R/applicationautoscaling_operations.R
In paws.management: 'Amazon Web Services' Management & Governance Services

Documented in applicationautoscaling_delete_scaling_policy applicationautoscaling_delete_scheduled_action applicationautoscaling_deregister_scalable_target applicationautoscaling_describe_scalable_targets applicationautoscaling_describe_scaling_activities applicationautoscaling_describe_scaling_policies applicationautoscaling_describe_scheduled_actions applicationautoscaling_list_tags_for_resource applicationautoscaling_put_scaling_policy applicationautoscaling_put_scheduled_action applicationautoscaling_register_scalable_target applicationautoscaling_tag_resource applicationautoscaling_untag_resource

# This file is generated by make.paws. Please do not edit here.
#' @importFrom paws.common get_config new_operation new_request send_request
#' @include applicationautoscaling_service.R
NULL

#' Deletes the specified scaling policy for an Application Auto Scaling
#' scalable target
#'
#' @description
#' Deletes the specified scaling policy for an Application Auto Scaling scalable target.
#'
#' See [https://www.paws-r-sdk.com/docs/applicationautoscaling_delete_scaling_policy/](https://www.paws-r-sdk.com/docs/applicationautoscaling_delete_scaling_policy/) for full documentation.
#'
#' @param PolicyName &#91;required&#93; The name of the scaling policy.
#' @param ServiceNamespace &#91;required&#93; 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.
#' @param ResourceId &#91;required&#93; 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](https://github.com/aws/aws-auto-scaling-custom-resource).
#' 
#' -   Amazon Comprehend document classification endpoint - The resource
#'     type and unique identifier are specified using the endpoint ARN.
#'     Example:
#'     `arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE`.
#' 
#' -   Amazon Comprehend entity recognizer endpoint - The resource type and
#'     unique identifier are specified using the endpoint ARN. Example:
#'     `arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE`.
#' 
#' -   Lambda provisioned concurrency - The resource type is `function` and
#'     the unique identifier is the function name with a function version
#'     or alias name suffix that is not `$LATEST`. Example:
#'     `function:my-function:prod` or `function:my-function:1`.
#' 
#' -   Amazon Keyspaces table - The resource type is `table` and the unique
#'     identifier is the table name. Example:
#'     `keyspace/mykeyspace/table/mytable`.
#' 
#' -   Amazon MSK cluster - The resource type and unique identifier are
#'     specified using the cluster ARN. Example:
#'     `arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5`.
#' 
#' -   Amazon ElastiCache replication group - The resource type is
#'     `replication-group` and the unique identifier is the replication
#'     group name. Example: `replication-group/mycluster`.
#' 
#' -   Neptune cluster - The resource type is `cluster` and the unique
#'     identifier is the cluster name. Example: `cluster:mycluster`.
#' 
#' -   SageMaker serverless endpoint - The resource type is `variant` and
#'     the unique identifier is the resource ID. Example:
#'     `endpoint/my-end-point/variant/KMeansClustering`.
#' 
#' -   SageMaker inference component - The resource type is
#'     `inference-component` and the unique identifier is the resource ID.
#'     Example: `inference-component/my-inference-component`.
#' 
#' -   Pool of WorkSpaces - The resource type is `workspacespool` and the
#'     unique identifier is the pool ID. Example:
#'     `workspacespool/wspool-123456`.
#' @param ScalableDimension &#91;required&#93; 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: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.
#'
#' @keywords internal
#'
#' @rdname applicationautoscaling_delete_scaling_policy
applicationautoscaling_delete_scaling_policy <- function(PolicyName, ServiceNamespace, ResourceId, ScalableDimension) {
  op <- new_operation(
    name = "DeleteScalingPolicy",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list()
  )
  input <- .applicationautoscaling$delete_scaling_policy_input(PolicyName = PolicyName, ServiceNamespace = ServiceNamespace, ResourceId = ResourceId, ScalableDimension = ScalableDimension)
  output <- .applicationautoscaling$delete_scaling_policy_output()
  config <- get_config()
  svc <- .applicationautoscaling$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.applicationautoscaling$operations$delete_scaling_policy <- applicationautoscaling_delete_scaling_policy

