# frozen_string_literal: true # WARNING ABOUT GENERATED CODE # # This file is generated. See the contributing guide for more information: # https://github.com/aws/aws-sdk-ruby/blob/version-3/CONTRIBUTING.md # # WARNING ABOUT GENERATED CODE require 'seahorse/client/plugins/content_length.rb' require 'aws-sdk-core/plugins/credentials_configuration.rb' require 'aws-sdk-core/plugins/logging.rb' require 'aws-sdk-core/plugins/param_converter.rb' require 'aws-sdk-core/plugins/param_validator.rb' require 'aws-sdk-core/plugins/user_agent.rb' require 'aws-sdk-core/plugins/helpful_socket_errors.rb' require 'aws-sdk-core/plugins/retry_errors.rb' require 'aws-sdk-core/plugins/global_configuration.rb' require 'aws-sdk-core/plugins/regional_endpoint.rb' require 'aws-sdk-core/plugins/endpoint_discovery.rb' require 'aws-sdk-core/plugins/endpoint_pattern.rb' require 'aws-sdk-core/plugins/response_paging.rb' require 'aws-sdk-core/plugins/stub_responses.rb' require 'aws-sdk-core/plugins/idempotency_token.rb' require 'aws-sdk-core/plugins/jsonvalue_converter.rb' require 'aws-sdk-core/plugins/client_metrics_plugin.rb' require 'aws-sdk-core/plugins/client_metrics_send_plugin.rb' require 'aws-sdk-core/plugins/transfer_encoding.rb' require 'aws-sdk-core/plugins/http_checksum.rb' require 'aws-sdk-core/plugins/defaults_mode.rb' require 'aws-sdk-core/plugins/signature_v4.rb' require 'aws-sdk-core/plugins/protocols/json_rpc.rb' Aws::Plugins::GlobalConfiguration.add_identifier(:applicationautoscaling) module Aws::ApplicationAutoScaling # 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. class Client < Seahorse::Client::Base include Aws::ClientStubs @identifier = :applicationautoscaling set_api(ClientApi::API) add_plugin(Seahorse::Client::Plugins::ContentLength) add_plugin(Aws::Plugins::CredentialsConfiguration) add_plugin(Aws::Plugins::Logging) add_plugin(Aws::Plugins::ParamConverter) add_plugin(Aws::Plugins::ParamValidator) add_plugin(Aws::Plugins::UserAgent) add_plugin(Aws::Plugins::HelpfulSocketErrors) add_plugin(Aws::Plugins::RetryErrors) add_plugin(Aws::Plugins::GlobalConfiguration) add_plugin(Aws::Plugins::RegionalEndpoint) add_plugin(Aws::Plugins::EndpointDiscovery) add_plugin(Aws::Plugins::EndpointPattern) add_plugin(Aws::Plugins::ResponsePaging) add_plugin(Aws::Plugins::StubResponses) add_plugin(Aws::Plugins::IdempotencyToken) add_plugin(Aws::Plugins::JsonvalueConverter) add_plugin(Aws::Plugins::ClientMetricsPlugin) add_plugin(Aws::Plugins::ClientMetricsSendPlugin) add_plugin(Aws::Plugins::TransferEncoding) add_plugin(Aws::Plugins::HttpChecksum) add_plugin(Aws::Plugins::DefaultsMode) add_plugin(Aws::Plugins::SignatureV4) add_plugin(Aws::Plugins::Protocols::JsonRpc) # @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. Instance profile credential # fetching can be disabled by setting ENV['AWS_EC2_METADATA_DISABLED'] # to true. # # @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 [String] :defaults_mode ("legacy") # See {Aws::DefaultsModeConfiguration} for a list of the # accepted modes and the configuration defaults that are included. # # @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] :use_dualstack_endpoint # When set to `true`, dualstack enabled endpoints (with `.aws` TLD) # will be used if available. # # @option options [Boolean] :use_fips_endpoint # When set to `true`, fips compatible endpoints will be used if available. # When a `fips` region is used, the region is normalized and this config # is set to `true`. # # @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 [Float] :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 [Float] :ssl_timeout (nil) Sets the SSL timeout # in seconds. # # @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. # def initialize(*args) super end # @!group API Operations # 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][1] and # [Delete a target tracking scaling policy][2] in the *Application Auto # Scaling User Guide*. # # # # [1]: https://docs.aws.amazon.com/autoscaling/application/userguide/application-auto-scaling-step-scaling-policies.html#delete-step-scaling-policy # [2]: https://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 - The resource type is `spot-fleet-request` and the # unique identifier is the Spot Fleet request ID. Example: # `spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE`. # # * EMR cluster - The resource type is `instancegroup` and the unique # identifier is the cluster ID and instance group ID. Example: # `instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0`. # # * AppStream 2.0 fleet - The resource type is `fleet` and the unique # identifier is the fleet name. Example: `fleet/sample-fleet`. # # * DynamoDB table - The resource type is `table` and the unique # identifier is the table name. Example: `table/my-table`. # # * DynamoDB global secondary index - The resource type is `index` and # the unique identifier is the index name. Example: # `table/my-table/index/my-table-index`. # # * Aurora DB cluster - The resource type is `cluster` and the unique # identifier is the cluster name. Example: `cluster:my-db-cluster`. # # * SageMaker endpoint variant - The resource type is `variant` and the # unique identifier is the resource ID. Example: # `endpoint/my-end-point/variant/KMeansClustering`. # # * Custom resources are not supported with a resource type. This # parameter must specify the `OutputValue` from the CloudFormation # template stack used to access the resources. The unique identifier # is defined by the service provider. More information is available in # our [GitHub repository][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`. # # * Neptune cluster - The resource type is `cluster` and the unique # identifier is the cluster name. Example: `cluster: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. # # * `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 SageMaker model endpoint variant. # # * `custom-resource:ResourceType:Property` - The scalable dimension for # a custom resource provided by your own application or service. # # * `comprehend:document-classifier-endpoint:DesiredInferenceUnits` - # The number of inference units for an Amazon Comprehend document # classification endpoint. # # * `comprehend:entity-recognizer-endpoint:DesiredInferenceUnits` - The # number of inference units for an Amazon Comprehend entity recognizer # endpoint. # # * `lambda:function:ProvisionedConcurrency` - The provisioned # concurrency for a Lambda function. # # * `cassandra:table:ReadCapacityUnits` - The provisioned read capacity # for an Amazon Keyspaces table. # # * `cassandra:table:WriteCapacityUnits` - The provisioned write # capacity for an Amazon Keyspaces table. # # * `kafka:broker-storage:VolumeSize` - The provisioned volume size (in # GiB) for brokers in an Amazon MSK cluster. # # * `elasticache:replication-group:NodeGroups` - The number of node # groups for an Amazon ElastiCache replication group. # # * `elasticache:replication-group:Replicas` - The number of replicas # per node group for an Amazon ElastiCache replication group. # # * `neptune:cluster:ReadReplicaCount` - The count of read replicas in # an Amazon Neptune DB cluster. # # @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, neptune # 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, neptune:cluster:ReadReplicaCount # }) # # @see http://docs.aws.amazon.com/goto/WebAPI/application-autoscaling-2016-02-06/DeleteScalingPolicy AWS API Documentation # # @overload delete_scaling_policy(params = {}) # @param [Hash] params ({}) def delete_scaling_policy(params = {}, options = {}) req = build_request(:delete_scaling_policy, params) req.send_request(options) end # Deletes the specified scheduled action for an Application Auto Scaling # scalable target. # # For more information, see [Delete a scheduled action][1] in the # *Application Auto Scaling User Guide*. # # # # [1]: https://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 - The resource type is `spot-fleet-request` and the # unique identifier is the Spot Fleet request ID. Example: # `spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE`. # # * EMR cluster - The resource type is `instancegroup` and the unique # identifier is the cluster ID and instance group ID. Example: # `instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0`. # # * AppStream 2.0 fleet - The resource type is `fleet` and the unique # identifier is the fleet name. Example: `fleet/sample-fleet`. # # * DynamoDB table - The resource type is `table` and the unique # identifier is the table name. Example: `table/my-table`. # # * DynamoDB global secondary index - The resource type is `index` and # the unique identifier is the index name. Example: # `table/my-table/index/my-table-index`. # # * Aurora DB cluster - The resource type is `cluster` and the unique # identifier is the cluster name. Example: `cluster:my-db-cluster`. # # * SageMaker endpoint variant - The resource type is `variant` and the # unique identifier is the resource ID. Example: # `endpoint/my-end-point/variant/KMeansClustering`. # # * Custom resources are not supported with a resource type. This # parameter must specify the `OutputValue` from the CloudFormation # template stack used to access the resources. The unique identifier # is defined by the service provider. More information is available in # our [GitHub repository][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`. # # * Neptune cluster - The resource type is `cluster` and the unique # identifier is the cluster name. Example: `cluster: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. # # * `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 SageMaker model endpoint variant. # # * `custom-resource:ResourceType:Property` - The scalable dimension for # a custom resource provided by your own application or service. # # * `comprehend:document-classifier-endpoint:DesiredInferenceUnits` - # The number of inference units for an Amazon Comprehend document # classification endpoint. # # * `comprehend:entity-recognizer-endpoint:DesiredInferenceUnits` - The # number of inference units for an Amazon Comprehend entity recognizer # endpoint. # # * `lambda:function:ProvisionedConcurrency` - The provisioned # concurrency for a Lambda function. # # * `cassandra:table:ReadCapacityUnits` - The provisioned read capacity # for an Amazon Keyspaces table. # # * `cassandra:table:WriteCapacityUnits` - The provisioned write # capacity for an Amazon Keyspaces table. # # * `kafka:broker-storage:VolumeSize` - The provisioned volume size (in # GiB) for brokers in an Amazon MSK cluster. # # * `elasticache:replication-group:NodeGroups` - The number of node # groups for an Amazon ElastiCache replication group. # # * `elasticache:replication-group:Replicas` - The number of replicas # per node group for an Amazon ElastiCache replication group. # # * `neptune:cluster:ReadReplicaCount` - The count of read replicas in # an Amazon Neptune DB cluster. # # @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, neptune # 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, neptune:cluster:ReadReplicaCount # }) # # @see