: "ecs:service:DesiredCount", 
      service_namespace: "ecs", 
      step_scaling_policy_configuration: {
        adjustment_type: "PercentChangeInCapacity", 
        cooldown: 60, 
        step_adjustments: [
          {
            metric_interval_lower_bound: 0, 
            scaling_adjustment: 200, 
          }, 
        ], 
      }, 
    }, 
  ], 
}

Request syntax with placeholder values


resp = client.describe_scaling_policies({
  policy_names: ["ResourceIdMaxLen1600"],
  service_namespace: "ecs", # required, accepts ecs, elasticmapreduce, ec2, appstream, dynamodb, rds, sagemaker, custom-resource, comprehend, lambda
  resource_id: "ResourceIdMaxLen1600",
  scalable_dimension: "ecs:service:DesiredCount", # 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, lambda:function:ProvisionedConcurrency
  max_results: 1,
  next_token: "XmlString",
})

Response structure


resp.scaling_policies #=> Array
resp.scaling_policies[0].policy_arn #=> String
resp.scaling_policies[0].policy_name #=> String
resp.scaling_policies[0].service_namespace #=> String, one of "ecs", "elasticmapreduce", "ec2", "appstream", "dynamodb", "rds", "sagemaker", "custom-resource", "comprehend", "lambda"
resp.scaling_policies[0].resource_id #=> String
resp.scaling_policies[0].scalable_dimension #=> String, one of "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", "lambda:function:ProvisionedConcurrency"
resp.scaling_policies[0].policy_type #=> String, one of "StepScaling", "TargetTrackingScaling"
resp.scaling_policies[0].step_scaling_policy_configuration.adjustment_type #=> String, one of "ChangeInCapacity", "PercentChangeInCapacity", "ExactCapacity"
resp.scaling_policies[0].step_scaling_policy_configuration.step_adjustments #=> Array
resp.scaling_policies[0].step_scaling_policy_configuration.step_adjustments[0].metric_interval_lower_bound #=> Float
resp.scaling_policies[0].step_scaling_policy_configuration.step_adjustments[0].metric_interval_upper_bound #=> Float
resp.scaling_policies[0].step_scaling_policy_configuration.step_adjustments[0].scaling_adjustment #=> Integer
resp.scaling_policies[0].step_scaling_policy_configuration.min_adjustment_magnitude #=> Integer
resp.scaling_policies[0].step_scaling_policy_configuration.cooldown #=> Integer
resp.scaling_policies[0].step_scaling_policy_configuration.metric_aggregation_type #=> String, one of "Average", "Minimum", "Maximum"
resp.scaling_policies[0].target_tracking_scaling_policy_configuration.target_value #=> Float
resp.scaling_policies[0].target_tracking_scaling_policy_configuration.predefined_metric_specification.predefined_metric_type #=> String, one of "DynamoDBReadCapacityUtilization", "DynamoDBWriteCapacityUtilization", "ALBRequestCountPerTarget", "RDSReaderAverageCPUUtilization", "RDSReaderAverageDatabaseConnections", "EC2SpotFleetRequestAverageCPUUtilization", "EC2SpotFleetRequestAverageNetworkIn", "EC2SpotFleetRequestAverageNetworkOut", "SageMakerVariantInvocationsPerInstance", "ECSServiceAverageCPUUtilization", "ECSServiceAverageMemoryUtilization", "AppStreamAverageCapacityUtilization", "ComprehendInferenceUtilization", "LambdaProvisionedConcurrencyUtilization"
resp.scaling_policies[0].target_tracking_scaling_policy_configuration.predefined_metric_specification.resource_label #=> String
resp.scaling_policies[0].target_tracking_scaling_policy_configuration.customized_metric_specification.metric_name #=> String
resp.scaling_policies[0].target_tracking_scaling_policy_configuration.customized_metric_specification.namespace #=> String
resp.scaling_policies[0].target_tracking_scaling_policy_configuration.customized_metric_specification.dimensions #=> Array
resp.scaling_policies[0].target_tracking_scaling_policy_configuration.customized_metric_specification.dimensions[0].name #=> String
resp.scaling_policies[0].target_tracking_scaling_policy_configuration.customized_metric_specification.dimensions[0].value #=> String
resp.scaling_policies[0].target_tracking_scaling_policy_configuration.customized_metric_specification.statistic #=> String, one of "Average", "Minimum", "Maximum", "SampleCount", "Sum"
resp.scaling_policies[0].target_tracking_scaling_policy_configuration.customized_metric_specification.unit #=> String
resp.scaling_policies[0].target_tracking_scaling_policy_configuration.scale_out_cooldown #=> Integer
resp.scaling_policies[0].target_tracking_scaling_policy_configuration.scale_in_cooldown #=> Integer
resp.scaling_policies[0].target_tracking_scaling_policy_configuration.disable_scale_in #=> Boolean
resp.scaling_policies[0].alarms #=> Array
resp.scaling_policies[0].alarms[0].alarm_name #=> String
resp.scaling_policies[0].alarms[0].alarm_arn #=> String
resp.scaling_policies[0].creation_time #=> Time
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :policy_names (Array<String>)