#' Deletes the specified scheduled action for an Application Auto Scaling
#' scalable target
#'
#' @description
#' Deletes the specified scheduled action for an Application Auto Scaling scalable target.
#'
#' See [https://www.paws-r-sdk.com/docs/applicationautoscaling_delete_scheduled_action/](https://www.paws-r-sdk.com/docs/applicationautoscaling_delete_scheduled_action/) for full documentation.
#'
#' @param ServiceNamespace &#91;required&#93; 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.
#' @param ScheduledActionName &#91;required&#93; The name of the scheduled action.
#' @param ResourceId &#91;required&#93; 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](https://github.com/aws/aws-auto-scaling-custom-resource).
#' 
#' -   Amazon Comprehend document classification endpoint - The resource
#'     type and unique identifier are specified using the endpoint ARN.
#'     Example:
#'     `arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE`.
#' 
#' -   Amazon Comprehend entity recognizer endpoint - The resource type and
#'     unique identifier are specified using the endpoint ARN. Example:
#'     `arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE`.
#' 
#' -   Lambda provisioned concurrency - The resource type is `function` and
#'     the unique identifier is the function name with a function version
#'     or alias name suffix that is not `$LATEST`. Example:
#'     `function:my-function:prod` or `function:my-function:1`.
#' 
#' -   Amazon Keyspaces table - The resource type is `table` and the unique
#'     identifier is the table name. Example:
#'     `keyspace/mykeyspace/table/mytable`.
#' 
#' -   Amazon MSK cluster - The resource type and unique identifier are
#'     specified using the cluster ARN. Example:
#'     `arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5`.
#' 
#' -   Amazon ElastiCache replication group - The resource type is
#'     `replication-group` and the unique identifier is the replication
#'     group name. Example: `replication-group/mycluster`.
#' 
#' -   Neptune cluster - The resource type is `cluster` and the unique
#'     identifier is the cluster name. Example: `cluster:mycluster`.
#' 
#' -   SageMaker serverless endpoint - The resource type is `variant` and
#'     the unique identifier is the resource ID. Example:
#'     `endpoint/my-end-point/variant/KMeansClustering`.
#' 
#' -   SageMaker inference component - The resource type is
#'     `inference-component` and the unique identifier is the resource ID.
#'     Example: `inference-component/my-inference-component`.
#' 
#' -   Pool of WorkSpaces - The resource type is `workspacespool` and the
#'     unique identifier is the pool ID. Example:
#'     `workspacespool/wspool-123456`.
#' @param ScalableDimension &#91;required&#93; 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: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.
#'
#' @keywords internal
#'
#' @rdname applicationautoscaling_delete_scheduled_action
applicationautoscaling_delete_scheduled_action <- function(ServiceNamespace, ScheduledActionName, ResourceId, ScalableDimension) {
  op <- new_operation(
    name = "DeleteScheduledAction",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list()
  )
  input <- .applicationautoscaling$delete_scheduled_action_input(ServiceNamespace = ServiceNamespace, ScheduledActionName = ScheduledActionName, ResourceId = ResourceId, ScalableDimension = ScalableDimension)
  output <- .applicationautoscaling$delete_scheduled_action_output()
  config <- get_config()
  svc <- .applicationautoscaling$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.applicationautoscaling$operations$delete_scheduled_action <- applicationautoscaling_delete_scheduled_action

#' Deregisters an Application Auto Scaling scalable target when you have
#' finished using it
#'
#' @description
#' Deregisters an Application Auto Scaling scalable target when you have finished using it. To see which resources have been registered, use [`describe_scalable_targets`][applicationautoscaling_describe_scalable_targets].
#'
#' See [https://www.paws-r-sdk.com/docs/applicationautoscaling_deregister_scalable_target/](https://www.paws-r-sdk.com/docs/applicationautoscaling_deregister_scalable_target/) for full documentation.
#'
#' @param ServiceNamespace &#91;required&#93; 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.
#' @param ResourceId &#91;required&#93; 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](https://github.com/aws/aws-auto-scaling-custom-resource).
#' 
#' -   Amazon Comprehend document classification endpoint - The resource
#'     type and unique identifier are specified using the endpoint ARN.
#'     Example:
#'     `arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE`.
#' 
#' -   Amazon Comprehend entity recognizer endpoint - The resource type and
#'     unique identifier are specified using the endpoint ARN. Example:
#'     `arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE`.
#' 
#' -   Lambda provisioned concurrency - The resource type is `function` and
#'     the unique identifier is the function name with a function version
#'     or alias name suffix that is not `$LATEST`. Example:
#'     `function:my-function:prod` or `function:my-function:1`.
#' 
#' -   Amazon Keyspaces table - The resource type is `table` and the unique
#'     identifier is the table name. Example:
#'     `keyspace/mykeyspace/table/mytable`.
#' 
#' -   Amazon MSK cluster - The resource type and unique identifier are
#'     specified using the cluster ARN. Example:
#'     `arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5`.
#' 
#' -   Amazon ElastiCache replication group - The resource type is
#'     `replication-group` and the unique identifier is the replication
#'     group name. Example: `replication-group/mycluster`.
#' 
#' -   Neptune cluster - The resource type is `cluster` and the unique
#'     identifier is the cluster name. Example: `cluster:mycluster`.
#' 
#' -   SageMaker serverless endpoint - The resource type is `variant` and
#'     the unique identifier is the resource ID. Example:
#'     `endpoint/my-end-point/variant/KMeansClustering`.
#' 
#' -   SageMaker inference component - The resource type is
#'     `inference-component` and the unique identifier is the resource ID.
#'     Example: `inference-component/my-inference-component`.
#' 
#' -   Pool of WorkSpaces - The resource type is `workspacespool` and the
#'     unique identifier is the pool ID. Example:
#'     `workspacespool/wspool-123456`.
#' @param ScalableDimension &#91;required&#93; 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: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.
#'
#' @keywords internal
#'
#' @rdname applicationautoscaling_deregister_scalable_target
applicationautoscaling_deregister_scalable_target <- function(ServiceNamespace, ResourceId, ScalableDimension) {
  op <- new_operation(
    name = "DeregisterScalableTarget",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list()
  )
  input <- .applicationautoscaling$deregister_scalable_target_input(ServiceNamespace = ServiceNamespace, ResourceId = ResourceId, ScalableDimension = ScalableDimension)
  output <- .applicationautoscaling$deregister_scalable_target_output()
  config <- get_config()
  svc <- .applicationautoscaling$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.applicationautoscaling$operations$deregister_scalable_target <- applicationautoscaling_deregister_scalable_target