http://docs.aws.amazon.com/goto/WebAPI/application-autoscaling-2016-02-06/DeleteScheduledAction AWS API Documentation # # @overload delete_scheduled_action(params = {}) # @param [Hash] params ({}) def delete_scheduled_action(params = {}, options = {}) req = build_request(:delete_scheduled_action, params) req.send_request(options) end # Deregisters an Application Auto Scaling scalable target when you have # finished using it. To see which resources have been registered, use # [DescribeScalableTargets][1]. # # Deregistering a scalable target deletes the scaling policies and the # scheduled actions that are associated with it. # # # # # # [1]: https://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 - The resource type is `spot-fleet-request` and the # unique identifier is the Spot Fleet request ID. Example: # `spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE`. # # * EMR cluster - The resource type is `instancegroup` and the unique # identifier is the cluster ID and instance group ID. Example: # `instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0`. # # * AppStream 2.0 fleet - The resource type is `fleet` and the unique # identifier is the fleet name. Example: `fleet/sample-fleet`. # # * DynamoDB table - The resource type is `table` and the unique # identifier is the table name. Example: `table/my-table`. # # * DynamoDB global secondary index - The resource type is `index` and # the unique identifier is the index name. Example: # `table/my-table/index/my-table-index`. # # * Aurora DB cluster - The resource type is `cluster` and the unique # identifier is the cluster name. Example: `cluster:my-db-cluster`. # # * SageMaker endpoint variant - The resource type is `variant` and the # unique identifier is the resource ID. Example: # `endpoint/my-end-point/variant/KMeansClustering`. # # * Custom resources are not supported with a resource type. This # parameter must specify the `OutputValue` from the CloudFormation # template stack used to access the resources. The unique identifier # is defined by the service provider. More information is available in # our [GitHub repository][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`. # # * Neptune cluster - The resource type is `cluster` and the unique # identifier is the cluster name. Example: `cluster: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. # # * `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 SageMaker model endpoint variant. # # * `custom-resource:ResourceType:Property` - The scalable dimension for # a custom resource provided by your own application or service. # # * `comprehend:document-classifier-endpoint:DesiredInferenceUnits` - # The number of inference units for an Amazon Comprehend document # classification endpoint. # # * `comprehend:entity-recognizer-endpoint:DesiredInferenceUnits` - The # number of inference units for an Amazon Comprehend entity recognizer # endpoint. # # * `lambda:function:ProvisionedConcurrency` - The provisioned # concurrency for a Lambda function. # # * `cassandra:table:ReadCapacityUnits` - The provisioned read capacity # for an Amazon Keyspaces table. # # * `cassandra:table:WriteCapacityUnits` - The provisioned write # capacity for an Amazon Keyspaces table. # # * `kafka:broker-storage:VolumeSize` - The provisioned volume size (in # GiB) for brokers in an Amazon MSK cluster. # # * `elasticache:replication-group:NodeGroups` - The number of node # groups for an Amazon ElastiCache replication group. # # * `elasticache:replication-group:Replicas` - The number of replicas # per node group for an Amazon ElastiCache replication group. # # * `neptune:cluster:ReadReplicaCount` - The count of read replicas in # an Amazon Neptune DB cluster. # # @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, neptune # 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, neptune:cluster:ReadReplicaCount # }) # # @see http://docs.aws.amazon.com/goto/WebAPI/application-autoscaling-2016-02-06/DeregisterScalableTarget AWS API Documentation # # @overload deregister_scalable_target(params = {}) # @param [Hash] params ({}) def deregister_scalable_target(params = {}, options = {}) req = build_request(:deregister_scalable_target, params) req.send_request(options) end # 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] :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 - The resource type is `spot-fleet-request` and the # unique identifier is the Spot Fleet request ID. Example: # `spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE`. # # * EMR cluster - The resource type is `instancegroup` and the unique # identifier is the cluster ID and instance group ID. Example: # `instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0`. # # * AppStream 2.0 fleet - The resource type is `fleet` and the unique # identifier is the fleet name. Example: `fleet/sample-fleet`. # # * DynamoDB table - The resource type is `table` and the unique # identifier is the table name. Example: `table/my-table`. # # * DynamoDB global secondary index - The resource type is `index` and # the unique identifier is the index name. Example: # `table/my-table/index/my-table-index`. # # * Aurora DB cluster - The resource type is `cluster` and the unique # identifier is the cluster name. Example: `cluster:my-db-cluster`. # # * SageMaker endpoint variant - The resource type is `variant` and the # unique identifier is the resource ID. Example: # `endpoint/my-end-point/variant/KMeansClustering`. # # * Custom resources are not supported with a resource type. This # parameter must specify the `OutputValue` from