# 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'
require 'aws-sdk-core/plugins/credentials_configuration'
require 'aws-sdk-core/plugins/logging'
require 'aws-sdk-core/plugins/param_converter'
require 'aws-sdk-core/plugins/param_validator'
require 'aws-sdk-core/plugins/user_agent'
require 'aws-sdk-core/plugins/helpful_socket_errors'
require 'aws-sdk-core/plugins/retry_errors'
require 'aws-sdk-core/plugins/global_configuration'
require 'aws-sdk-core/plugins/regional_endpoint'
require 'aws-sdk-core/plugins/endpoint_discovery'
require 'aws-sdk-core/plugins/endpoint_pattern'
require 'aws-sdk-core/plugins/response_paging'
require 'aws-sdk-core/plugins/stub_responses'
require 'aws-sdk-core/plugins/idempotency_token'
require 'aws-sdk-core/plugins/invocation_id'
require 'aws-sdk-core/plugins/jsonvalue_converter'
require 'aws-sdk-core/plugins/client_metrics_plugin'
require 'aws-sdk-core/plugins/client_metrics_send_plugin'
require 'aws-sdk-core/plugins/transfer_encoding'
require 'aws-sdk-core/plugins/http_checksum'
require 'aws-sdk-core/plugins/checksum_algorithm'
require 'aws-sdk-core/plugins/request_compression'
require 'aws-sdk-core/plugins/defaults_mode'
require 'aws-sdk-core/plugins/recursion_detection'
require 'aws-sdk-core/plugins/telemetry'
require 'aws-sdk-core/plugins/sign'
require 'aws-sdk-core/plugins/protocols/json_rpc'

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::InvocationId)
    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::ChecksumAlgorithm)
    add_plugin(Aws::Plugins::RequestCompression)
    add_plugin(Aws::Plugins::DefaultsMode)
    add_plugin(Aws::Plugins::RecursionDetection)
    add_plugin(Aws::Plugins::Telemetry)
    add_plugin(Aws::Plugins::Sign)
    add_plugin(Aws::Plugins::Protocols::JsonRpc)
    add_plugin(Aws::ApplicationAutoScaling::Plugins::Endpoints)

    # @overload initialize(options)
    #   @param [Hash] options
    #
    #   @option options [Array<Seahorse::Client::Plugin>] :plugins ([]])
    #     A list of plugins to apply to the client. Each plugin is either a
    #     class name or an instance of a plugin class.
    #
    #   @option options [required, Aws::CredentialProvider] :credentials
    #     Your AWS credentials used for authentication. This can be any class that includes and implements
    #     `Aws::CredentialProvider`, or 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`, `:session_token`, and
    #       `:account_id` options.
    #
    #     * `ENV['AWS_ACCESS_KEY_ID']`, `ENV['AWS_SECRET_ACCESS_KEY']`,
    #       `ENV['AWS_SESSION_TOKEN']`, and `ENV['AWS_ACCOUNT_ID']`.
    #
    #     * `~/.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::InstanceProfileCredentials` 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 [String] :account_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 [Array<String>] :auth_scheme_preference
    #     A list of preferred authentication schemes to use when making a request. Supported values are:
    #     `sigv4`, `sigv4a`, `httpBearerAuth`, and `noAuth`. When set using `ENV['AWS_AUTH_SCHEME_PREFERENCE']` or in
    #     shared config as `auth_scheme_preference`, the value should be a comma-separated list.
    #
    #   @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)
    #     When `true`, the SDK will not prepend the modeled host prefix to the endpoint.
    #
    #   @option options [Boolean] :disable_request_compression (false)
    #     When set to 'true' the request body will not be compressed
    #     for supported operations.
    #
    #   @option options [String, URI::HTTPS, URI::HTTP] :endpoint
    #     Normally you should not configure the `:endpoint` option
    #     directly. This is normally constructed from the `:region`
    #     option. Configuring `:endpoint` is normally reserved for
    #     connecting to test or custom endpoints. The endpoint should
    #     be a URI formatted like:
    #
    #         'http://example.com'
    #         'https://example.com'
    #         'http://example.com:123'
    #
    #   @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 [Boolean] :ignore_configured_endpoint_urls
    #     Setting to true disables use of endpoint URLs provided via environment
    #     variables and the shared configuration file.
    #
    #   @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 [String] :request_checksum_calculation ("when_supported")
    #     Determines when a checksum will be calculated for request payloads. Values are:
    #
    #     * `when_supported` - (default) When set, a checksum will be
    #       calculated for all request payloads of operations modeled with the
    #       `httpChecksum` trait where `requestChecksumRequired` is `true` and/or a
    #       `requestAlgorithmMember` is modeled.
    #     * `when_required` - When set, a checksum will only be calculated for
    #       request payloads of operations modeled with the  `httpChecksum` trait where
    #       `requestChecksumRequired` is `true` or where a `requestAlgorithmMember`
    #       is modeled and supplied.
    #
    #   @option options [Integer] :request_min_compression_size_bytes (10240)
    #     The minimum size in bytes that triggers compression for request
    #     bodies. The value must be non-negative integer value between 0
    #     and 10485780 bytes inclusive.
    #
    #   @option options [String] :response_checksum_validation ("when_supported")
    #     Determines when checksum validation will be performed on response payloads. Values are:
    #
    #     * `when_supported` - (default) When set, checksum validation is performed on all
    #       response payloads of operations modeled with the `httpChecksum` trait where
    #       `responseAlgorithms` is modeled, except when no modeled checksum algorithms
    #       are supported.
    #     * `when_required` - When set, checksum validation is not performed on
    #       response payloads of operations unless the checksum algorithm is supported and
    #       the `requestValidationModeMember` member is set to `ENABLED`.
    #
    #   @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] :sdk_ua_app_id
    #     A unique and opaque application ID that is appended to the
    #     User-Agent header as app/sdk_ua_app_id. It should have a
    #     maximum length of 50. This variable is sourced from environment
    #     variable AWS_SDK_UA_APP_ID or the shared config profile attribute sdk_ua_app_id.
    #
    #   @option options [String] :secret_access_key
    #
    #   @option options [String] :session_token
    #
    #   @option options [Array] :sigv4a_signing_region_set
    #     A list of regions that should be signed with SigV4a signing. When
    #     not passed, a default `:sigv4a_signing_region_set` is searched for
    #     in the following locations:
    #
    #     * `Aws.config[:sigv4a_signing_region_set]`
    #     * `ENV['AWS_SIGV4A_SIGNING_REGION_SET']`
    #     * `~/.aws/config`
    #
    #   @option options [Boolean] :simple_json (false)
    #     Disables request parameter conversion, validation, and formatting.
    #     Also disables response data type conversions. The request parameters
    #     hash must be formatted exactly as the API expects.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.
    #
    #   @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 [Aws::Telemetry::TelemetryProviderBase] :telemetry_provider (Aws::Telemetry::NoOpTelemetryProvider)
    #     Allows you to provide a telemetry provider, which is used to
    #     emit telemetry data. By default, uses `NoOpTelemetryProvider` which
    #     will not record or emit any telemetry data. The SDK supports the
    #     following telemetry providers:
    #
    #     * OpenTelemetry (OTel) - To use the OTel provider, install and require the
    #     `opentelemetry-sdk` gem and then, pass in an instance of a
    #     `Aws::Telemetry::OTelProvider` for telemetry provider.
    #
    #   @option options [Aws::TokenProvider] :token_provider
    #     Your Bearer token used for authentication. This can be any class that includes and implements
    #     `Aws::TokenProvider`, or instance of any one of the following classes:
    #
    #     * `Aws::StaticTokenProvider` - Used for configuring static, non-refreshing
    #       tokens.
    #
    #     * `Aws::SSOTokenProvider` - Used for loading tokens from AWS SSO using an
    #       access token generated from `aws login`.
    #
    #     When `:token_provider` is not configured directly, the `Aws::TokenProviderChain`
    #     will be used to search for tokens configured for your profile in shared configuration files.
    #
    #   @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 [Aws::ApplicationAutoScaling::EndpointProvider] :endpoint_provider
    #     The endpoint provider used to resolve endpoints. Any object that responds to
    #     `#resolve_endpoint(parameters)` where `parameters` is a Struct similar to
    #     `Aws::ApplicationAutoScaling::EndpointParameters`.
    #
    #   @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] :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_open_timeout (15)
    #     The default number of seconds to wait for response data.
    #     This value can safely be set per-request on the session.
    #
    #   @option options [URI::HTTP,String] :http_proxy
    #     A proxy to send requests through.  Formatted like 'http://proxy.com:123'.
    #
    #   @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 [Boolean] :http_wire_trace (false)
    #     When `true`,  HTTP debug output will be sent to the `:logger`.
    #
    #   @option options [Proc] :on_chunk_received
    #     When a Proc object is provided, it will be used as callback when each chunk
    #     of the response body is received. It provides three arguments: the chunk,
    #     the number of bytes received, and the total number of
    #     bytes in the response (or nil if the server did not send a `content-length`).
    #
    #   @option options [Proc] :on_chunk_sent
    #     When a Proc object is provided, it will be used as callback when each chunk
    #     of the request body is sent. It provides three arguments: the chunk,
    #     the number of bytes read from the body, and the total number of
    #     bytes in the body.
    #
    #   @option options [Boolean] :raise_response_errors (true)
    #     When `true`, response errors are raised.
    #
    #   @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.
    #
    #   @option options [String] :ssl_ca_store
    #     Sets the X509::Store to verify peer certificate.
    #
    #   @option options [OpenSSL::X509::Certificate] :ssl_cert
    #     Sets a client certificate when creating http connections.
    #
    #   @option options [OpenSSL::PKey] :ssl_key
    #     Sets a client key when creating http connections.
    #
    #   @option options [Float] :ssl_timeout
    #     Sets the SSL timeout in seconds
    #
    #   @option options [Boolean] :ssl_verify_peer (true)
    #     When `true`, SSL peer certificates are verified when establishing a connection.
    #
    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/create-step-scaling-policy-cli.html#delete-step-scaling-policy
    # [2]: https://docs.aws.amazon.com/autoscaling/application/userguide/create-target-tracking-policy-cli.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/my-cluster/my-service`.
    #
    #   * 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`.
    #
    #   * Amazon ElastiCache cache cluster - The resource type is
    #     `cache-cluster` and the unique identifier is the cache cluster name.
    #     Example: `cache-cluster/mycluster`.
    #
    #   * Neptune cluster - The resource type is `cluster` and the unique
    #     identifier is the cluster name. Example: `cluster:mycluster`.
    #
    #   * SageMaker serverless endpoint - The resource type is `variant` and
    #     the unique identifier is the resource ID. Example:
    #     `endpoint/my-end-point/variant/KMeansClustering`.
    #
    #   * SageMaker inference component - The resource type is
    #     `inference-component` and the unique identifier is the resource ID.
    #     Example: `inference-component/my-inference-component`.
    #
    #   * Pool of WorkSpaces - The resource type is `workspacespool` and the
    #     unique identifier is the pool ID. Example:
    #     `workspacespool/wspool-123456`.
    #
    #
    #
    #   [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 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 capacity of an AppStream 2.0