#' Gets information about the scalable targets in the specified namespace
#'
#' @description
#' Gets information about the scalable targets in the specified namespace.
#'
#' See [https://www.paws-r-sdk.com/docs/applicationautoscaling_describe_scalable_targets/](https://www.paws-r-sdk.com/docs/applicationautoscaling_describe_scalable_targets/) for full documentation.
#'
#' @param ServiceNamespace &#91;required&#93; 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.
#' @param ResourceIds 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](https://github.com/aws/aws-auto-scaling-custom-resource).
#' 
#' -   Amazon Comprehend document classification endpoint - The resource
#'     type and unique identifier are specified using the endpoint ARN.
#'     Example:
#'     `arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE`.
#' 
#' -   Amazon Comprehend entity recognizer endpoint - The resource type and
#'     unique identifier are specified using the endpoint ARN. Example:
#'     `arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE`.
#' 
#' -   Lambda provisioned concurrency - The resource type is `function` and
#'     the unique identifier is the function name with a function version
#'     or alias name suffix that is not `$LATEST`. Example:
#'     `function:my-function:prod` or `function:my-function:1`.
#' 
#' -   Amazon Keyspaces table - The resource type is `table` and the unique
#'     identifier is the table name. Example:
#'     `keyspace/mykeyspace/table/mytable`.
#' 
#' -   Amazon MSK cluster - The resource type and unique identifier are
#'     specified using the cluster ARN. Example:
#'     `arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5`.
#' 
#' -   Amazon ElastiCache replication group - The resource type is
#'     `replication-group` and the unique identifier is the replication
#'     group name. Example: `replication-group/mycluster`.
#' 
#' -   Neptune cluster - The resource type is `cluster` and the unique
#'     identifier is the cluster name. Example: `cluster:mycluster`.
#' 
#' -   SageMaker serverless endpoint - The resource type is `variant` and
#'     the unique identifier is the resource ID. Example:
#'     `endpoint/my-end-point/variant/KMeansClustering`.
#' 
#' -   SageMaker inference component - The resource type is
#'     `inference-component` and the unique identifier is the resource ID.
#'     Example: `inference-component/my-inference-component`.
#' 
#' -   Pool of WorkSpaces - The resource type is `workspacespool` and the
#'     unique identifier is the pool ID. Example:
#'     `workspacespool/wspool-123456`.
#' @param ScalableDimension 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: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.
#' @param MaxResults 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.
#' @param NextToken The token for the next set of results.
#'
#' @keywords internal
#'
#' @rdname applicationautoscaling_describe_scalable_targets
applicationautoscaling_describe_scalable_targets <- function(ServiceNamespace, ResourceIds = NULL, ScalableDimension = NULL, MaxResults = NULL, NextToken = NULL) {
  op <- new_operation(
    name = "DescribeScalableTargets",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(input_token = "NextToken", limit_key = "MaxResults", output_token = "NextToken", result_key = "ScalableTargets")
  )
  input <- .applicationautoscaling$describe_scalable_targets_input(ServiceNamespace = ServiceNamespace, ResourceIds = ResourceIds, ScalableDimension = ScalableDimension, MaxResults = MaxResults, NextToken = NextToken)
  output <- .applicationautoscaling$describe_scalable_targets_output()
  config <- get_config()
  svc <- .applicationautoscaling$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.applicationautoscaling$operations$describe_scalable_targets <- applicationautoscaling_describe_scalable_targets

