{ "smithy": "1.0", "metadata": { "suppressions": [ { "id": "HttpMethodSemantics", "namespace": "*" }, { "id": "HttpResponseCodeSemantics", "namespace": "*" }, { "id": "PaginatedTrait", "namespace": "*" }, { "id": "HttpHeaderTrait", "namespace": "*" }, { "id": "HttpUriConflict", "namespace": "*" }, { "id": "Service", "namespace": "*" } ] }, "shapes": { "com.amazonaws.applicationautoscaling#AdjustmentType": { "type": "string", "traits": { "smithy.api#enum": [ { "value": "ChangeInCapacity", "name": "ChangeInCapacity" }, { "value": "PercentChangeInCapacity", "name": "PercentChangeInCapacity" }, { "value": "ExactCapacity", "name": "ExactCapacity" } ] } }, "com.amazonaws.applicationautoscaling#Alarm": { "type": "structure", "members": { "AlarmName": { "target": "com.amazonaws.applicationautoscaling#ResourceId", "traits": { "smithy.api#documentation": "
The name of the alarm.
", "smithy.api#required": {} } }, "AlarmARN": { "target": "com.amazonaws.applicationautoscaling#ResourceId", "traits": { "smithy.api#documentation": "The Amazon Resource Name (ARN) of the alarm.
", "smithy.api#required": {} } } }, "traits": { "smithy.api#documentation": "Represents a CloudWatch alarm associated with a scaling policy.
" } }, "com.amazonaws.applicationautoscaling#Alarms": { "type": "list", "member": { "target": "com.amazonaws.applicationautoscaling#Alarm" } }, "com.amazonaws.applicationautoscaling#AnyScaleFrontendService": { "type": "service", "version": "2016-02-06", "operations": [ { "target": "com.amazonaws.applicationautoscaling#DeleteScalingPolicy" }, { "target": "com.amazonaws.applicationautoscaling#DeleteScheduledAction" }, { "target": "com.amazonaws.applicationautoscaling#DeregisterScalableTarget" }, { "target": "com.amazonaws.applicationautoscaling#DescribeScalableTargets" }, { "target": "com.amazonaws.applicationautoscaling#DescribeScalingActivities" }, { "target": "com.amazonaws.applicationautoscaling#DescribeScalingPolicies" }, { "target": "com.amazonaws.applicationautoscaling#DescribeScheduledActions" }, { "target": "com.amazonaws.applicationautoscaling#PutScalingPolicy" }, { "target": "com.amazonaws.applicationautoscaling#PutScheduledAction" }, { "target": "com.amazonaws.applicationautoscaling#RegisterScalableTarget" } ], "traits": { "aws.api#service": { "sdkId": "Application Auto Scaling", "arnNamespace": "application-autoscaling", "cloudFormationName": "ApplicationAutoScaling", "cloudTrailEventSource": "applicationautoscaling.amazonaws.com", "endpointPrefix": "application-autoscaling" }, "aws.auth#sigv4": { "name": "application-autoscaling" }, "aws.protocols#awsJson1_1": {}, "smithy.api#documentation": "With Application Auto Scaling, you can configure automatic scaling for the following\n resources:
\nAmazon ECS services
\nAmazon EC2 Spot Fleet requests
\nAmazon EMR clusters
\nAmazon AppStream 2.0 fleets
\nAmazon DynamoDB tables and global secondary indexes throughput capacity
\nAmazon Aurora Replicas
\nAmazon SageMaker endpoint variants
\nCustom resources provided by your own applications or services
\nAmazon Comprehend document classification and entity recognizer endpoints
\nAWS Lambda function provisioned concurrency
\nAmazon Keyspaces (for Apache Cassandra) tables
\nAmazon Managed Streaming for Apache Kafka broker storage
\n\n API Summary\n
\nThe Application Auto Scaling service API includes three key sets of actions:
\nRegister and manage scalable targets - Register AWS or custom resources as scalable\n targets (a resource that Application Auto Scaling can scale), set minimum and maximum capacity limits, and\n retrieve information on existing scalable targets.
\nConfigure and manage automatic scaling - Define scaling policies to dynamically scale\n your resources in response to CloudWatch alarms, schedule one-time or recurring scaling actions,\n and retrieve your recent scaling activity history.
\nSuspend and resume scaling - Temporarily suspend and later resume automatic scaling by\n calling the RegisterScalableTarget API action for any Application Auto Scaling scalable target. You can\n suspend and resume (individually or in combination) scale-out activities that are\n triggered by a scaling policy, scale-in activities that are triggered by a scaling policy,\n and scheduled scaling.
\nTo learn more about Application Auto Scaling, including information about granting IAM users required\n permissions for Application Auto Scaling actions, see the Application Auto Scaling User\n Guide.
", "smithy.api#title": "Application Auto Scaling" } }, "com.amazonaws.applicationautoscaling#ConcurrentUpdateException": { "type": "structure", "members": { "Message": { "target": "com.amazonaws.applicationautoscaling#ErrorMessage" } }, "traits": { "smithy.api#documentation": "Concurrent updates caused an exception, for example, if you request an update to an\n Application Auto Scaling resource that already has a pending update.
", "smithy.api#error": "server", "smithy.api#httpError": 500 } }, "com.amazonaws.applicationautoscaling#Cooldown": { "type": "integer", "traits": { "smithy.api#box": {} } }, "com.amazonaws.applicationautoscaling#CustomizedMetricSpecification": { "type": "structure", "members": { "MetricName": { "target": "com.amazonaws.applicationautoscaling#MetricName", "traits": { "smithy.api#documentation": "The name of the metric.
", "smithy.api#required": {} } }, "Namespace": { "target": "com.amazonaws.applicationautoscaling#MetricNamespace", "traits": { "smithy.api#documentation": "The namespace of the metric.
", "smithy.api#required": {} } }, "Dimensions": { "target": "com.amazonaws.applicationautoscaling#MetricDimensions", "traits": { "smithy.api#documentation": "The dimensions of the metric.
\nConditional: If you published your metric with dimensions, you must specify the same\n dimensions in your scaling policy.
" } }, "Statistic": { "target": "com.amazonaws.applicationautoscaling#MetricStatistic", "traits": { "smithy.api#documentation": "The statistic of the metric.
", "smithy.api#required": {} } }, "Unit": { "target": "com.amazonaws.applicationautoscaling#MetricUnit", "traits": { "smithy.api#documentation": "The unit of the metric.
" } } }, "traits": { "smithy.api#documentation": "Represents a CloudWatch metric of your choosing for a target tracking scaling policy to use\n with Application Auto Scaling.
\nFor information about the available metrics for a service, see AWS\n Services That Publish CloudWatch Metrics in the Amazon CloudWatch User\n Guide.
\nTo create your customized metric specification:
\nAdd values for each required parameter from CloudWatch. You can use an existing metric,\n or a new metric that you create. To use your own metric, you must first publish the\n metric to CloudWatch. For more information, see Publish Custom\n Metrics in the Amazon CloudWatch User Guide.
\nChoose a metric that changes proportionally with capacity. The value of the metric\n should increase or decrease in inverse proportion to the number of capacity units.\n That is, the value of the metric should decrease when capacity increases, and\n increase when capacity decreases.
\nFor more information about CloudWatch, see Amazon CloudWatch\n Concepts.
" } }, "com.amazonaws.applicationautoscaling#DeleteScalingPolicy": { "type": "operation", "input": { "target": "com.amazonaws.applicationautoscaling#DeleteScalingPolicyRequest" }, "output": { "target": "com.amazonaws.applicationautoscaling#DeleteScalingPolicyResponse" }, "errors": [ { "target": "com.amazonaws.applicationautoscaling#ConcurrentUpdateException" }, { "target": "com.amazonaws.applicationautoscaling#InternalServiceException" }, { "target": "com.amazonaws.applicationautoscaling#ObjectNotFoundException" }, { "target": "com.amazonaws.applicationautoscaling#ValidationException" } ], "traits": { "smithy.api#documentation": "Deletes the specified scaling policy for an Application Auto Scaling scalable target.