    The names of the scaling policies to describe.

  • :service_namespace (required, 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.

  • :resource_id (String)

    The identifier of the resource associated with the scaling policy. This string consists of the resource type and unique identifier. If you specify a scalable dimension, you must also specify a resource ID.

    • 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.

    • 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.

  • :scalable_dimension (String)

    The scalable dimension. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID.

    • 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.

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

  • :max_results (Integer)

    The maximum number of scalable targets. This value can be between 1 and 50. The default value is 50.

    If this parameter is used, the operation returns up to MaxResults results at a time, along with a NextToken value. To get the next set of results, include the NextToken value in a subsequent call. If this parameter is not used, the operation returns up to 50 results and a NextToken value, if applicable.

  • :next_token (String)

    The token for the next set of results.

Returns:

See Also:



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# File 'gems/aws-sdk-applicationautoscaling/lib/aws-sdk-applicationautoscaling/client.rb', line 1365

def describe_scaling_policies(params = {}, options = {})
  req = build_request(:describe_scaling_policies, params)
  req.send_request(options)
end

#describe_scheduled_actions(params = {}) ⇒ Types::DescribeScheduledActionsResponse

Describes the Application Auto Scaling scheduled actions for the specified service namespace.

You can filter the results using the ResourceId, ScalableDimension, and ScheduledActionNames parameters.

To create a scheduled action or update an existing one, see PutScheduledAction. If you are no longer using a scheduled action, you can delete it using DeleteScheduledAction.

Examples:

Request syntax with placeholder values


resp = client.describe_scheduled_actions({
  scheduled_action_names: ["ResourceIdMaxLen1600"],
  service_namespace: "ecs", # required, accepts ecs, elasticmapreduce, ec2, appstream, dynamodb, rds, sagemaker, custom-resource, comprehend, lambda
  resource_id: "ResourceIdMaxLen1600",
  scalable_dimension: "ecs:service:DesiredCount", # 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, lambda:function:ProvisionedConcurrency
  max_results: 1,
  next_token: "XmlString",
})

Response structure


resp.scheduled_actions #=> Array
resp.scheduled_actions[0].scheduled_action_name #=> String
resp.scheduled_actions[0].scheduled_action_arn #=> String
resp.scheduled_actions[0].service_namespace #=> String, one of "ecs", "elasticmapreduce", "ec2", "appstream", "dynamodb", "rds", "sagemaker", "custom-resource", "comprehend", "lambda"
resp.scheduled_actions[0].schedule #=> String
resp.scheduled_actions[0].resource_id #=> String
resp.scheduled_actions[0].scalable_dimension #=> String, one of "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", "lambda:function:ProvisionedConcurrency"
resp.scheduled_actions[0].start_time #=> Time
resp.scheduled_actions[0].end_time #=> Time
resp.scheduled_actions[0].scalable_target_action.min_capacity #=> Integer
resp.scheduled_actions[0].scalable_target_action.max_capacity #=> Integer
resp.scheduled_actions[0].creation_time #=> Time
resp.next_token #=> String

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :scheduled_action_names (Array<String>)

    The names of the scheduled actions to describe.

  • :service_namespace (required, 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.

  • :resource_id (String)

    The identifier of the resource associated with the scheduled action. This string consists of the resource type and unique identifier. If you specify a scalable dimension, you must also specify a resource ID.