#' Provides descriptive information about the scaling activities in the
#' specified namespace from the previous six weeks
#'
#' @description
#' Provides descriptive information about the scaling activities in the specified namespace from the previous six weeks.
#'
#' See [https://www.paws-r-sdk.com/docs/applicationautoscaling_describe_scaling_activities/](https://www.paws-r-sdk.com/docs/applicationautoscaling_describe_scaling_activities/) for full documentation.
#'
#' @param ServiceNamespace &#91;required&#93; 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.
#' @param ResourceId 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](https://github.com/aws/aws-auto-scaling-custom-resource).
#' 
#' -   Amazon Comprehend document classification endpoint - The resource
#'     type and unique identifier are specified using the endpoint ARN.
#'     Example:
#'     `arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE`.
#' 
#' -   Amazon Comprehend entity recognizer endpoint - The resource type and
#'     unique identifier are specified using the endpoint ARN. Example:
#'     `arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE`.
#' 
#' -   Lambda provisioned concurrency - The resource type is `function` and
#'     the unique identifier is the function name with a function version
#'     or alias name suffix that is not `$LATEST`. Example:
#'     `function:my-function:prod` or `function:my-function:1`.
#' 
#' -   Amazon Keyspaces table - The resource type is `table` and the unique
#'     identifier is the table name. Example:
#'     `keyspace/mykeyspace/table/mytable`.
#' 
#' -   Amazon MSK cluster - The resource type and unique identifier are
#'     specified using the cluster ARN. Example:
#'     `arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5`.
#' 
#' -   Amazon ElastiCache replication group - The resource type is
#'     `replication-group` and the unique identifier is the replication
#'     group name. Example: `replication-group/mycluster`.
#' 
#' -   Neptune cluster - The resource type is `cluster` and the unique
#'     identifier is the cluster name. Example: `cluster:mycluster`.
#' 
#' -   SageMaker serverless endpoint - The resource type is `variant` and
#'     the unique identifier is the resource ID. Example:
#'     `endpoint/my-end-point/variant/KMeansClustering`.
#' 
#' -   SageMaker inference component - The resource type is
#'     `inference-component` and the unique identifier is the resource ID.
#'     Example: `inference-component/my-inference-component`.
#' 
#' -   Pool of WorkSpaces - The resource type is `workspacespool` and the
#'     unique identifier is the pool ID. Example:
#'     `workspacespool/wspool-123456`.
#' @param ScalableDimension 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: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.
#' @param MaxResults 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.
#' @param NextToken The token for the next set of results.
#' @param IncludeNotScaledActivities 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](https://docs.aws.amazon.com/autoscaling/application/userguide/application-auto-scaling-scaling-activities.html).
#'
#' @keywords internal
#'
#' @rdname applicationautoscaling_describe_scaling_activities
applicationautoscaling_describe_scaling_activities <- function(ServiceNamespace, ResourceId = NULL, ScalableDimension = NULL, MaxResults = NULL, NextToken = NULL, IncludeNotScaledActivities = NULL) {
  op <- new_operation(
    name = "DescribeScalingActivities",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(input_token = "NextToken", limit_key = "MaxResults", output_token = "NextToken", result_key = "ScalingActivities")
  )
  input <- .applicationautoscaling$describe_scaling_activities_input(ServiceNamespace = ServiceNamespace, ResourceId = ResourceId, ScalableDimension = ScalableDimension, MaxResults = MaxResults, NextToken = NextToken, IncludeNotScaledActivities = IncludeNotScaledActivities)
  output <- .applicationautoscaling$describe_scaling_activities_output()
  config <- get_config()
  svc <- .applicationautoscaling$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.applicationautoscaling$operations$describe_scaling_activities <- applicationautoscaling_describe_scaling_activities

#' Describes the Application Auto Scaling scaling policies for the
#' specified service namespace
#'
#' @description
#' Describes the Application Auto Scaling scaling policies for the specified service namespace.
#'
#' See [https://www.paws-r-sdk.com/docs/applicationautoscaling_describe_scaling_policies/](https://www.paws-r-sdk.com/docs/applicationautoscaling_describe_scaling_policies/) for full documentation.
#'
#' @param PolicyNames The names of the scaling policies to describe.
#' @param ServiceNamespace &#91;required&#93; 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.
#' @param ResourceId 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](https://github.com/aws/aws-auto-scaling-custom-resource).
#' 
#' -   Amazon Comprehend document classification endpoint - The resource
#'     type and unique identifier are specified using the endpoint ARN.
#'     Example:
#'     `arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE`.
#' 
#' -   Amazon Comprehend entity recognizer endpoint - The resource type and
#'     unique identifier are specified using the endpoint ARN. Example:
#'     `arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE`.
#' 
#' -   Lambda provisioned concurrency - The resource type is `function` and
#'     the unique identifier is the function name with a function version
#'     or alias name suffix that is not `$LATEST`. Example:
#'     `function:my-function:prod` or `function:my-function:1`.
#' 
#' -   Amazon Keyspaces table - The resource type is `table` and the unique
#'     identifier is the table name. Example:
#'     `keyspace/mykeyspace/table/mytable`.
#' 
#' -   Amazon MSK cluster - The resource type and unique identifier are
#'     specified using the cluster ARN. Example:
#'     `arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5`.
#' 
#' -   Amazon ElastiCache replication group - The resource type is
#'     `replication-group` and the unique identifier is the replication
#'     group name. Example: `replication-group/mycluster`.
#' 
#' -   Neptune cluster - The resource type is `cluster` and the unique
#'     identifier is the cluster name. Example: `cluster:mycluster`.
#' 
#' -   SageMaker serverless endpoint - The resource type is `variant` and
#'     the unique identifier is the resource ID. Example:
#'     `endpoint/my-end-point/variant/KMeansClustering`.
#' 
#' -   SageMaker inference component - The resource type is
#'     `inference-component` and the unique identifier is the resource ID.
#'     Example: `inference-component/my-inference-component`.
#' 
#' -   Pool of WorkSpaces - The resource type is `workspacespool` and the
#'     unique identifier is the pool ID. Example:
#'     `workspacespool/wspool-123456`.
#' @param ScalableDimension 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: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.
#' @param MaxResults 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.
#' @param NextToken The token for the next set of results.
#'
#' @keywords internal
#'
#' @rdname applicationautoscaling_describe_scaling_policies
applicationautoscaling_describe_scaling_policies <- function(PolicyNames = NULL, ServiceNamespace, ResourceId = NULL, ScalableDimension = NULL, MaxResults = NULL, NextToken = NULL) {
  op <- new_operation(
    name = "DescribeScalingPolicies",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(input_token = "NextToken", limit_key = "MaxResults", output_token = "NextToken", result_key = "ScalingPolicies")
  )
  input <- .applicationautoscaling$describe_scaling_policies_input(PolicyNames = PolicyNames, ServiceNamespace = ServiceNamespace, ResourceId = ResourceId, ScalableDimension = ScalableDimension, MaxResults = MaxResults, NextToken = NextToken)
  output <- .applicationautoscaling$describe_scaling_policies_output()
  config <- get_config()
  svc <- .applicationautoscaling$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.applicationautoscaling$operations$describe_scaling_policies <- applicationautoscaling_describe_scaling_policies

