class Aws::ApplicationAutoScaling::Client

An API client for ApplicationAutoScaling. To construct a client, you need to configure a `:region` and `:credentials`.

client = Aws::ApplicationAutoScaling::Client.new(
  region: region_name,
  credentials: credentials,
  # ...
)

For details on configuring region and credentials see the [developer guide](/sdk-for-ruby/v3/developer-guide/setup-config.html).

See {#initialize} for a full list of supported configuration options.

Attributes

identifier[R]

@api private

Public Class Methods

errors_module() click to toggle source

@api private

# File lib/aws-sdk-applicationautoscaling/client.rb, line 2728
def errors_module
  Errors
end
new(*args) click to toggle source

@overload initialize(options)

@param [Hash] options
@option options [required, Aws::CredentialProvider] :credentials
  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::SharedCredentials` - Used for loading static credentials from a
    shared file, such as `~/.aws/config`.

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

  * `Aws::AssumeRoleWebIdentityCredentials` - Used when you need to
    assume a role after providing credentials via the web.

  * `Aws::SSOCredentials` - Used for loading credentials from AWS SSO using an
    access token generated from `aws login`.

  * `Aws::ProcessCredentials` - Used for loading credentials from a
    process that outputs to stdout.

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

  * `Aws::ECSCredentials` - Used for loading credentials from
    instances running in ECS.

  * `Aws::CognitoIdentityCredentials` - Used for loading credentials
    from the Cognito Identity service.

  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/ECS IMDS instance profile - When used by default, the timeouts
    are very aggressive. Construct and pass an instance of
    `Aws::InstanceProfileCredentails` or `Aws::ECSCredentials` to
    enable retries and extended timeouts.

@option options [required, String] :region
  The AWS region to connect to.  The configured `:region` is
  used to determine the service `:endpoint`. When not passed,
  a default `:region` is searched for in the following locations:

  * `Aws.config[:region]`
  * `ENV['AWS_REGION']`
  * `ENV['AMAZON_REGION']`
  * `ENV['AWS_DEFAULT_REGION']`
  * `~/.aws/credentials`
  * `~/.aws/config`

@option options [String] :access_key_id

@option options [Boolean] :active_endpoint_cache (false)
  When set to `true`, a thread polling for endpoints will be running in
  the background every 60 secs (default). Defaults to `false`.

@option options [Boolean] :adaptive_retry_wait_to_fill (true)
  Used only in `adaptive` retry mode.  When true, the request will sleep
  until there is sufficent client side capacity to retry the request.
  When false, the request will raise a `RetryCapacityNotAvailableError` and will
  not retry instead of sleeping.

@option options [Boolean] :client_side_monitoring (false)
  When `true`, client-side metrics will be collected for all API requests from
  this client.

@option options [String] :client_side_monitoring_client_id ("")
  Allows you to provide an identifier for this client which will be attached to
  all generated client side metrics. Defaults to an empty string.

@option options [String] :client_side_monitoring_host ("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.

@option options [Integer] :client_side_monitoring_port (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.

@option options [Aws::ClientSideMonitoring::Publisher] :client_side_monitoring_publisher (Aws::ClientSideMonitoring::Publisher)
  Allows you to provide a custom client-side monitoring publisher class. By default,
  will use the Client Side Monitoring Agent Publisher.

@option options [Boolean] :convert_params (true)
  When `true`, an attempt is made to coerce request parameters into
  the required types.

@option options [Boolean] :correct_clock_skew (true)
  Used only in `standard` and adaptive retry modes. Specifies whether to apply
  a clock skew correction and retry requests with skewed client clocks.

@option options [Boolean] :disable_host_prefix_injection (false)
  Set to true to disable SDK automatically adding host prefix
  to default service endpoint when available.

@option options [String] :endpoint
  The client endpoint is normally constructed from the `:region`
  option. You should only configure an `:endpoint` when connecting
  to test or custom endpoints. This should be a valid HTTP(S) URI.

@option options [Integer] :endpoint_cache_max_entries (1000)
  Used for the maximum size limit of the LRU cache storing endpoints data
  for endpoint discovery enabled operations. Defaults to 1000.

@option options [Integer] :endpoint_cache_max_threads (10)
  Used for the maximum threads in use for polling endpoints to be cached, defaults to 10.

@option options [Integer] :endpoint_cache_poll_interval (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.

@option options [Boolean] :endpoint_discovery (false)
  When set to `true`, endpoint discovery will be enabled for operations when available.

@option options [Aws::Log::Formatter] :log_formatter (Aws::Log::Formatter.default)
  The log formatter.

@option options [Symbol] :log_level (:info)
  The log level to send messages to the `:logger` at.

@option options [Logger] :logger
  The Logger instance to send log messages to.  If this option
  is not set, logging will be disabled.

@option options [Integer] :max_attempts (3)
  An integer representing the maximum number attempts that will be made for
  a single request, including the initial attempt.  For example,
  setting this value to 5 will result in a request being retried up to
  4 times. Used in `standard` and `adaptive` retry modes.

@option options [String] :profile ("default")
  Used when loading credentials from the shared credentials file
  at HOME/.aws/credentials.  When not specified, 'default' is used.

@option options [Proc] :retry_backoff
  A proc or lambda used for backoff. Defaults to 2**retries * retry_base_delay.
  This option is only used in the `legacy` retry mode.