    • 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.

    • 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.

  • :scalable_dimension (String)

    The scalable dimension. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID.

    • 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.

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

  • :max_results (Integer)

    The maximum number of scheduled action results. This value can be between 1 and 50. The default value is 50.

    If this parameter is used, the operation returns up to MaxResults results at a time, along with a NextToken value. To get the next set of results, include the NextToken value in a subsequent call. If this parameter is not used, the operation returns up to 50 results and a NextToken value, if applicable.

  • :next_token (String)

    The token for the next set of results.

Returns:

See Also:



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# File 'gems/aws-sdk-applicationautoscaling/lib/aws-sdk-applicationautoscaling/client.rb', line 1542

def describe_scheduled_actions(params = {}, options = {})
  req = build_request(:describe_scheduled_actions, params)
  req.send_request(options)
end

#put_scaling_policy(params = {}) ⇒ Types::PutScalingPolicyResponse

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 out and scale in. 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.

Examples:

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


# The following 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.

resp = client.put_scaling_policy({
  policy_name: "cpu75-target-tracking-scaling-policy", 
  policy_type: "TargetTrackingScaling", 
  resource_id: "service/default/web-app", 
  scalable_dimension: "ecs:service:DesiredCount", 
  service_namespace: "ecs", 
  target_tracking_scaling_policy_configuration: {
    predefined_metric_specification: {
      predefined_metric_type: "ECSServiceAverageCPUUtilization", 
    }, 
    scale_in_cooldown: 60, 
    scale_out_cooldown: 60, 
    target_value: 75, 
  }, 
})

resp.to_h outputs the following:
{
  alarms: [
    {
      alarm_arn: "arn:aws:cloudwatch:us-west-2:012345678910:alarm:TargetTracking-service/default/web-app-AlarmHigh-d4f0770c-b46e-434a-a60f-3b36d653feca", 
      alarm_name: "TargetTracking-service/default/web-app-AlarmHigh-d4f0770c-b46e-434a-a60f-3b36d653feca", 
    }, 
    {
      alarm_arn: "arn:aws:cloudwatch:us-west-2:012345678910:alarm:TargetTracking-service/default/web-app-AlarmLow-1b437334-d19b-4a63-a812-6c67aaf2910d", 
      alarm_name: "TargetTracking-service/default/web-app-AlarmLow-1b437334-d19b-4a63-a812-6c67aaf2910d", 
    }, 
  ], 
  policy_arn: "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", 
}

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


# The following 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. 

resp = client.put_scaling_policy({
  policy_name: "cms75-target-tracking-scaling-policy", 
  policy_type: "TargetTrackingScaling", 
  resource_id: "service/default/web-app", 
  scalable_dimension: "ecs:service:DesiredCount", 
  service_namespace: "ecs", 
  target_tracking_scaling_policy_configuration: {
    customized_metric_specification: {
      dimensions: [
        {
          name: "MyOptionalMetricDimensionName", 
          value: "MyOptionalMetricDimensionValue", 
        }, 
      ], 
      metric_name: "MyUtilizationMetric", 
      namespace: "MyNamespace", 
      statistic: "Average", 
      unit: "Percent", 
    }, 
    scale_in_cooldown: 60, 
    scale_out_cooldown: 60, 
    target_value: 75, 
  }, 
})

resp.to_h outputs the following:
{
  alarms: [
    {
      alarm_arn: "arn:aws:cloudwatch:us-west-2:012345678910:alarm:TargetTracking-service/default/web-app-AlarmHigh-9bc77b56-0571-4276-ba0f-d4178882e0a0", 
      alarm_name: "TargetTracking-service/default/web-app-AlarmHigh-9bc77b56-0571-4276-ba0f-d4178882e0a0", 
    }, 
    {
      alarm_arn: "arn:aws:cloudwatch:us-west-2:012345678910:alarm:TargetTracking-service/default/web-app-AlarmLow-9b6ad934-6d37-438e-9e05-02836ddcbdc4", 
      alarm_name: "TargetTracking-service/default/web-app-AlarmLow-9b6ad934-6d37-438e-9e05-02836ddcbdc4", 
    }, 
  ], 
  policy_arn: "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", 
}