\nDeleting a step scaling policy deletes the underlying alarm action, but does not delete\n the CloudWatch alarm associated with the scaling policy, even if it no longer has an associated\n action.
\nFor more information, see Delete a step scaling policy and Delete a target tracking scaling policy in the\n Application Auto Scaling User Guide.
" } }, "com.amazonaws.applicationautoscaling#DeleteScalingPolicyRequest": { "type": "structure", "members": { "PolicyName": { "target": "com.amazonaws.applicationautoscaling#ResourceIdMaxLen1600", "traits": { "smithy.api#documentation": "The name of the scaling policy.
", "smithy.api#required": {} } }, "ServiceNamespace": { "target": "com.amazonaws.applicationautoscaling#ServiceNamespace", "traits": { "smithy.api#documentation": "The namespace of the AWS service that provides the resource. For a resource provided\n by your own application or service, use custom-resource
instead.
The identifier of the resource associated with the scalable target.\n This string consists of the resource type and unique identifier.
\nECS service - The resource type is service
and the unique identifier is the cluster name \n and service name. Example: service/default/sample-webapp
.
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the \n 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.\n Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name.\n Example: fleet/sample-fleet
.
DynamoDB table - The resource type is table
and the unique identifier is the table name. \n Example: table/my-table
.
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. \n Example: table/my-table/index/my-table-index
.
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name.\n Example: cluster:my-db-cluster
.
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID.\n 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\n is available in our GitHub\n 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
. \n 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. \n Example: keyspace/mykeyspace/table/mytable
.
Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. \n Example: arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5
.
The scalable dimension. This string consists of the service namespace, resource type, and scaling property.
\n\n ecs:service:DesiredCount
- The desired task count of an ECS service.
\n ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
\n elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
\n appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
\n dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
\n dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
\n dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
\n dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
\n rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
\n sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
\n custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
\n comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
\n comprehend:entity-recognizer-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend entity recognizer endpoint.
\n lambda:function:ProvisionedConcurrency
- The provisioned concurrency for a Lambda function.
\n cassandra:table:ReadCapacityUnits
- The provisioned read capacity for an Amazon Keyspaces table.
\n cassandra:table:WriteCapacityUnits
- The provisioned write capacity for an Amazon Keyspaces table.
\n kafka:broker-storage:VolumeSize
- The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster.
Deletes the specified scheduled action for an Application Auto Scaling scalable target.
\nFor more information, see Delete a scheduled action in the Application Auto Scaling User Guide.
" } }, "com.amazonaws.applicationautoscaling#DeleteScheduledActionRequest": { "type": "structure", "members": { "ServiceNamespace": { "target": "com.amazonaws.applicationautoscaling#ServiceNamespace", "traits": { "smithy.api#documentation": "The namespace of the AWS service that provides the resource. For a resource provided\n by your own application or service, use custom-resource
instead.
The name of the scheduled action.
", "smithy.api#required": {} } }, "ResourceId": { "target": "com.amazonaws.applicationautoscaling#ResourceIdMaxLen1600", "traits": { "smithy.api#documentation": "The identifier of the resource associated with the scheduled action.\n This string consists of the resource type and unique identifier.
\nECS service - The resource type is service
and the unique identifier is the cluster name \n and service name. Example: service/default/sample-webapp
.
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the \n 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.\n Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name.\n Example: fleet/sample-fleet
.
DynamoDB table - The resource type is table
and the unique identifier is the table name. \n Example: table/my-table
.
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. \n Example: table/my-table/index/my-table-index
.
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name.\n Example: cluster:my-db-cluster
.
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID.\n 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\n is available in our GitHub\n 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
. \n 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. \n Example: keyspace/mykeyspace/table/mytable
.
Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. \n Example: arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5
.
The scalable dimension. This string consists of the service namespace, resource type, and scaling property.
\n\n ecs:service:DesiredCount
- The desired task count of an ECS service.
\n ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
\n elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
\n appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
\n dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
\n dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
\n dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
\n dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
\n rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
\n sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
\n custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
\n comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
\n comprehend:entity-recognizer-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend entity recognizer endpoint.
\n lambda:function:ProvisionedConcurrency
- The provisioned concurrency for a Lambda function.
\n cassandra:table:ReadCapacityUnits
- The provisioned read capacity for an Amazon Keyspaces table.
\n cassandra:table:WriteCapacityUnits
- The provisioned write capacity for an Amazon Keyspaces table.
\n kafka:broker-storage:VolumeSize
- The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster.
Deregisters an Application Auto Scaling scalable target when you have finished using it. To see which\n resources have been registered, use DescribeScalableTargets.
\nDeregistering a scalable target deletes the scaling policies and the scheduled\n actions that are associated with it.
\nThe namespace of the AWS service that provides the resource. For a resource provided\n by your own application or service, use custom-resource
instead.
The identifier of the resource associated with the scalable target.\n This string consists of the resource type and unique identifier.
\nECS service - The resource type is service
and the unique identifier is the cluster name \n and service name. Example: service/default/sample-webapp
.
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the \n 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.\n Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name.\n Example: fleet/sample-fleet
.
DynamoDB table - The resource type is table
and the unique identifier is the table name. \n Example: table/my-table
.
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. \n Example: table/my-table/index/my-table-index
.
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name.\n Example: cluster:my-db-cluster
.
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID.\n 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\n is available in our GitHub\n 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
. \n 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. \n Example: keyspace/mykeyspace/table/mytable
.
Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. \n Example: arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5
.
The scalable dimension associated with the scalable target.\n This string consists of the service namespace, resource type, and scaling property.
\n\n ecs:service:DesiredCount
- The desired task count of an ECS service.
\n ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
\n elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
\n appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
\n dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
\n dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
\n dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
\n dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
\n rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
\n sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
\n custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
\n comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
\n comprehend:entity-recognizer-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend entity recognizer endpoint.
\n lambda:function:ProvisionedConcurrency
- The provisioned concurrency for a Lambda function.
\n cassandra:table:ReadCapacityUnits
- The provisioned read capacity for an Amazon Keyspaces table.
\n cassandra:table:WriteCapacityUnits
- The provisioned write capacity for an Amazon Keyspaces table.
\n kafka:broker-storage:VolumeSize
- The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster.
Gets information about the scalable targets in the specified namespace.
\nYou can filter the results using ResourceIds
and\n ScalableDimension
.
The namespace of the AWS service that provides the resource. For a resource provided\n by your own application or service, use custom-resource
instead.
The identifier of the resource associated with the scalable target.\n This string consists of the resource type and unique identifier.
\nECS service - The resource type is service
and the unique identifier is the cluster name \n and service name. Example: service/default/sample-webapp
.
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the \n 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.\n Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name.\n Example: fleet/sample-fleet
.
DynamoDB table - The resource type is table
and the unique identifier is the table name. \n Example: table/my-table
.
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. \n Example: table/my-table/index/my-table-index
.
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name.\n Example: cluster:my-db-cluster
.
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID.\n 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\n is available in our GitHub\n 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
. \n 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. \n Example: keyspace/mykeyspace/table/mytable
.
Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. \n Example: arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5
.
The scalable dimension associated with the scalable target.\n 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.
\n\n ecs:service:DesiredCount
- The desired task count of an ECS service.
\n ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
\n elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
\n appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
\n dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
\n dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
\n dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
\n dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
\n rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
\n sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
\n custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
\n comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
\n comprehend:entity-recognizer-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend entity recognizer endpoint.
\n lambda:function:ProvisionedConcurrency
- The provisioned concurrency for a Lambda function.
\n cassandra:table:ReadCapacityUnits
- The provisioned read capacity for an Amazon Keyspaces table.
\n cassandra:table:WriteCapacityUnits
- The provisioned write capacity for an Amazon Keyspaces table.
\n kafka:broker-storage:VolumeSize
- The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster.
The maximum number of scalable targets. This value can be between 1 and\n 50. The default value is 50.
\nIf this parameter is used, the operation returns up to MaxResults
results\n at a time, along with a NextToken
value. To get the next set of results,\n include the NextToken
value in a subsequent call. If this parameter is not\n used, the operation returns up to 50 results and a\n NextToken
value, if applicable.
