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import {Request} from '../lib/request'; import {Response} from '../lib/response'; import {AWSError} from '../lib/error'; import {Service} from '../lib/service'; import {ServiceConfigurationOptions} from '../lib/service'; import {ConfigBase as Config} from '../lib/config-base'; interface Blob {} declare class ApplicationAutoScaling extends Service { /** * Constructs a service object. This object has one method for each API operation. */ constructor(options?: ApplicationAutoScaling.Types.ClientConfiguration) config: Config & ApplicationAutoScaling.Types.ClientConfiguration; /** * Deletes the specified scaling policy for an Application Auto Scaling scalable target. Deleting a step scaling policy deletes the underlying alarm action, but does not delete the CloudWatch alarm associated with the scaling policy, even if it no longer has an associated action. For more information, see Delete a step scaling policy and Delete a target tracking scaling policy in the Application Auto Scaling User Guide. */ deleteScalingPolicy(params: ApplicationAutoScaling.Types.DeleteScalingPolicyRequest, callback?: (err: AWSError, data: ApplicationAutoScaling.Types.DeleteScalingPolicyResponse) => void): Request<ApplicationAutoScaling.Types.DeleteScalingPolicyResponse, AWSError>; /** * Deletes the specified scaling policy for an Application Auto Scaling scalable target. Deleting a step scaling policy deletes the underlying alarm action, but does not delete the CloudWatch alarm associated with the scaling policy, even if it no longer has an associated action. For more information, see Delete a step scaling policy and Delete a target tracking scaling policy in the Application Auto Scaling User Guide. */ deleteScalingPolicy(callback?: (err: AWSError, data: ApplicationAutoScaling.Types.DeleteScalingPolicyResponse) => void): Request<ApplicationAutoScaling.Types.DeleteScalingPolicyResponse, AWSError>; /** * Deletes the specified scheduled action for an Application Auto Scaling scalable target. For more information, see Delete a scheduled action in the Application Auto Scaling User Guide. */ deleteScheduledAction(params: ApplicationAutoScaling.Types.DeleteScheduledActionRequest, callback?: (err: AWSError, data: ApplicationAutoScaling.Types.DeleteScheduledActionResponse) => void): Request<ApplicationAutoScaling.Types.DeleteScheduledActionResponse, AWSError>; /** * Deletes the specified scheduled action for an Application Auto Scaling scalable target. For more information, see Delete a scheduled action in the Application Auto Scaling User Guide. */ deleteScheduledAction(callback?: (err: AWSError, data: ApplicationAutoScaling.Types.DeleteScheduledActionResponse) => void): Request<ApplicationAutoScaling.Types.DeleteScheduledActionResponse, AWSError>; /** * Deregisters an Application Auto Scaling scalable target when you have finished using it. To see which resources have been registered, use DescribeScalableTargets. Deregistering a scalable target deletes the scaling policies and the scheduled actions that are associated with it. */ deregisterScalableTarget(params: ApplicationAutoScaling.Types.DeregisterScalableTargetRequest, callback?: (err: AWSError, data: ApplicationAutoScaling.Types.DeregisterScalableTargetResponse) => void): Request<ApplicationAutoScaling.Types.DeregisterScalableTargetResponse, AWSError>; /** * Deregisters an Application Auto Scaling scalable target when you have finished using it. To see which resources have been registered, use DescribeScalableTargets. Deregistering a scalable target deletes the scaling policies and the scheduled actions that are associated with it. */ deregisterScalableTarget(callback?: (err: AWSError, data: ApplicationAutoScaling.Types.DeregisterScalableTargetResponse) => void): Request<ApplicationAutoScaling.Types.DeregisterScalableTargetResponse, AWSError>; /** * Gets information about the scalable targets in the specified namespace. You can filter the results using ResourceIds and ScalableDimension. */ describeScalableTargets(params: ApplicationAutoScaling.Types.DescribeScalableTargetsRequest, callback?: (err: AWSError, data: ApplicationAutoScaling.Types.DescribeScalableTargetsResponse) => void): Request<ApplicationAutoScaling.Types.DescribeScalableTargetsResponse, AWSError>; /** * Gets information about the scalable targets in the specified namespace. You can filter the results using ResourceIds and ScalableDimension. */ describeScalableTargets(callback?: (err: AWSError, data: ApplicationAutoScaling.Types.DescribeScalableTargetsResponse) => void): Request<ApplicationAutoScaling.Types.DescribeScalableTargetsResponse, AWSError>; /** * Provides descriptive information about the scaling activities in the specified namespace from the previous six weeks. You can filter the results using ResourceId and ScalableDimension. For information about viewing scaling activities using the Amazon Web Services CLI, see Scaling activities for Application Auto Scaling. */ describeScalingActivities(params: ApplicationAutoScaling.Types.DescribeScalingActivitiesRequest, callback?: (err: AWSError, data: ApplicationAutoScaling.Types.DescribeScalingActivitiesResponse) => void): Request<ApplicationAutoScaling.Types.DescribeScalingActivitiesResponse, AWSError>; /** * Provides descriptive