@option options [Float] :retry_base_delay (0.3)
  The base delay in seconds used by the default backoff function. This option
  is only used in the `legacy` retry mode.

@option options [Symbol] :retry_jitter (: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. This option is only used
  in the `legacy` retry mode.

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

@option options [Integer] :retry_limit (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, auth errors,
  endpoint discovery, and errors from expired credentials.
  This option is only used in the `legacy` retry mode.

@option options [Integer] :retry_max_delay (0)
  The maximum number of seconds to delay between retries (0 for no limit)
  used by the default backoff function. This option is only used in the
  `legacy` retry mode.

@option options [String] :retry_mode ("legacy")
  Specifies which retry algorithm to use. Values are:

  * `legacy` - The pre-existing retry behavior.  This is default value if
    no retry mode is provided.

  * `standard` - A standardized set of retry rules across the AWS SDKs.
    This includes support for retry quotas, which limit the number of
    unsuccessful retries a client can make.

  * `adaptive` - An experimental retry mode that includes all the
    functionality of `standard` mode along with automatic client side
    throttling.  This is a provisional mode that may change behavior
    in the future.

@option options [String] :secret_access_key

@option options [String] :session_token

@option options [Boolean] :simple_json (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.

@option options [Boolean] :stub_responses (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.

@option options [Boolean] :validate_params (true)
  When `true`, request parameters are validated before
  sending the request.

@option options [URI::HTTP,String] :http_proxy A proxy to send
  requests through.  Formatted like 'http://proxy.com:123'.

@option options [Float] :http_open_timeout (15) The number of
  seconds to wait when opening a HTTP session before raising a
  `Timeout::Error`.

@option options [Integer] :http_read_timeout (60) The default
  number of seconds to wait for response data.  This value can
  safely be set per-request on the session.

@option options [Float] :http_idle_timeout (5) The number of
  seconds a connection is allowed to sit idle before it is
  considered stale.  Stale connections are closed and removed
  from the pool before making a request.

@option options [Float] :http_continue_timeout (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.

@option options [Boolean] :http_wire_trace (false) When `true`,
  HTTP debug output will be sent to the `:logger`.

@option options [Boolean] :ssl_verify_peer (true) When `true`,
  SSL peer certificates are verified when establishing a
  connection.

@option options [String] :ssl_ca_bundle 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.

@option options [String] :ssl_ca_directory 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.
Calls superclass method
# File lib/aws-sdk-applicationautoscaling/client.rb, line 334
def initialize(*args)
  super
end

Public Instance Methods

build_request(operation_name, params = {}) click to toggle source

@param params ({}) @api private

# File lib/aws-sdk-applicationautoscaling/client.rb, line 2703
def build_request(operation_name, params = {})
  handlers = @handlers.for(operation_name)
  context = Seahorse::Client::RequestContext.new(
    operation_name: operation_name,
    operation: config.api.operation(operation_name),
    client: self,
    params: params,
    config: config)
  context[:gem_name] = 'aws-sdk-applicationautoscaling'
  context[:gem_version] = '1.55.0'
  Seahorse::Client::Request.new(handlers, context)
end
delete_scaling_policy(params = {}, options = {}) click to toggle source

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][2

in the *Application Auto

Scaling User Guide*.

[1]: docs.aws.amazon.com/autoscaling/application/userguide/application-auto-scaling-step-scaling-policies.html#delete-step-scaling-policy [2]: docs.aws.amazon.com/autoscaling/application/userguide/application-auto-scaling-target-tracking.html#delete-target-tracking-policy

@option params [required, String] :policy_name

The name of the scaling policy.

@option params [required, String] :service_namespace

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

@option params [required, String] :resource_id

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][1].

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

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

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

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

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

* Amazon ElastiCache replication group - The resource type is
  `replication-group` and the unique identifier is the replication
  group name. Example: `replication-group/mycluster`.

[1]: https://github.com/aws/aws-auto-scaling-custom-resource

@option params [required, String] :scalable_dimension

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.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

* `elasticache:replication-group:NodeGroups` - The number of node
  groups for an Amazon ElastiCache replication group.

* `elasticache:replication-group:Replicas` - The number of replicas
  per node group for an Amazon ElastiCache replication group.

@return [Struct] Returns an empty {Seahorse::Client::Response response}.

@example 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:
{
}

@example 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, cassandra, kafka, elasticache
  resource_id: "ResourceIdMaxLen1600", # required
  scalable_dimension: "ecs:service:DesiredCount", # required, accepts ecs:service:DesiredCount, ec2:spot-fleet-request:TargetCapacity, elasticmapreduce:instancegroup:InstanceCount, appstream:fleet:DesiredCapacity, dynamodb:table:ReadCapacityUnits, dynamodb:table:WriteCapacityUnits, dynamodb:index:ReadCapacityUnits, dynamodb:index:WriteCapacityUnits, rds:cluster:ReadReplicaCount, sagemaker:variant:DesiredInstanceCount, custom-resource:ResourceType:Property, comprehend:document-classifier-endpoint:DesiredInferenceUnits, comprehend:entity-recognizer-endpoint:DesiredInferenceUnits, lambda:function:ProvisionedConcurrency, cassandra:table:ReadCapacityUnits, cassandra:table:WriteCapacityUnits, kafka:broker-storage:VolumeSize, elasticache:replication-group:NodeGroups, elasticache:replication-group:Replicas
})

@see docs.aws.amazon.com/goto/WebAPI/application-autoscaling-2016-02-06/DeleteScalingPolicy AWS API Documentation

@overload delete_scaling_policy(params = {}) @param [Hash] params ({})

# File lib/aws-sdk-applicationautoscaling/client.rb, line 529
def delete_scaling_policy(params = {}, options = {})
  req = build_request(:delete_scaling_policy, params)
  req.send_request(options)
end
delete_scheduled_action(params = {}, options = {}) click to toggle source

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*.