    #     fleet.
    #
    #   * `dynamodb:table:ReadCapacityUnits` - The provisioned read capacity
    #     for a DynamoDB table.
    #
    #   * `dynamodb:table:WriteCapacityUnits` - The provisioned write capacity
    #     for a DynamoDB table.
    #
    #   * `dynamodb:index:ReadCapacityUnits` - The provisioned read capacity
    #     for a DynamoDB global secondary index.
    #
    #   * `dynamodb:index:WriteCapacityUnits` - The provisioned write capacity
    #     for a DynamoDB global secondary index.
    #
    #   * `rds:cluster:ReadReplicaCount` - The count of Aurora Replicas in an
    #     Aurora DB cluster. Available for Aurora MySQL-compatible edition and
    #     Aurora PostgreSQL-compatible edition.
    #
    #   * `sagemaker:variant:DesiredInstanceCount` - The number of EC2
    #     instances for a SageMaker model endpoint variant.
    #
    #   * `custom-resource:ResourceType:Property` - The scalable dimension for
    #     a custom resource provided by your own application or service.
    #
    #   * `comprehend:document-classifier-endpoint:DesiredInferenceUnits` -
    #     The number of inference units for an Amazon Comprehend document
    #     classification endpoint.
    #
    #   * `comprehend:entity-recognizer-endpoint:DesiredInferenceUnits` - The
    #     number of inference units for an Amazon Comprehend entity recognizer
    #     endpoint.
    #
    #   * `lambda:function:ProvisionedConcurrency` - The provisioned
    #     concurrency for a Lambda function.
    #
    #   * `cassandra:table:ReadCapacityUnits` - The provisioned read capacity
    #     for an Amazon Keyspaces table.
    #
    #   * `cassandra:table:WriteCapacityUnits` - The provisioned write
    #     capacity for an Amazon Keyspaces table.
    #
    #   * `kafka:broker-storage:VolumeSize` - The provisioned volume size (in
    #     GiB) for brokers in an Amazon MSK cluster.
    #
    #   * `elasticache:cache-cluster:Nodes` - The number of nodes for an
    #     Amazon ElastiCache cache cluster.
    #
    #   * `elasticache:replication-group:NodeGroups` - The number of node
    #     groups for an Amazon ElastiCache replication group.
    #
    #   * `elasticache:replication-group:Replicas` - The number of replicas
    #     per node group for an Amazon ElastiCache replication group.
    #
    #   * `neptune:cluster:ReadReplicaCount` - The count of read replicas in
    #     an Amazon Neptune DB cluster.
    #
    #   * `sagemaker:variant:DesiredProvisionedConcurrency` - The provisioned
    #     concurrency for a SageMaker serverless endpoint.
    #
    #   * `sagemaker:inference-component:DesiredCopyCount` - The number of
    #     copies across an endpoint for a SageMaker inference component.
    #
    #   * `workspaces:workspacespool:DesiredUserSessions` - The number of user
    #     sessions for the WorkSpaces in the pool.
    #
    # @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, workspaces
    #     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:cache-cluster:Nodes, elasticache:replication-group:NodeGroups, elasticache:replication-group:Replicas, neptune:cluster:ReadReplicaCount, sagemaker:variant:DesiredProvisionedConcurrency, sagemaker:inference-component:DesiredCopyCount, workspaces:workspacespool:DesiredUserSessions
    #   })
    #
    # @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/my-cluster/my-service`.
    #
    #   * 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`.
    #
    #   * Amazon ElastiCache cache cluster - The resource type is
    #     `cache-cluster` and the unique identifier is the cache cluster name.
    #     Example: `cache-cluster/mycluster`.
    #
    #   * Neptune cluster - The resource type is `cluster` and the unique
    #     identifier is the cluster name. Example: `cluster:mycluster`.
    #
    #   * SageMaker serverless endpoint - The resource type is `variant` and
    #     the unique identifier is the resource ID. Example:
    #     `endpoint/my-end-point/variant/KMeansClustering`.
    #
    #   * SageMaker inference component - The resource type is
    #     `inference-component` and the unique identifier is the resource ID.
    #     Example: `inference-component/my-inference-component`.
    #
    #   * Pool of WorkSpaces - The resource type is `workspacespool` and the
    #     unique identifier is the pool ID. Example:
    #     `workspacespool/wspool-123456`.
    #
    #
    #
    #   [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 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 capacity of an AppStream 2.0
    #     fleet.
    #
    #   * `dynamodb:table:ReadCapacityUnits` - The provisioned read capacity
    #     for a DynamoDB table.
    #
    #   * `dynamodb:table:WriteCapacityUnits` - The provisioned write capacity
    #     for a DynamoDB table.
    #
    #   * `dynamodb:index:ReadCapacityUnits` - The provisioned read capacity
    #     for a DynamoDB global secondary index.
    #
    #   * `dynamodb:index:WriteCapacityUnits` - The provisioned write capacity
    #     for a DynamoDB global secondary index.
    #
    #   * `rds:cluster:ReadReplicaCount` - The count of Aurora Replicas in an
    #     Aurora DB cluster. Available for Aurora MySQL-compatible edition and
    #     Aurora PostgreSQL-compatible edition.
    #
    #   * `sagemaker:variant:DesiredInstanceCount` - The number of EC2
    #     instances for a SageMaker model endpoint variant.
    #
    #   * `custom-resource:ResourceType:Property` - The scalable dimension for
    #     a custom resource provided by your own application or service.
    #
    #   * `comprehend:document-classifier-endpoint:DesiredInferenceUnits` -
    #     The number of inference units for an Amazon Comprehend document
    #     classification endpoint.
    #
    #   * `comprehend:entity-recognizer-endpoint:DesiredInferenceUnits` - The
    #     number of inference units for an Amazon Comprehend entity recognizer
    #     endpoint.
    #
    #   * `lambda:function:ProvisionedConcurrency` - The provisioned
    #     concurrency for a Lambda function.
    #
    #   * `cassandra:table:ReadCapacityUnits` - The provisioned read capacity
    #     for an Amazon Keyspaces table.
    #
    #   * `cassandra:table:WriteCapacityUnits` - The provisioned write
    #     capacity for an Amazon Keyspaces table.
    #
    #   * `kafka:broker-storage:VolumeSize` - The provisioned volume size (in
    #     GiB) for brokers in an Amazon MSK cluster.
    #
    #   * `elasticache:cache-cluster:Nodes` - The number of nodes for an
    #     Amazon ElastiCache cache cluster.
    #
    #   * `elasticache:replication-group:NodeGroups` - The number of node
    #     groups for an Amazon ElastiCache replication group.
    #
    #   * `elasticache:replication-group:Replicas` - The number of replicas
    #     per node group for an Amazon ElastiCache replication group.
    #
    #   * `neptune:cluster:ReadReplicaCount` - The count of read replicas in
    #     an Amazon Neptune DB cluster.
    #
    #   * `sagemaker:variant:DesiredProvisionedConcurrency` - The provisioned
    #     concurrency for a SageMaker serverless endpoint.
    #
    #   * `sagemaker:inference-component:DesiredCopyCount` - The number of
    #     copies across an endpoint for a SageMaker inference component.
    #
    #   * `workspaces:workspacespool:DesiredUserSessions` - The number of user
    #     sessions for the WorkSpaces in the pool.
    #
    # @return [Struct] Returns an empty {Seahorse::Client::Response response}.
    #
    #
    # @example Example: To delete a scheduled action
    #
    #   # This example deletes a scheduled action for the AppStream 2.0 fleet called sample-fleet.
    #
    #   resp = client.delete_scheduled_action({
    #     resource_id: "fleet/sample-fleet", 
    #     scalable_dimension: "appstream:fleet:DesiredCapacity", 
    #     scheduled_action_name: "my-recurring-action", 
    #     service_namespace: "appstream", 
    #   })
    #
    #   resp.to_h outputs the following:
    #   {
    #   }
    #
    # @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, workspaces
    #     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:cache-cluster:Nodes, elasticache:replication-group:NodeGroups, elasticache:replication-group:Replicas, neptune:cluster:ReadReplicaCount, sagemaker:variant:DesiredProvisionedConcurrency, sagemaker:inference-component:DesiredCopyCount, workspaces:workspacespool:DesiredUserSessions
    #   })
    #
    # @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].
    #
    # <note markdown="1"> Deregistering a scalable target deletes the scaling policies and the
    # scheduled actions that are associated with it.
    #
    #  </note>
    #
    #
    #
    # [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/my-cluster/my-service`.
    #
    #   * 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`.
    #
    #   * Amazon ElastiCache cache cluster - The resource type is
    #     `cache-cluster` and the unique identifier is the cache cluster name.
    #     Example: `cache-cluster/mycluster`.
    #
    #   * Neptune cluster - The resource type is `cluster` and the unique
    #     identifier is the cluster name. Example: `cluster:mycluster`.
    #
    #   * SageMaker serverless endpoint - The resource type is `variant` and
    #     the unique identifier is the resource ID. Example:
    #     `endpoint/my-end-point/variant/KMeansClustering`.
    #
    #   * SageMaker inference component - The resource type is
    #     `inference-component` and the unique identifier is the resource ID.
    #     Example: `inference-component/my-inference-component`.
    #
    #   * Pool of WorkSpaces - The resource type is `workspacespool` and the
    #     unique identifier is the pool ID. Example:
    #     `workspacespool/wspool-123456`.
    #
    #
    #
    #   [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 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 capacity of an AppStream 2.0
    #     fleet.
    #
    #   * `dynamodb:table:ReadCapacityUnits` - The provisioned read capacity
    #     for a DynamoDB table.
    #
    #   * `dynamodb:table:WriteCapacityUnits` - The provisioned write capacity
    #     for a DynamoDB table.
    #
    #   * `dynamodb:index:ReadCapacityUnits` - The provisioned read capacity
    #     for a DynamoDB global secondary index.
    #
    #   * `dynamodb:index:WriteCapacityUnits` - The provisioned write capacity
    #     for a DynamoDB global secondary index.
    #
    #   * `rds:cluster:ReadReplicaCount` - The count of Aurora Replicas in an
    #     Aurora DB cluster. Available for Aurora MySQL-compatible edition and
    #     Aurora PostgreSQL-compatible edition.
    #
    #   * `sagemaker:variant:DesiredInstanceCount` - The number of EC2
    #     instances for a SageMaker model endpoint variant.
    #
    #   * `custom-resource:ResourceType:Property` - The scalable dimension for
    #     a custom resource provided by your own application or service.
    #
    #   * `comprehend:document-classifier-endpoint:DesiredInferenceUnits` -
    #     The number of inference units for an Amazon Comprehend document
    #     classification endpoint.
    #
    #   * `comprehend:entity-recognizer-endpoint:DesiredInferenceUnits` - The
    #     number of inference units for an Amazon Comprehend entity recognizer
    #     endpoint.
    #
    #   * `lambda:function:ProvisionedConcurrency` - The provisioned
    #     concurrency for a Lambda function.
    #
    #   * `cassandra:table:ReadCapacityUnits` - The provisioned read capacity
    #     for an Amazon Keyspaces table.
    #
    #   * `cassandra:table:WriteCapacityUnits` - The provisioned write
    #     capacity for an Amazon Keyspaces table.
    #
    #   * `kafka:broker-storage:VolumeSize` - The provisioned volume size (in
    #     GiB) for brokers in an Amazon MSK cluster.
    #
    #   * `elasticache:cache-cluster:Nodes` - The number of nodes for an
    #     Amazon ElastiCache cache cluster.
    #
    #   * `elasticache:replication-group:NodeGroups` - The number of node
    #     groups for an Amazon ElastiCache replication group.
    #
    #   * `elasticache:replication-group:Replicas` - The number of replicas
    #     per node group for an Amazon ElastiCache replication group.
    #
    #   * `neptune:cluster:ReadReplicaCount` - The count of read replicas in
    #     an Amazon Neptune DB cluster.
    #
    #   * `sagemaker:variant:DesiredProvisionedConcurrency` - The provisioned
    #     concurrency for a SageMaker serverless endpoint.
    #
    #   * `sagemaker:inference-component:DesiredCopyCount` - The number of
    #     copies across an endpoint for a SageMaker inference component.
    #
    #   * `workspaces:workspacespool:DesiredUserSessions` - The number of user
    #     sessions for the WorkSpaces in the pool.
    #
    # @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, workspaces
    #     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:cache-cluster:Nodes, elasticache:replication-group:NodeGroups, elasticache:replication-group:Replicas, neptune:cluster:ReadReplicaCount, sagemaker:variant:DesiredProvisionedConcurrency, sagemaker:inference-component:DesiredCopyCount, workspaces:workspacespool:DesiredUserSessions
    #   })
    #
    # @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<String>] :resource_ids
    #   The identifier of the resource associated with the scalable target.
    #   This string consists of the resource type and unique identifier.
    #
    #   * ECS service - The resource type is `service` and the unique
    #     identifier is the cluster name and service name. Example:
    #     `service/my-cluster/my-service`.
    #
    #   * 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`.
    #
    #   * Amazon ElastiCache cache cluster - The resource type is
    #     `cache-cluster` and the unique identifier is the cache cluster name.
    #     Example: `cache-cluster/mycluster`.
    #
    #   * Neptune cluster - The resource type is `cluster` and the unique
    #     identifier is the cluster name. Example: `cluster:mycluster`.
    #
    #   * SageMaker serverless endpoint - The resource type is `variant` and
    #     the unique identifier is the resource ID. Example:
    #     `endpoint/my-end-point/variant/KMeansClustering`.
    #
    #   * SageMaker inference component - The resource type is
    #     `inference-component` and the unique identifier is the resource ID.
    #     Example: `inference-component/my-inference-component`.
    #
    #   * Pool of WorkSpaces - The resource type is `workspacespool` and the
    #     unique identifier is the pool ID. Example:
    #     `workspacespool/wspool-123456`.
    #
    #
    #
    #   [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 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 capacity of an AppStream 2.0