information about the scaling activities in the specified namespace from the previous six weeks. You can filter the results using ResourceId and ScalableDimension. For information about viewing scaling activities using the Amazon Web Services CLI, see Scaling activities for Application Auto Scaling. */ describeScalingActivities(callback?: (err: AWSError, data: ApplicationAutoScaling.Types.DescribeScalingActivitiesResponse) => void): Request<ApplicationAutoScaling.Types.DescribeScalingActivitiesResponse, AWSError>; /** * Describes the Application Auto Scaling scaling policies for the specified service namespace. You can filter the results using ResourceId, ScalableDimension, and PolicyNames. For more information, see Target tracking scaling policies and Step scaling policies in the Application Auto Scaling User Guide. */ describeScalingPolicies(params: ApplicationAutoScaling.Types.DescribeScalingPoliciesRequest, callback?: (err: AWSError, data: ApplicationAutoScaling.Types.DescribeScalingPoliciesResponse) => void): Request<ApplicationAutoScaling.Types.DescribeScalingPoliciesResponse, AWSError>; /** * Describes the Application Auto Scaling scaling policies for the specified service namespace. You can filter the results using ResourceId, ScalableDimension, and PolicyNames. For more information, see Target tracking scaling policies and Step scaling policies in the Application Auto Scaling User Guide. */ describeScalingPolicies(callback?: (err: AWSError, data: ApplicationAutoScaling.Types.DescribeScalingPoliciesResponse) => void): Request<ApplicationAutoScaling.Types.DescribeScalingPoliciesResponse, AWSError>; /** * Describes the Application Auto Scaling scheduled actions for the specified service namespace. You can filter the results using the ResourceId, ScalableDimension, and ScheduledActionNames parameters. For more information, see Scheduled scaling in the Application Auto Scaling User Guide. */ describeScheduledActions(params: ApplicationAutoScaling.Types.DescribeScheduledActionsRequest, callback?: (err: AWSError, data: ApplicationAutoScaling.Types.DescribeScheduledActionsResponse) => void): Request<ApplicationAutoScaling.Types.DescribeScheduledActionsResponse, AWSError>; /** * Describes the Application Auto Scaling scheduled actions for the specified service namespace. You can filter the results using the ResourceId, ScalableDimension, and ScheduledActionNames parameters. For more information, see Scheduled scaling in the Application Auto Scaling User Guide. */ describeScheduledActions(callback?: (err: AWSError, data: ApplicationAutoScaling.Types.DescribeScheduledActionsResponse) => void): Request<ApplicationAutoScaling.Types.DescribeScheduledActionsResponse, AWSError>; /** * Returns all the tags on the specified Application Auto Scaling scalable target. For general information about tags, including the format and syntax, see Tagging your Amazon Web Services resources in the Amazon Web Services General Reference. */ listTagsForResource(params: ApplicationAutoScaling.Types.ListTagsForResourceRequest, callback?: (err: AWSError, data: ApplicationAutoScaling.Types.ListTagsForResourceResponse) => void): Request<ApplicationAutoScaling.Types.ListTagsForResourceResponse, AWSError>; /** * Returns all the tags on the specified Application Auto Scaling scalable target. For general information about tags, including the format and syntax, see Tagging your Amazon Web Services resources in the Amazon Web Services General Reference. */ listTagsForResource(callback?: (err: AWSError, data: ApplicationAutoScaling.Types.ListTagsForResourceResponse) => void): Request<ApplicationAutoScaling.Types.ListTagsForResourceResponse, AWSError>; /** * Creates or updates a scaling policy for an Application Auto Scaling scalable target. Each scalable target is identified by a service namespace, resource ID, and scalable dimension. A scaling policy applies to the scalable target identified by those three attributes. You cannot create a scaling policy until you have registered the resource as a scalable target. Multiple scaling policies can be in force at the same time for the same scalable target. You can have one or more target tracking scaling policies, one or more step scaling policies, or both. However, there is a chance that multiple policies could conflict, instructing the scalable target to scale out or in at the same time. Application Auto Scaling gives precedence to the policy that provides the largest capacity for both scale out and scale in. For example, if one policy increases capacity by 3, another policy increases capacity by 200 percent, and the current capacity is 10, Application Auto Scaling uses the policy with the highest calculated capacity (200% of 10 = 20) and scales out to 30. We recommend caution, however, when using target tracking scaling policies with step scaling policies because conflicts between these policies can cause undesirable behavior. For example, if the step scaling policy initiates a scale-in activity before the target tracking policy is ready to scale in, the scale-in activity will not be blocked. After the scale-in activity completes, the target tracking policy could instruct the scalable target to scale out again. For more information, see Target tracking scaling policies and Step scaling policies in the