[1]: docs.aws.amazon.com/autoscaling/application/userguide/scheduled-scaling-additional-cli-commands.html#delete-scheduled-action

@option params [required, String] :service_namespace

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

@option params [required, String] :scheduled_action_name

The name of the scheduled action.

@option params [required, String] :resource_id

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][1].

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

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

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

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

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

* Amazon ElastiCache replication group - The resource type is
  `replication-group` and the unique identifier is the replication
  group name. Example: `replication-group/mycluster`.

[1]: https://github.com/aws/aws-auto-scaling-custom-resource

@option params [required, String] :scalable_dimension

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.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

* `elasticache:replication-group:NodeGroups` - The number of node
  groups for an Amazon ElastiCache replication group.

* `elasticache:replication-group:Replicas` - The number of replicas
  per node group for an Amazon ElastiCache replication group.

@return [Struct] Returns an empty {Seahorse::Client::Response response}.

@example 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, cassandra, kafka, elasticache
  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, comprehend:entity-recognizer-endpoint:DesiredInferenceUnits, lambda:function:ProvisionedConcurrency, cassandra:table:ReadCapacityUnits, cassandra:table:WriteCapacityUnits, kafka:broker-storage:VolumeSize, elasticache:replication-group:NodeGroups, elasticache:replication-group:Replicas
})

@see docs.aws.amazon.com/goto/WebAPI/application-autoscaling-2016-02-06/DeleteScheduledAction AWS API Documentation

@overload delete_scheduled_action(params = {}) @param [Hash] params ({})

# File lib/aws-sdk-applicationautoscaling/client.rb, line 700
def delete_scheduled_action(params = {}, options = {})
  req = build_request(:delete_scheduled_action, params)
  req.send_request(options)
end
deregister_scalable_target(params = {}, options = {}) click to toggle source

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

<note markdown=“1”> Deregistering a scalable target deletes the scaling policies and the scheduled actions that are associated with it.

</note>

[1]: docs.aws.amazon.com/autoscaling/application/APIReference/API_DescribeScalableTargets.html

@option params [required, String] :service_namespace

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

@option params [required, String] :resource_id

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][1].

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

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

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

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

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

* Amazon ElastiCache replication group - The resource type is
  `replication-group` and the unique identifier is the replication
  group name. Example: `replication-group/mycluster`.

[1]: https://github.com/aws/aws-auto-scaling-custom-resource

@option params [required, String] :scalable_dimension

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

* `elasticache:replication-group:NodeGroups` - The number of node
  groups for an Amazon ElastiCache replication group.

* `elasticache:replication-group:Replicas` - The number of replicas
  per node group for an Amazon ElastiCache replication group.

@return [Struct] Returns an empty {Seahorse::Client::Response response}.

@example 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:
{
}

@example 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, cassandra, kafka, elasticache
  resource_id: "ResourceIdMaxLen1600", # required
  scalable_dimension: "ecs:service:DesiredCount", # required, accepts ecs:service:DesiredCount, ec2:spot-fleet-request:TargetCapacity, elasticmapreduce:instancegroup:InstanceCount, appstream:fleet:DesiredCapacity, dynamodb:table:ReadCapacityUnits, dynamodb:table:WriteCapacityUnits, dynamodb:index:ReadCapacityUnits, dynamodb:index:WriteCapacityUnits, rds:cluster:ReadReplicaCount, sagemaker:variant:DesiredInstanceCount, custom-resource:ResourceType:Property, comprehend:document-classifier-endpoint:DesiredInferenceUnits, comprehend:entity-recognizer-endpoint:DesiredInferenceUnits, lambda:function:ProvisionedConcurrency, cassandra:table:ReadCapacityUnits, cassandra:table:WriteCapacityUnits, kafka:broker-storage:VolumeSize, elasticache:replication-group:NodeGroups, elasticache:replication-group:Replicas
})

@see docs.aws.amazon.com/goto/WebAPI/application-autoscaling-2016-02-06/DeregisterScalableTarget AWS API Documentation

@overload deregister_scalable_target(params = {}) @param [Hash] params ({})

# File lib/aws-sdk-applicationautoscaling/client.rb, line 887
def deregister_scalable_target(params = {}, options = {})
  req = build_request(:deregister_scalable_target, params)
  req.send_request(options)
end
describe_scalable_targets(params = {}, options = {}) click to toggle source

Gets information about the scalable targets in the specified namespace.

You can filter the results using `ResourceIds` and `ScalableDimension`.

@option params [required, String] :service_namespace

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

@option params [Array<String>] :resource_ids

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][1].

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

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

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

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

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

* Amazon ElastiCache replication group - The resource type is
  `replication-group` and the unique identifier is the replication
  group name. Example: `replication-group/mycluster`.