Example: To apply a target tracking scaling policy for scale out only


# The following example applies a target tracking scaling policy to an Amazon ECS service called web-app in the default
# cluster. The policy is used to scale out the ECS service when the RequestCountPerTarget metric from the Application Load
# Balancer exceeds the threshold.

resp = client.put_scaling_policy({
  policy_name: "alb-scale-out-target-tracking-scaling-policy", 
  policy_type: "TargetTrackingScaling", 
  resource_id: "service/default/web-app", 
  scalable_dimension: "ecs:service:DesiredCount", 
  service_namespace: "ecs", 
  target_tracking_scaling_policy_configuration: {
    disable_scale_in: true, 
    predefined_metric_specification: {
      predefined_metric_type: "ALBRequestCountPerTarget", 
      resource_label: "app/EC2Co-EcsEl-1TKLTMITMM0EO/f37c06a68c1748aa/targetgroup/EC2Co-Defau-LDNM7Q3ZH1ZN/6d4ea56ca2d6a18d", 
    }, 
    scale_in_cooldown: 60, 
    scale_out_cooldown: 60, 
    target_value: 1000, 
  }, 
})

resp.to_h outputs the following:
{
  alarms: [
    {
      alarm_arn: "TargetTracking-service/default/web-app-AlarmHigh-d4f0770c-b46e-434a-a60f-3b36d653feca", 
      alarm_name: "arn:aws:cloudwatch:us-west-2:012345678910:alarm:TargetTracking-service/default/web-app-AlarmHigh-d4f0770c-b46e-434a-a60f-3b36d653feca", 
    }, 
  ], 
  policy_arn: "arn:aws:autoscaling:us-west-2:012345678910:scalingPolicy:6d8972f3-efc8-437c-92d1-6270f29a66e7:resource/ecs/service/default/web-app:policyName/alb-scale-out-target-tracking-scaling-policy", 
}

Example: To apply a step scaling policy to an Amazon ECS service


# This example applies a step scaling policy to an Amazon ECS service called web-app in the default cluster. The policy
# increases the desired count of the service by 200%, with a cool down period of 60 seconds.

resp = client.put_scaling_policy({
  policy_name: "web-app-cpu-gt-75", 
  policy_type: "StepScaling", 
  resource_id: "service/default/web-app", 
  scalable_dimension: "ecs:service:DesiredCount", 
  service_namespace: "ecs", 
  step_scaling_policy_configuration: {
    adjustment_type: "PercentChangeInCapacity", 
    cooldown: 60, 
    step_adjustments: [
      {
        metric_interval_lower_bound: 0, 
        scaling_adjustment: 200, 
      }, 
    ], 
  }, 
})

resp.to_h outputs the following:
{
  policy_arn: "arn:aws:autoscaling:us-west-2:012345678910:scalingPolicy:6d8972f3-efc8-437c-92d1-6270f29a66e7:resource/ecs/service/default/web-app:policyName/web-app-cpu-gt-75", 
}

Example: To apply a step scaling policy to an Amazon EC2 Spot fleet


# This example applies a step scaling policy to an Amazon EC2 Spot fleet. The policy increases the target capacity of the
# spot fleet by 200%, with a cool down period of 180 seconds.",

resp = client.put_scaling_policy({
  policy_name: "fleet-cpu-gt-75", 
  policy_type: "StepScaling", 
  resource_id: "spot-fleet-request/sfr-45e69d8a-be48-4539-bbf3-3464e99c50c3", 
  scalable_dimension: "ec2:spot-fleet-request:TargetCapacity", 
  service_namespace: "ec2", 
  step_scaling_policy_configuration: {
    adjustment_type: "PercentChangeInCapacity", 
    cooldown: 180, 
    step_adjustments: [
      {
        metric_interval_lower_bound: 0, 
        scaling_adjustment: 200, 
      }, 
    ], 
  }, 
})

resp.to_h outputs the following:
{
  policy_arn: "arn:aws:autoscaling:us-east-1:012345678910:scalingPolicy:89406401-0cb7-4130-b770-d97cca0e446b:resource/ec2/spot-fleet-request/sfr-45e69d8a-be48-4539-bbf3-3464e99c50c3:policyName/fleet-cpu-gt-75", 
}