    #     fleet.
    #
    #   * `dynamodb:table:ReadCapacityUnits` - The provisioned read capacity
    #     for a DynamoDB table.
    #
    #   * `dynamodb:table:WriteCapacityUnits` - The provisioned write capacity
    #     for a DynamoDB table.
    #
    #   * `dynamodb:index:ReadCapacityUnits` - The provisioned read capacity
    #     for a DynamoDB global secondary index.
    #
    #   * `dynamodb:index:WriteCapacityUnits` - The provisioned write capacity
    #     for a DynamoDB global secondary index.
    #
    #   * `rds:cluster:ReadReplicaCount` - The count of Aurora Replicas in an
    #     Aurora DB cluster. Available for Aurora MySQL-compatible edition and
    #     Aurora PostgreSQL-compatible edition.
    #
    #   * `sagemaker:variant:DesiredInstanceCount` - The number of EC2
    #     instances for a SageMaker model endpoint variant.
    #
    #   * `custom-resource:ResourceType:Property` - The scalable dimension for
    #     a custom resource provided by your own application or service.
    #
    #   * `comprehend:document-classifier-endpoint:DesiredInferenceUnits` -
    #     The number of inference units for an Amazon Comprehend document
    #     classification endpoint.
    #
    #   * `comprehend:entity-recognizer-endpoint:DesiredInferenceUnits` - The
    #     number of inference units for an Amazon Comprehend entity recognizer
    #     endpoint.
    #
    #   * `lambda:function:ProvisionedConcurrency` - The provisioned
    #     concurrency for a Lambda function.
    #
    #   * `cassandra:table:ReadCapacityUnits` - The provisioned read capacity
    #     for an Amazon Keyspaces table.
    #
    #   * `cassandra:table:WriteCapacityUnits` - The provisioned write
    #     capacity for an Amazon Keyspaces table.
    #
    #   * `kafka:broker-storage:VolumeSize` - The provisioned volume size (in
    #     GiB) for brokers in an Amazon MSK cluster.
    #
    #   * `elasticache:cache-cluster:Nodes` - The number of nodes for an
    #     Amazon ElastiCache cache cluster.
    #
    #   * `elasticache:replication-group:NodeGroups` - The number of node
    #     groups for an Amazon ElastiCache replication group.
    #
    #   * `elasticache:replication-group:Replicas` - The number of replicas
    #     per node group for an Amazon ElastiCache replication group.
    #
    #   * `neptune:cluster:ReadReplicaCount` - The count of read replicas in
    #     an Amazon Neptune DB cluster.
    #
    #   * `sagemaker:variant:DesiredProvisionedConcurrency` - The provisioned
    #     concurrency for a SageMaker serverless endpoint.
    #
    #   * `sagemaker:inference-component:DesiredCopyCount` - The number of
    #     copies across an endpoint for a SageMaker inference component.
    #
    #   * `workspaces:workspacespool:DesiredUserSessions` - The number of user
    #     sessions for the WorkSpaces in the pool.
    #
    # @option params [Integer] :max_results
    #   The maximum number of scalable targets. This value can be between 1
    #   and 50. The default value is 50.
    #
    #   If this parameter is used, the operation returns up to `MaxResults`
    #   results at a time, along with a `NextToken` value. To get the next set
    #   of results, include the `NextToken` value in a subsequent call. If
    #   this parameter is not used, the operation returns up to 50 results and
    #   a `NextToken` value, if applicable.
    #
    # @option params [String] :next_token
    #   The token for the next set of results.
    #
    # @return [Types::DescribeScalableTargetsResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods:
    #
    #   * {Types::DescribeScalableTargetsResponse#scalable_targets #scalable_targets} => Array&lt;Types::ScalableTarget&gt;
    #   * {Types::DescribeScalableTargetsResponse#next_token #next_token} => String
    #
    # The returned {Seahorse::Client::Response response} is a pageable response and is Enumerable. For details on usage see {Aws::PageableResponse PageableResponse}.
    #
    #
    # @example Example: To describe scalable targets
    #
    #   # This example describes the scalable targets for the ECS service namespace.
    #
    #   resp = client.describe_scalable_targets({
    #     service_namespace: "ecs", 
    #   })
    #
    #   resp.to_h outputs the following:
    #   {
    #     scalable_targets: [
    #       {
    #         creation_time: Time.parse("2019-05-06T11:21:46.199Z"), 
    #         max_capacity: 10, 
    #         min_capacity: 1, 
    #         resource_id: "service/default/web-app", 
    #         role_arn: "arn:aws:iam::012345678910:role/aws-service-role/ecs.application-autoscaling.amazonaws.com/AWSServiceRoleForApplicationAutoScaling_ECSService", 
    #         scalable_dimension: "ecs:service:DesiredCount", 
    #         service_namespace: "ecs", 
    #         suspended_state: {
    #           dynamic_scaling_in_suspended: false, 
    #           dynamic_scaling_out_suspended: false, 
    #           scheduled_scaling_suspended: false, 
    #         }, 
    #       }, 
    #     ], 
    #   }
    #
    # @example Request syntax with placeholder values
    #
    #   resp = client.describe_scalable_targets({
    #     service_namespace: "ecs", # required, accepts ecs, elasticmapreduce, ec2, appstream, dynamodb, rds, sagemaker, custom-resource, comprehend, lambda, cassandra, kafka, elasticache, neptune, workspaces
    #     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:cache-cluster:Nodes, elasticache:replication-group:NodeGroups, elasticache:replication-group:Replicas, neptune:cluster:ReadReplicaCount, sagemaker:variant:DesiredProvisionedConcurrency, sagemaker:inference-component:DesiredCopyCount, workspaces:workspacespool:DesiredUserSessions
    #     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", "workspaces"
    #   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:cache-cluster:Nodes", "elasticache:replication-group:NodeGroups", "elasticache:replication-group:Replicas", "neptune:cluster:ReadReplicaCount", "sagemaker:variant:DesiredProvisionedConcurrency", "sagemaker:inference-component:DesiredCopyCount", "workspaces:workspacespool:DesiredUserSessions"
    #   resp.scalable_targets[0].min_capacity #=> Integer
    #   resp.scalable_targets[0].max_capacity #=> Integer
    #   resp.scalable_targets[0].predicted_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.scalable_targets[0].scalable_target_arn #=> String
    #   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`.
    #
    # For information about viewing scaling activities using the Amazon Web
    # Services CLI, see [Scaling activities for Application Auto
    # Scaling][1].
    #
    #
    #
    # [1]: https://docs.aws.amazon.com/autoscaling/application/userguide/application-auto-scaling-scaling-activities.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] :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/my-cluster/my-service`.
    #
    #   * 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`.
    #
    #   * Amazon ElastiCache cache cluster - The resource type is
    #     `cache-cluster` and the unique identifier is the cache cluster name.
    #     Example: `cache-cluster/mycluster`.
    #
    #   * Neptune cluster - The resource type is `cluster` and the unique
    #     identifier is the cluster name. Example: `cluster:mycluster`.
    #
    #   * SageMaker serverless endpoint - The resource type is `variant` and
    #     the unique identifier is the resource ID. Example:
    #     `endpoint/my-end-point/variant/KMeansClustering`.
    #
    #   * SageMaker inference component - The resource type is
    #     `inference-component` and the unique identifier is the resource ID.
    #     Example: `inference-component/my-inference-component`.
    #
    #   * Pool of WorkSpaces - The resource type is `workspacespool` and the
    #     unique identifier is the pool ID. Example:
    #     `workspacespool/wspool-123456`.
    #
    #
    #
    #   [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 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 capacity of an AppStream 2.0
    #     fleet.
    #
    #   * `dynamodb:table:ReadCapacityUnits` - The provisioned read capacity
    #     for a DynamoDB table.
    #
    #   * `dynamodb:table:WriteCapacityUnits` - The provisioned write capacity
    #     for a DynamoDB table.
    #
    #   * `dynamodb:index:ReadCapacityUnits` - The provisioned read capacity
    #     for a DynamoDB global secondary index.
    #
    #   * `dynamodb:index:WriteCapacityUnits` - The provisioned write capacity
    #     for a DynamoDB global secondary index.
    #
    #   * `rds:cluster:ReadReplicaCount` - The count of Aurora Replicas in an
    #     Aurora DB cluster. Available for Aurora MySQL-compatible edition and
    #     Aurora PostgreSQL-compatible edition.
    #
    #   * `sagemaker:variant:DesiredInstanceCount` - The number of EC2
    #     instances for a SageMaker model endpoint variant.
    #
    #   * `custom-resource:ResourceType:Property` - The scalable dimension for
    #     a custom resource provided by your own application or service.
    #
    #   * `comprehend:document-classifier-endpoint:DesiredInferenceUnits` -
    #     The number of inference units for an Amazon Comprehend document
    #     classification endpoint.
    #
    #   * `comprehend:entity-recognizer-endpoint:DesiredInferenceUnits` - The
    #     number of inference units for an Amazon Comprehend entity recognizer
    #     endpoint.
    #
    #   * `lambda:function:ProvisionedConcurrency` - The provisioned
    #     concurrency for a Lambda function.
    #
    #   * `cassandra:table:ReadCapacityUnits` - The provisioned read capacity
    #     for an Amazon Keyspaces table.
    #
    #   * `cassandra:table:WriteCapacityUnits` - The provisioned write
    #     capacity for an Amazon Keyspaces table.
    #
    #   * `kafka:broker-storage:VolumeSize` - The provisioned volume size (in
    #     GiB) for brokers in an Amazon MSK cluster.
    #
    #   * `elasticache:cache-cluster:Nodes` - The number of nodes for an
    #     Amazon ElastiCache cache cluster.
    #
    #   * `elasticache:replication-group:NodeGroups` - The number of node
    #     groups for an Amazon ElastiCache replication group.
    #
    #   * `elasticache:replication-group:Replicas` - The number of replicas
    #     per node group for an Amazon ElastiCache replication group.
    #
    #   * `neptune:cluster:ReadReplicaCount` - The count of read replicas in
    #     an Amazon Neptune DB cluster.
    #
    #   * `sagemaker:variant:DesiredProvisionedConcurrency` - The provisioned
    #     concurrency for a SageMaker serverless endpoint.
    #
    #   * `sagemaker:inference-component:DesiredCopyCount` - The number of
    #     copies across an endpoint for a SageMaker inference component.
    #
    #   * `workspaces:workspacespool:DesiredUserSessions` - The number of user
    #     sessions for the WorkSpaces in the pool.
    #
    # @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.
    #
    # @option params [Boolean] :include_not_scaled_activities
    #   Specifies whether to include activities that aren't scaled (*not
    #   scaled activities*) in the response. Not scaled activities are
    #   activities that aren't completed or started for various reasons, such
    #   as preventing infinite scaling loops. For help interpreting the not
    #   scaled reason details in the response, see [Scaling activities for
    #   Application Auto Scaling][1].
    #
    #
    #
    #   [1]: https://docs.aws.amazon.com/autoscaling/application/userguide/application-auto-scaling-scaling-activities.html
    #
    # @return [Types::DescribeScalingActivitiesResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods:
    #
    #   * {Types::DescribeScalingActivitiesResponse#scaling_activities #scaling_activities} => Array&lt;Types::ScalingActivity&gt;
    #   * {Types::DescribeScalingActivitiesResponse#next_token #next_token} => String
    #
    # The returned {Seahorse::Client::Response response} is a pageable response and is Enumerable. For details on usage see {Aws::PageableResponse PageableResponse}.
    #
    #
    # @example Example: To describe scaling activities for a scalable target
    #
    #   # This example describes the scaling activities for an Amazon ECS service called web-app that is running in the default
    #   # cluster.
    #
    #   resp = client.describe_scaling_activities({
    #     resource_id: "service/default/web-app", 
    #     scalable_dimension: "ecs:service:DesiredCount", 
    #     service_namespace: "ecs", 
    #   })
    #
    #   resp.to_h outputs the following:
    #   {
    #     scaling_activities: [
    #       {
    #         activity_id: "e6c5f7d1-dbbb-4a3f-89b2-51f33e766399", 
    #         cause: "monitor alarm web-app-cpu-lt-25 in state ALARM triggered policy web-app-cpu-lt-25", 
    #         description: "Setting desired count to 1.", 
    #         end_time: Time.parse("2019-05-06T16:04:32.111Z"), 
    #         resource_id: "service/default/web-app", 
    #         scalable_dimension: "ecs:service:DesiredCount", 
    #         service_namespace: "ecs", 
    #         start_time: Time.parse("2019-05-06T16:03:58.171Z"), 
    #         status_code: "Successful", 
    #         status_message: "Successfully set desired count to 1. Change successfully fulfilled by ecs.", 
    #       }, 
    #     ], 
    #   }
    #
    # @example Request syntax with placeholder values
    #
    #   resp = client.describe_scaling_activities({
    #     service_namespace: "ecs", # required, accepts ecs, elasticmapreduce, ec2, appstream, dynamodb, rds, sagemaker, custom-resource, comprehend, lambda, cassandra, kafka, elasticache, neptune, workspaces
    #     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:cache-cluster:Nodes, elasticache:replication-group:NodeGroups, elasticache:replication-group:Replicas, neptune:cluster:ReadReplicaCount, sagemaker:variant:DesiredProvisionedConcurrency, sagemaker:inference-component:DesiredCopyCount, workspaces:workspacespool:DesiredUserSessions
    #     max_results: 1,
    #     next_token: "XmlString",
    #     include_not_scaled_activities: false,
    #   })
    #
    # @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", "workspaces"
    #   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:cache-cluster:Nodes", "elasticache:replication-group:NodeGroups", "elasticache:replication-group:Replicas", "neptune:cluster:ReadReplicaCount", "sagemaker:variant:DesiredProvisionedConcurrency", "sagemaker:inference-component:DesiredCopyCount", "workspaces:workspacespool:DesiredUserSessions"