[1]: https://github.com/aws/aws-auto-scaling-custom-resource

@option params [String] :scalable_dimension

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.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

* `elasticache:replication-group:NodeGroups` - The number of node
  groups for an Amazon ElastiCache replication group.

* `elasticache:replication-group:Replicas` - The number of replicas
  per node group for an Amazon ElastiCache replication group.

@option params [Integer] :max_results

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.

@option params [String] :next_token

The token for the next set of results.

@return [Types::DescribeScalableTargetsResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods:

* {Types::DescribeScalableTargetsResponse#scalable_targets #scalable_targets} => Array&lt;Types::ScalableTarget&gt;
* {Types::DescribeScalableTargetsResponse#next_token #next_token} => String

The returned {Seahorse::Client::Response response} is a pageable response and is Enumerable. For details on usage see {Aws::PageableResponse PageableResponse}.

@example 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("2019-05-06T11:21:46.199Z"), 
      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, 
      }, 
    }, 
  ], 
}

@example 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, cassandra, kafka, elasticache
  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, comprehend:entity-recognizer-endpoint:DesiredInferenceUnits, lambda:function:ProvisionedConcurrency, cassandra:table:ReadCapacityUnits, cassandra:table:WriteCapacityUnits, kafka:broker-storage:VolumeSize, elasticache:replication-group:NodeGroups, elasticache:replication-group:Replicas
  max_results: 1,
  next_token: "XmlString",
})

@example 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", "cassandra", "kafka", "elasticache"
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", "comprehend:entity-recognizer-endpoint:DesiredInferenceUnits", "lambda:function:ProvisionedConcurrency", "cassandra:table:ReadCapacityUnits", "cassandra:table:WriteCapacityUnits", "kafka:broker-storage:VolumeSize", "elasticache:replication-group:NodeGroups", "elasticache:replication-group:Replicas"
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

@see docs.aws.amazon.com/goto/WebAPI/application-autoscaling-2016-02-06/DescribeScalableTargets AWS API Documentation

@overload describe_scalable_targets(params = {}) @param [Hash] params ({})

# File lib/aws-sdk-applicationautoscaling/client.rb, line 1116
def describe_scalable_targets(params = {}, options = {})
  req = build_request(:describe_scalable_targets, params)
  req.send_request(options)
end
describe_scaling_activities(params = {}, options = {}) click to toggle source

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`.

@option params [required, String] :service_namespace

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

@option params [String] :resource_id

The identifier of the resource associated with the scaling activity.
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][1].

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

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

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

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

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

* Amazon ElastiCache replication group - The resource type is
  `replication-group` and the unique identifier is the replication
  group name. Example: `replication-group/mycluster`.

[1]: https://github.com/aws/aws-auto-scaling-custom-resource

@option params [String] :scalable_dimension

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.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

* `elasticache:replication-group:NodeGroups` - The number of node
  groups for an Amazon ElastiCache replication group.

* `elasticache:replication-group:Replicas` - The number of replicas
  per node group for an Amazon ElastiCache replication group.

@option params [Integer] :max_results

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.

@option params [String] :next_token

The token for the next set of results.

@return [Types::DescribeScalingActivitiesResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods:

* {Types::DescribeScalingActivitiesResponse#scaling_activities #scaling_activities} => Array&lt;Types::ScalingActivity&gt;
* {Types::DescribeScalingActivitiesResponse#next_token #next_token} => String

The returned {Seahorse::Client::Response response} is a pageable response and is Enumerable. For details on usage see {Aws::PageableResponse PageableResponse}.

@example 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("2019-05-06T16:04:32.111Z"), 
      resource_id: "service/default/web-app", 
      scalable_dimension: "ecs:service:DesiredCount", 
      service_namespace: "ecs", 
      start_time: Time.parse("2019-05-06T16:03:58.171Z"), 
      status_code: "Successful", 
      status_message: "Successfully set desired count to 1. Change successfully fulfilled by ecs.", 
    }, 
  ], 
}

@example 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, cassandra, kafka, elasticache
  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, comprehend:entity-recognizer-endpoint:DesiredInferenceUnits, lambda:function:ProvisionedConcurrency, cassandra:table:ReadCapacityUnits, cassandra:table:WriteCapacityUnits, kafka:broker-storage:VolumeSize, elasticache:replication-group:NodeGroups, elasticache:replication-group:Replicas
  max_results: 1,
  next_token: "XmlString",
})

@example 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", "cassandra", "kafka", "elasticache"
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", "comprehend:entity-recognizer-endpoint:DesiredInferenceUnits", "lambda:function:ProvisionedConcurrency", "cassandra:table:ReadCapacityUnits", "cassandra:table:WriteCapacityUnits", "kafka:broker-storage:VolumeSize", "elasticache:replication-group:NodeGroups", "elasticache:replication-group:Replicas"
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

@see docs.aws.amazon.com/goto/WebAPI/application-autoscaling-2016-02-06/DescribeScalingActivities AWS API Documentation

@overload describe_scaling_activities(params = {}) @param [Hash] params ({})

# File lib/aws-sdk-applicationautoscaling/client.rb, line 1345
def describe_scaling_activities(params = {}, options = {})
  req = build_request(:describe_scaling_activities, params)
  req.send_request(options)
end
describe_scaling_policies(params = {}, options = {}) click to toggle source

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

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

For more information, see [Target tracking scaling policies] and

Step scaling policies][2

in the *Application Auto Scaling User

Guide*.