#' Describes the Application Auto Scaling scheduled actions for the
#' specified service namespace
#'
#' @description
#' Describes the Application Auto Scaling scheduled actions for the specified service namespace.
#'
#' See [https://www.paws-r-sdk.com/docs/applicationautoscaling_describe_scheduled_actions/](https://www.paws-r-sdk.com/docs/applicationautoscaling_describe_scheduled_actions/) for full documentation.
#'
#' @param ScheduledActionNames The names of the scheduled actions to describe.
#' @param ServiceNamespace &#91;required&#93; 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.
#' @param ResourceId 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](https://github.com/aws/aws-auto-scaling-custom-resource).
#' 
#' -   Amazon Comprehend document classification endpoint - The resource
#'     type and unique identifier are specified using the endpoint ARN.
#'     Example:
#'     `arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE`.
#' 
#' -   Amazon Comprehend entity recognizer endpoint - The resource type and
#'     unique identifier are specified using the endpoint ARN. Example:
#'     `arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE`.
#' 
#' -   Lambda provisioned concurrency - The resource type is `function` and
#'     the unique identifier is the function name with a function version
#'     or alias name suffix that is not `$LATEST`. Example:
#'     `function:my-function:prod` or `function:my-function:1`.
#' 
#' -   Amazon Keyspaces table - The resource type is `table` and the unique
#'     identifier is the table name. Example:
#'     `keyspace/mykeyspace/table/mytable`.
#' 
#' -   Amazon MSK cluster - The resource type and unique identifier are
#'     specified using the cluster ARN. Example:
#'     `arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5`.
#' 
#' -   Amazon ElastiCache replication group - The resource type is
#'     `replication-group` and the unique identifier is the replication
#'     group name. Example: `replication-group/mycluster`.
#' 
#' -   Neptune cluster - The resource type is `cluster` and the unique
#'     identifier is the cluster name. Example: `cluster:mycluster`.
#' 
#' -   SageMaker serverless endpoint - The resource type is `variant` and
#'     the unique identifier is the resource ID. Example:
#'     `endpoint/my-end-point/variant/KMeansClustering`.
#' 
#' -   SageMaker inference component - The resource type is
#'     `inference-component` and the unique identifier is the resource ID.
#'     Example: `inference-component/my-inference-component`.
#' 
#' -   Pool of WorkSpaces - The resource type is `workspacespool` and the
#'     unique identifier is the pool ID. Example:
#'     `workspacespool/wspool-123456`.
#' @param ScalableDimension 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: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.
#' @param MaxResults 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.
#' @param NextToken The token for the next set of results.
#'
#' @keywords internal
#'
#' @rdname applicationautoscaling_describe_scheduled_actions
applicationautoscaling_describe_scheduled_actions <- function(ScheduledActionNames = NULL, ServiceNamespace, ResourceId = NULL, ScalableDimension = NULL, MaxResults = NULL, NextToken = NULL) {
  op <- new_operation(
    name = "DescribeScheduledActions",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list(input_token = "NextToken", limit_key = "MaxResults", output_token = "NextToken", result_key = "ScheduledActions")
  )
  input <- .applicationautoscaling$describe_scheduled_actions_input(ScheduledActionNames = ScheduledActionNames, ServiceNamespace = ServiceNamespace, ResourceId = ResourceId, ScalableDimension = ScalableDimension, MaxResults = MaxResults, NextToken = NextToken)
  output <- .applicationautoscaling$describe_scheduled_actions_output()
  config <- get_config()
  svc <- .applicationautoscaling$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.applicationautoscaling$operations$describe_scheduled_actions <- applicationautoscaling_describe_scheduled_actions

#' Returns all the tags on the specified Application Auto Scaling scalable
#' target
#'
#' @description
#' Returns all the tags on the specified Application Auto Scaling scalable target.
#'
#' See [https://www.paws-r-sdk.com/docs/applicationautoscaling_list_tags_for_resource/](https://www.paws-r-sdk.com/docs/applicationautoscaling_list_tags_for_resource/) for full documentation.
#'
#' @param ResourceARN &#91;required&#93; 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
#' [`describe_scalable_targets`][applicationautoscaling_describe_scalable_targets].
#'
#' @keywords internal
#'
#' @rdname applicationautoscaling_list_tags_for_resource
applicationautoscaling_list_tags_for_resource <- function(ResourceARN) {
  op <- new_operation(
    name = "ListTagsForResource",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list()
  )
  input <- .applicationautoscaling$list_tags_for_resource_input(ResourceARN = ResourceARN)
  output <- .applicationautoscaling$list_tags_for_resource_output()
  config <- get_config()
  svc <- .applicationautoscaling$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.applicationautoscaling$operations$list_tags_for_resource <- applicationautoscaling_list_tags_for_resource