    #   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.scaling_activities[0].not_scaled_reasons #=> Array
    #   resp.scaling_activities[0].not_scaled_reasons[0].code #=> String
    #   resp.scaling_activities[0].not_scaled_reasons[0].max_capacity #=> Integer
    #   resp.scaling_activities[0].not_scaled_reasons[0].min_capacity #=> Integer
    #   resp.scaling_activities[0].not_scaled_reasons[0].current_capacity #=> Integer
    #   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<String>] :policy_names
    #   The names of the scaling policies to describe.
    #
    # @option params [required, String] :service_namespace
    #   The namespace of the Amazon Web Services service that provides the
    #   resource. For a resource provided by your own application or service,
    #   use `custom-resource` instead.
    #
    # @option params [String] :resource_id
    #   The identifier of the resource associated with the scaling policy.
    #   This string consists of the resource type and unique identifier.
    #
    #   * ECS service - The resource type is `service` and the unique
    #     identifier is the cluster name and service name. Example:
    #     `service/my-cluster/my-service`.
    #
    #   * 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`.
    #
    #   * Amazon ElastiCache cache cluster - The resource type is
    #     `cache-cluster` and the unique identifier is the cache cluster name.
    #     Example: `cache-cluster/mycluster`.
    #
    #   * Neptune cluster - The resource type is `cluster` and the unique
    #     identifier is the cluster name. Example: `cluster:mycluster`.
    #
    #   * SageMaker serverless endpoint - The resource type is `variant` and
    #     the unique identifier is the resource ID. Example:
    #     `endpoint/my-end-point/variant/KMeansClustering`.
    #
    #   * SageMaker inference component - The resource type is
    #     `inference-component` and the unique identifier is the resource ID.
    #     Example: `inference-component/my-inference-component`.
    #
    #   * Pool of WorkSpaces - The resource type is `workspacespool` and the
    #     unique identifier is the pool ID. Example:
    #     `workspacespool/wspool-123456`.
    #
    #
    #
    #   [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 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 capacity of an AppStream 2.0
    #     fleet.
    #
    #   * `dynamodb:table:ReadCapacityUnits` - The provisioned read capacity
    #     for a DynamoDB table.
    #
    #   * `dynamodb:table:WriteCapacityUnits` - The provisioned write capacity
    #     for a DynamoDB table.
    #
    #   * `dynamodb:index:ReadCapacityUnits` - The provisioned read capacity
    #     for a DynamoDB global secondary index.
    #
    #   * `dynamodb:index:WriteCapacityUnits` - The provisioned write capacity
    #     for a DynamoDB global secondary index.
    #
    #   * `rds:cluster:ReadReplicaCount` - The count of Aurora Replicas in an
    #     Aurora DB cluster. Available for Aurora MySQL-compatible edition and
    #     Aurora PostgreSQL-compatible edition.
    #
    #   * `sagemaker:variant:DesiredInstanceCount` - The number of EC2
    #     instances for a SageMaker model endpoint variant.
    #
    #   * `custom-resource:ResourceType:Property` - The scalable dimension for
    #     a custom resource provided by your own application or service.
    #
    #   * `comprehend:document-classifier-endpoint:DesiredInferenceUnits` -
    #     The number of inference units for an Amazon Comprehend document
    #     classification endpoint.
    #
    #   * `comprehend:entity-recognizer-endpoint:DesiredInferenceUnits` - The
    #     number of inference units for an Amazon Comprehend entity recognizer
    #     endpoint.
    #
    #   * `lambda:function:ProvisionedConcurrency` - The provisioned
    #     concurrency for a Lambda function.
    #
    #   * `cassandra:table:ReadCapacityUnits` - The provisioned read capacity
    #     for an Amazon Keyspaces table.
    #
    #   * `cassandra:table:WriteCapacityUnits` - The provisioned write
    #     capacity for an Amazon Keyspaces table.
    #
    #   * `kafka:broker-storage:VolumeSize` - The provisioned volume size (in
    #     GiB) for brokers in an Amazon MSK cluster.
    #
    #   * `elasticache:cache-cluster:Nodes` - The number of nodes for an
    #     Amazon ElastiCache cache cluster.
    #
    #   * `elasticache:replication-group:NodeGroups` - The number of node
    #     groups for an Amazon ElastiCache replication group.
    #
    #   * `elasticache:replication-group:Replicas` - The number of replicas
    #     per node group for an Amazon ElastiCache replication group.
    #
    #   * `neptune:cluster:ReadReplicaCount` - The count of read replicas in
    #     an Amazon Neptune DB cluster.
    #
    #   * `sagemaker:variant:DesiredProvisionedConcurrency` - The provisioned
    #     concurrency for a SageMaker serverless endpoint.
    #
    #   * `sagemaker:inference-component:DesiredCopyCount` - The number of
    #     copies across an endpoint for a SageMaker inference component.
    #
    #   * `workspaces:workspacespool:DesiredUserSessions` - The number of user
    #     sessions for the WorkSpaces in the pool.
    #
    # @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&lt;Types::ScalingPolicy&gt;
    #   * {Types::DescribeScalingPoliciesResponse#next_token #next_token} => String
    #
    # The returned {Seahorse::Client::Response response} is a pageable response and is Enumerable. For details on usage see {Aws::PageableResponse PageableResponse}.
    #
    #
    # @example Example: To describe scaling policies
    #
    #   # This example describes the scaling policies for the ECS service namespace.
    #
    #   resp = client.describe_scaling_policies({
    #     service_namespace: "ecs", 
    #   })
    #
    #   resp.to_h outputs the following:
    #   {
    #     next_token: "", 
    #     scaling_policies: [
    #       {
    #         alarms: [
    #           {
    #             alarm_arn: "arn:aws:cloudwatch:us-west-2:012345678910:alarm:web-app-cpu-gt-75", 
    #             alarm_name: "web-app-cpu-gt-75", 
    #           }, 
    #         ], 
    #         creation_time: Time.parse("2019-05-06T12:11:39.230Z"), 
    #         policy_arn: "arn:aws:autoscaling:us-west-2:012345678910:scalingPolicy:6d8972f3-efc8-437c-92d1-6270f29a66e7:resource/ecs/service/default/web-app:policyName/web-app-cpu-gt-75", 
    #         policy_name: "web-app-cpu-gt-75", 
    #         policy_type: "StepScaling", 
    #         resource_id: "service/default/web-app", 
    #         scalable_dimension: "ecs:service:DesiredCount", 
    #         service_namespace: "ecs", 
    #         step_scaling_policy_configuration: {
    #           adjustment_type: "PercentChangeInCapacity", 
    #           cooldown: 60, 
    #           step_adjustments: [
    #             {
    #               metric_interval_lower_bound: 0, 
    #               scaling_adjustment: 200, 
    #             }, 
    #           ], 
    #         }, 
    #       }, 
    #     ], 
    #   }
    #
    # @example Request syntax with placeholder values
    #
    #   resp = client.describe_scaling_policies({
    #     policy_names: ["ResourceIdMaxLen1600"],
    #     service_namespace: "ecs", # required, accepts ecs, elasticmapreduce, ec2, appstream, dynamodb, rds, sagemaker, custom-resource, comprehend, lambda, cassandra, kafka, elasticache, neptune, workspaces
    #     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:cache-cluster:Nodes, elasticache:replication-group:NodeGroups, elasticache:replication-group:Replicas, neptune:cluster:ReadReplicaCount, sagemaker:variant:DesiredProvisionedConcurrency, sagemaker:inference-component:DesiredCopyCount, workspaces:workspacespool:DesiredUserSessions
    #     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", "workspaces"
    #   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:cache-cluster:Nodes", "elasticache:replication-group:NodeGroups", "elasticache:replication-group:Replicas", "neptune:cluster:ReadReplicaCount", "sagemaker:variant:DesiredProvisionedConcurrency", "sagemaker:inference-component:DesiredCopyCount", "workspaces:workspacespool:DesiredUserSessions"
    #   resp.scaling_policies[0].policy_type #=> String, one of "StepScaling", "TargetTrackingScaling", "PredictiveScaling"
    #   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", "ElastiCacheEngineCPUUtilization", "ElastiCacheDatabaseMemoryUsagePercentage", "ElastiCachePrimaryEngineCPUUtilization", "ElastiCacheReplicaEngineCPUUtilization", "ElastiCacheDatabaseMemoryUsageCountedForEvictPercentage", "NeptuneReaderAverageCPUUtilization", "SageMakerVariantProvisionedConcurrencyUtilization", "ElastiCacheDatabaseCapacityUsageCountedForEvictPercentage", "SageMakerInferenceComponentInvocationsPerCopy", "WorkSpacesAverageUserSessionsCapacityUtilization", "SageMakerInferenceComponentConcurrentRequestsPerCopyHighResolution", "SageMakerVariantConcurrentRequestsPerModelHighResolution"
    #   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.customized_metric_specification.metrics #=> Array
    #   resp.scaling_policies[0].target_tracking_scaling_policy_configuration.customized_metric_specification.metrics[0].expression #=> String
    #   resp.scaling_policies[0].target_tracking_scaling_policy_configuration.customized_metric_specification.metrics[0].id #=> String
    #   resp.scaling_policies[0].target_tracking_scaling_policy_configuration.customized_metric_specification.metrics[0].label #=> String
    #   resp.scaling_policies[0].target_tracking_scaling_policy_configuration.customized_metric_specification.metrics[0].metric_stat.metric.dimensions #=> Array
    #   resp.scaling_policies[0].target_tracking_scaling_policy_configuration.customized_metric_specification.metrics[0].metric_stat.metric.dimensions[0].name #=> String
    #   resp.scaling_policies[0].target_tracking_scaling_policy_configuration.customized_metric_specification.metrics[0].metric_stat.metric.dimensions[0].value #=> String
    #   resp.scaling_policies[0].target_tracking_scaling_policy_configuration.customized_metric_specification.metrics[0].metric_stat.metric.metric_name #=> String
    #   resp.scaling_policies[0].target_tracking_scaling_policy_configuration.customized_metric_specification.metrics[0].metric_stat.metric.namespace #=> String
    #   resp.scaling_policies[0].target_tracking_scaling_policy_configuration.customized_metric_specification.metrics[0].metric_stat.stat #=> String
    #   resp.scaling_policies[0].target_tracking_scaling_policy_configuration.customized_metric_specification.metrics[0].metric_stat.unit #=> String
    #   resp.scaling_policies[0].target_tracking_scaling_policy_configuration.customized_metric_specification.metrics[0].return_data #=> Boolean
    #   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].predictive_scaling_policy_configuration.metric_specifications #=> Array
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].target_value #=> Float
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].predefined_metric_pair_specification.predefined_metric_type #=> String
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].predefined_metric_pair_specification.resource_label #=> String
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].predefined_scaling_metric_specification.predefined_metric_type #=> String
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].predefined_scaling_metric_specification.resource_label #=> String
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].predefined_load_metric_specification.predefined_metric_type #=> String
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].predefined_load_metric_specification.resource_label #=> String
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].customized_scaling_metric_specification.metric_data_queries #=> Array
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].customized_scaling_metric_specification.metric_data_queries[0].id #=> String
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].customized_scaling_metric_specification.metric_data_queries[0].expression #=> String
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].customized_scaling_metric_specification.metric_data_queries[0].metric_stat.metric.dimensions #=> Array
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].customized_scaling_metric_specification.metric_data_queries[0].metric_stat.metric.dimensions[0].name #=> String
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].customized_scaling_metric_specification.metric_data_queries[0].metric_stat.metric.dimensions[0].value #=> String
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].customized_scaling_metric_specification.metric_data_queries[0].metric_stat.metric.metric_name #=> String
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].customized_scaling_metric_specification.metric_data_queries[0].metric_stat.metric.namespace #=> String
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].customized_scaling_metric_specification.metric_data_queries[0].metric_stat.stat #=> String
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].customized_scaling_metric_specification.metric_data_queries[0].metric_stat.unit #=> String
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].customized_scaling_metric_specification.metric_data_queries[0].label #=> String
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].customized_scaling_metric_specification.metric_data_queries[0].return_data #=> Boolean
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].customized_load_metric_specification.metric_data_queries #=> Array
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].customized_load_metric_specification.metric_data_queries[0].id #=> String
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].customized_load_metric_specification.metric_data_queries[0].expression #=> String
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].customized_load_metric_specification.metric_data_queries[0].metric_stat.metric.dimensions #=> Array
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].customized_load_metric_specification.metric_data_queries[0].metric_stat.metric.dimensions[0].name #=> String
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].customized_load_metric_specification.metric_data_queries[0].metric_stat.metric.dimensions[0].value #=> String
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].customized_load_metric_specification.metric_data_queries[0].metric_stat.metric.metric_name #=> String
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].customized_load_metric_specification.metric_data_queries[0].metric_stat.metric.namespace #=> String
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].customized_load_metric_specification.metric_data_queries[0].metric_stat.stat #=> String
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].customized_load_metric_specification.metric_data_queries[0].metric_stat.unit #=> String
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].customized_load_metric_specification.metric_data_queries[0].label #=> String
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].customized_load_metric_specification.metric_data_queries[0].return_data #=> Boolean
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].customized_capacity_metric_specification.metric_data_queries #=> Array
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].customized_capacity_metric_specification.metric_data_queries[0].id #=> String
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].customized_capacity_metric_specification.metric_data_queries[0].expression #=> String
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].customized_capacity_metric_specification.metric_data_queries[0].metric_stat.metric.dimensions #=> Array
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].customized_capacity_metric_specification.metric_data_queries[0].metric_stat.metric.dimensions[0].name #=> String
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].customized_capacity_metric_specification.metric_data_queries[0].metric_stat.metric.dimensions[0].value #=> String
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].customized_capacity_metric_specification.metric_data_queries[0].metric_stat.metric.metric_name #=> String
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].customized_capacity_metric_specification.metric_data_queries[0].metric_stat.metric.namespace #=> String
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].customized_capacity_metric_specification.metric_data_queries[0].metric_stat.stat #=> String
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].customized_capacity_metric_specification.metric_data_queries[0].metric_stat.unit #=> String
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].customized_capacity_metric_specification.metric_data_queries[0].label #=> String
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.metric_specifications[0].customized_capacity_metric_specification.metric_data_queries[0].return_data #=> Boolean
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.mode #=> String, one of "ForecastOnly", "ForecastAndScale"
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.scheduling_buffer_time #=> Integer
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.max_capacity_breach_behavior #=> String, one of "HonorMaxCapacity", "IncreaseMaxCapacity"