[1]: docs.aws.amazon.com/autoscaling/application/userguide/application-auto-scaling-target-tracking.html [2]: docs.aws.amazon.com/autoscaling/application/userguide/application-auto-scaling-step-scaling-policies.html

@option params [Array<String>] :policy_names

The names of the scaling policies to describe.

@option params [required, String] :service_namespace

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

@option params [String] :resource_id

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][1].

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

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

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

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

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

* Amazon ElastiCache replication group - The resource type is
  `replication-group` and the unique identifier is the replication
  group name. Example: `replication-group/mycluster`.

[1]: https://github.com/aws/aws-auto-scaling-custom-resource

@option params [String] :scalable_dimension

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.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

* `elasticache:replication-group:NodeGroups` - The number of node
  groups for an Amazon ElastiCache replication group.

* `elasticache:replication-group:Replicas` - The number of replicas
  per node group for an Amazon ElastiCache replication group.

@option params [Integer] :max_results

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.

@option params [String] :next_token

The token for the next set of results.

@return [Types::DescribeScalingPoliciesResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods:

* {Types::DescribeScalingPoliciesResponse#scaling_policies #scaling_policies} => Array&lt;Types::ScalingPolicy&gt;
* {Types::DescribeScalingPoliciesResponse#next_token #next_token} => String

The returned {Seahorse::Client::Response response} is a pageable response and is Enumerable. For details on usage see {Aws::PageableResponse PageableResponse}.

@example 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("2019-05-06T12:11:39.230Z"), 
      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, 
          }, 
        ], 
      }, 
    }, 
  ], 
}

@example 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, cassandra, kafka, elasticache
  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, comprehend:entity-recognizer-endpoint:DesiredInferenceUnits, lambda:function:ProvisionedConcurrency, cassandra:table:ReadCapacityUnits, cassandra:table:WriteCapacityUnits, kafka:broker-storage:VolumeSize, elasticache:replication-group:NodeGroups, elasticache:replication-group:Replicas
  max_results: 1,
  next_token: "XmlString",
})

@example 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", "cassandra", "kafka", "elasticache"
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", "comprehend:entity-recognizer-endpoint:DesiredInferenceUnits", "lambda:function:ProvisionedConcurrency", "cassandra:table:ReadCapacityUnits", "cassandra:table:WriteCapacityUnits", "kafka:broker-storage:VolumeSize", "elasticache:replication-group:NodeGroups", "elasticache:replication-group:Replicas"
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", "CassandraReadCapacityUtilization", "CassandraWriteCapacityUtilization", "KafkaBrokerStorageUtilization", "ElastiCachePrimaryEngineCPUUtilization", "ElastiCacheReplicaEngineCPUUtilization", "ElastiCacheDatabaseMemoryUsageCountedForEvictPercentage"
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

@see docs.aws.amazon.com/goto/WebAPI/application-autoscaling-2016-02-06/DescribeScalingPolicies AWS API Documentation

@overload describe_scaling_policies(params = {}) @param [Hash] params ({})

# File lib/aws-sdk-applicationautoscaling/client.rb, line 1619
def describe_scaling_policies(params = {}, options = {})
  req = build_request(:describe_scaling_policies, params)
  req.send_request(options)
end
describe_scheduled_actions(params = {}, options = {}) click to toggle source

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

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

For more information, see [Scheduled scaling] and [Managing scheduled scaling] in the *Application Auto Scaling User Guide*.

[1]: docs.aws.amazon.com/autoscaling/application/userguide/application-auto-scaling-scheduled-scaling.html [2]: docs.aws.amazon.com/autoscaling/application/userguide/scheduled-scaling-additional-cli-commands.html

@option params [Array<String>] :scheduled_action_names

The names of the scheduled actions to describe.

@option params [required, String] :service_namespace

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

@option params [String] :resource_id

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][1].

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

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

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

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

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

* Amazon ElastiCache replication group - The resource type is
  `replication-group` and the unique identifier is the replication
  group name. Example: `replication-group/mycluster`.

[1]: https://github.com/aws/aws-auto-scaling-custom-resource

@option params [String] :scalable_dimension

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.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

* `elasticache:replication-group:NodeGroups` - The number of node
  groups for an Amazon ElastiCache replication group.

* `elasticache:replication-group:Replicas` - The number of replicas
  per node group for an Amazon ElastiCache replication group.

@option params [Integer] :max_results

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.

@option params [String] :next_token

The token for the next set of results.

@return [Types::DescribeScheduledActionsResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods:

* {Types::DescribeScheduledActionsResponse#scheduled_actions #scheduled_actions} => Array&lt;Types::ScheduledAction&gt;
* {Types::DescribeScheduledActionsResponse#next_token #next_token} => String

The returned {Seahorse::Client::Response response} is a pageable response and is Enumerable. For details on usage see {Aws::PageableResponse PageableResponse}.