The token for the next set of results.
" } } } }, "com.amazonaws.applicationautoscaling#DescribeScalableTargetsResponse": { "type": "structure", "members": { "ScalableTargets": { "target": "com.amazonaws.applicationautoscaling#ScalableTargets", "traits": { "smithy.api#documentation": "The scalable targets that match the request parameters.
" } }, "NextToken": { "target": "com.amazonaws.applicationautoscaling#XmlString", "traits": { "smithy.api#documentation": "The token required to get the next set of results. This value is null
if\n there are no more results to return.
Provides descriptive information about the scaling activities in the specified namespace\n from the previous six weeks.
\nYou can filter the results using ResourceId
and\n ScalableDimension
.
The namespace of the AWS service that provides the resource. For a resource provided\n by your own application or service, use custom-resource
instead.
The identifier of the resource associated with the scaling activity.\n This string consists of the resource type and unique identifier.
\nECS service - The resource type is service
and the unique identifier is the cluster name \n and service name. Example: service/default/sample-webapp
.
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the \n 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.\n Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name.\n Example: fleet/sample-fleet
.
DynamoDB table - The resource type is table
and the unique identifier is the table name. \n Example: table/my-table
.
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. \n Example: table/my-table/index/my-table-index
.
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name.\n Example: cluster:my-db-cluster
.
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID.\n 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\n is available in our GitHub\n 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
. \n 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. \n Example: keyspace/mykeyspace/table/mytable
.
Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. \n Example: arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5
.
The scalable dimension. This string consists of the service namespace, resource type, and scaling property.\n If you specify a scalable dimension, you must also specify a resource ID.
\n\n ecs:service:DesiredCount
- The desired task count of an ECS service.
\n ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
\n elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
\n appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
\n dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
\n dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
\n dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
\n dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
\n rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
\n sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
\n custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
\n comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
\n comprehend:entity-recognizer-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend entity recognizer endpoint.
\n lambda:function:ProvisionedConcurrency
- The provisioned concurrency for a Lambda function.
\n cassandra:table:ReadCapacityUnits
- The provisioned read capacity for an Amazon Keyspaces table.
\n cassandra:table:WriteCapacityUnits
- The provisioned write capacity for an Amazon Keyspaces table.
\n kafka:broker-storage:VolumeSize
- The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster.
The maximum number of scalable targets. This value can be between 1 and\n 50. The default value is 50.
\nIf this parameter is used, the operation returns up to MaxResults
results\n at a time, along with a NextToken
value. To get the next set of results,\n include the NextToken
value in a subsequent call. If this parameter is not\n used, the operation returns up to 50 results and a\n NextToken
value, if applicable.
The token for the next set of results.
" } } } }, "com.amazonaws.applicationautoscaling#DescribeScalingActivitiesResponse": { "type": "structure", "members": { "ScalingActivities": { "target": "com.amazonaws.applicationautoscaling#ScalingActivities", "traits": { "smithy.api#documentation": "A list of scaling activity objects.
" } }, "NextToken": { "target": "com.amazonaws.applicationautoscaling#XmlString", "traits": { "smithy.api#documentation": "The token required to get the next set of results. This value is null
if\n there are no more results to return.
Describes the Application Auto Scaling scaling policies for the specified service namespace.
\nYou can filter the results using ResourceId
,\n ScalableDimension
, and PolicyNames
.
For more information, see Target tracking scaling policies and Step scaling policies in the Application Auto Scaling User Guide.
", "smithy.api#paginated": { "inputToken": "NextToken", "outputToken": "NextToken", "items": "ScalingPolicies", "pageSize": "MaxResults" } } }, "com.amazonaws.applicationautoscaling#DescribeScalingPoliciesRequest": { "type": "structure", "members": { "PolicyNames": { "target": "com.amazonaws.applicationautoscaling#ResourceIdsMaxLen1600", "traits": { "smithy.api#documentation": "The names of the scaling policies to describe.
" } }, "ServiceNamespace": { "target": "com.amazonaws.applicationautoscaling#ServiceNamespace", "traits": { "smithy.api#documentation": "The namespace of the AWS service that provides the resource. For a resource provided\n by your own application or service, use custom-resource
instead.
The identifier of the resource associated with the scaling policy.\n This string consists of the resource type and unique identifier.
\nECS service - The resource type is service
and the unique identifier is the cluster name \n and service name. Example: service/default/sample-webapp
.
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the \n 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.\n Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name.\n Example: fleet/sample-fleet
.
DynamoDB table - The resource type is table
and the unique identifier is the table name. \n Example: table/my-table
.
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. \n Example: table/my-table/index/my-table-index
.
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name.\n Example: cluster:my-db-cluster
.
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID.\n 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\n is available in our GitHub\n 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
. \n 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. \n Example: keyspace/mykeyspace/table/mytable
.
Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. \n Example: arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5
.
The scalable dimension. This string consists of the service namespace, resource type, and scaling property.\n If you specify a scalable dimension, you must also specify a resource ID.
\n\n ecs:service:DesiredCount
- The desired task count of an ECS service.
\n ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
\n elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
\n appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
\n dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
\n dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
\n dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
\n dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
\n rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
\n sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
\n custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
\n comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
\n comprehend:entity-recognizer-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend entity recognizer endpoint.
\n lambda:function:ProvisionedConcurrency
- The provisioned concurrency for a Lambda function.
\n cassandra:table:ReadCapacityUnits
- The provisioned read capacity for an Amazon Keyspaces table.
\n cassandra:table:WriteCapacityUnits
- The provisioned write capacity for an Amazon Keyspaces table.
\n kafka:broker-storage:VolumeSize
- The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster.
The maximum number of scalable targets. This value can be between 1 and\n 50. The default value is 50.
\nIf this parameter is used, the operation returns up to MaxResults
results\n at a time, along with a NextToken
value. To get the next set of results,\n include the NextToken
value in a subsequent call. If this parameter is not\n used, the operation returns up to 50 results and a\n NextToken
value, if applicable.
The token for the next set of results.
" } } } }, "com.amazonaws.applicationautoscaling#DescribeScalingPoliciesResponse": { "type": "structure", "members": { "ScalingPolicies": { "target": "com.amazonaws.applicationautoscaling#ScalingPolicies", "traits": { "smithy.api#documentation": "Information about the scaling policies.
" } }, "NextToken": { "target": "com.amazonaws.applicationautoscaling#XmlString", "traits": { "smithy.api#documentation": "The token required to get the next set of results. This value is null
if\n there are no more results to return.
Describes the Application Auto Scaling scheduled actions for the specified service namespace.
\nYou can filter the results using the ResourceId
,\n ScalableDimension
, and ScheduledActionNames
parameters.
For more information, see Scheduled scaling and Managing scheduled scaling in the\n Application Auto Scaling User Guide.
", "smithy.api#paginated": { "inputToken": "NextToken", "outputToken": "NextToken", "items": "ScheduledActions", "pageSize": "MaxResults" } } }, "com.amazonaws.applicationautoscaling#DescribeScheduledActionsRequest": { "type": "structure", "members": { "ScheduledActionNames": { "target": "com.amazonaws.applicationautoscaling#ResourceIdsMaxLen1600", "traits": { "smithy.api#documentation": "The names of the scheduled actions to describe.
" } }, "ServiceNamespace": { "target": "com.amazonaws.applicationautoscaling#ServiceNamespace", "traits": { "smithy.api#documentation": "The namespace of the AWS service that provides the resource. For a resource provided\n by your own application or service, use custom-resource
instead.
The identifier of the resource associated with the scheduled action.\n This string consists of the resource type and unique identifier.
\nECS service - The resource type is service
and the unique identifier is the cluster name \n and service name. Example: service/default/sample-webapp
.
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the \n 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.\n Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name.\n Example: fleet/sample-fleet
.
DynamoDB table - The resource type is table
and the unique identifier is the table name. \n Example: table/my-table
.
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. \n Example: table/my-table/index/my-table-index
.
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name.\n Example: cluster:my-db-cluster
.