Application Auto Scaling User Guide. If a scalable target is deregistered, the scalable target is no longer available to use scaling policies. Any scaling policies that were specified for the scalable target are deleted. */ putScalingPolicy(params: ApplicationAutoScaling.Types.PutScalingPolicyRequest, callback?: (err: AWSError, data: ApplicationAutoScaling.Types.PutScalingPolicyResponse) => void): Request<ApplicationAutoScaling.Types.PutScalingPolicyResponse, AWSError>; /** * Creates or updates a scaling policy for an Application Auto Scaling scalable target. Each scalable target is identified by a service namespace, resource ID, and scalable dimension. A scaling policy applies to the scalable target identified by those three attributes. You cannot create a scaling policy until you have registered the resource as a scalable target. Multiple scaling policies can be in force at the same time for the same scalable target. You can have one or more target tracking scaling policies, one or more step scaling policies, or both. However, there is a chance that multiple policies could conflict, instructing the scalable target to scale out or in at the same time. Application Auto Scaling gives precedence to the policy that provides the largest capacity for both scale out and scale in. For example, if one policy increases capacity by 3, another policy increases capacity by 200 percent, and the current capacity is 10, Application Auto Scaling uses the policy with the highest calculated capacity (200% of 10 = 20) and scales out to 30. We recommend caution, however, when using target tracking scaling policies with step scaling policies because conflicts between these policies can cause undesirable behavior. For example, if the step scaling policy initiates a scale-in activity before the target tracking policy is ready to scale in, the scale-in activity will not be blocked. After the scale-in activity completes, the target tracking policy could instruct the scalable target to scale out again. For more information, see Target tracking scaling policies and Step scaling policies in the Application Auto Scaling User Guide. If a scalable target is deregistered, the scalable target is no longer available to use scaling policies. Any scaling policies that were specified for the scalable target are deleted. */ putScalingPolicy(callback?: (err: AWSError, data: ApplicationAutoScaling.Types.PutScalingPolicyResponse) => void): Request<ApplicationAutoScaling.Types.PutScalingPolicyResponse, AWSError>; /** * Creates or updates a scheduled action for an Application Auto Scaling scalable target. Each scalable target is identified by a service namespace, resource ID, and scalable dimension. A scheduled action applies to the scalable target identified by those three attributes. You cannot create a scheduled action until you have registered the resource as a scalable target. When you specify start and end times with a recurring schedule using a cron expression or rates, they form the boundaries for when the recurring action starts and stops. To update a scheduled action, specify the parameters that you want to change. If you don't specify start and end times, the old values are deleted. For more information, see Scheduled scaling in the Application Auto Scaling User Guide. If a scalable target is deregistered, the scalable target is no longer available to run scheduled actions. Any scheduled actions that were specified for the scalable target are deleted. */ putScheduledAction(params: ApplicationAutoScaling.Types.PutScheduledActionRequest, callback?: (err: AWSError, data: ApplicationAutoScaling.Types.PutScheduledActionResponse) => void): Request<ApplicationAutoScaling.Types.PutScheduledActionResponse, AWSError>; /** * Creates or updates a scheduled action for an Application Auto Scaling scalable target. Each scalable target is identified by a service namespace, resource ID, and scalable dimension. A scheduled action applies to the scalable target identified by those three attributes. You cannot create a scheduled action until you have registered the resource as a scalable target. When you specify start and end times with a recurring schedule using a cron expression or rates, they form the boundaries for when the recurring action starts and stops. To update a scheduled action, specify the parameters that you want to change. If you don't specify start and end times, the old values are deleted. For more information, see Scheduled scaling in the Application Auto Scaling User Guide. If a scalable target is deregistered, the scalable target is no longer available to run scheduled actions. Any scheduled actions that were specified for the scalable target are deleted. */ putScheduledAction(callback?: (err: AWSError, data: ApplicationAutoScaling.Types.PutScheduledActionResponse) => void): Request<ApplicationAutoScaling.Types.PutScheduledActionResponse, AWSError>; /** * Registers or updates a scalable target, which is the resource that you want to scale. Scalable targets are uniquely identified by the combination of resource ID, scalable dimension, and namespace, which represents some capacity dimension of the underlying service. When you register a new scalable target, you must specify values for the minimum and maximum capacity. If the specified resource is not