#' Creates or updates a scaling policy for an Application Auto Scaling
#' scalable target
#'
#' @description
#' Creates or updates a scaling policy for an Application Auto Scaling scalable target.
#'
#' See [https://www.paws-r-sdk.com/docs/applicationautoscaling_put_scaling_policy/](https://www.paws-r-sdk.com/docs/applicationautoscaling_put_scaling_policy/) for full documentation.
#'
#' @param PolicyName &#91;required&#93; 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.
#' @param ServiceNamespace &#91;required&#93; 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.
#' @param ResourceId &#91;required&#93; 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](https://github.com/aws/aws-auto-scaling-custom-resource).
#' 
#' -   Amazon Comprehend document classification endpoint - The resource
#'     type and unique identifier are specified using the endpoint ARN.
#'     Example:
#'     `arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE`.
#' 
#' -   Amazon Comprehend entity recognizer endpoint - The resource type and
#'     unique identifier are specified using the endpoint ARN. Example:
#'     `arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE`.
#' 
#' -   Lambda provisioned concurrency - The resource type is `function` and
#'     the unique identifier is the function name with a function version
#'     or alias name suffix that is not `$LATEST`. Example:
#'     `function:my-function:prod` or `function:my-function:1`.
#' 
#' -   Amazon Keyspaces table - The resource type is `table` and the unique
#'     identifier is the table name. Example:
#'     `keyspace/mykeyspace/table/mytable`.
#' 
#' -   Amazon MSK cluster - The resource type and unique identifier are
#'     specified using the cluster ARN. Example:
#'     `arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5`.
#' 
#' -   Amazon ElastiCache replication group - The resource type is
#'     `replication-group` and the unique identifier is the replication
#'     group name. Example: `replication-group/mycluster`.
#' 
#' -   Neptune cluster - The resource type is `cluster` and the unique
#'     identifier is the cluster name. Example: `cluster:mycluster`.
#' 
#' -   SageMaker serverless endpoint - The resource type is `variant` and
#'     the unique identifier is the resource ID. Example:
#'     `endpoint/my-end-point/variant/KMeansClustering`.
#' 
#' -   SageMaker inference component - The resource type is
#'     `inference-component` and the unique identifier is the resource ID.
#'     Example: `inference-component/my-inference-component`.
#' 
#' -   Pool of WorkSpaces - The resource type is `workspacespool` and the
#'     unique identifier is the pool ID. Example:
#'     `workspacespool/wspool-123456`.
#' @param ScalableDimension &#91;required&#93; 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: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.
#' @param PolicyType 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.
#' 
#' For more information, see [Target tracking scaling
#' policies](https://docs.aws.amazon.com/autoscaling/application/userguide/application-auto-scaling-target-tracking.html)
#' and [Step scaling
#' policies](https://docs.aws.amazon.com/autoscaling/application/userguide/application-auto-scaling-step-scaling-policies.html)
#' in the *Application Auto Scaling User Guide*.
#' @param StepScalingPolicyConfiguration A step scaling policy.
#' 
#' This parameter is required if you are creating a policy and the policy
#' type is `StepScaling`.
#' @param TargetTrackingScalingPolicyConfiguration A target tracking scaling policy. Includes support for predefined or
#' customized metrics.
#' 
#' This parameter is required if you are creating a policy and the policy
#' type is `TargetTrackingScaling`.
#'
#' @keywords internal
#'
#' @rdname applicationautoscaling_put_scaling_policy
applicationautoscaling_put_scaling_policy <- function(PolicyName, ServiceNamespace, ResourceId, ScalableDimension, PolicyType = NULL, StepScalingPolicyConfiguration = NULL, TargetTrackingScalingPolicyConfiguration = NULL) {
  op <- new_operation(
    name = "PutScalingPolicy",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list()
  )
  input <- .applicationautoscaling$put_scaling_policy_input(PolicyName = PolicyName, ServiceNamespace = ServiceNamespace, ResourceId = ResourceId, ScalableDimension = ScalableDimension, PolicyType = PolicyType, StepScalingPolicyConfiguration = StepScalingPolicyConfiguration, TargetTrackingScalingPolicyConfiguration = TargetTrackingScalingPolicyConfiguration)
  output <- .applicationautoscaling$put_scaling_policy_output()
  config <- get_config()
  svc <- .applicationautoscaling$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.applicationautoscaling$operations$put_scaling_policy <- applicationautoscaling_put_scaling_policy