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID.\n 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\n is available in our GitHub\n 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
. \n 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. \n Example: keyspace/mykeyspace/table/mytable
.
Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. \n Example: arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5
.
The scalable dimension. This string consists of the service namespace, resource type, and scaling property.\n If you specify a scalable dimension, you must also specify a resource ID.
\n\n ecs:service:DesiredCount
- The desired task count of an ECS service.
\n ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
\n elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
\n appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
\n dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
\n dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
\n dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
\n dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
\n rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
\n sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
\n custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
\n comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
\n comprehend:entity-recognizer-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend entity recognizer endpoint.
\n lambda:function:ProvisionedConcurrency
- The provisioned concurrency for a Lambda function.
\n cassandra:table:ReadCapacityUnits
- The provisioned read capacity for an Amazon Keyspaces table.
\n cassandra:table:WriteCapacityUnits
- The provisioned write capacity for an Amazon Keyspaces table.
\n kafka:broker-storage:VolumeSize
- The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster.
The maximum number of scheduled action results. This value can be between\n 1 and 50. The default value is 50.
\nIf this parameter is used, the operation returns up to MaxResults
results\n at a time, along with a NextToken
value. To get the next set of results,\n include the NextToken
value in a subsequent call. If this parameter is not\n used, the operation returns up to 50 results and a\n NextToken
value, if applicable.
The token for the next set of results.
" } } } }, "com.amazonaws.applicationautoscaling#DescribeScheduledActionsResponse": { "type": "structure", "members": { "ScheduledActions": { "target": "com.amazonaws.applicationautoscaling#ScheduledActions", "traits": { "smithy.api#documentation": "Information about the scheduled actions.
" } }, "NextToken": { "target": "com.amazonaws.applicationautoscaling#XmlString", "traits": { "smithy.api#documentation": "The token required to get the next set of results. This value is null
if\n there are no more results to return.
Failed access to resources caused an exception. This exception is thrown when Application Auto Scaling\n is unable to retrieve the alarms associated with a scaling policy due to a client error,\n for example, if the role ARN specified for a scalable target does not have permission to\n call the CloudWatch DescribeAlarms on your behalf.
", "smithy.api#error": "client", "smithy.api#httpError": 400 } }, "com.amazonaws.applicationautoscaling#InternalServiceException": { "type": "structure", "members": { "Message": { "target": "com.amazonaws.applicationautoscaling#ErrorMessage" } }, "traits": { "smithy.api#documentation": "The service encountered an internal error.
", "smithy.api#error": "server", "smithy.api#httpError": 500 } }, "com.amazonaws.applicationautoscaling#InvalidNextTokenException": { "type": "structure", "members": { "Message": { "target": "com.amazonaws.applicationautoscaling#ErrorMessage" } }, "traits": { "smithy.api#documentation": "The next token supplied was invalid.
", "smithy.api#error": "client", "smithy.api#httpError": 400 } }, "com.amazonaws.applicationautoscaling#LimitExceededException": { "type": "structure", "members": { "Message": { "target": "com.amazonaws.applicationautoscaling#ErrorMessage" } }, "traits": { "smithy.api#documentation": "A per-account resource limit is exceeded. For more information, see Application Auto Scaling service quotas.
", "smithy.api#error": "client", "smithy.api#httpError": 400 } }, "com.amazonaws.applicationautoscaling#MaxResults": { "type": "integer", "traits": { "smithy.api#box": {} } }, "com.amazonaws.applicationautoscaling#MetricAggregationType": { "type": "string", "traits": { "smithy.api#enum": [ { "value": "Average", "name": "Average" }, { "value": "Minimum", "name": "Minimum" }, { "value": "Maximum", "name": "Maximum" } ] } }, "com.amazonaws.applicationautoscaling#MetricDimension": { "type": "structure", "members": { "Name": { "target": "com.amazonaws.applicationautoscaling#MetricDimensionName", "traits": { "smithy.api#documentation": "The name of the dimension.
", "smithy.api#required": {} } }, "Value": { "target": "com.amazonaws.applicationautoscaling#MetricDimensionValue", "traits": { "smithy.api#documentation": "The value of the dimension.
", "smithy.api#required": {} } } }, "traits": { "smithy.api#documentation": "Describes the dimension names and values associated with a metric.
" } }, "com.amazonaws.applicationautoscaling#MetricDimensionName": { "type": "string" }, "com.amazonaws.applicationautoscaling#MetricDimensionValue": { "type": "string" }, "com.amazonaws.applicationautoscaling#MetricDimensions": { "type": "list", "member": { "target": "com.amazonaws.applicationautoscaling#MetricDimension" } }, "com.amazonaws.applicationautoscaling#MetricName": { "type": "string" }, "com.amazonaws.applicationautoscaling#MetricNamespace": { "type": "string" }, "com.amazonaws.applicationautoscaling#MetricScale": { "type": "double", "traits": { "smithy.api#box": {} } }, "com.amazonaws.applicationautoscaling#MetricStatistic": { "type": "string", "traits": { "smithy.api#enum": [ { "value": "Average", "name": "Average" }, { "value": "Minimum", "name": "Minimum" }, { "value": "Maximum", "name": "Maximum" }, { "value": "SampleCount", "name": "SampleCount" }, { "value": "Sum", "name": "Sum" } ] } }, "com.amazonaws.applicationautoscaling#MetricType": { "type": "string", "traits": { "smithy.api#enum": [ { "value": "DynamoDBReadCapacityUtilization", "name": "DynamoDBReadCapacityUtilization" }, { "value": "DynamoDBWriteCapacityUtilization", "name": "DynamoDBWriteCapacityUtilization" }, { "value": "ALBRequestCountPerTarget", "name": "ALBRequestCountPerTarget" }, { "value": "RDSReaderAverageCPUUtilization", "name": "RDSReaderAverageCPUUtilization" }, { "value": "RDSReaderAverageDatabaseConnections", "name": "RDSReaderAverageDatabaseConnections" }, { "value": "EC2SpotFleetRequestAverageCPUUtilization", "name": "EC2SpotFleetRequestAverageCPUUtilization" }, { "value": "EC2SpotFleetRequestAverageNetworkIn", "name": "EC2SpotFleetRequestAverageNetworkIn" }, { "value": "EC2SpotFleetRequestAverageNetworkOut", "name": "EC2SpotFleetRequestAverageNetworkOut" }, { "value": "SageMakerVariantInvocationsPerInstance", "name": "SageMakerVariantInvocationsPerInstance" }, { "value": "ECSServiceAverageCPUUtilization", "name": "ECSServiceAverageCPUUtilization" }, { "value": "ECSServiceAverageMemoryUtilization", "name": "ECSServiceAverageMemoryUtilization" }, { "value": "AppStreamAverageCapacityUtilization", "name": "AppStreamAverageCapacityUtilization" }, { "value": "ComprehendInferenceUtilization", "name": "ComprehendInferenceUtilization" }, { "value": "LambdaProvisionedConcurrencyUtilization", "name": "LambdaProvisionedConcurrencyUtilization" }, { "value": "CassandraReadCapacityUtilization", "name": "CassandraReadCapacityUtilization" }, { "value": "CassandraWriteCapacityUtilization", "name": "CassandraWriteCapacityUtilization" }, { "value": "KafkaBrokerStorageUtilization", "name": "KafkaBrokerStorageUtilization" } ] } }, "com.amazonaws.applicationautoscaling#MetricUnit": { "type": "string" }, "com.amazonaws.applicationautoscaling#MinAdjustmentMagnitude": { "type": "integer", "traits": { "smithy.api#box": {} } }, "com.amazonaws.applicationautoscaling#ObjectNotFoundException": { "type": "structure", "members": { "Message": { "target": "com.amazonaws.applicationautoscaling#ErrorMessage" } }, "traits": { "smithy.api#documentation": "The specified object could not be found. For any operation that depends on the existence\n of a scalable target, this exception is thrown if the scalable target with the specified\n service namespace, resource ID, and scalable dimension does not exist. For any operation\n that deletes or deregisters a resource, this exception is thrown if the resource cannot be\n found.