    #   resp.scaling_policies[0].predictive_scaling_policy_configuration.max_capacity_buffer #=> Integer
    #   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] in the *Application
    # Auto Scaling User Guide*.
    #
    #
    #
    # [1]: https://docs.aws.amazon.com/autoscaling/application/userguide/application-auto-scaling-scheduled-scaling.html
    #
    # @option params [Array<String>] :scheduled_action_names
    #   The names of the scheduled actions to describe.
    #
    # @option params [required, String] :service_namespace
    #   The namespace of the Amazon Web Services service that provides the
    #   resource. For a resource provided by your own application or service,
    #   use `custom-resource` instead.
    #
    # @option params [String] :resource_id
    #   The identifier of the resource associated with the scheduled action.
    #   This string consists of the resource type and unique identifier.
    #
    #   * ECS service - The resource type is `service` and the unique
    #     identifier is the cluster name and service name. Example:
    #     `service/my-cluster/my-service`.
    #
    #   * 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`.
    #
    #   * Amazon ElastiCache cache cluster - The resource type is
    #     `cache-cluster` and the unique identifier is the cache cluster name.
    #     Example: `cache-cluster/mycluster`.
    #
    #   * Neptune cluster - The resource type is `cluster` and the unique
    #     identifier is the cluster name. Example: `cluster:mycluster`.
    #
    #   * SageMaker serverless endpoint - The resource type is `variant` and
    #     the unique identifier is the resource ID. Example:
    #     `endpoint/my-end-point/variant/KMeansClustering`.
    #
    #   * SageMaker inference component - The resource type is
    #     `inference-component` and the unique identifier is the resource ID.
    #     Example: `inference-component/my-inference-component`.
    #
    #   * Pool of WorkSpaces - The resource type is `workspacespool` and the
    #     unique identifier is the pool ID. Example:
    #     `workspacespool/wspool-123456`.
    #
    #
    #
    #   [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 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 capacity of an AppStream 2.0
    #     fleet.
    #
    #   * `dynamodb:table:ReadCapacityUnits` - The provisioned read capacity
    #     for a DynamoDB table.
    #
    #   * `dynamodb:table:WriteCapacityUnits` - The provisioned write capacity
    #     for a DynamoDB table.
    #
    #   * `dynamodb:index:ReadCapacityUnits` - The provisioned read capacity
    #     for a DynamoDB global secondary index.
    #
    #   * `dynamodb:index:WriteCapacityUnits` - The provisioned write capacity
    #     for a DynamoDB global secondary index.
    #
    #   * `rds:cluster:ReadReplicaCount` - The count of Aurora Replicas in an
    #     Aurora DB cluster. Available for Aurora MySQL-compatible edition and
    #     Aurora PostgreSQL-compatible edition.
    #
    #   * `sagemaker:variant:DesiredInstanceCount` - The number of EC2
    #     instances for a SageMaker model endpoint variant.
    #
    #   * `custom-resource:ResourceType:Property` - The scalable dimension for
    #     a custom resource provided by your own application or service.
    #
    #   * `comprehend:document-classifier-endpoint:DesiredInferenceUnits` -
    #     The number of inference units for an Amazon Comprehend document
    #     classification endpoint.
    #
    #   * `comprehend:entity-recognizer-endpoint:DesiredInferenceUnits` - The
    #     number of inference units for an Amazon Comprehend entity recognizer
    #     endpoint.
    #
    #   * `lambda:function:ProvisionedConcurrency` - The provisioned
    #     concurrency for a Lambda function.
    #
    #   * `cassandra:table:ReadCapacityUnits` - The provisioned read capacity
    #     for an Amazon Keyspaces table.
    #
    #   * `cassandra:table:WriteCapacityUnits` - The provisioned write
    #     capacity for an Amazon Keyspaces table.
    #
    #   * `kafka:broker-storage:VolumeSize` - The provisioned volume size (in
    #     GiB) for brokers in an Amazon MSK cluster.
    #
    #   * `elasticache:cache-cluster:Nodes` - The number of nodes for an
    #     Amazon ElastiCache cache cluster.
    #
    #   * `elasticache:replication-group:NodeGroups` - The number of node
    #     groups for an Amazon ElastiCache replication group.
    #
    #   * `elasticache:replication-group:Replicas` - The number of replicas
    #     per node group for an Amazon ElastiCache replication group.
    #
    #   * `neptune:cluster:ReadReplicaCount` - The count of read replicas in
    #     an Amazon Neptune DB cluster.
    #
    #   * `sagemaker:variant:DesiredProvisionedConcurrency` - The provisioned
    #     concurrency for a SageMaker serverless endpoint.
    #
    #   * `sagemaker:inference-component:DesiredCopyCount` - The number of
    #     copies across an endpoint for a SageMaker inference component.
    #
    #   * `workspaces:workspacespool:DesiredUserSessions` - The number of user
    #     sessions for the WorkSpaces in the pool.
    #
    # @option params [Integer] :max_results
    #   The maximum number of scheduled action results. This value can be
    #   between 1 and 50. The default value is 50.
    #
    #   If this parameter is used, the operation returns up to `MaxResults`
    #   results at a time, along with a `NextToken` value. To get the next set
    #   of results, include the `NextToken` value in a subsequent call. If
    #   this parameter is not used, the operation returns up to 50 results and
    #   a `NextToken` value, if applicable.
    #
    # @option params [String] :next_token
    #   The token for the next set of results.
    #
    # @return [Types::DescribeScheduledActionsResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods:
    #
    #   * {Types::DescribeScheduledActionsResponse#scheduled_actions #scheduled_actions} => Array&lt;Types::ScheduledAction&gt;
    #   * {Types::DescribeScheduledActionsResponse#next_token #next_token} => String
    #
    # The returned {Seahorse::Client::Response response} is a pageable response and is Enumerable. For details on usage see {Aws::PageableResponse PageableResponse}.
    #
    #
    # @example Example: To describe scheduled actions
    #
    #   # This example describes the scheduled actions for the dynamodb service namespace.
    #
    #   resp = client.describe_scheduled_actions({
    #     service_namespace: "dynamodb", 
    #   })
    #
    #   resp.to_h outputs the following:
    #   {
    #     scheduled_actions: [
    #       {
    #         creation_time: Time.parse(1561571888.361), 
    #         resource_id: "table/my-table", 
    #         scalable_dimension: "dynamodb:table:WriteCapacityUnits", 
    #         scalable_target_action: {
    #           max_capacity: 20, 
    #           min_capacity: 15, 
    #         }, 
    #         schedule: "at(2019-05-20T18:35:00)", 
    #         scheduled_action_arn: "arn:aws:autoscaling:us-west-2:123456789012:scheduledAction:2d36aa3b-cdf9-4565-b290-81db519b227d:resource/dynamodb/table/my-table:scheduledActionName/my-first-scheduled-action", 
    #         scheduled_action_name: "my-first-scheduled-action", 
    #         service_namespace: "dynamodb", 
    #       }, 
    #       {
    #         creation_time: Time.parse(1561571946.021), 
    #         resource_id: "table/my-table", 
    #         scalable_dimension: "dynamodb:table:WriteCapacityUnits", 
    #         scalable_target_action: {
    #           max_capacity: 10, 
    #           min_capacity: 5, 
    #         }, 
    #         schedule: "at(2019-05-20T18:40:00)", 
    #         scheduled_action_arn: "arn:aws:autoscaling:us-west-2:123456789012:scheduledAction:2d36aa3b-cdf9-4565-b290-81db519b227d:resource/dynamodb/table/my-table:scheduledActionName/my-second-scheduled-action", 
    #         scheduled_action_name: "my-second-scheduled-action", 
    #         service_namespace: "dynamodb", 
    #       }, 
    #     ], 
    #   }
    #
    # @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, workspaces
    #     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:cache-cluster:Nodes, elasticache:replication-group:NodeGroups, elasticache:replication-group:Replicas, neptune:cluster:ReadReplicaCount, sagemaker:variant:DesiredProvisionedConcurrency, sagemaker:inference-component:DesiredCopyCount, workspaces:workspacespool:DesiredUserSessions
    #     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", "workspaces"
    #   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:cache-cluster:Nodes", "elasticache:replication-group:NodeGroups", "elasticache:replication-group:Replicas", "neptune:cluster:ReadReplicaCount", "sagemaker:variant:DesiredProvisionedConcurrency", "sagemaker:inference-component:DesiredCopyCount", "workspaces:workspacespool:DesiredUserSessions"
    #   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