the CloudFormation # template stack used to access the resources. The unique identifier # is defined by the service provider. More information is available in # our [GitHub repository][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`. # # * Neptune cluster - The resource type is `cluster` and the unique # identifier is the cluster name. Example: `cluster: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. # # * `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 SageMaker model endpoint variant. # # * `custom-resource:ResourceType:Property` - The scalable dimension for # a custom resource provided by your own application or service. # # * `comprehend:document-classifier-endpoint:DesiredInferenceUnits` - # The number of inference units for an Amazon Comprehend document # classification endpoint. # # * `comprehend:entity-recognizer-endpoint:DesiredInferenceUnits` - The # number of inference units for an Amazon Comprehend entity recognizer # endpoint. # # * `lambda:function:ProvisionedConcurrency` - The provisioned # concurrency for a Lambda function. # # * `cassandra:table:ReadCapacityUnits` - The provisioned read capacity # for an Amazon Keyspaces table. # # * `cassandra:table:WriteCapacityUnits` - The provisioned write # capacity for an Amazon Keyspaces table. # # * `kafka:broker-storage:VolumeSize` - The provisioned volume size (in # GiB) for brokers in an Amazon MSK cluster. # # * `elasticache:replication-group:NodeGroups` - The number of node # groups for an Amazon ElastiCache replication group. # # * `elasticache:replication-group:Replicas` - The number of replicas # per node group for an Amazon ElastiCache replication group. # # * `neptune:cluster:ReadReplicaCount` - The count of read replicas in # an Amazon Neptune DB cluster. # # @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<Types::ScalableTarget> # * {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, neptune # 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, neptune:cluster:ReadReplicaCount # 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", "neptune" # 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", "neptune:cluster:ReadReplicaCount" # 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 http://docs.aws.amazon.com/goto/WebAPI/application-autoscaling-2016-02-06/DescribeScalableTargets AWS API Documentation # # @overload describe_scalable_targets(params = {}) # @param [Hash] params ({}) def describe_scalable_targets(params = {}, options = {}) req = build_request(:describe_scalable_targets, params) req.send_request(options) end # 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 - The resource type is `spot-fleet-request` and the # unique identifier is the Spot Fleet request ID. Example: # `spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE`. # # * EMR cluster - The resource type is `instancegroup` and the unique # identifier is the cluster ID and instance group ID. Example: # `instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0`. # # * AppStream 2.0 fleet - The resource type is `fleet` and the unique # identifier is the fleet name. Example: `fleet/sample-fleet`. # # * DynamoDB table - The resource type is `table` and the unique # identifier is the table name. Example: `table/my-table`. # # * DynamoDB global secondary index - The resource type is `index` and # the unique identifier is the index name. Example: # `table/my-table/index/my-table-index`. # # * Aurora DB cluster - The resource type is `cluster` and the unique # identifier is the cluster name. Example: `cluster:my-db-cluster`. # # * SageMaker endpoint variant - The resource type is `variant` and the # unique identifier is the resource ID. Example: # `endpoint/my-end-point/variant/KMeansClustering`. # # * Custom resources are not supported with a resource type. This # parameter must specify the `OutputValue` from the CloudFormation # template stack used to access the resources. The unique identifier # is defined by the service provider. More information is available in # our [GitHub repository][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`. # # * Neptune cluster - The resource type is `cluster` and the unique # identifier is the cluster name. Example: `cluster: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. # # * `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 SageMaker model endpoint variant. # # * `custom-resource:ResourceType:Property` - The scalable dimension for # a custom resource provided by your own application or service. # # * `comprehend:document-classifier-endpoint:DesiredInferenceUnits` - # The number of inference units for an Amazon Comprehend document # classification endpoint. # # * `comprehend:entity-recognizer-endpoint:DesiredInferenceUnits` - The # number of inference units for an Amazon Comprehend entity recognizer # endpoint. # # * `lambda:function:ProvisionedConcurrency` - The provisioned # concurrency for a Lambda function. # # * `cassandra:table:ReadCapacityUnits` - The provisioned read capacity # for an Amazon Keyspaces table. # # * `cassandra:table:WriteCapacityUnits` - The provisioned write # capacity for an Amazon Keyspaces table. # # * `kafka:broker-storage:VolumeSize` - The provisioned volume size (in # GiB) for brokers in an Amazon MSK cluster. # # * `elasticache:replication-group:NodeGroups` - The number of node # groups for an Amazon ElastiCache replication group. # # * `elasticache:replication-group:Replicas` - The number of replicas # per node group for an Amazon ElastiCache replication group. # # * `neptune:cluster:ReadReplicaCount` - The