active in the target service, this operation does not change the resource's current capacity. Otherwise, it changes the resource's current capacity to a value that is inside of this range. If you add a scaling policy, current capacity is adjustable within the specified range when scaling starts. Application Auto Scaling scaling policies will not scale capacity to values that are outside of the minimum and maximum range. After you register a scalable target, you do not need to register it again to use other Application Auto Scaling operations. To see which resources have been registered, use DescribeScalableTargets. You can also view the scaling policies for a service namespace by using DescribeScalableTargets. If you no longer need a scalable target, you can deregister it by using DeregisterScalableTarget. To update a scalable target, specify the parameters that you want to change. Include the parameters that identify the scalable target: resource ID, scalable dimension, and namespace. Any parameters that you don't specify are not changed by this update request. If you call the RegisterScalableTarget API operation to create a scalable target, there might be a brief delay until the operation achieves eventual consistency. You might become aware of this brief delay if you get unexpected errors when performing sequential operations. The typical strategy is to retry the request, and some Amazon Web Services SDKs include automatic backoff and retry logic. If you call the RegisterScalableTarget API operation to update an existing scalable target, Application Auto Scaling retrieves the current capacity of the resource. If it's below the minimum capacity or above the maximum capacity, Application Auto Scaling adjusts the capacity of the scalable target to place it within these bounds, even if you don't include the MinCapacity or MaxCapacity request parameters. */ registerScalableTarget(params: ApplicationAutoScaling.Types.RegisterScalableTargetRequest, callback?: (err: AWSError, data: ApplicationAutoScaling.Types.RegisterScalableTargetResponse) => void): Request<ApplicationAutoScaling.Types.RegisterScalableTargetResponse, AWSError>; /** * Registers or updates a scalable target, which is the resource that you want to scale. Scalable targets are uniquely identified by the combination of resource ID, scalable dimension, and namespace, which represents some capacity dimension of the underlying service. When you register a new scalable target, you must specify values for the minimum and maximum capacity. If the specified resource is not active in the target service, this operation does not change the resource's current capacity. Otherwise, it changes the resource's current capacity to a value that is inside of this range. If you add a scaling policy, current capacity is adjustable within the specified range when scaling starts. Application Auto Scaling scaling policies will not scale capacity to values that are outside of the minimum and maximum range. After you register a scalable target, you do not need to register it again to use other Application Auto Scaling operations. To see which resources have been registered, use DescribeScalableTargets. You can also view the scaling policies for a service namespace by using DescribeScalableTargets. If you no longer need a scalable target, you can deregister it by using DeregisterScalableTarget. To update a scalable target, specify the parameters that you want to change. Include the parameters that identify the scalable target: resource ID, scalable dimension, and namespace. Any parameters that you don't specify are not changed by this update request. If you call the RegisterScalableTarget API operation to create a scalable target, there might be a brief delay until the operation achieves eventual consistency. You might become aware of this brief delay if you get unexpected errors when performing sequential operations. The typical strategy is to retry the request, and some Amazon Web Services SDKs include automatic backoff and retry logic. If you call the RegisterScalableTarget API operation to update an existing scalable target, Application Auto Scaling retrieves the current capacity of the resource. If it's below the minimum capacity or above the maximum capacity, Application Auto Scaling adjusts the capacity of the scalable target to place it within these bounds, even if you don't include the MinCapacity or MaxCapacity request parameters. */ registerScalableTarget(callback?: (err: AWSError, data: ApplicationAutoScaling.Types.RegisterScalableTargetResponse) => void): Request<ApplicationAutoScaling.Types.RegisterScalableTargetResponse, AWSError>; /** * Adds or edits tags on an Application Auto Scaling scalable target. Each tag consists of a tag key and a tag value, which are both case-sensitive strings. To add a tag, specify a new tag key and a tag value. To edit a tag, specify an existing tag key and a new tag value. You can use this operation to tag an Application Auto Scaling scalable target, but you cannot tag a scaling policy or scheduled action. You can also add tags to an Application Auto Scaling scalable target while creating it (RegisterScalableTarget). For general information about tags, including the format and syntax, see Tagging your Amazon Web Services resources in the