#' Creates or updates a scheduled action for an Application Auto Scaling
#' scalable target
#'
#' @description
#' Creates or updates a scheduled action for an Application Auto Scaling scalable target.
#'
#' See [https://www.paws-r-sdk.com/docs/applicationautoscaling_put_scheduled_action/](https://www.paws-r-sdk.com/docs/applicationautoscaling_put_scheduled_action/) for full documentation.
#'
#' @param ServiceNamespace &#91;required&#93; 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.
#' @param 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](https://docs.aws.amazon.com/autoscaling/application/userguide/scheduled-scaling-using-cron-expressions.html)
#' in the *Application Auto Scaling User Guide*.
#' @param 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>.
#' @param ScheduledActionName &#91;required&#93; The name of the scheduled action. This name must be unique among all
#' other scheduled actions on the specified scalable target.
#' @param ResourceId &#91;required&#93; 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](https://github.com/aws/aws-auto-scaling-custom-resource).
#' 
#' -   Amazon Comprehend document classification endpoint - The resource
#'     type and unique identifier are specified using the endpoint ARN.
#'     Example:
#'     `arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE`.
#' 
#' -   Amazon Comprehend entity recognizer endpoint - The resource type and
#'     unique identifier are specified using the endpoint ARN. Example:
#'     `arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE`.
#' 
#' -   Lambda provisioned concurrency - The resource type is `function` and
#'     the unique identifier is the function name with a function version
#'     or alias name suffix that is not `$LATEST`. Example:
#'     `function:my-function:prod` or `function:my-function:1`.
#' 
#' -   Amazon Keyspaces table - The resource type is `table` and the unique
#'     identifier is the table name. Example:
#'     `keyspace/mykeyspace/table/mytable`.
#' 
#' -   Amazon MSK cluster - The resource type and unique identifier are
#'     specified using the cluster ARN. Example:
#'     `arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5`.
#' 
#' -   Amazon ElastiCache replication group - The resource type is
#'     `replication-group` and the unique identifier is the replication
#'     group name. Example: `replication-group/mycluster`.
#' 
#' -   Neptune cluster - The resource type is `cluster` and the unique
#'     identifier is the cluster name. Example: `cluster:mycluster`.
#' 
#' -   SageMaker serverless endpoint - The resource type is `variant` and
#'     the unique identifier is the resource ID. Example:
#'     `endpoint/my-end-point/variant/KMeansClustering`.
#' 
#' -   SageMaker inference component - The resource type is
#'     `inference-component` and the unique identifier is the resource ID.
#'     Example: `inference-component/my-inference-component`.
#' 
#' -   Pool of WorkSpaces - The resource type is `workspacespool` and the
#'     unique identifier is the pool ID. Example:
#'     `workspacespool/wspool-123456`.
#' @param ScalableDimension &#91;required&#93; 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: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.
#' @param StartTime The date and time for this scheduled action to start, in UTC.
#' @param EndTime The date and time for the recurring schedule to end, in UTC.
#' @param ScalableTargetAction 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.
#'
#' @keywords internal
#'
#' @rdname applicationautoscaling_put_scheduled_action
applicationautoscaling_put_scheduled_action <- function(ServiceNamespace, Schedule = NULL, Timezone = NULL, ScheduledActionName, ResourceId, ScalableDimension, StartTime = NULL, EndTime = NULL, ScalableTargetAction = NULL) {
  op <- new_operation(
    name = "PutScheduledAction",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list()
  )
  input <- .applicationautoscaling$put_scheduled_action_input(ServiceNamespace = ServiceNamespace, Schedule = Schedule, Timezone = Timezone, ScheduledActionName = ScheduledActionName, ResourceId = ResourceId, ScalableDimension = ScalableDimension, StartTime = StartTime, EndTime = EndTime, ScalableTargetAction = ScalableTargetAction)
  output <- .applicationautoscaling$put_scheduled_action_output()
  config <- get_config()
  svc <- .applicationautoscaling$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.applicationautoscaling$operations$put_scheduled_action <- applicationautoscaling_put_scheduled_action