count of read replicas in # an Amazon Neptune DB cluster. # # @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<Types::ScalingActivity> # * {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, neptune # 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, neptune:cluster:ReadReplicaCount # 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", "neptune" # 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", "neptune:cluster:ReadReplicaCount" # 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 http://docs.aws.amazon.com/goto/WebAPI/application-autoscaling-2016-02-06/DescribeScalingActivities AWS API Documentation # # @overload describe_scaling_activities(params = {}) # @param [Hash] params ({}) def describe_scaling_activities(params = {}, options = {}) req = build_request(:describe_scaling_activities, params) req.send_request(options) end # 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][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 [Array] :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 - The resource type is `spot-fleet-request` and the # unique identifier is the Spot Fleet request ID. Example: # `spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE`. # # * EMR cluster - The resource type is `instancegroup` and the unique # identifier is the cluster ID and instance group ID. Example: # `instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0`. # # * AppStream 2.0 fleet - The resource type is `fleet` and the unique # identifier is the fleet name. Example: `fleet/sample-fleet`. # # * DynamoDB table - The resource type is `table` and the unique # identifier is the table name. Example: `table/my-table`. # # * DynamoDB global secondary index - The resource type is `index` and # the unique identifier is the index name. Example: # `table/my-table/index/my-table-index`. # # * Aurora DB cluster - The resource type is `cluster` and the unique # identifier is the cluster name. Example: `cluster:my-db-cluster`. # # * SageMaker endpoint variant - The resource type is `variant` and the # unique identifier is the resource ID. Example: # `endpoint/my-end-point/variant/KMeansClustering`. # # * Custom resources are not supported with a resource type. This # parameter must specify the `OutputValue` from the CloudFormation # template stack used to access the resources. The unique identifier # is defined by the service provider. More information is available in # our [GitHub repository][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`. # # * Neptune cluster - The resource type is `cluster` and the unique # identifier is the cluster name. Example: `cluster: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. # # * `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 SageMaker model endpoint variant. # # * `custom-resource:ResourceType:Property` - The scalable dimension for # a custom resource provided by your own application or service. # # * `comprehend:document-classifier-endpoint:DesiredInferenceUnits` - # The number of inference units for an Amazon Comprehend document # classification endpoint. # # * `comprehend:entity-recognizer-endpoint:DesiredInferenceUnits` - The # number of inference units for an Amazon Comprehend entity recognizer # endpoint. # # * `lambda:function:ProvisionedConcurrency` - The provisioned # concurrency for a Lambda function. # # * `cassandra:table:ReadCapacityUnits` - The provisioned read capacity # for an Amazon Keyspaces table. # # * `cassandra:table:WriteCapacityUnits` - The provisioned write # capacity for an Amazon Keyspaces table. # # * `kafka:broker-storage:VolumeSize` - The provisioned volume size (in # GiB) for brokers in an Amazon MSK cluster. # # * `elasticache:replication-group:NodeGroups` - The number of node # groups for an Amazon ElastiCache replication group. # # * `elasticache:replication-group:Replicas` - The number of replicas # per node group for an Amazon ElastiCache replication group. # # * `neptune:cluster:ReadReplicaCount` - The count of read replicas in # an Amazon Neptune DB cluster. # # @option params [Integer] :max_results # The maximum number of scalable targets. This value can be between 1 # and 10. The default value is 10. # # 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 10 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<Types::ScalingPolicy> # * {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, neptune # 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, neptune:cluster:ReadReplicaCount # 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", "neptune" # 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", "neptune:cluster:ReadReplicaCount" # 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", "NeptuneReaderAverageCPUUtilization" # 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 http://docs.aws.amazon.com/goto/WebAPI/application-autoscaling-2016-02-06/DescribeScalingPolicies AWS API Documentation # # @overload describe_scaling_policies(params = {}) # @param [Hash] params ({}) def describe_scaling_policies(params = {}, options = {}) req = build_request(:describe_scaling_policies, params) req.send_request(options) end # 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][1] and [Managing # scheduled scaling][2] in the *Application Auto Scaling User Guide*. # # # # [1]: https://docs.aws.amazon.com/autoscaling/application/userguide/application-auto-scaling-scheduled-scaling.html # [2]: https://docs.aws.amazon.com/autoscaling/application/userguide/scheduled-scaling-additional-cli-commands.html # # @option