@example 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, cassandra, kafka, elasticache
  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, comprehend:entity-recognizer-endpoint:DesiredInferenceUnits, lambda:function:ProvisionedConcurrency, cassandra:table:ReadCapacityUnits, cassandra:table:WriteCapacityUnits, kafka:broker-storage:VolumeSize, elasticache:replication-group:NodeGroups, elasticache:replication-group:Replicas
  max_results: 1,
  next_token: "XmlString",
})

@example 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", "cassandra", "kafka", "elasticache"
resp.scheduled_actions[0].schedule #=> String
resp.scheduled_actions[0].timezone #=> 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", "comprehend:entity-recognizer-endpoint:DesiredInferenceUnits", "lambda:function:ProvisionedConcurrency", "cassandra:table:ReadCapacityUnits", "cassandra:table:WriteCapacityUnits", "kafka:broker-storage:VolumeSize", "elasticache:replication-group:NodeGroups", "elasticache:replication-group:Replicas"
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

@see docs.aws.amazon.com/goto/WebAPI/application-autoscaling-2016-02-06/DescribeScheduledActions AWS API Documentation

@overload describe_scheduled_actions(params = {}) @param [Hash] params ({})

# File lib/aws-sdk-applicationautoscaling/client.rb, line 1832
def describe_scheduled_actions(params = {}, options = {})
  req = build_request(:describe_scheduled_actions, params)
  req.send_request(options)
end
put_scaling_policy(params = {}, options = {}) click to toggle source

Creates or updates a scaling 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.

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.

We recommend caution, however, when using target tracking scaling policies with step scaling policies because conflicts between these policies can cause undesirable behavior. For example, if the step scaling policy initiates a scale-in activity before the target tracking policy is ready to scale in, the scale-in activity will not be blocked. After the scale-in activity completes, the target tracking policy could instruct the scalable target to scale out again.

For more information, see [Target tracking scaling policies] and

Step scaling policies][2

in the *Application Auto Scaling User

Guide*.

<note markdown=“1”> If a scalable target is deregistered, the scalable target is no longer available to execute scaling policies. Any scaling policies that were specified for the scalable target are deleted.

</note>

[1]: docs.aws.amazon.com/autoscaling/application/userguide/application-auto-scaling-target-tracking.html [2]: docs.aws.amazon.com/autoscaling/application/userguide/application-auto-scaling-step-scaling-policies.html

@option params [required, String] :policy_name

The name of the scaling policy.

@option params [required, String] :service_namespace

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

@option params [required, String] :resource_id

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][1].

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

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

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

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

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

* Amazon ElastiCache replication group - The resource type is
  `replication-group` and the unique identifier is the replication
  group name. Example: `replication-group/mycluster`.

[1]: https://github.com/aws/aws-auto-scaling-custom-resource

@option params [required, String] :scalable_dimension

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.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

* `elasticache:replication-group:NodeGroups` - The number of node
  groups for an Amazon ElastiCache replication group.

* `elasticache:replication-group:Replicas` - The number of replicas
  per node group for an Amazon ElastiCache replication group.

@option params [String] :policy_type

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

The following policy types are supported:

`TargetTrackingScaling`—Not supported for Amazon EMR

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

For more information, see [Target tracking scaling policies][1] and
[Step scaling policies][2] in the *Application Auto Scaling User
Guide*.

[1]: https://docs.aws.amazon.com/autoscaling/application/userguide/application-auto-scaling-target-tracking.html
[2]: https://docs.aws.amazon.com/autoscaling/application/userguide/application-auto-scaling-step-scaling-policies.html

@option params [Types::StepScalingPolicyConfiguration] :step_scaling_policy_configuration

A step scaling policy.

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

@option params [Types::TargetTrackingScalingPolicyConfiguration] :target_tracking_scaling_policy_configuration

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`.

@return [Types::PutScalingPolicyResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods:

* {Types::PutScalingPolicyResponse#policy_arn #policy_arn} => String
* {Types::PutScalingPolicyResponse#alarms #alarms} => Array&lt;Types::Alarm&gt;

@example 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 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, cassandra, kafka, elasticache
  resource_id: "ResourceIdMaxLen1600", # required
  scalable_dimension: "ecs:service:DesiredCount", # required, accepts ecs:service:DesiredCount, ec2:spot-fleet-request:TargetCapacity, elasticmapreduce:instancegroup:InstanceCount, appstream:fleet:DesiredCapacity, dynamodb:table:ReadCapacityUnits, dynamodb:table:WriteCapacityUnits, dynamodb:index:ReadCapacityUnits, dynamodb:index:WriteCapacityUnits, rds:cluster:ReadReplicaCount, sagemaker:variant:DesiredInstanceCount, custom-resource:ResourceType:Property, comprehend:document-classifier-endpoint:DesiredInferenceUnits, comprehend:entity-recognizer-endpoint:DesiredInferenceUnits, lambda:function:ProvisionedConcurrency, cassandra:table:ReadCapacityUnits, cassandra:table:WriteCapacityUnits, kafka:broker-storage:VolumeSize, elasticache:replication-group:NodeGroups, elasticache:replication-group:Replicas
  policy_type: "StepScaling", # accepts StepScaling, TargetTrackingScaling
  step_scaling_policy_configuration: {
    adjustment_type: "ChangeInCapacity", # accepts ChangeInCapacity, PercentChangeInCapacity, ExactCapacity
    step_adjustments: [
      {
        metric_interval_lower_bound: 1.0,
        metric_interval_upper_bound: 1.0,
        scaling_adjustment: 1, # required
      },
    ],
    min_adjustment_magnitude: 1,
    cooldown: 1,
    metric_aggregation_type: "Average", # accepts Average, Minimum, Maximum
  },
  target_tracking_scaling_policy_configuration: {
    target_value: 1.0, # required
    predefined_metric_specification: {
      predefined_metric_type: "DynamoDBReadCapacityUtilization", # required, accepts DynamoDBReadCapacityUtilization, DynamoDBWriteCapacityUtilization, ALBRequestCountPerTarget, RDSReaderAverageCPUUtilization, RDSReaderAverageDatabaseConnections, EC2SpotFleetRequestAverageCPUUtilization, EC2SpotFleetRequestAverageNetworkIn, EC2SpotFleetRequestAverageNetworkOut, SageMakerVariantInvocationsPerInstance, ECSServiceAverageCPUUtilization, ECSServiceAverageMemoryUtilization, AppStreamAverageCapacityUtilization, ComprehendInferenceUtilization, LambdaProvisionedConcurrencyUtilization, CassandraReadCapacityUtilization, CassandraWriteCapacityUtilization, KafkaBrokerStorageUtilization, ElastiCachePrimaryEngineCPUUtilization, ElastiCacheReplicaEngineCPUUtilization, ElastiCacheDatabaseMemoryUsageCountedForEvictPercentage
      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,
  },
})