#' Registers or updates a scalable target, which is the resource that you
#' want to scale
#'
#' @description
#' Registers or updates a scalable target, which is the resource that you want to scale.
#'
#' See [https://www.paws-r-sdk.com/docs/applicationautoscaling_register_scalable_target/](https://www.paws-r-sdk.com/docs/applicationautoscaling_register_scalable_target/) for full documentation.
#'
#' @param ServiceNamespace &#91;required&#93; 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.
#' @param ResourceId &#91;required&#93; 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](https://github.com/aws/aws-auto-scaling-custom-resource).
#' 
#' -   Amazon Comprehend document classification endpoint - The resource
#'     type and unique identifier are specified using the endpoint ARN.
#'     Example:
#'     `arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE`.
#' 
#' -   Amazon Comprehend entity recognizer endpoint - The resource type and
#'     unique identifier are specified using the endpoint ARN. Example:
#'     `arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE`.
#' 
#' -   Lambda provisioned concurrency - The resource type is `function` and
#'     the unique identifier is the function name with a function version
#'     or alias name suffix that is not `$LATEST`. Example:
#'     `function:my-function:prod` or `function:my-function:1`.
#' 
#' -   Amazon Keyspaces table - The resource type is `table` and the unique
#'     identifier is the table name. Example:
#'     `keyspace/mykeyspace/table/mytable`.
#' 
#' -   Amazon MSK cluster - The resource type and unique identifier are
#'     specified using the cluster ARN. Example:
#'     `arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5`.
#' 
#' -   Amazon ElastiCache replication group - The resource type is
#'     `replication-group` and the unique identifier is the replication
#'     group name. Example: `replication-group/mycluster`.
#' 
#' -   Neptune cluster - The resource type is `cluster` and the unique
#'     identifier is the cluster name. Example: `cluster:mycluster`.
#' 
#' -   SageMaker serverless endpoint - The resource type is `variant` and
#'     the unique identifier is the resource ID. Example:
#'     `endpoint/my-end-point/variant/KMeansClustering`.
#' 
#' -   SageMaker inference component - The resource type is
#'     `inference-component` and the unique identifier is the resource ID.
#'     Example: `inference-component/my-inference-component`.
#' 
#' -   Pool of WorkSpaces - The resource type is `workspacespool` and the
#'     unique identifier is the pool ID. Example:
#'     `workspacespool/wspool-123456`.
#' @param ScalableDimension &#91;required&#93; 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: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.
#' @param MinCapacity 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.
#' @param MaxCapacity 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](https://docs.aws.amazon.com/general/latest/gr/aws-service-information.html)
#' in the *Amazon Web Services General Reference*.
#' @param RoleARN 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](https://docs.aws.amazon.com/autoscaling/application/userguide/security_iam_service-with-iam.html).
#' @param SuspendedState An embedded object that contains attributes and attribute values that
#' are used to suspend and resume automatic scaling. Setting the value of
#' an attribute to `true` suspends the specified scaling activities.
#' Setting it to `false` (default) resumes the specified scaling
#' activities.
#' 
#' **Suspension Outcomes**
#' 
#' -   For `DynamicScalingInSuspended`, while a suspension is in effect,
#'     all scale-in activities that are triggered by a scaling policy are
#'     suspended.
#' 
#' -   For `DynamicScalingOutSuspended`, while a suspension is in effect,
#'     all scale-out activities that are triggered by a scaling policy are
#'     suspended.
#' 
#' -   For `ScheduledScalingSuspended`, while a suspension is in effect,
#'     all scaling activities that involve scheduled actions are suspended.
#' 
#' For more information, see [Suspend and resume
#' scaling](https://docs.aws.amazon.com/autoscaling/application/userguide/application-auto-scaling-suspend-resume-scaling.html)
#' in the *Application Auto Scaling User Guide*.
#' @param 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 [`tag_resource`][applicationautoscaling_tag_resource]
#' 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](https://docs.aws.amazon.com/autoscaling/application/userguide/resource-tagging-support.html)
#' in the *Application Auto Scaling User Guide*.
#'
#' @keywords internal
#'
#' @rdname applicationautoscaling_register_scalable_target
applicationautoscaling_register_scalable_target <- function(ServiceNamespace, ResourceId, ScalableDimension, MinCapacity = NULL, MaxCapacity = NULL, RoleARN = NULL, SuspendedState = NULL, Tags = NULL) {
  op <- new_operation(
    name = "RegisterScalableTarget",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list()
  )
  input <- .applicationautoscaling$register_scalable_target_input(ServiceNamespace = ServiceNamespace, ResourceId = ResourceId, ScalableDimension = ScalableDimension, MinCapacity = MinCapacity, MaxCapacity = MaxCapacity, RoleARN = RoleARN, SuspendedState = SuspendedState, Tags = Tags)
  output <- .applicationautoscaling$register_scalable_target_output()
  config <- get_config()
  svc <- .applicationautoscaling$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.applicationautoscaling$operations$register_scalable_target <- applicationautoscaling_register_scalable_target

#' Adds or edits tags on an Application Auto Scaling scalable target
#'
#' @description
#' Adds or edits tags on an Application Auto Scaling scalable target.
#'
#' See [https://www.paws-r-sdk.com/docs/applicationautoscaling_tag_resource/](https://www.paws-r-sdk.com/docs/applicationautoscaling_tag_resource/) for full documentation.
#'
#' @param ResourceARN &#91;required&#93; 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
#' [`describe_scalable_targets`][applicationautoscaling_describe_scalable_targets].
#' @param Tags &#91;required&#93; 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](https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2/)
#' in the *Amazon Web Services Billing User Guide*.
#'
#' @keywords internal
#'
#' @rdname applicationautoscaling_tag_resource
applicationautoscaling_tag_resource <- function(ResourceARN, Tags) {
  op <- new_operation(
    name = "TagResource",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list()
  )
  input <- .applicationautoscaling$tag_resource_input(ResourceARN = ResourceARN, Tags = Tags)
  output <- .applicationautoscaling$tag_resource_output()
  config <- get_config()
  svc <- .applicationautoscaling$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.applicationautoscaling$operations$tag_resource <- applicationautoscaling_tag_resource

#' Deletes tags from an Application Auto Scaling scalable target
#'
#' @description
#' Deletes tags from an Application Auto Scaling scalable target. To delete a tag, specify the tag key and the Application Auto Scaling scalable target.
#'
#' See [https://www.paws-r-sdk.com/docs/applicationautoscaling_untag_resource/](https://www.paws-r-sdk.com/docs/applicationautoscaling_untag_resource/) for full documentation.
#'
#' @param ResourceARN &#91;required&#93; 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
#' [`describe_scalable_targets`][applicationautoscaling_describe_scalable_targets].
#' @param TagKeys &#91;required&#93; One or more tag keys. Specify only the tag keys, not the tag values.
#'
#' @keywords internal
#'
#' @rdname applicationautoscaling_untag_resource
applicationautoscaling_untag_resource <- function(ResourceARN, TagKeys) {
  op <- new_operation(
    name = "UntagResource",
    http_method = "POST",
    http_path = "/",
    host_prefix = "",
    paginator = list()
  )
  input <- .applicationautoscaling$untag_resource_input(ResourceARN = ResourceARN, TagKeys = TagKeys)
  output <- .applicationautoscaling$untag_resource_output()
  config <- get_config()
  svc <- .applicationautoscaling$service(config, op)
  request <- new_request(svc, op, input, output)
  response <- send_request(request)
  return(response)
}
.applicationautoscaling$operations$untag_resource <- applicationautoscaling_untag_resource
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