", "smithy.api#error": "client", "smithy.api#httpError": 400 } }, "com.amazonaws.applicationautoscaling#PolicyName": { "type": "string", "traits": { "smithy.api#length": { "min": 1, "max": 256 }, "smithy.api#pattern": "\\p{Print}+" } }, "com.amazonaws.applicationautoscaling#PolicyType": { "type": "string", "traits": { "smithy.api#enum": [ { "value": "StepScaling", "name": "StepScaling" }, { "value": "TargetTrackingScaling", "name": "TargetTrackingScaling" } ] } }, "com.amazonaws.applicationautoscaling#PredefinedMetricSpecification": { "type": "structure", "members": { "PredefinedMetricType": { "target": "com.amazonaws.applicationautoscaling#MetricType", "traits": { "smithy.api#documentation": "The metric type. The ALBRequestCountPerTarget
metric type applies only to\n Spot Fleet requests and ECS services.
Identifies the resource associated with the metric type. You can't specify a resource\n label unless the metric type is ALBRequestCountPerTarget
and there is a target\n group attached to the Spot Fleet request or ECS service.
You create the resource label by appending the final portion of the load balancer ARN\n and the final portion of the target group ARN into a single value, separated by a forward\n slash (/). The format is\n app/
app/
targetgroup/
This is an example:\n app/EC2Co-EcsEl-1TKLTMITMM0EO/f37c06a68c1748aa/targetgroup/EC2Co-Defau-LDNM7Q3ZH1ZN/6d4ea56ca2d6a18d.
\nTo find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use\n the DescribeTargetGroups API operation.
" } } }, "traits": { "smithy.api#documentation": "Represents a predefined metric for a target tracking scaling policy to use with\n Application Auto Scaling.
\nOnly the AWS services that you're using send metrics to Amazon CloudWatch. To determine whether a\n desired metric already exists by looking up its namespace and dimension using the CloudWatch\n metrics dashboard in the console, follow the procedure in Building dashboards\n with CloudWatch in the Application Auto Scaling User Guide.
" } }, "com.amazonaws.applicationautoscaling#PutScalingPolicy": { "type": "operation", "input": { "target": "com.amazonaws.applicationautoscaling#PutScalingPolicyRequest" }, "output": { "target": "com.amazonaws.applicationautoscaling#PutScalingPolicyResponse" }, "errors": [ { "target": "com.amazonaws.applicationautoscaling#ConcurrentUpdateException" }, { "target": "com.amazonaws.applicationautoscaling#FailedResourceAccessException" }, { "target": "com.amazonaws.applicationautoscaling#InternalServiceException" }, { "target": "com.amazonaws.applicationautoscaling#LimitExceededException" }, { "target": "com.amazonaws.applicationautoscaling#ObjectNotFoundException" }, { "target": "com.amazonaws.applicationautoscaling#ValidationException" } ], "traits": { "smithy.api#documentation": "Creates or updates a scaling policy for an Application Auto Scaling scalable target.
\nEach scalable target is identified by a service namespace, resource ID, and scalable\n dimension. A scaling policy applies to the scalable target identified by those three\n attributes. You cannot create a scaling policy until you have registered the resource as a\n scalable target.
\nMultiple scaling policies can be in force at the same time for the same scalable target.\n You can have one or more target tracking scaling policies, one or more step scaling\n policies, or both. However, there is a chance that multiple policies could conflict,\n instructing the scalable target to scale out or in at the same time. Application Auto Scaling gives\n precedence to the policy that provides the largest capacity for both scale out and scale\n in. For example, if one policy increases capacity by 3, another policy increases capacity\n by 200 percent, and the current capacity is 10, Application Auto Scaling uses the policy with the highest\n calculated capacity (200% of 10 = 20) and scales out to 30.
\nWe recommend caution, however, when using target tracking scaling policies with step\n scaling policies because conflicts between these policies can cause undesirable behavior.\n For example, if the step scaling policy initiates a scale-in activity before the target\n tracking policy is ready to scale in, the scale-in activity will not be blocked. After the\n scale-in activity completes, the target tracking policy could instruct the scalable target\n to scale out again.
\nFor more information, see Target tracking scaling policies and Step scaling policies in the Application Auto Scaling User Guide.
\nIf a scalable target is deregistered, the scalable target is no longer available to\n execute scaling policies. Any scaling policies that were specified for the scalable\n target are deleted.
\nThe name of the scaling policy.
", "smithy.api#required": {} } }, "ServiceNamespace": { "target": "com.amazonaws.applicationautoscaling#ServiceNamespace", "traits": { "smithy.api#documentation": "The namespace of the AWS service that provides the resource. For a resource provided\n by your own application or service, use custom-resource
instead.
The identifier of the resource associated with the scaling policy.\n This string consists of the resource type and unique identifier.
\nECS service - The resource type is service
and the unique identifier is the cluster name \n and service name. Example: service/default/sample-webapp
.
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the \n 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.\n Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name.\n Example: fleet/sample-fleet
.
DynamoDB table - The resource type is table
and the unique identifier is the table name. \n Example: table/my-table
.
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. \n Example: table/my-table/index/my-table-index
.
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name.\n Example: cluster:my-db-cluster
.
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID.\n 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\n is available in our GitHub\n 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
. \n 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. \n Example: keyspace/mykeyspace/table/mytable
.
Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. \n Example: arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5
.
The scalable dimension. This string consists of the service namespace, resource type, and scaling property.
\n\n ecs:service:DesiredCount
- The desired task count of an ECS service.
\n ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
\n elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
\n appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
\n dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
\n dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
\n dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
\n dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
\n rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
\n sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
\n custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
\n comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
\n comprehend:entity-recognizer-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend entity recognizer endpoint.
\n lambda:function:ProvisionedConcurrency
- The provisioned concurrency for a Lambda function.
\n cassandra:table:ReadCapacityUnits
- The provisioned read capacity for an Amazon Keyspaces table.
\n cassandra:table:WriteCapacityUnits
- The provisioned write capacity for an Amazon Keyspaces table.
\n kafka:broker-storage:VolumeSize
- The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster.
The policy type. This parameter is required if you are creating a scaling policy.
\nThe following policy types are supported:
\n\n TargetTrackingScaling
—Not supported for Amazon EMR
\n StepScaling
—Not supported for DynamoDB, Amazon Comprehend, Lambda, Amazon Keyspaces (for\n Apache Cassandra), or Amazon MSK.
For more information, see Target\n tracking scaling policies and Step scaling policies in the Application Auto Scaling User Guide.
" } }, "StepScalingPolicyConfiguration": { "target": "com.amazonaws.applicationautoscaling#StepScalingPolicyConfiguration", "traits": { "smithy.api#documentation": "A step scaling policy.
\nThis parameter is required if you are creating a policy and the policy type is\n StepScaling
.
A target tracking scaling policy. Includes support for predefined or customized\n metrics.
\nThis parameter is required if you are creating a policy and the policy type is\n TargetTrackingScaling
.
The Amazon Resource Name (ARN) of the resulting scaling policy.
", "smithy.api#required": {} } }, "Alarms": { "target": "com.amazonaws.applicationautoscaling#Alarms", "traits": { "smithy.api#documentation": "The CloudWatch alarms created for the target tracking scaling policy.
" } } } }, "com.amazonaws.applicationautoscaling#PutScheduledAction": { "type": "operation", "input": { "target": "com.amazonaws.applicationautoscaling#PutScheduledActionRequest" }, "output": { "target": "com.amazonaws.applicationautoscaling#PutScheduledActionResponse" }, "errors": [ { "target": "com.amazonaws.applicationautoscaling#ConcurrentUpdateException" }, { "target": "com.amazonaws.applicationautoscaling#InternalServiceException" }, { "target": "com.amazonaws.applicationautoscaling#LimitExceededException" }, { "target": "com.amazonaws.applicationautoscaling#ObjectNotFoundException" }, { "target": "com.amazonaws.applicationautoscaling#ValidationException" } ], "traits": { "smithy.api#documentation": "Creates or updates a scheduled action for an Application Auto Scaling scalable target.