@example Response structure

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

@see docs.aws.amazon.com/goto/WebAPI/application-autoscaling-2016-02-06/PutScalingPolicy AWS API Documentation

@overload put_scaling_policy(params = {}) @param [Hash] params ({})

# File lib/aws-sdk-applicationautoscaling/client.rb, line 2155
def put_scaling_policy(params = {}, options = {})
  req = build_request(:put_scaling_policy, params)
  req.send_request(options)
end
put_scheduled_action(params = {}, options = {}) click to toggle source

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.

When start and end times are specified with a recurring schedule using a cron expression or rates, they form the boundaries for when the recurring action starts and stops.

To update a scheduled action, specify the parameters that you want to change. If you don't specify start and end times, the old values are deleted.

For more information, see [Scheduled scaling] in the *Application Auto Scaling User Guide*.

<note markdown=“1”> If a scalable target is deregistered, the scalable target is no longer available to run scheduled actions. Any scheduled actions that were specified for the scalable target are deleted.

</note>

[1]: docs.aws.amazon.com/autoscaling/application/userguide/application-auto-scaling-scheduled-scaling.html

@option params [required, String] :service_namespace

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

@option params [String] :schedule

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. Cron expressions are
useful for scheduled actions that run periodically at a specified date
and time, and rate expressions are useful for scheduled actions that
run at a regular interval.

At and cron expressions use Universal Coordinated Time (UTC) by
default.

The cron format consists of six fields separated by white spaces:
\[Minutes\] \[Hours\] \[Day\_of\_Month\] \[Month\] \[Day\_of\_Week\]
\[Year\].

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

For more information and examples, see [Example scheduled actions for
Application Auto Scaling][1] in the *Application Auto Scaling User
Guide*.

[1]: https://docs.aws.amazon.com/autoscaling/application/userguide/examples-scheduled-actions.html

@option params [String] :timezone

Specifies the time zone used when setting a scheduled action by using
an at or cron expression. If a time zone is not provided, UTC is used
by default.

Valid values are the canonical names of the IANA time zones supported
by Joda-Time (such as `Etc/GMT+9` or `Pacific/Tahiti`). For more
information, see [https://www.joda.org/joda-time/timezones.html][1].

[1]: https://www.joda.org/joda-time/timezones.html

@option params [required, String] :scheduled_action_name

The name of the scheduled action. This name must be unique among all
other scheduled actions on the specified scalable target.

@option params [required, String] :resource_id

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][1].

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

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

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

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

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

* Amazon ElastiCache replication group - The resource type is
  `replication-group` and the unique identifier is the replication
  group name. Example: `replication-group/mycluster`.

[1]: https://github.com/aws/aws-auto-scaling-custom-resource

@option params [required, String] :scalable_dimension

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.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

* `elasticache:replication-group:NodeGroups` - The number of node
  groups for an Amazon ElastiCache replication group.

* `elasticache:replication-group:Replicas` - The number of replicas
  per node group for an Amazon ElastiCache replication group.

@option params [Time,DateTime,Date,Integer,String] :start_time

The date and time for this scheduled action to start, in UTC.

@option params [Time,DateTime,Date,Integer,String] :end_time

The date and time for the recurring schedule to end, in UTC.

@option params [Types::ScalableTargetAction] :scalable_target_action

The new minimum and maximum capacity. You can set both values or just
one. At 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.

@return [Struct] Returns an empty {Seahorse::Client::Response response}.