    # Retrieves the forecast data for a predictive scaling policy.
    #
    # Load forecasts are predictions of the hourly load values using
    # historical load data from CloudWatch and an analysis of historical
    # trends. Capacity forecasts are represented as predicted values for the
    # minimum capacity that is needed on an hourly basis, based on the
    # hourly load forecast.
    #
    # A minimum of 24 hours of data is required to create the initial
    # forecasts. However, having a full 14 days of historical data results
    # in more accurate forecasts.
    #
    # @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.
    #
    # @option params [required, String] :scalable_dimension
    #   The scalable dimension.
    #
    # @option params [required, String] :policy_name
    #   The name of the policy.
    #
    # @option params [required, Time,DateTime,Date,Integer,String] :start_time
    #   The inclusive start time of the time range for the forecast data to
    #   get. At most, the date and time can be one year before the current
    #   date and time
    #
    # @option params [required, Time,DateTime,Date,Integer,String] :end_time
    #   The exclusive end time of the time range for the forecast data to get.
    #   The maximum time duration between the start and end time is 30 days.
    #
    # @return [Types::GetPredictiveScalingForecastResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods:
    #
    #   * {Types::GetPredictiveScalingForecastResponse#load_forecast #load_forecast} => Array&lt;Types::LoadForecast&gt;
    #   * {Types::GetPredictiveScalingForecastResponse#capacity_forecast #capacity_forecast} => Types::CapacityForecast
    #   * {Types::GetPredictiveScalingForecastResponse#update_time #update_time} => Time
    #
    # @example Request syntax with placeholder values
    #
    #   resp = client.get_predictive_scaling_forecast({
    #     service_namespace: "ecs", # required, accepts ecs, elasticmapreduce, ec2, appstream, dynamodb, rds, sagemaker, custom-resource, comprehend, lambda, cassandra, kafka, elasticache, neptune, workspaces
    #     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:cache-cluster:Nodes, elasticache:replication-group:NodeGroups, elasticache:replication-group:Replicas, neptune:cluster:ReadReplicaCount, sagemaker:variant:DesiredProvisionedConcurrency, sagemaker:inference-component:DesiredCopyCount, workspaces:workspacespool:DesiredUserSessions
    #     policy_name: "PolicyName", # required
    #     start_time: Time.now, # required
    #     end_time: Time.now, # required
    #   })
    #
    # @example Response structure
    #
    #   resp.load_forecast #=> Array
    #   resp.load_forecast[0].timestamps #=> Array
    #   resp.load_forecast[0].timestamps[0] #=> Time
    #   resp.load_forecast[0].values #=> Array
    #   resp.load_forecast[0].values[0] #=> Float
    #   resp.load_forecast[0].metric_specification.target_value #=> Float
    #   resp.load_forecast[0].metric_specification.predefined_metric_pair_specification.predefined_metric_type #=> String
    #   resp.load_forecast[0].metric_specification.predefined_metric_pair_specification.resource_label #=> String
    #   resp.load_forecast[0].metric_specification.predefined_scaling_metric_specification.predefined_metric_type #=> String
    #   resp.load_forecast[0].metric_specification.predefined_scaling_metric_specification.resource_label #=> String
    #   resp.load_forecast[0].metric_specification.predefined_load_metric_specification.predefined_metric_type #=> String
    #   resp.load_forecast[0].metric_specification.predefined_load_metric_specification.resource_label #=> String
    #   resp.load_forecast[0].metric_specification.customized_scaling_metric_specification.metric_data_queries #=> Array
    #   resp.load_forecast[0].metric_specification.customized_scaling_metric_specification.metric_data_queries[0].id #=> String
    #   resp.load_forecast[0].metric_specification.customized_scaling_metric_specification.metric_data_queries[0].expression #=> String
    #   resp.load_forecast[0].metric_specification.customized_scaling_metric_specification.metric_data_queries[0].metric_stat.metric.dimensions #=> Array
    #   resp.load_forecast[0].metric_specification.customized_scaling_metric_specification.metric_data_queries[0].metric_stat.metric.dimensions[0].name #=> String
    #   resp.load_forecast[0].metric_specification.customized_scaling_metric_specification.metric_data_queries[0].metric_stat.metric.dimensions[0].value #=> String
    #   resp.load_forecast[0].metric_specification.customized_scaling_metric_specification.metric_data_queries[0].metric_stat.metric.metric_name #=> String
    #   resp.load_forecast[0].metric_specification.customized_scaling_metric_specification.metric_data_queries[0].metric_stat.metric.namespace #=> String
    #   resp.load_forecast[0].metric_specification.customized_scaling_metric_specification.metric_data_queries[0].metric_stat.stat #=> String
    #   resp.load_forecast[0].metric_specification.customized_scaling_metric_specification.metric_data_queries[0].metric_stat.unit #=> String
    #   resp.load_forecast[0].metric_specification.customized_scaling_metric_specification.metric_data_queries[0].label #=> String
    #   resp.load_forecast[0].metric_specification.customized_scaling_metric_specification.metric_data_queries[0].return_data #=> Boolean
    #   resp.load_forecast[0].metric_specification.customized_load_metric_specification.metric_data_queries #=> Array
    #   resp.load_forecast[0].metric_specification.customized_load_metric_specification.metric_data_queries[0].id #=> String
    #   resp.load_forecast[0].metric_specification.customized_load_metric_specification.metric_data_queries[0].expression #=> String
    #   resp.load_forecast[0].metric_specification.customized_load_metric_specification.metric_data_queries[0].metric_stat.metric.dimensions #=> Array
    #   resp.load_forecast[0].metric_specification.customized_load_metric_specification.metric_data_queries[0].metric_stat.metric.dimensions[0].name #=> String
    #   resp.load_forecast[0].metric_specification.customized_load_metric_specification.metric_data_queries[0].metric_stat.metric.dimensions[0].value #=> String
    #   resp.load_forecast[0].metric_specification.customized_load_metric_specification.metric_data_queries[0].metric_stat.metric.metric_name #=> String
    #   resp.load_forecast[0].metric_specification.customized_load_metric_specification.metric_data_queries[0].metric_stat.metric.namespace #=> String
    #   resp.load_forecast[0].metric_specification.customized_load_metric_specification.metric_data_queries[0].metric_stat.stat #=> String
    #   resp.load_forecast[0].metric_specification.customized_load_metric_specification.metric_data_queries[0].metric_stat.unit #=> String
    #   resp.load_forecast[0].metric_specification.customized_load_metric_specification.metric_data_queries[0].label #=> String
    #   resp.load_forecast[0].metric_specification.customized_load_metric_specification.metric_data_queries[0].return_data #=> Boolean
    #   resp.load_forecast[0].metric_specification.customized_capacity_metric_specification.metric_data_queries #=> Array
    #   resp.load_forecast[0].metric_specification.customized_capacity_metric_specification.metric_data_queries[0].id #=> String
    #   resp.load_forecast[0].metric_specification.customized_capacity_metric_specification.metric_data_queries[0].expression #=> String
    #   resp.load_forecast[0].metric_specification.customized_capacity_metric_specification.metric_data_queries[0].metric_stat.metric.dimensions #=> Array
    #   resp.load_forecast[0].metric_specification.customized_capacity_metric_specification.metric_data_queries[0].metric_stat.metric.dimensions[0].name #=> String
    #   resp.load_forecast[0].metric_specification.customized_capacity_metric_specification.metric_data_queries[0].metric_stat.metric.dimensions[0].value #=> String
    #   resp.load_forecast[0].metric_specification.customized_capacity_metric_specification.metric_data_queries[0].metric_stat.metric.metric_name #=> String
    #   resp.load_forecast[0].metric_specification.customized_capacity_metric_specification.metric_data_queries[0].metric_stat.metric.namespace #=> String
    #   resp.load_forecast[0].metric_specification.customized_capacity_metric_specification.metric_data_queries[0].metric_stat.stat #=> String
    #   resp.load_forecast[0].metric_specification.customized_capacity_metric_specification.metric_data_queries[0].metric_stat.unit #=> String
    #   resp.load_forecast[0].metric_specification.customized_capacity_metric_specification.metric_data_queries[0].label #=> String
    #   resp.load_forecast[0].metric_specification.customized_capacity_metric_specification.metric_data_queries[0].return_data #=> Boolean
    #   resp.capacity_forecast.timestamps #=> Array
    #   resp.capacity_forecast.timestamps[0] #=> Time
    #   resp.capacity_forecast.values #=> Array
    #   resp.capacity_forecast.values[0] #=> Float
    #   resp.update_time #=> Time
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/application-autoscaling-2016-02-06/GetPredictiveScalingForecast AWS API Documentation
    #
    # @overload get_predictive_scaling_forecast(params = {})
    # @param [Hash] params ({})
    def get_predictive_scaling_forecast(params = {}, options = {})
      req = build_request(:get_predictive_scaling_forecast, params)
      req.send_request(options)
    end

    # Returns all the tags on the specified Application Auto Scaling
    # scalable target.
    #
    # For general information about tags, including the format and syntax,
    # see [Tagging your Amazon Web Services resources][1] in the *Amazon Web
    # Services General Reference*.
    #
    #
    #
    # [1]: https://docs.aws.amazon.com/general/latest/gr/aws_tagging.html
    #
    # @option params [required, String] :resource_arn
    #   Specify the ARN of the scalable target.
    #
    #   For example:
    #   `arn:aws:application-autoscaling:us-east-1:123456789012:scalable-target/1234abcd56ab78cd901ef1234567890ab123`
    #
    #   To get the ARN for a scalable target, use DescribeScalableTargets.
    #
    # @return [Types::ListTagsForResourceResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods:
    #
    #   * {Types::ListTagsForResourceResponse#tags #tags} => Hash&lt;String,String&gt;
    #
    #
    # @example Example: To list tags for a scalable target
    #
    #   # This example lists the tag key names and values that are attached to the scalable target specified by its ARN.
    #
    #   resp = client.list_tags_for_resource({
    #     resource_arn: "arn:aws:application-autoscaling:us-west-2:123456789012:scalable-target/1234abcd56ab78cd901ef1234567890ab123", 
    #   })
    #
    #   resp.to_h outputs the following:
    #   {
    #     tags: {
    #       "environment" => "production", 
    #     }, 
    #   }
    #
    # @example Request syntax with placeholder values
    #
    #   resp = client.list_tags_for_resource({
    #     resource_arn: "AmazonResourceName", # required
    #   })
    #
    # @example Response structure
    #
    #   resp.tags #=> Hash
    #   resp.tags["TagKey"] #=> String
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/application-autoscaling-2016-02-06/ListTagsForResource AWS API Documentation
    #
    # @overload list_tags_for_resource(params = {})
    # @param [Hash] params ({})
    def list_tags_for_resource(params = {}, options = {})
      req = build_request(:list_tags_for_resource, 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], [Step
    # scaling policies][2], and [Predictive scaling policies][3] in the
    # *Application Auto Scaling User Guide*.
    #
    # <note markdown="1"> If a scalable target is deregistered, the scalable target is no longer
    # available to use scaling policies. Any scaling policies that were
    # specified for the scalable target are deleted.
    #
    #  </note>
    #
    #
    #
    # [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
    # [3]: https://docs.aws.amazon.com/autoscaling/application/userguide/aas-create-predictive-scaling-policy.html
    #
    # @option params [required, String] :policy_name
    #   The name of the scaling policy.
    #
    #   You cannot change the name of a scaling policy, but you can delete the
    #   original scaling policy and create a new scaling policy with the same
    #   settings and a different name.
    #
    # @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/my-cluster/my-service`.
    #
    #   * 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`.
    #
    #   * Amazon ElastiCache cache cluster - The resource type is
    #     `cache-cluster` and the unique identifier is the cache cluster name.
    #     Example: `cache-cluster/mycluster`.
    #
    #   * Neptune cluster - The resource type is `cluster` and the unique
    #     identifier is the cluster name. Example: `cluster:mycluster`.
    #
    #   * SageMaker serverless endpoint - The resource type is `variant` and
    #     the unique identifier is the resource ID. Example:
    #     `endpoint/my-end-point/variant/KMeansClustering`.
    #
    #   * SageMaker inference component - The resource type is
    #     `inference-component` and the unique identifier is the resource ID.
    #     Example: `inference-component/my-inference-component`.
    #
    #   * Pool of WorkSpaces - The resource type is `workspacespool` and the
    #     unique identifier is the pool ID. Example:
    #     `workspacespool/wspool-123456`.
    #
    #
    #
    #   [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 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 capacity of an AppStream 2.0
    #     fleet.
    #
    #   * `dynamodb:table:ReadCapacityUnits` - The provisioned read capacity
    #     for a DynamoDB table.
    #
    #   * `dynamodb:table:WriteCapacityUnits` - The provisioned write capacity
    #     for a DynamoDB table.
    #
    #   * `dynamodb:index:ReadCapacityUnits` - The provisioned read capacity
    #     for a DynamoDB global secondary index.
    #
    #   * `dynamodb:index:WriteCapacityUnits` - The provisioned write capacity
    #     for a DynamoDB global secondary index.
    #
    #   * `rds:cluster:ReadReplicaCount` - The count of Aurora Replicas in an
    #     Aurora DB cluster. Available for Aurora MySQL-compatible edition and
    #     Aurora PostgreSQL-compatible edition.
    #
    #   * `sagemaker:variant:DesiredInstanceCount` - The number of EC2
    #     instances for a SageMaker model endpoint variant.
    #
    #   * `custom-resource:ResourceType:Property` - The scalable dimension for
    #     a custom resource provided by your own application or service.
    #
    #   * `comprehend:document-classifier-endpoint:DesiredInferenceUnits` -
    #     The number of inference units for an Amazon Comprehend document
    #     classification endpoint.
    #
    #   * `comprehend:entity-recognizer-endpoint:DesiredInferenceUnits` - The
    #     number of inference units for an Amazon Comprehend entity recognizer
    #     endpoint.
    #
    #   * `lambda:function:ProvisionedConcurrency` - The provisioned
    #     concurrency for a Lambda function.
    #
    #   * `cassandra:table:ReadCapacityUnits` - The provisioned read capacity
    #     for an Amazon Keyspaces table.
    #
    #   * `cassandra:table:WriteCapacityUnits` - The provisioned write
    #     capacity for an Amazon Keyspaces table.
    #
    #   * `kafka:broker-storage:VolumeSize` - The provisioned volume size (in
    #     GiB) for brokers in an Amazon MSK cluster.
    #
    #   * `elasticache:cache-cluster:Nodes` - The number of nodes for an
    #     Amazon ElastiCache cache cluster.
    #
    #   * `elasticache:replication-group:NodeGroups` - The number of node
    #     groups for an Amazon ElastiCache replication group.
    #
    #   * `elasticache:replication-group:Replicas` - The number of replicas
    #     per node group for an Amazon ElastiCache replication group.
    #
    #   * `neptune:cluster:ReadReplicaCount` - The count of read replicas in
    #     an Amazon Neptune DB cluster.
    #
    #   * `sagemaker:variant:DesiredProvisionedConcurrency` - The provisioned
    #     concurrency for a SageMaker serverless endpoint.
    #
    #   * `sagemaker:inference-component:DesiredCopyCount` - The number of
    #     copies across an endpoint for a SageMaker inference component.
    #
    #   * `workspaces:workspacespool:DesiredUserSessions` - The number of user
    #     sessions for the WorkSpaces in the pool.
    #
    # @option params [String] :policy_type
    #   The scaling 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.
    #
    #   `PredictiveScaling`—Only supported for Amazon ECS.
    #
    #   For more information, see [Target tracking scaling policies][1], [Step
    #   scaling policies][2], and [Predictive scaling policies][3] 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
    #   [3]: https://docs.aws.amazon.com/autoscaling/application/userguide/aas-create-predictive-scaling-policy.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`.
    #
    # @option params [Types::PredictiveScalingPolicyConfiguration] :predictive_scaling_policy_configuration
    #   The configuration of the predictive scaling policy.
    #
    # @return [Types::PutScalingPolicyResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods:
    #
    #   * {Types::PutScalingPolicyResponse#policy_arn #policy_arn} => String
    #   * {Types::PutScalingPolicyResponse#alarms #alarms} => Array&lt;Types::Alarm&gt;
    #
    #
    # @example Example: To apply a target tracking scaling policy with a predefined metric specification
    #
    #   # The following example applies a target tracking scaling policy with a predefined metric specification to an Amazon ECS