Request syntax with placeholder values


resp = client.put_scaling_policy({
  policy_name: "PolicyName", # required
  service_namespace: "ecs", # required, accepts ecs, elasticmapreduce, ec2, appstream, dynamodb, rds, sagemaker, custom-resource, comprehend, lambda
  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, lambda:function:ProvisionedConcurrency
  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
      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,
  },
})

Response structure


resp.policy_arn #=> String
resp.alarms #=> Array
resp.alarms[0].alarm_name #=> String
resp.alarms[0].alarm_arn #=> String

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :policy_name (required, String)

    The name of the scaling policy.

  • :service_namespace (required, 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.

  • :resource_id (required, 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 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.

    • 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.

  • :scalable_dimension (required, 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.

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

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

  • :policy_type (String)

    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, or AWS Lambda

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

  • :step_scaling_policy_configuration (Types::StepScalingPolicyConfiguration)

    A step scaling policy.

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

  • :target_tracking_scaling_policy_configuration (Types::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:

See Also:



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# File 'gems/aws-sdk-applicationautoscaling/lib/aws-sdk-applicationautoscaling/client.rb', line 1963

def put_scaling_policy(params = {}, options = {})
  req = build_request(:put_scaling_policy, params)
  req.send_request(options)
end

#put_scheduled_action(params = {}) ⇒ Struct

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

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

To update an action, specify its name and the parameters that you want to change. If you don't specify start and end times, the old values are deleted. Any other parameters that you don't specify are not changed by this update request.

You can view the scheduled actions using DescribeScheduledActions. If you are no longer using a scheduled action, you can delete it using DeleteScheduledAction.

Learn more about how to work with scheduled actions in the Application Auto Scaling User Guide.

Examples:

Request syntax with placeholder values


resp = client.put_scheduled_action({
  service_namespace: "ecs", # required, accepts ecs, elasticmapreduce, ec2, appstream, dynamodb, rds, sagemaker, custom-resource, comprehend, lambda
  schedule: "ResourceIdMaxLen1600",
  scheduled_action_name: "ScheduledActionName", # required
  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, lambda:function:ProvisionedConcurrency
  start_time: Time.now,
  end_time: Time.now,
  scalable_target_action: {
    min_capacity: 1,
    max_capacity: 1,
  },
})

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :service_namespace (required, 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.

  • :schedule (String)

    The schedule for this action. The following formats are supported:

    • At expressions - "at(yyyy-mm-ddThh:mm:ss)"

    • Rate expressions - "rate(value unit)"

    • Cron expressions - "cron(fields)"

    At expressions are useful for one-time schedules. Specify the time, in UTC.

    For rate expressions, value is a positive integer and unit is minute | minutes | hour | hours | day | days.

    For more information about cron expressions, see Cron Expressions in the Amazon CloudWatch Events User Guide.

  • :scheduled_action_name (required, String)

    The name of the scheduled action.

  • :resource_id (required, String)

    The identifier of the resource associated with the scheduled action. 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.

    • 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.

  • :scalable_dimension (required, 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.

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

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

  • :start_time (Time, DateTime, Date, Integer, String)

    The date and time for the scheduled action to start.

  • :end_time (Time, DateTime, Date, Integer, String)

    The date and time for the scheduled action to end.

  • :scalable_target_action (Types::ScalableTargetAction)

    The new minimum and maximum capacity. You can set both values or just one. During the scheduled time, if the current capacity is below the minimum capacity, Application Auto Scaling scales out to the minimum capacity. If the current capacity is above the maximum capacity, Application Auto Scaling scales in to the maximum capacity.

Returns:

  • (Struct)

    Returns an empty response.

See Also:



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# File 'gems/aws-sdk-applicationautoscaling/lib/aws-sdk-applicationautoscaling/client.rb', line 2161

def put_scheduled_action(params = {}, options = {})
  req = build_request(:put_scheduled_action, params)
  req.send_request(options)
end

#register_scalable_target(params = {}) ⇒ Struct

Registers or updates a scalable target. A scalable target is a resource that Application Auto Scaling can scale out and scale in. Scalable targets are uniquely identified by the combination of resource ID, scalable dimension, and namespace.