\nEach scalable target is identified by a service namespace, resource ID, and scalable\n dimension. A scheduled action applies to the scalable target identified by those three\n attributes. You cannot create a scheduled action until you have registered the resource as\n a scalable target.
\nWhen start and end times are specified with a recurring schedule using a cron expression\n or rates, they form the boundaries for when the recurring action starts and stops.
\nTo update a scheduled action, specify the parameters that you want to change. If you\n don't specify start and end times, the old values are deleted.
\nFor more information, see Scheduled scaling in the Application Auto Scaling User Guide.
\nIf a scalable target is deregistered, the scalable target is no longer available to\n run scheduled actions. Any scheduled actions that were specified for the scalable target\n are deleted.
\nThe namespace of the AWS service that provides the resource. For a resource provided\n by your own application or service, use custom-resource
instead.
The schedule for this action. The following formats are supported:
\nAt expressions - \"at(yyyy-mm-ddThh:mm:ss)
\"
Rate expressions - \"rate(value \n unit)
\"
Cron expressions - \"cron(fields)
\"
At expressions are useful for one-time schedules. Cron expressions are useful for \n scheduled actions that run periodically at a specified date and time, and rate expressions \n are useful for scheduled actions that run at a regular interval.
\nAt and cron expressions use Universal Coordinated Time (UTC) by\n default.
\nThe cron format consists of six fields separated by white spaces: [Minutes] [Hours] [Day_of_Month] [Month] [Day_of_Week] [Year].
\nFor rate expressions, value is a positive integer and unit is \n minute
| minutes
| hour
| hours
| day
| days
.
For more information and examples, see Example scheduled actions for Application Auto Scaling in the Application Auto Scaling User Guide.
" } }, "Timezone": { "target": "com.amazonaws.applicationautoscaling#ResourceIdMaxLen1600", "traits": { "smithy.api#documentation": "Specifies the time zone used when setting a scheduled action by using an at or cron\n expression. If a time zone is not provided, UTC is used by default.
\nValid values are the canonical names of the IANA time zones supported by Joda-Time (such\n as Etc/GMT+9
or Pacific/Tahiti
). For more information, see https://www.joda.org/joda-time/timezones.html.
The name of the scheduled action. This name must be unique among all other scheduled\n actions on the specified scalable target.
", "smithy.api#required": {} } }, "ResourceId": { "target": "com.amazonaws.applicationautoscaling#ResourceIdMaxLen1600", "traits": { "smithy.api#documentation": "The identifier of the resource associated with the scheduled action.\n This string consists of the resource type and unique identifier.
\nECS service - The resource type is service
and the unique identifier is the cluster name \n and service name. Example: service/default/sample-webapp
.
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the \n 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.\n Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name.\n Example: fleet/sample-fleet
.
DynamoDB table - The resource type is table
and the unique identifier is the table name. \n Example: table/my-table
.
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. \n Example: table/my-table/index/my-table-index
.
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name.\n Example: cluster:my-db-cluster
.
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID.\n 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\n is available in our GitHub\n 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
. \n 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. \n Example: keyspace/mykeyspace/table/mytable
.
Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. \n Example: arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5
.
The scalable dimension. This string consists of the service namespace, resource type, and scaling property.
\n\n ecs:service:DesiredCount
- The desired task count of an ECS service.
\n ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
\n elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
\n appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
\n dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
\n dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
\n dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
\n dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
\n rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
\n sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
\n custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
\n comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
\n comprehend:entity-recognizer-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend entity recognizer endpoint.
\n lambda:function:ProvisionedConcurrency
- The provisioned concurrency for a Lambda function.
\n cassandra:table:ReadCapacityUnits
- The provisioned read capacity for an Amazon Keyspaces table.
\n cassandra:table:WriteCapacityUnits
- The provisioned write capacity for an Amazon Keyspaces table.
\n kafka:broker-storage:VolumeSize
- The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster.
The date and time for this scheduled action to start, in UTC.
" } }, "EndTime": { "target": "com.amazonaws.applicationautoscaling#TimestampType", "traits": { "smithy.api#documentation": "The date and time for the recurring schedule to end, in UTC.
" } }, "ScalableTargetAction": { "target": "com.amazonaws.applicationautoscaling#ScalableTargetAction", "traits": { "smithy.api#documentation": "The new minimum and maximum capacity. You can set both values or just one. At the\n scheduled time, if the current capacity is below the minimum capacity, Application Auto Scaling scales out\n to the minimum capacity. If the current capacity is above the maximum capacity, Application Auto Scaling\n scales in to the maximum capacity.
" } } } }, "com.amazonaws.applicationautoscaling#PutScheduledActionResponse": { "type": "structure", "members": {} }, "com.amazonaws.applicationautoscaling#RegisterScalableTarget": { "type": "operation", "input": { "target": "com.amazonaws.applicationautoscaling#RegisterScalableTargetRequest" }, "output": { "target": "com.amazonaws.applicationautoscaling#RegisterScalableTargetResponse" }, "errors": [ { "target": "com.amazonaws.applicationautoscaling#ConcurrentUpdateException" }, { "target": "com.amazonaws.applicationautoscaling#InternalServiceException" }, { "target": "com.amazonaws.applicationautoscaling#LimitExceededException" }, { "target": "com.amazonaws.applicationautoscaling#ValidationException" } ], "traits": { "smithy.api#documentation": "Registers or updates a scalable target.
\nA scalable target is a resource that Application Auto Scaling can scale out and scale in. Scalable\n targets are uniquely identified by the combination of resource ID, scalable dimension, and\n namespace.
\nWhen you register a new scalable target, you must specify values for minimum and maximum\n capacity. Current capacity will be adjusted within the specified range when scaling starts.\n Application Auto Scaling scaling policies will not scale capacity to values that are outside of this\n range.
\nAfter you register a scalable target, you do not need to register it again to use other\n Application Auto Scaling operations. To see which resources have been registered, use DescribeScalableTargets. You can also view the scaling policies for a service\n namespace by using DescribeScalableTargets. If you no longer need a scalable target, you can\n deregister it by using DeregisterScalableTarget.
\nTo update a scalable target, specify the parameters that you want to change. Include the\n parameters that identify the scalable target: resource ID, scalable dimension, and\n namespace. Any parameters that you don't specify are not changed by this update request.
" } }, "com.amazonaws.applicationautoscaling#RegisterScalableTargetRequest": { "type": "structure", "members": { "ServiceNamespace": { "target": "com.amazonaws.applicationautoscaling#ServiceNamespace", "traits": { "smithy.api#documentation": "The namespace of the AWS service that provides the resource. For a resource provided\n by your own application or service, use custom-resource
instead.
The identifier of the resource that is associated with the scalable target.\n This string consists of the resource type and unique identifier.
\nECS service - The resource type is service
and the unique identifier is the cluster name \n and service name. Example: service/default/sample-webapp
.
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the \n 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.\n Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name.\n Example: fleet/sample-fleet
.
DynamoDB table - The resource type is table
and the unique identifier is the table name. \n Example: table/my-table
.
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. \n Example: table/my-table/index/my-table-index
.
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name.\n Example: cluster:my-db-cluster
.
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID.\n 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\n is available in our GitHub\n 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
. \n 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. \n Example: keyspace/mykeyspace/table/mytable
.
Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. \n Example: arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5
.
The scalable dimension associated with the scalable target.\n This string consists of the service namespace, resource type, and scaling property.
\n\n ecs:service:DesiredCount
- The desired task count of an ECS service.
\n ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
\n elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
\n appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
\n dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
\n dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
\n dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
\n dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
\n rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
\n sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
\n custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
\n comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
\n comprehend:entity-recognizer-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend entity recognizer endpoint.
\n lambda:function:ProvisionedConcurrency
- The provisioned concurrency for a Lambda function.
\n cassandra:table:ReadCapacityUnits
- The provisioned read capacity for an Amazon Keyspaces table.
\n cassandra:table:WriteCapacityUnits
- The provisioned write capacity for an Amazon Keyspaces table.
\n kafka:broker-storage:VolumeSize
- The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster.
The minimum value that you plan to scale in to. When a scaling policy is in effect,\n Application Auto Scaling can scale in (contract) as needed to the minimum capacity limit in response to\n changing demand. This property is required when registering a new scalable target.