params [Array] :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 - The resource type is `spot-fleet-request` and the # unique identifier is the Spot Fleet request ID. Example: # `spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE`. # # * EMR cluster - The resource type is `instancegroup` and the unique # identifier is the cluster ID and instance group ID. Example: # `instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0`. # # * AppStream 2.0 fleet - The resource type is `fleet` and the unique # identifier is the fleet name. Example: `fleet/sample-fleet`. # # * DynamoDB table - The resource type is `table` and the unique # identifier is the table name. Example: `table/my-table`. # # * DynamoDB global secondary index - The resource type is `index` and # the unique identifier is the index name. Example: # `table/my-table/index/my-table-index`. # # * Aurora DB cluster - The resource type is `cluster` and the unique # identifier is the cluster name. Example: `cluster:my-db-cluster`. # # * SageMaker endpoint variant - The resource type is `variant` and the # unique identifier is the resource ID. Example: # `endpoint/my-end-point/variant/KMeansClustering`. # # * Custom resources are not supported with a resource type. This # parameter must specify the `OutputValue` from the CloudFormation # template stack used to access the resources. The unique identifier # is defined by the service provider. More information is available in # our [GitHub repository][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`. # # * Neptune cluster - The resource type is `cluster` and the unique # identifier is the cluster name. Example: `cluster: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. # # * `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 SageMaker model endpoint variant. # # * `custom-resource:ResourceType:Property` - The scalable dimension for # a custom resource provided by your own application or service. # # * `comprehend:document-classifier-endpoint:DesiredInferenceUnits` - # The number of inference units for an Amazon Comprehend document # classification endpoint. # # * `comprehend:entity-recognizer-endpoint:DesiredInferenceUnits` - The # number of inference units for an Amazon Comprehend entity recognizer # endpoint. # # * `lambda:function:ProvisionedConcurrency` - The provisioned # concurrency for a Lambda function. # # * `cassandra:table:ReadCapacityUnits` - The provisioned read capacity # for an Amazon Keyspaces table. # # * `cassandra:table:WriteCapacityUnits` - The provisioned write # capacity for an Amazon Keyspaces table. # # * `kafka:broker-storage:VolumeSize` - The provisioned volume size (in # GiB) for brokers in an Amazon MSK cluster. # # * `elasticache:replication-group:NodeGroups` - The number of node # groups for an Amazon ElastiCache replication group. # # * `elasticache:replication-group:Replicas` - The number of replicas # per node group for an Amazon ElastiCache replication group. # # * `neptune:cluster:ReadReplicaCount` - The count of read replicas in # an Amazon Neptune DB cluster. # # @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<Types::ScheduledAction> # * {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, neptune # 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, neptune:cluster:ReadReplicaCount # 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", "neptune" # 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", "neptune:cluster:ReadReplicaCount" # 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 http://docs.aws.amazon.com/goto/WebAPI/application-autoscaling-2016-02-06/DescribeScheduledActions AWS API Documentation # # @overload describe_scheduled_actions(params = {}) # @param [Hash] params ({}) def describe_scheduled_actions(params = {}, options = {}) req = build_request(:describe_scheduled_actions, params) req.send_request(options) end # 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][1] and # [Step scaling policies][2] in the *Application Auto Scaling User # Guide*. # # 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. # # # # # # [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 [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 - The resource type is `spot-fleet-request` and the # unique identifier is the Spot Fleet request ID. Example: # `spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE`. # # * EMR cluster - The resource type is `instancegroup` and the unique # identifier is the cluster ID and instance group ID. Example: # `instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0`. # # * AppStream 2.0 fleet - The resource type is `fleet` and the unique # identifier is the fleet name. Example: `fleet/sample-fleet`. # # * DynamoDB table - The resource type is `table` and the unique # identifier is the table name. Example: `table/my-table`. # # * DynamoDB global secondary index - The resource type is `index` and # the unique identifier is the index name. Example: # `table/my-table/index/my-table-index`. # # * Aurora DB cluster - The resource type is `cluster` and the unique # identifier is the cluster name. Example: `cluster:my-db-cluster`. # # * SageMaker endpoint variant - The resource type is `variant` and the # unique identifier is the resource ID. Example: # `endpoint/my-end-point/variant/KMeansClustering`. # # * Custom resources are not supported with a resource type. This # parameter must specify the `OutputValue` from the CloudFormation # template stack used to access the resources. The unique identifier # is defined by the service provider. More