    #   # service called web-app in the default cluster. The policy keeps the average CPU utilization of the service at 75
    #   # percent, with scale-out and scale-in cooldown periods of 60 seconds.
    #
    #   resp = client.put_scaling_policy({
    #     policy_name: "cpu75-target-tracking-scaling-policy", 
    #     policy_type: "TargetTrackingScaling", 
    #     resource_id: "service/default/web-app", 
    #     scalable_dimension: "ecs:service:DesiredCount", 
    #     service_namespace: "ecs", 
    #     target_tracking_scaling_policy_configuration: {
    #       predefined_metric_specification: {
    #         predefined_metric_type: "ECSServiceAverageCPUUtilization", 
    #       }, 
    #       scale_in_cooldown: 60, 
    #       scale_out_cooldown: 60, 
    #       target_value: 75, 
    #     }, 
    #   })
    #
    #   resp.to_h outputs the following:
    #   {
    #     alarms: [
    #       {
    #         alarm_arn: "arn:aws:cloudwatch:us-west-2:012345678910:alarm:TargetTracking-service/default/web-app-AlarmHigh-d4f0770c-b46e-434a-a60f-3b36d653feca", 
    #         alarm_name: "TargetTracking-service/default/web-app-AlarmHigh-d4f0770c-b46e-434a-a60f-3b36d653feca", 
    #       }, 
    #       {
    #         alarm_arn: "arn:aws:cloudwatch:us-west-2:012345678910:alarm:TargetTracking-service/default/web-app-AlarmLow-1b437334-d19b-4a63-a812-6c67aaf2910d", 
    #         alarm_name: "TargetTracking-service/default/web-app-AlarmLow-1b437334-d19b-4a63-a812-6c67aaf2910d", 
    #       }, 
    #     ], 
    #     policy_arn: "arn:aws:autoscaling:us-west-2:012345678910:scalingPolicy:6d8972f3-efc8-437c-92d1-6270f29a66e7:resource/ecs/service/default/web-app:policyName/cpu75-target-tracking-scaling-policy", 
    #   }
    #
    # @example Request syntax with placeholder values
    #
    #   resp = client.put_scaling_policy({
    #     policy_name: "PolicyName", # required
    #     service_namespace: "ecs", # required, accepts ecs, elasticmapreduce, ec2, appstream, dynamodb, rds, sagemaker, custom-resource, comprehend, lambda, cassandra, kafka, elasticache, neptune, workspaces
    #     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:cache-cluster:Nodes, elasticache:replication-group:NodeGroups, elasticache:replication-group:Replicas, neptune:cluster:ReadReplicaCount, sagemaker:variant:DesiredProvisionedConcurrency, sagemaker:inference-component:DesiredCopyCount, workspaces:workspacespool:DesiredUserSessions
    #     policy_type: "StepScaling", # accepts StepScaling, TargetTrackingScaling, PredictiveScaling
    #     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, ElastiCacheEngineCPUUtilization, ElastiCacheDatabaseMemoryUsagePercentage, ElastiCachePrimaryEngineCPUUtilization, ElastiCacheReplicaEngineCPUUtilization, ElastiCacheDatabaseMemoryUsageCountedForEvictPercentage, NeptuneReaderAverageCPUUtilization, SageMakerVariantProvisionedConcurrencyUtilization, ElastiCacheDatabaseCapacityUsageCountedForEvictPercentage, SageMakerInferenceComponentInvocationsPerCopy, WorkSpacesAverageUserSessionsCapacityUtilization, SageMakerInferenceComponentConcurrentRequestsPerCopyHighResolution, SageMakerVariantConcurrentRequestsPerModelHighResolution
    #         resource_label: "ResourceLabel",
    #       },
    #       customized_metric_specification: {
    #         metric_name: "MetricName",
    #         namespace: "MetricNamespace",
    #         dimensions: [
    #           {
    #             name: "MetricDimensionName", # required
    #             value: "MetricDimensionValue", # required
    #           },
    #         ],
    #         statistic: "Average", # accepts Average, Minimum, Maximum, SampleCount, Sum
    #         unit: "MetricUnit",
    #         metrics: [
    #           {
    #             expression: "Expression",
    #             id: "Id", # required
    #             label: "XmlString",
    #             metric_stat: {
    #               metric: { # required
    #                 dimensions: [
    #                   {
    #                     name: "TargetTrackingMetricDimensionName", # required
    #                     value: "TargetTrackingMetricDimensionValue", # required
    #                   },
    #                 ],
    #                 metric_name: "TargetTrackingMetricName",
    #                 namespace: "TargetTrackingMetricNamespace",
    #               },
    #               stat: "XmlString", # required
    #               unit: "TargetTrackingMetricUnit",
    #             },
    #             return_data: false,
    #           },
    #         ],
    #       },
    #       scale_out_cooldown: 1,
    #       scale_in_cooldown: 1,
    #       disable_scale_in: false,
    #     },
    #     predictive_scaling_policy_configuration: {
    #       metric_specifications: [ # required
    #         {
    #           target_value: 1.0, # required
    #           predefined_metric_pair_specification: {
    #             predefined_metric_type: "PredictiveScalingMetricType", # required
    #             resource_label: "ResourceLabel",
    #           },
    #           predefined_scaling_metric_specification: {
    #             predefined_metric_type: "PredictiveScalingMetricType", # required
    #             resource_label: "ResourceLabel",
    #           },
    #           predefined_load_metric_specification: {
    #             predefined_metric_type: "PredictiveScalingMetricType", # required
    #             resource_label: "ResourceLabel",
    #           },
    #           customized_scaling_metric_specification: {
    #             metric_data_queries: [ # required
    #               {
    #                 id: "Id", # required
    #                 expression: "Expression",
    #                 metric_stat: {
    #                   metric: { # required
    #                     dimensions: [
    #                       {
    #                         name: "PredictiveScalingMetricDimensionName", # required
    #                         value: "PredictiveScalingMetricDimensionValue", # required
    #                       },
    #                     ],
    #                     metric_name: "PredictiveScalingMetricName",
    #                     namespace: "PredictiveScalingMetricNamespace",
    #                   },
    #                   stat: "XmlString", # required
    #                   unit: "PredictiveScalingMetricUnit",
    #                 },
    #                 label: "XmlString",
    #                 return_data: false,
    #               },
    #             ],
    #           },
    #           customized_load_metric_specification: {
    #             metric_data_queries: [ # required
    #               {
    #                 id: "Id", # required
    #                 expression: "Expression",
    #                 metric_stat: {
    #                   metric: { # required
    #                     dimensions: [
    #                       {
    #                         name: "PredictiveScalingMetricDimensionName", # required
    #                         value: "PredictiveScalingMetricDimensionValue", # required
    #                       },
    #                     ],
    #                     metric_name: "PredictiveScalingMetricName",
    #                     namespace: "PredictiveScalingMetricNamespace",
    #                   },
    #                   stat: "XmlString", # required
    #                   unit: "PredictiveScalingMetricUnit",
    #                 },
    #                 label: "XmlString",
    #                 return_data: false,
    #               },
    #             ],
    #           },
    #           customized_capacity_metric_specification: {
    #             metric_data_queries: [ # required
    #               {
    #                 id: "Id", # required
    #                 expression: "Expression",
    #                 metric_stat: {
    #                   metric: { # required
    #                     dimensions: [
    #                       {
    #                         name: "PredictiveScalingMetricDimensionName", # required
    #                         value: "PredictiveScalingMetricDimensionValue", # required
    #                       },
    #                     ],
    #                     metric_name: "PredictiveScalingMetricName",
    #                     namespace: "PredictiveScalingMetricNamespace",
    #                   },
    #                   stat: "XmlString", # required
    #                   unit: "PredictiveScalingMetricUnit",
    #                 },
    #                 label: "XmlString",
    #                 return_data: false,
    #               },
    #             ],
    #           },
    #         },
    #       ],
    #       mode: "ForecastOnly", # accepts ForecastOnly, ForecastAndScale
    #       scheduling_buffer_time: 1,
    #       max_capacity_breach_behavior: "HonorMaxCapacity", # accepts HonorMaxCapacity, IncreaseMaxCapacity
    #       max_capacity_buffer: 1,
    #     },
    #   })
    #
    # @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 you specify start and end times 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*.
    #
    # <note markdown="1"> If a scalable target is deregistered, the scalable target is no longer
    # available to run scheduled actions. Any scheduled actions that were
    # specified for the scalable target are deleted.
    #
    #  </note>
    #
    #
    #
    # [1]: 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, see [Schedule recurring scaling actions using
    #   cron expressions][1] in the *Application Auto Scaling User Guide*.
    #
    #
    #
    #   [1]: https://docs.aws.amazon.com/autoscaling/application/userguide/scheduled-scaling-using-cron-expressions.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/my-cluster/my-service`.
    #
    #   * 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`.
    #
    #   * Amazon ElastiCache cache cluster - The resource type is
    #     `cache-cluster` and the unique identifier is the cache cluster name.
    #     Example: `cache-cluster/mycluster`.
    #
    #   * Neptune cluster - The resource type is `cluster` and the unique
    #     identifier is the cluster name. Example: `cluster:mycluster`.
    #
    #   * SageMaker serverless endpoint - The resource type is `variant` and
    #     the unique identifier is the resource ID. Example:
    #     `endpoint/my-end-point/variant/KMeansClustering`.
    #
    #   * SageMaker inference component - The resource type is
    #     `inference-component` and the unique identifier is the resource ID.
    #     Example: `inference-component/my-inference-component`.
    #
    #   * Pool of WorkSpaces - The resource type is `workspacespool` and the
    #     unique identifier is the pool ID. Example:
    #     `workspacespool/wspool-123456`.
    #
    #
    #
    #   [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 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 capacity of an AppStream 2.0
    #     fleet.
    #
    #   * `dynamodb:table:ReadCapacityUnits` - The provisioned read capacity
    #     for a DynamoDB table.
    #
    #   * `dynamodb:table:WriteCapacityUnits` - The provisioned write capacity
    #     for a DynamoDB table.
    #
    #   * `dynamodb:index:ReadCapacityUnits` - The provisioned read capacity
    #     for a DynamoDB global secondary index.
    #
    #   * `dynamodb:index:WriteCapacityUnits` - The provisioned write capacity
    #     for a DynamoDB global secondary index.
    #
    #   * `rds:cluster:ReadReplicaCount` - The count of Aurora Replicas in an
    #     Aurora DB cluster. Available for Aurora MySQL-compatible edition and
    #     Aurora PostgreSQL-compatible edition.
    #
    #   * `sagemaker:variant:DesiredInstanceCount` - The number of EC2
    #     instances for a SageMaker model endpoint variant.
    #
    #   * `custom-resource:ResourceType:Property` - The scalable dimension for
    #     a custom resource provided by your own application or service.
    #
    #   * `comprehend:document-classifier-endpoint:DesiredInferenceUnits` -
    #     The number of inference units for an Amazon Comprehend document
    #     classification endpoint.
    #
    #   * `comprehend:entity-recognizer-endpoint:DesiredInferenceUnits` - The
    #     number of inference units for an Amazon Comprehend entity recognizer
    #     endpoint.
    #
    #   * `lambda:function:ProvisionedConcurrency` - The provisioned
    #     concurrency for a Lambda function.
    #
    #   * `cassandra:table:ReadCapacityUnits` - The provisioned read capacity
    #     for an Amazon Keyspaces table.
    #
    #   * `cassandra:table:WriteCapacityUnits` - The provisioned write
    #     capacity for an Amazon Keyspaces table.
    #
    #   * `kafka:broker-storage:VolumeSize` - The provisioned volume size (in
    #     GiB) for brokers in an Amazon MSK cluster.
    #
    #   * `elasticache:cache-cluster:Nodes` - The number of nodes for an
    #     Amazon ElastiCache cache cluster.
    #
    #   * `elasticache:replication-group:NodeGroups` - The number of node
    #     groups for an Amazon ElastiCache replication group.
    #
    #   * `elasticache:replication-group:Replicas` - The number of replicas
    #     per node group for an Amazon ElastiCache replication group.
    #
    #   * `neptune:cluster:ReadReplicaCount` - The count of read replicas in
    #     an Amazon Neptune DB cluster.
    #
    #   * `sagemaker:variant:DesiredProvisionedConcurrency` - The provisioned
    #     concurrency for a SageMaker serverless endpoint.
    #
    #   * `sagemaker:inference-component:DesiredCopyCount` - The number of
    #     copies across an endpoint for a SageMaker inference component.
    #
    #   * `workspaces:workspacespool:DesiredUserSessions` - The number of user
    #     sessions for the WorkSpaces in the pool.
    #
    # @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 Example: To create a recurring scheduled action
    #
    #   # This example adds a scheduled action to a DynamoDB table called TestTable to scale out on a recurring schedule. On the
    #   # specified schedule (every day at 12:15pm UTC), if the current capacity is below the value specified for MinCapacity,
    #   # Application Auto Scaling scales out to the value specified by MinCapacity.
    #
    #   resp = client.put_scheduled_action({
    #     resource_id: "table/TestTable", 
    #     scalable_dimension: "dynamodb:table:WriteCapacityUnits", 
    #     scalable_target_action: {
    #       min_capacity: 6, 
    #     }, 
    #     schedule: "cron(15 12 * * ? *)", 
    #     scheduled_action_name: "my-recurring-action", 
    #     service_namespace: "dynamodb", 
    #   })
    #
    #   resp.to_h outputs the following:
    #   {
    #   }
    #
    # @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, workspaces
    #     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:cache-cluster:Nodes, elasticache:replication-group:NodeGroups, elasticache:replication-group:Replicas, neptune:cluster:ReadReplicaCount, sagemaker:variant:DesiredProvisionedConcurrency, sagemaker:inference-component:DesiredCopyCount, workspaces:workspacespool:DesiredUserSessions