When you register a new scalable target, you must specify values for minimum and maximum capacity. Application Auto Scaling will not scale capacity to values that are outside of this range.

To update a scalable target, specify the parameter that you want to change as well as the following parameters that identify the scalable target: resource ID, scalable dimension, and namespace. Any parameters that you don't specify are not changed by this update request.

After you register a scalable target, you do not need to register it again to use other Application Auto Scaling operations. To see which resources have been registered, use DescribeScalableTargets. You can also view the scaling policies for a service namespace by using DescribeScalableTargets.

If you no longer need a scalable target, you can deregister it by using DeregisterScalableTarget.

Examples:

Example: To register an ECS service as a scalable target


# This example registers a scalable target from an Amazon ECS service called web-app that is running on the default
# cluster, with a minimum desired count of 1 task and a maximum desired count of 10 tasks.

resp = client.register_scalable_target({
  max_capacity: 10, 
  min_capacity: 1, 
  resource_id: "service/default/web-app", 
  scalable_dimension: "ecs:service:DesiredCount", 
  service_namespace: "ecs", 
})

Example: To register an EC2 Spot fleet as a scalable target


# This example registers a scalable target from an Amazon EC2 Spot fleet with a minimum target capacity of 1 and a maximum
# of 10.

resp = client.register_scalable_target({
  max_capacity: 10, 
  min_capacity: 1, 
  resource_id: "spot-fleet-request/sfr-45e69d8a-be48-4539-bbf3-3464e99c50c3", 
  scalable_dimension: "ec2:spot-fleet-request:TargetCapacity", 
  service_namespace: "ec2", 
})

resp.to_h outputs the following:
{
}

Request syntax with placeholder values


resp = client.register_scalable_target({
  service_namespace: "ecs", # required, accepts ecs, elasticmapreduce, ec2, appstream, dynamodb, rds, sagemaker, custom-resource, comprehend, lambda
  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, lambda:function:ProvisionedConcurrency
  min_capacity: 1,
  max_capacity: 1,
  role_arn: "ResourceIdMaxLen1600",
  suspended_state: {
    dynamic_scaling_in_suspended: false,
    dynamic_scaling_out_suspended: false,
    scheduled_scaling_suspended: false,
  },
})

Parameters:

  • params (Hash) (defaults to: {})

    ({})

Options Hash (params):

  • :service_namespace (required, 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.

  • :resource_id (required, String)

    The identifier of the resource that is 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 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.

    • 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.

  • :scalable_dimension (required, 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.

    • 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.

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

  • :min_capacity (Integer)

    The minimum value to scale to in response to a scale-in event. MinCapacity is required to register a scalable target.

  • :max_capacity (Integer)

    The maximum value to scale to in response to a scale-out event. MaxCapacity is required to register a scalable target.

  • :role_arn (String)

    Application Auto Scaling creates a service-linked role that grants it permissions to modify the scalable target on your behalf. For more information, see Service-Linked Roles for Application Auto Scaling.

    For Amazon EMR, this parameter is required, and it must specify the ARN of an IAM role that allows Application Auto Scaling to modify the scalable target on your behalf.

  • :suspended_state (Types::SuspendedState)

    An embedded object that contains attributes and attribute values that are used to suspend and resume automatic scaling. Setting the value of an attribute to true suspends the specified scaling activities. Setting it to false (default) resumes the specified scaling activities.

    Suspension Outcomes

    • For DynamicScalingInSuspended, while a suspension is in effect, all scale-in activities that are triggered by a scaling policy are suspended.

    • For DynamicScalingOutSuspended, while a suspension is in effect, all scale-out activities that are triggered by a scaling policy are suspended.

    • For ScheduledScalingSuspended, while a suspension is in effect, all scaling activities that involve scheduled actions are suspended.

    For more information, see Suspending and Resuming Scaling in the Application Auto Scaling User Guide.

Returns:

  • (Struct)

    Returns an empty response.

See Also:



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# File 'gems/aws-sdk-applicationautoscaling/lib/aws-sdk-applicationautoscaling/client.rb', line 2401

def register_scalable_target(params = {}, options = {})
  req = build_request(:register_scalable_target, params)
  req.send_request(options)
end