information is available in # our [GitHub repository][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`. # # * Neptune cluster - The resource type is `cluster` and the unique # identifier is the cluster name. Example: `cluster: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. # # * `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 SageMaker model endpoint variant. # # * `custom-resource:ResourceType:Property` - The scalable dimension for # a custom resource provided by your own application or service. # # * `comprehend:document-classifier-endpoint:DesiredInferenceUnits` - # The number of inference units for an Amazon Comprehend document # classification endpoint. # # * `comprehend:entity-recognizer-endpoint:DesiredInferenceUnits` - The # number of inference units for an Amazon Comprehend entity recognizer # endpoint. # # * `lambda:function:ProvisionedConcurrency` - The provisioned # concurrency for a Lambda function. # # * `cassandra:table:ReadCapacityUnits` - The provisioned read capacity # for an Amazon Keyspaces table. # # * `cassandra:table:WriteCapacityUnits` - The provisioned write # capacity for an Amazon Keyspaces table. # # * `kafka:broker-storage:VolumeSize` - The provisioned volume size (in # GiB) for brokers in an Amazon MSK cluster. # # * `elasticache:replication-group:NodeGroups` - The number of node # groups for an Amazon ElastiCache replication group. # # * `elasticache:replication-group:Replicas` - The number of replicas # per node group for an Amazon ElastiCache replication group. # # * `neptune:cluster:ReadReplicaCount` - The count of read replicas in # an Amazon Neptune DB cluster. # # @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, Amazon MSK, Amazon ElastiCache, or Neptune. # # 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<Types::Alarm> # # # @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, neptune # 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, neptune:cluster:ReadReplicaCount # 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, NeptuneReaderAverageCPUUtilization # 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 http://docs.aws.amazon.com/goto/WebAPI/application-autoscaling-2016-02-06/PutScalingPolicy AWS API Documentation # # @overload put_scaling_policy(params = {}) # @param [Hash] params ({}) def put_scaling_policy(params = {}, options = {}) req = build_request(:put_scaling_policy, params) req.send_request(options) end # 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][1] in the *Application # Auto Scaling User Guide*. # # 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. # # # # # # [1]: https://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 - The resource type is `spot-fleet-request` and the # unique identifier is the Spot Fleet request ID. Example: # `spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE`. # # * EMR cluster - The resource type is `instancegroup` and the unique # identifier is the cluster ID and instance group ID. Example: # `instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0`. # # * AppStream 2.0 fleet - The resource type is `fleet` and the unique # identifier is the fleet name. Example: `fleet/sample-fleet`. # # * DynamoDB table - The resource type is `table` and the unique # identifier is the table name. Example: `table/my-table`. # # * DynamoDB global secondary index - The resource type is `index` and # the unique identifier is the index name. Example: # `table/my-table/index/my-table-index`. # # * Aurora DB cluster - The resource type is `cluster` and the unique # identifier is the cluster name. Example: `cluster:my-db-cluster`. # # * SageMaker endpoint variant - The resource type is `variant` and the # unique identifier is the resource ID. Example: # `endpoint/my-end-point/variant/KMeansClustering`. # # * Custom resources are not supported with a resource type. This # parameter must specify the `OutputValue` from the CloudFormation # template stack used to access the resources. The unique identifier # is defined by the service provider. More information is available in # our [GitHub repository][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`. # # * Neptune cluster - The resource type is `cluster` and the unique # identifier is the cluster name. Example: `cluster: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. # # * `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 SageMaker model endpoint variant. # # * `custom-resource:ResourceType:Property` - The scalable dimension for # a custom resource provided by your own application or service. # # * `comprehend:document-classifier-endpoint:DesiredInferenceUnits` - # The number of inference units for an Amazon Comprehend document # classification endpoint. # # * `comprehend:entity-recognizer-endpoint:DesiredInferenceUnits` - The # number of inference units for an Amazon Comprehend entity recognizer # endpoint. # # * `lambda:function:ProvisionedConcurrency` - The provisioned # concurrency for a Lambda function. # # * `cassandra:table:ReadCapacityUnits` - The provisioned read capacity # for an Amazon Keyspaces table. # # * `cassandra:table:WriteCapacityUnits` - The provisioned write # capacity for an Amazon Keyspaces table. # # * `kafka:broker-storage:VolumeSize` - The provisioned volume size (in # GiB) for brokers in an Amazon MSK cluster. # # * `elasticache:replication-group:NodeGroups` - The number of node # groups for an Amazon ElastiCache replication group. # # * `elasticache:replication-group:Replicas` - The number of replicas # per node group for an Amazon ElastiCache