@example 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, cassandra, kafka, elasticache
  schedule: "ResourceIdMaxLen1600",
  timezone: "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, comprehend:entity-recognizer-endpoint:DesiredInferenceUnits, lambda:function:ProvisionedConcurrency, cassandra:table:ReadCapacityUnits, cassandra:table:WriteCapacityUnits, kafka:broker-storage:VolumeSize, elasticache:replication-group:NodeGroups, elasticache:replication-group:Replicas
  start_time: Time.now,
  end_time: Time.now,
  scalable_target_action: {
    min_capacity: 1,
    max_capacity: 1,
  },
})

@see docs.aws.amazon.com/goto/WebAPI/application-autoscaling-2016-02-06/PutScheduledAction AWS API Documentation

@overload put_scheduled_action(params = {}) @param [Hash] params ({})

# File lib/aws-sdk-applicationautoscaling/client.rb, line 2413
def put_scheduled_action(params = {}, options = {})
  req = build_request(:put_scheduled_action, params)
  req.send_request(options)
end
register_scalable_target(params = {}, options = {}) click to toggle source

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. Current capacity will be adjusted within the specified range when scaling starts. Application Auto Scaling scaling policies will not scale capacity to values that are outside of this range.

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].

To update a scalable target, specify the parameters that you want to change. Include the 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.

[1]: docs.aws.amazon.com/autoscaling/application/APIReference/API_DescribeScalableTargets.html [2]: docs.aws.amazon.com/autoscaling/application/APIReference/API_DeregisterScalableTarget.html

@option params [required, String] :service_namespace

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

@option params [required, String] :resource_id

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][1].

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

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

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

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

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

* Amazon ElastiCache replication group - The resource type is
  `replication-group` and the unique identifier is the replication
  group name. Example: `replication-group/mycluster`.

[1]: https://github.com/aws/aws-auto-scaling-custom-resource

@option params [required, String] :scalable_dimension

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

* `elasticache:replication-group:NodeGroups` - The number of node
  groups for an Amazon ElastiCache replication group.

* `elasticache:replication-group:Replicas` - The number of replicas
  per node group for an Amazon ElastiCache replication group.

@option params [Integer] :min_capacity

The minimum value that you plan to scale in to. When a scaling policy
is in effect, Application Auto Scaling can scale in (contract) as
needed to the minimum capacity limit in response to changing demand.
This property is required when registering a new scalable target.

For certain resources, the minimum value allowed is 0. This includes
Lambda provisioned concurrency, Spot Fleet, ECS services, Aurora DB
clusters, EMR clusters, and custom resources. For all other resources,
the minimum value allowed is 1.

@option params [Integer] :max_capacity

The maximum value that you plan to scale out to. When a scaling policy
is in effect, Application Auto Scaling can scale out (expand) as
needed to the maximum capacity limit in response to changing demand.
This property is required when registering a new scalable target.

Although you can specify a large maximum capacity, note that service
quotas may impose lower limits. Each service has its own default
quotas for the maximum capacity of the resource. If you want to
specify a higher limit, you can request an increase. For more
information, consult the documentation for that service. For
information about the default quotas for each service, see [Service
Endpoints and Quotas][1] in the *Amazon Web Services General
Reference*.

[1]: https://docs.aws.amazon.com/general/latest/gr/aws-service-information.html

@option params [String] :role_arn

This parameter is required for services that do not support
service-linked roles (such as Amazon EMR), and it must specify the ARN
of an IAM role that allows Application Auto Scaling to modify the
scalable target on your behalf.

If the service supports service-linked roles, Application Auto Scaling
uses a service-linked role, which it creates if it does not yet exist.
For more information, see [Application Auto Scaling IAM roles][1].

[1]: https://docs.aws.amazon.com/autoscaling/application/userguide/security_iam_service-with-iam.html#security_iam_service-with-iam-roles

@option params [Types::SuspendedState] :suspended_state

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][1] in the
*Application Auto Scaling User Guide*.

[1]: https://docs.aws.amazon.com/autoscaling/application/userguide/application-auto-scaling-suspend-resume-scaling.html

@return [Struct] Returns an empty {Seahorse::Client::Response response}.

@example 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 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, cassandra, kafka, elasticache
  resource_id: "ResourceIdMaxLen1600", # required
  scalable_dimension: "ecs:service:DesiredCount", # required, accepts ecs:service:DesiredCount, ec2:spot-fleet-request:TargetCapacity, elasticmapreduce:instancegroup:InstanceCount, appstream:fleet:DesiredCapacity, dynamodb:table:ReadCapacityUnits, dynamodb:table:WriteCapacityUnits, dynamodb:index:ReadCapacityUnits, dynamodb:index:WriteCapacityUnits, rds:cluster:ReadReplicaCount, sagemaker:variant:DesiredInstanceCount, custom-resource:ResourceType:Property, comprehend:document-classifier-endpoint:DesiredInferenceUnits, comprehend:entity-recognizer-endpoint:DesiredInferenceUnits, lambda:function:ProvisionedConcurrency, cassandra:table:ReadCapacityUnits, cassandra:table:WriteCapacityUnits, kafka:broker-storage:VolumeSize, elasticache:replication-group:NodeGroups, elasticache:replication-group:Replicas
  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,
  },
})

@see docs.aws.amazon.com/goto/WebAPI/application-autoscaling-2016-02-06/RegisterScalableTarget AWS API Documentation

@overload register_scalable_target(params = {}) @param [Hash] params ({})

# File lib/aws-sdk-applicationautoscaling/client.rb, line 2694
def register_scalable_target(params = {}, options = {})
  req = build_request(:register_scalable_target, params)
  req.send_request(options)
end
waiter_names() click to toggle source

@api private @deprecated

# File lib/aws-sdk-applicationautoscaling/client.rb, line 2718
def waiter_names
  []
end