Amazon Web Services General Reference. Use tags to control access to a scalable target. For more information, see Tagging support for Application Auto Scaling in the Application Auto Scaling User Guide. */ tagResource(params: ApplicationAutoScaling.Types.TagResourceRequest, callback?: (err: AWSError, data: ApplicationAutoScaling.Types.TagResourceResponse) => void): Request<ApplicationAutoScaling.Types.TagResourceResponse, AWSError>; /** * Adds or edits tags on an Application Auto Scaling scalable target. Each tag consists of a tag key and a tag value, which are both case-sensitive strings. To add a tag, specify a new tag key and a tag value. To edit a tag, specify an existing tag key and a new tag value. You can use this operation to tag an Application Auto Scaling scalable target, but you cannot tag a scaling policy or scheduled action. You can also add tags to an Application Auto Scaling scalable target while creating it (RegisterScalableTarget). For general information about tags, including the format and syntax, see Tagging your Amazon Web Services resources in the Amazon Web Services General Reference. Use tags to control access to a scalable target. For more information, see Tagging support for Application Auto Scaling in the Application Auto Scaling User Guide. */ tagResource(callback?: (err: AWSError, data: ApplicationAutoScaling.Types.TagResourceResponse) => void): Request<ApplicationAutoScaling.Types.TagResourceResponse, AWSError>; /** * Deletes tags from an Application Auto Scaling scalable target. To delete a tag, specify the tag key and the Application Auto Scaling scalable target. */ untagResource(params: ApplicationAutoScaling.Types.UntagResourceRequest, callback?: (err: AWSError, data: ApplicationAutoScaling.Types.UntagResourceResponse) => void): Request<ApplicationAutoScaling.Types.UntagResourceResponse, AWSError>; /** * Deletes tags from an Application Auto Scaling scalable target. To delete a tag, specify the tag key and the Application Auto Scaling scalable target. */ untagResource(callback?: (err: AWSError, data: ApplicationAutoScaling.Types.UntagResourceResponse) => void): Request<ApplicationAutoScaling.Types.UntagResourceResponse, AWSError>; } declare namespace ApplicationAutoScaling { export type AdjustmentType = "ChangeInCapacity"|"PercentChangeInCapacity"|"ExactCapacity"|string; export interface Alarm { /** * The name of the alarm. */ AlarmName: ResourceId; /** * The Amazon Resource Name (ARN) of the alarm. */ AlarmARN: ResourceId; } export type Alarms = Alarm[]; export type AmazonResourceName = string; export type Cooldown = number; export interface CustomizedMetricSpecification { /** * The name of the metric. To get the exact metric name, namespace, and dimensions, inspect the Metric object that's returned by a call to ListMetrics. */ MetricName?: MetricName; /** * The namespace of the metric. */ Namespace?: MetricNamespace; /** * The dimensions of the metric. Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy. */ Dimensions?: MetricDimensions; /** * The statistic of the metric. */ Statistic?: MetricStatistic; /** * The unit of the metric. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference. */ Unit?: MetricUnit; /** * The metrics to include in the target tracking scaling policy, as a metric data query. This can include both raw metric and metric math expressions. */ Metrics?: TargetTrackingMetricDataQueries; } export interface DeleteScalingPolicyRequest { /** * The name of the scaling policy. */ PolicyName: ResourceIdMaxLen1600; /** * 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. */ ServiceNamespace: ServiceNamespace; /** * 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. 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. */ ResourceId: ResourceIdMaxLen1600; /** * 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. */ ScalableDimension: ScalableDimension; } export interface DeleteScalingPolicyResponse { } export interface DeleteScheduledActionRequest { /** * 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. */ ServiceNamespace: ServiceNamespace; /** * The name of the scheduled action. */ ScheduledActionName: ResourceIdMaxLen1600; /** * 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. 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. */ ResourceId: ResourceIdMaxLen1600; /** * 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. */ ScalableDimension: ScalableDimension; } export interface DeleteScheduledActionResponse { } export interface DeregisterScalableTargetRequest { /** * 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. */ ServiceNamespace: ServiceNamespace; /** * 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. 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. */ ResourceId: ResourceIdMaxLen1600; /** * 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. */ ScalableDimension: ScalableDimension; } export interface DeregisterScalableTargetResponse { } export interface DescribeScalableTargetsRequest { /** * 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. */ ServiceNamespace: ServiceNamespace; /** * 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. 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. */ ResourceIds?: ResourceIdsMaxLen1600; /** * 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:DesiredInst