replication group. # # * `neptune:cluster:ReadReplicaCount` - The count of read replicas in # an Amazon Neptune DB cluster. # # @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, neptune # 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, neptune:cluster:ReadReplicaCount # start_time: Time.now, # end_time: Time.now, # scalable_target_action: { # min_capacity: 1, # max_capacity: 1, # }, # }) # # @see http://docs.aws.amazon.com/goto/WebAPI/application-autoscaling-2016-02-06/PutScheduledAction AWS API Documentation # # @overload put_scheduled_action(params = {}) # @param [Hash] params ({}) def put_scheduled_action(params = {}, options = {}) req = build_request(:put_scheduled_action, params) req.send_request(options) end # 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][1]. You # can also view the scaling policies for a service namespace by using # [DescribeScalableTargets][1]. If you no longer need a scalable target, # you can deregister it by using [DeregisterScalableTarget][2]. # # 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. # # If you call the `RegisterScalableTarget` API to update an existing # scalable target, Application Auto Scaling retrieves the current # capacity of the resource. If it is below the minimum capacity or above # the maximum capacity, Application Auto Scaling adjusts the capacity of # the scalable target to place it within these bounds, even if you # don't include the `MinCapacity` or `MaxCapacity` request parameters. # # # # # # [1]: https://docs.aws.amazon.com/autoscaling/application/APIReference/API_DescribeScalableTargets.html # [2]: https://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 - The resource type is `spot-fleet-request` and the # unique identifier is the Spot Fleet request ID. Example: # `spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE`. # # * EMR cluster - The resource type is `instancegroup` and the unique # identifier is the cluster ID and instance group ID. Example: # `instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0`. # # * AppStream 2.0 fleet - The resource type is `fleet` and the unique # identifier is the fleet name. Example: `fleet/sample-fleet`. # # * DynamoDB table - The resource type is `table` and the unique # identifier is the table name. Example: `table/my-table`. # # * DynamoDB global secondary index - The resource type is `index` and # the unique identifier is the index name. Example: # `table/my-table/index/my-table-index`. # # * Aurora DB cluster - The resource type is `cluster` and the unique # identifier is the cluster name. Example: `cluster:my-db-cluster`. # # * SageMaker endpoint variant - The resource type is `variant` and the # unique identifier is the resource ID. Example: # `endpoint/my-end-point/variant/KMeansClustering`. # # * Custom resources are not supported with a resource type. This # parameter must specify the `OutputValue` from the CloudFormation # template stack used to access the resources. The unique identifier # is defined by the service provider. More information is available in # our [GitHub repository][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`. # # * Neptune cluster - The resource type is `cluster` and the unique # identifier is the cluster name. Example: `cluster: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. # # * `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 SageMaker model endpoint variant. # # * `custom-resource:ResourceType:Property` - The scalable dimension for # a custom resource provided by your own application or service. # # * `comprehend:document-classifier-endpoint:DesiredInferenceUnits` - # The number of inference units for an Amazon Comprehend document # classification endpoint. # # * `comprehend:entity-recognizer-endpoint:DesiredInferenceUnits` - The # number of inference units for an Amazon Comprehend entity recognizer # endpoint. # # * `lambda:function:ProvisionedConcurrency` - The provisioned # concurrency for a Lambda function. # # * `cassandra:table:ReadCapacityUnits` - The provisioned read capacity # for an Amazon Keyspaces table. # # * `cassandra:table:WriteCapacityUnits` - The provisioned write # capacity for an Amazon Keyspaces table. # # * `kafka:broker-storage:VolumeSize` - The provisioned volume size (in # GiB) for brokers in an Amazon MSK cluster. # # * `elasticache:replication-group:NodeGroups` - The number of node # groups for an Amazon ElastiCache replication group. # # * `elasticache:replication-group:Replicas` - The number of replicas # per node group for an Amazon ElastiCache replication group. # # * `neptune:cluster:ReadReplicaCount` - The count of read replicas in # an Amazon Neptune DB cluster. # # @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, neptune # 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, neptune:cluster:ReadReplicaCount # 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 http://docs.aws.amazon.com/goto/WebAPI/application-autoscaling-2016-02-06/RegisterScalableTarget AWS API Documentation # # @overload register_scalable_target(params = {}) # @param [Hash] params ({}) def register_scalable_target(params = {}, options = {}) req = build_request(:register_scalable_target, params) req.send_request(options) end # @!endgroup # @param params ({}) # @api private 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] = '1.60.0' Seahorse::Client::Request.new(handlers, context) end # @api private # @deprecated def waiter_names [] end class << self # @api private attr_reader :identifier # @api private def errors_module Errors end end end end