\nFor certain resources, the minimum value allowed is 0. This includes Lambda provisioned\n concurrency, Spot Fleet, ECS services, Aurora DB clusters, EMR clusters, and custom resources.\n For all other resources, the minimum value allowed is 1.
" } }, "MaxCapacity": { "target": "com.amazonaws.applicationautoscaling#ResourceCapacity", "traits": { "smithy.api#documentation": "The maximum value that you plan to scale out to. When a scaling policy is in effect,\n Application Auto Scaling can scale out (expand) as needed to the maximum capacity limit in response to\n changing demand. This property is required when registering a new scalable target.
\nAlthough you can specify a large maximum capacity, note that service quotas may impose\n lower limits. Each service has its own default quotas for the maximum capacity of the\n resource. If you want to specify a higher limit, you can request an increase. For more\n information, consult the documentation for that service. For information about the default\n quotas for each service, see Service Endpoints and\n Quotas in the Amazon Web Services General Reference.
" } }, "RoleARN": { "target": "com.amazonaws.applicationautoscaling#ResourceIdMaxLen1600", "traits": { "smithy.api#documentation": "This parameter is required for services that do not support service-linked roles (such as\n Amazon EMR), and it must specify the ARN of an IAM role that allows Application Auto Scaling to modify the scalable\n target on your behalf.
\nIf the service supports service-linked roles, Application Auto Scaling uses a service-linked role, which\n it creates if it does not yet exist. For more information, see Application Auto Scaling IAM roles.
" } }, "SuspendedState": { "target": "com.amazonaws.applicationautoscaling#SuspendedState", "traits": { "smithy.api#documentation": "An embedded object that contains attributes and attribute values that are used to\n suspend and resume automatic scaling. Setting the value of an attribute to\n true
suspends the specified scaling activities. Setting it to\n false
(default) resumes the specified scaling activities.
\n Suspension Outcomes\n
\nFor DynamicScalingInSuspended
, while a suspension is in effect, all\n scale-in activities that are triggered by a scaling policy are suspended.
For DynamicScalingOutSuspended
, while a suspension is in effect, all\n scale-out activities that are triggered by a scaling policy are suspended.
For ScheduledScalingSuspended
, while a suspension is in effect, all\n scaling activities that involve scheduled actions are suspended.
For more information, see Suspending and resuming scaling in the Application Auto Scaling User\n Guide.
" } } } }, "com.amazonaws.applicationautoscaling#RegisterScalableTargetResponse": { "type": "structure", "members": {} }, "com.amazonaws.applicationautoscaling#ResourceCapacity": { "type": "integer", "traits": { "smithy.api#box": {} } }, "com.amazonaws.applicationautoscaling#ResourceId": { "type": "string", "traits": { "smithy.api#pattern": "[\\u0020-\\uD7FF\\uE000-\\uFFFD\\uD800\\uDC00-\\uDBFF\\uDFFF\\r\\n\\t]*" } }, "com.amazonaws.applicationautoscaling#ResourceIdMaxLen1600": { "type": "string", "traits": { "smithy.api#length": { "min": 1, "max": 1600 }, "smithy.api#pattern": "[\\u0020-\\uD7FF\\uE000-\\uFFFD\\uD800\\uDC00-\\uDBFF\\uDFFF\\r\\n\\t]*" } }, "com.amazonaws.applicationautoscaling#ResourceIdsMaxLen1600": { "type": "list", "member": { "target": "com.amazonaws.applicationautoscaling#ResourceIdMaxLen1600" }, "traits": { "smithy.api#length": { "min": 0, "max": 50 } } }, "com.amazonaws.applicationautoscaling#ResourceLabel": { "type": "string", "traits": { "smithy.api#length": { "min": 1, "max": 1023 } } }, "com.amazonaws.applicationautoscaling#ScalableDimension": { "type": "string", "traits": { "smithy.api#enum": [ { "value": "ecs:service:DesiredCount", "name": "ECSServiceDesiredCount" }, { "value": "ec2:spot-fleet-request:TargetCapacity", "name": "EC2SpotFleetRequestTargetCapacity" }, { "value": "elasticmapreduce:instancegroup:InstanceCount", "name": "EMRInstanceGroupInstanceCount" }, { "value": "appstream:fleet:DesiredCapacity", "name": "AppstreamFleetDesiredCapacity" }, { "value": "dynamodb:table:ReadCapacityUnits", "name": "DynamoDBTableReadCapacityUnits" }, { "value": "dynamodb:table:WriteCapacityUnits", "name": "DynamoDBTableWriteCapacityUnits" }, { "value": "dynamodb:index:ReadCapacityUnits", "name": "DynamoDBIndexReadCapacityUnits" }, { "value": "dynamodb:index:WriteCapacityUnits", "name": "DynamoDBIndexWriteCapacityUnits" }, { "value": "rds:cluster:ReadReplicaCount", "name": "RDSClusterReadReplicaCount" }, { "value": "sagemaker:variant:DesiredInstanceCount", "name": "SageMakerVariantDesiredInstanceCount" }, { "value": "custom-resource:ResourceType:Property", "name": "CustomResourceScalableDimension" }, { "value": "comprehend:document-classifier-endpoint:DesiredInferenceUnits", "name": "ComprehendDocClassifierEndpointInferenceUnits" }, { "value": "comprehend:entity-recognizer-endpoint:DesiredInferenceUnits", "name": "ComprehendEntityRecognizerEndpointInferenceUnits" }, { "value": "lambda:function:ProvisionedConcurrency", "name": "LambdaFunctionProvisionedConcurrency" }, { "value": "cassandra:table:ReadCapacityUnits", "name": "CassandraTableReadCapacityUnits" }, { "value": "cassandra:table:WriteCapacityUnits", "name": "CassandraTableWriteCapacityUnits" }, { "value": "kafka:broker-storage:VolumeSize", "name": "KafkaBrokerStorageVolumeSize" } ] } }, "com.amazonaws.applicationautoscaling#ScalableTarget": { "type": "structure", "members": { "ServiceNamespace": { "target": "com.amazonaws.applicationautoscaling#ServiceNamespace", "traits": { "smithy.api#documentation": "The namespace of the AWS service that provides the resource, or a\n custom-resource
.
The identifier of the resource associated with the scalable target.\n This string consists of the resource type and unique identifier.
\nECS service - The resource type is service
and the unique identifier is the cluster name \n and service name. Example: service/default/sample-webapp
.
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the \n 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.\n Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name.\n Example: fleet/sample-fleet
.
DynamoDB table - The resource type is table
and the unique identifier is the table name. \n Example: table/my-table
.
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. \n Example: table/my-table/index/my-table-index
.
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name.\n Example: cluster:my-db-cluster
.
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID.\n 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\n is available in our GitHub\n 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
. \n 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. \n Example: keyspace/mykeyspace/table/mytable
.
Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. \n Example: arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5
.
The scalable dimension associated with the scalable target.\n This string consists of the service namespace, resource type, and scaling property.
\n\n ecs:service:DesiredCount
- The desired task count of an ECS service.
\n ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
\n elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
\n appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
\n dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
\n dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
\n dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
\n dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
\n rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
\n sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
\n custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
\n comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
\n comprehend:entity-recognizer-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend entity recognizer endpoint.
\n lambda:function:ProvisionedConcurrency
- The provisioned concurrency for a Lambda function.
\n cassandra:table:ReadCapacityUnits
- The provisioned read capacity for an Amazon Keyspaces table.
\n cassandra:table:WriteCapacityUnits
- The provisioned write capacity for an Amazon Keyspaces table.
\n kafka:broker-storage:VolumeSize
- The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster.
The minimum value to scale to in response to a scale-in activity.
", "smithy.api#required": {} } }, "MaxCapacity": { "target": "com.amazonaws.applicationautoscaling#ResourceCapacity", "traits": { "smithy.api#documentation": "The maximum value to scale to in response to a scale-out activity.