    #     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, which is the resource that you
    # want to scale.
    #
    # Scalable targets are uniquely identified by the combination of
    # resource ID, scalable dimension, and namespace, which represents some
    # capacity dimension of the underlying service.
    #
    # When you register a new scalable target, you must specify values for
    # the minimum and maximum capacity. If the specified resource is not
    # active in the target service, this operation does not change the
    # resource's current capacity. Otherwise, it changes the resource's
    # current capacity to a value that is inside of this range.
    #
    # If you add a scaling policy, current capacity is adjustable within the
    # specified range when scaling starts. Application Auto Scaling scaling
    # policies will not scale capacity to values that are outside of the
    # minimum and maximum 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.
    #
    # <note markdown="1"> If you call the `RegisterScalableTarget` API operation to create a
    # scalable target, there might be a brief delay until the operation
    # achieves [eventual consistency][3]. You might become aware of this
    # brief delay if you get unexpected errors when performing sequential
    # operations. The typical strategy is to retry the request, and some
    # Amazon Web Services SDKs include automatic backoff and retry logic.
    #
    #  If you call the `RegisterScalableTarget` API operation to update an
    # existing scalable target, Application Auto Scaling retrieves the
    # current capacity of the resource. If it's 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.
    #
    #  </note>
    #
    #
    #
    # [1]: https://docs.aws.amazon.com/autoscaling/application/APIReference/API_DescribeScalableTargets.html
    # [2]: https://docs.aws.amazon.com/autoscaling/application/APIReference/API_DeregisterScalableTarget.html
    # [3]: https://en.wikipedia.org/wiki/Eventual_consistency
    #
    # @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/my-cluster/my-service`.
    #
    #   * 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`.
    #
    #   * Amazon ElastiCache cache cluster - The resource type is
    #     `cache-cluster` and the unique identifier is the cache cluster name.
    #     Example: `cache-cluster/mycluster`.
    #
    #   * Neptune cluster - The resource type is `cluster` and the unique
    #     identifier is the cluster name. Example: `cluster:mycluster`.
    #
    #   * SageMaker serverless endpoint - The resource type is `variant` and
    #     the unique identifier is the resource ID. Example:
    #     `endpoint/my-end-point/variant/KMeansClustering`.
    #
    #   * SageMaker inference component - The resource type is
    #     `inference-component` and the unique identifier is the resource ID.
    #     Example: `inference-component/my-inference-component`.
    #
    #   * Pool of WorkSpaces - The resource type is `workspacespool` and the
    #     unique identifier is the pool ID. Example:
    #     `workspacespool/wspool-123456`.
    #
    #
    #
    #   [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 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 capacity of an AppStream 2.0
    #     fleet.
    #
    #   * `dynamodb:table:ReadCapacityUnits` - The provisioned read capacity
    #     for a DynamoDB table.
    #
    #   * `dynamodb:table:WriteCapacityUnits` - The provisioned write capacity
    #     for a DynamoDB table.
    #
    #   * `dynamodb:index:ReadCapacityUnits` - The provisioned read capacity
    #     for a DynamoDB global secondary index.
    #
    #   * `dynamodb:index:WriteCapacityUnits` - The provisioned write capacity
    #     for a DynamoDB global secondary index.
    #
    #   * `rds:cluster:ReadReplicaCount` - The count of Aurora Replicas in an
    #     Aurora DB cluster. Available for Aurora MySQL-compatible edition and
    #     Aurora PostgreSQL-compatible edition.
    #
    #   * `sagemaker:variant:DesiredInstanceCount` - The number of EC2
    #     instances for a SageMaker model endpoint variant.
    #
    #   * `custom-resource:ResourceType:Property` - The scalable dimension for
    #     a custom resource provided by your own application or service.
    #
    #   * `comprehend:document-classifier-endpoint:DesiredInferenceUnits` -
    #     The number of inference units for an Amazon Comprehend document
    #     classification endpoint.
    #
    #   * `comprehend:entity-recognizer-endpoint:DesiredInferenceUnits` - The
    #     number of inference units for an Amazon Comprehend entity recognizer
    #     endpoint.
    #
    #   * `lambda:function:ProvisionedConcurrency` - The provisioned
    #     concurrency for a Lambda function.
    #
    #   * `cassandra:table:ReadCapacityUnits` - The provisioned read capacity
    #     for an Amazon Keyspaces table.
    #
    #   * `cassandra:table:WriteCapacityUnits` - The provisioned write
    #     capacity for an Amazon Keyspaces table.
    #
    #   * `kafka:broker-storage:VolumeSize` - The provisioned volume size (in
    #     GiB) for brokers in an Amazon MSK cluster.
    #
    #   * `elasticache:cache-cluster:Nodes` - The number of nodes for an
    #     Amazon ElastiCache cache cluster.
    #
    #   * `elasticache:replication-group:NodeGroups` - The number of node
    #     groups for an Amazon ElastiCache replication group.
    #
    #   * `elasticache:replication-group:Replicas` - The number of replicas
    #     per node group for an Amazon ElastiCache replication group.
    #
    #   * `neptune:cluster:ReadReplicaCount` - The count of read replicas in
    #     an Amazon Neptune DB cluster.
    #
    #   * `sagemaker:variant:DesiredProvisionedConcurrency` - The provisioned
    #     concurrency for a SageMaker serverless endpoint.
    #
    #   * `sagemaker:inference-component:DesiredCopyCount` - The number of
    #     copies across an endpoint for a SageMaker inference component.
    #
    #   * `workspaces:workspacespool:DesiredUserSessions` - The number of user
    #     sessions for the WorkSpaces in the pool.
    #
    # @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 the following resources, the minimum value allowed is 0.
    #
    #   * AppStream 2.0 fleets
    #
    #   * Aurora DB clusters
    #
    #   * ECS services
    #
    #   * EMR clusters
    #
    #   * Lambda provisioned concurrency
    #
    #   * SageMaker endpoint variants
    #
    #   * SageMaker inference components
    #
    #   * SageMaker serverless endpoint provisioned concurrency
    #
    #   * Spot Fleets
    #
    #   * custom resources
    #
    #   It's strongly recommended that you specify a value greater than 0. A
    #   value greater than 0 means that data points are continuously reported
    #   to CloudWatch that scaling policies can use to scale on a metric like
    #   average CPU utilization.
    #
    #   For all other resources, the minimum allowed value depends on the type
    #   of resource that you are using. If you provide a value that is lower
    #   than what a resource can accept, an error occurs. In which case, the
    #   error message will provide the minimum value that the resource can
    #   accept.
    #
    # @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 might 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 [How Application Auto Scaling works with
    #   IAM][1].
    #
    #
    #
    #   [1]: https://docs.aws.amazon.com/autoscaling/application/userguide/security_iam_service-with-iam.html
    #
    # @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 [Suspend and resume 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
    #
    # @option params [Hash<String,String>] :tags
    #   Assigns one or more tags to the scalable target. Use this parameter to
    #   tag the scalable target when it is created. To tag an existing
    #   scalable target, use the TagResource operation.
    #
    #   Each tag consists of a tag key and a tag value. Both the tag key and
    #   the tag value are required. You cannot have more than one tag on a
    #   scalable target with the same tag key.
    #
    #   Use tags to control access to a scalable target. For more information,
    #   see [Tagging support for Application Auto Scaling][1] in the
    #   *Application Auto Scaling User Guide*.
    #
    #
    #
    #   [1]: https://docs.aws.amazon.com/autoscaling/application/userguide/resource-tagging-support.html
    #
    # @return [Types::RegisterScalableTargetResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods:
    #
    #   * {Types::RegisterScalableTargetResponse#scalable_target_arn #scalable_target_arn} => String
    #
    #
    # @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", 
    #   })
    #
    #   resp.to_h outputs the following:
    #   {
    #     scalable_target_arn: "arn:aws:application-autoscaling:us-east-1:123456789012:scalable-target/1234abcd56ab78cd901ef1234567890ab123", 
    #   }
    #
    # @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, workspaces
    #     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:cache-cluster:Nodes, elasticache:replication-group:NodeGroups, elasticache:replication-group:Replicas, neptune:cluster:ReadReplicaCount, sagemaker:variant:DesiredProvisionedConcurrency, sagemaker:inference-component:DesiredCopyCount, workspaces:workspacespool:DesiredUserSessions
    #     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,
    #     },
    #     tags: {
    #       "TagKey" => "TagValue",
    #     },
    #   })
    #
    # @example Response structure
    #
    #   resp.scalable_target_arn #=> String
    #
    # @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

    # Adds or edits tags on an Application Auto Scaling scalable target.
    #
    # Each tag consists of a tag key and a tag value, which are both
    # case-sensitive strings. To add a tag, specify a new tag key and a tag
    # value. To edit a tag, specify an existing tag key and a new tag value.
    #
    # You can use this operation to tag an Application Auto Scaling scalable
    # target, but you cannot tag a scaling policy or scheduled action.
    #
    # You can also add tags to an Application Auto Scaling scalable target
    # while creating it (`RegisterScalableTarget`).
    #
    # For general information about tags, including the format and syntax,
    # see [Tagging your Amazon Web Services resources][1] in the *Amazon Web
    # Services General Reference*.
    #
    # Use tags to control access to a scalable target. For more information,
    # see [Tagging support for Application Auto Scaling][2] in the
    # *Application Auto Scaling User Guide*.
    #
    #
    #
    # [1]: https://docs.aws.amazon.com/general/latest/gr/aws_tagging.html
    # [2]: https://docs.aws.amazon.com/autoscaling/application/userguide/resource-tagging-support.html
    #
    # @option params [required, String] :resource_arn
    #   Identifies the Application Auto Scaling scalable target that you want
    #   to apply tags to.
    #
    #   For example:
    #   `arn:aws:application-autoscaling:us-east-1:123456789012:scalable-target/1234abcd56ab78cd901ef1234567890ab123`
    #
    #   To get the ARN for a scalable target, use DescribeScalableTargets.
    #
    # @option params [required, Hash<String,String>] :tags
    #   The tags assigned to the resource. A tag is a label that you assign to
    #   an Amazon Web Services resource.
    #
    #   Each tag consists of a tag key and a tag value.
    #
    #   You cannot have more than one tag on an Application Auto Scaling
    #   scalable target with the same tag key. If you specify an existing tag
    #   key with a different tag value, Application Auto Scaling replaces the
    #   current tag value with the specified one.
    #
    #   For information about the rules that apply to tag keys and tag values,
    #   see [User-defined tag restrictions][1] in the *Amazon Web Services
    #   Billing User Guide*.
    #
    #
    #
    #   [1]: https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/allocation-tag-restrictions.html
    #
    # @return [Struct] Returns an empty {Seahorse::Client::Response response}.
    #
    #
    # @example Example: To add a tag to a scalable target
    #
    #   # This example adds a tag with the key name "environment" and the value "production" to the scalable target specified by
    #   # its ARN.
    #
    #   resp = client.tag_resource({
    #     resource_arn: "arn:aws:application-autoscaling:us-west-2:123456789012:scalable-target/1234abcd56ab78cd901ef1234567890ab123", 
    #     tags: {
    #       "environment" => "production", 
    #     }, 
    #   })
    #
    #   resp.to_h outputs the following:
    #   {
    #   }
    #
    # @example Request syntax with placeholder values
    #
    #   resp = client.tag_resource({
    #     resource_arn: "AmazonResourceName", # required
    #     tags: { # required
    #       "TagKey" => "TagValue",
    #     },
    #   })
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/application-autoscaling-2016-02-06/TagResource AWS API Documentation
    #
    # @overload tag_resource(params = {})
    # @param [Hash] params ({})
    def tag_resource(params = {}, options = {})
      req = build_request(:tag_resource, params)
      req.send_request(options)
    end

    # Deletes tags from an Application Auto Scaling scalable target. To
    # delete a tag, specify the tag key and the Application Auto Scaling
    # scalable target.
    #
    # @option params [required, String] :resource_arn
    #   Identifies the Application Auto Scaling scalable target from which to
    #   remove tags.
    #
    #   For example:
    #   `arn:aws:application-autoscaling:us-east-1:123456789012:scalable-target/1234abcd56ab78cd901ef1234567890ab123`
    #
    #   To get the ARN for a scalable target, use DescribeScalableTargets.
    #
    # @option params [required, Array<String>] :tag_keys
    #   One or more tag keys. Specify only the tag keys, not the tag values.
    #
    # @return [Struct] Returns an empty {Seahorse::Client::Response response}.
    #
    #
    # @example Example: To remove a tag from a scalable target
    #
    #   # This example removes the tag pair with the key name "environment" from the scalable target specified by its ARN.
    #
    #   resp = client.untag_resource({
    #     resource_arn: "arn:aws:application-autoscaling:us-west-2:123456789012:scalable-target/1234abcd56ab78cd901ef1234567890ab123", 
    #     tag_keys: [
    #       "environment", 
    #     ], 
    #   })
    #
    #   resp.to_h outputs the following:
    #   {
    #   }
    #
    # @example Request syntax with placeholder values
    #
    #   resp = client.untag_resource({
    #     resource_arn: "AmazonResourceName", # required
    #     tag_keys: ["TagKey"], # required
    #   })
    #
    # @see http://docs.aws.amazon.com/goto/WebAPI/application-autoscaling-2016-02-06/UntagResource AWS API Documentation
    #
    # @overload untag_resource(params = {})
    # @param [Hash] params ({})
    def untag_resource(params = {}, options = {})
      req = build_request(:untag_resource, params)
      req.send_request(options)
    end

    # @!endgroup

    # @param params ({})
    # @api private
    def build_request(operation_name, params = {})
      handlers = @handlers.for(operation_name)
      tracer = config.telemetry_provider.tracer_provider.tracer(
        Aws::Telemetry.module_to_tracer_name('Aws::ApplicationAutoScaling')
      )
      context = Seahorse::Client::RequestContext.new(
        operation_name: operation_name,
        operation: config.api.operation(operation_name),
        client: self,
        params: params,
        config: config,
        tracer: tracer
      )
      context[:gem_name] = 'aws-sdk-applicationautoscaling'
      context[:gem_version] = '1.112.0'
      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