", "smithy.api#required": {} } }, "RoleARN": { "target": "com.amazonaws.applicationautoscaling#ResourceIdMaxLen1600", "traits": { "smithy.api#documentation": "The ARN of an IAM role that allows Application Auto Scaling to modify the scalable target on your\n behalf.
", "smithy.api#required": {} } }, "CreationTime": { "target": "com.amazonaws.applicationautoscaling#TimestampType", "traits": { "smithy.api#documentation": "The Unix timestamp for when the scalable target was created.
", "smithy.api#required": {} } }, "SuspendedState": { "target": "com.amazonaws.applicationautoscaling#SuspendedState" } }, "traits": { "smithy.api#documentation": "Represents a scalable target.
" } }, "com.amazonaws.applicationautoscaling#ScalableTargetAction": { "type": "structure", "members": { "MinCapacity": { "target": "com.amazonaws.applicationautoscaling#ResourceCapacity", "traits": { "smithy.api#documentation": "The minimum capacity.
\nFor certain resources, the minimum value allowed is 0. This includes Lambda provisioned\n concurrency, Spot Fleet, ECS services, Aurora DB clusters, EMR clusters, and custom resources.\n For all other resources, the minimum value allowed is 1.
" } }, "MaxCapacity": { "target": "com.amazonaws.applicationautoscaling#ResourceCapacity", "traits": { "smithy.api#documentation": "The maximum capacity.
\nAlthough you can specify a large maximum capacity, note that service quotas may impose\n lower limits. Each service has its own default quotas for the maximum capacity of the\n resource. If you want to specify a higher limit, you can request an increase. For more\n information, consult the documentation for that service. For information about the default\n quotas for each service, see Service Endpoints and\n Quotas in the Amazon Web Services General Reference.
" } } }, "traits": { "smithy.api#documentation": "Represents the minimum and maximum capacity for a scheduled action.
" } }, "com.amazonaws.applicationautoscaling#ScalableTargets": { "type": "list", "member": { "target": "com.amazonaws.applicationautoscaling#ScalableTarget" } }, "com.amazonaws.applicationautoscaling#ScalingActivities": { "type": "list", "member": { "target": "com.amazonaws.applicationautoscaling#ScalingActivity" } }, "com.amazonaws.applicationautoscaling#ScalingActivity": { "type": "structure", "members": { "ActivityId": { "target": "com.amazonaws.applicationautoscaling#ResourceId", "traits": { "smithy.api#documentation": "The unique identifier of the scaling activity.
", "smithy.api#required": {} } }, "ServiceNamespace": { "target": "com.amazonaws.applicationautoscaling#ServiceNamespace", "traits": { "smithy.api#documentation": "The namespace of the AWS service that provides the resource, or a\n custom-resource
.
The identifier of the resource associated with the scaling activity.\n This string consists of the resource type and unique identifier.
\nECS service - The resource type is service
and the unique identifier is the cluster name \n and service name. Example: service/default/sample-webapp
.
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the \n 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.\n Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name.\n Example: fleet/sample-fleet
.
DynamoDB table - The resource type is table
and the unique identifier is the table name. \n Example: table/my-table
.
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. \n Example: table/my-table/index/my-table-index
.
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name.\n Example: cluster:my-db-cluster
.
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID.\n 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\n is available in our GitHub\n 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
. \n 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. \n Example: keyspace/mykeyspace/table/mytable
.
Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. \n Example: arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5
.
The scalable dimension. This string consists of the service namespace, resource type, and scaling property.
\n\n ecs:service:DesiredCount
- The desired task count of an ECS service.
\n ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
\n elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
\n appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
\n dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
\n dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
\n dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
\n dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
\n rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
\n sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
\n custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
\n comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
\n comprehend:entity-recognizer-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend entity recognizer endpoint.
\n lambda:function:ProvisionedConcurrency
- The provisioned concurrency for a Lambda function.
\n cassandra:table:ReadCapacityUnits
- The provisioned read capacity for an Amazon Keyspaces table.
\n cassandra:table:WriteCapacityUnits
- The provisioned write capacity for an Amazon Keyspaces table.
\n kafka:broker-storage:VolumeSize
- The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster.
A simple description of what action the scaling activity intends to accomplish.
", "smithy.api#required": {} } }, "Cause": { "target": "com.amazonaws.applicationautoscaling#XmlString", "traits": { "smithy.api#documentation": "A simple description of what caused the scaling activity to happen.
", "smithy.api#required": {} } }, "StartTime": { "target": "com.amazonaws.applicationautoscaling#TimestampType", "traits": { "smithy.api#documentation": "The Unix timestamp for when the scaling activity began.
", "smithy.api#required": {} } }, "EndTime": { "target": "com.amazonaws.applicationautoscaling#TimestampType", "traits": { "smithy.api#documentation": "The Unix timestamp for when the scaling activity ended.
" } }, "StatusCode": { "target": "com.amazonaws.applicationautoscaling#ScalingActivityStatusCode", "traits": { "smithy.api#documentation": "Indicates the status of the scaling activity.
", "smithy.api#required": {} } }, "StatusMessage": { "target": "com.amazonaws.applicationautoscaling#XmlString", "traits": { "smithy.api#documentation": "A simple message about the current status of the scaling activity.
" } }, "Details": { "target": "com.amazonaws.applicationautoscaling#XmlString", "traits": { "smithy.api#documentation": "The details about the scaling activity.
" } } }, "traits": { "smithy.api#documentation": "Represents a scaling activity.
" } }, "com.amazonaws.applicationautoscaling#ScalingActivityStatusCode": { "type": "string", "traits": { "smithy.api#enum": [ { "value": "Pending", "name": "Pending" }, { "value": "InProgress", "name": "InProgress" }, { "value": "Successful", "name": "Successful" }, { "value": "Overridden", "name": "Overridden" }, { "value": "Unfulfilled", "name": "Unfulfilled" }, { "value": "Failed", "name": "Failed" } ] } }, "com.amazonaws.applicationautoscaling#ScalingAdjustment": { "type": "integer", "traits": { "smithy.api#box": {} } }, "com.amazonaws.applicationautoscaling#ScalingPolicies": { "type": "list", "member": { "target": "com.amazonaws.applicationautoscaling#ScalingPolicy" } }, "com.amazonaws.applicationautoscaling#ScalingPolicy": { "type": "structure", "members": { "PolicyARN": { "target": "com.amazonaws.applicationautoscaling#ResourceIdMaxLen1600", "traits": { "smithy.api#documentation": "The Amazon Resource Name (ARN) of the scaling policy.
", "smithy.api#required": {} } }, "PolicyName": { "target": "com.amazonaws.applicationautoscaling#PolicyName", "traits": { "smithy.api#documentation": "The name of the scaling policy.
", "smithy.api#required": {} } }, "ServiceNamespace": { "target": "com.amazonaws.applicationautoscaling#ServiceNamespace", "traits": { "smithy.api#documentation": "The namespace of the AWS service that provides the resource, or a\n custom-resource
.
The identifier of the resource associated with the scaling policy.\n This string consists of the resource type and unique identifier.
\nECS service - The resource type is service
and the unique identifier is the cluster name \n and service name. Example: service/default/sample-webapp
.
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the \n 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.\n Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name.\n Example: fleet/sample-fleet
.
DynamoDB table - The resource type is table
and the unique identifier is the table name. \n Example: table/my-table
.
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. \n Example: table/my-table/index/my-table-index
.
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name.\n Example: cluster:my-db-cluster
.
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID.\n 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\n is available in our GitHub\n 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
. \n 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. \n Example: keyspace/mykeyspace/table/mytable
.
Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. \n Example: arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5
.
The scalable dimension. This string consists of the service namespace, resource type, and scaling property.
\n\n ecs:service:DesiredCount
- The desired task count of an ECS service.
\n ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
\n elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
\n appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
\n dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
\n dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
\n dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
\n dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
\n rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
\n sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
\n custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
\n comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
\n comprehend:entity-recognizer-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend entity recognizer endpoint.
\n lambda:function:ProvisionedConcurrency
- The provisioned concurrency for a Lambda function.
\n cassandra:table:ReadCapacityUnits
- The provisioned read capacity for an Amazon Keyspaces table.
\n cassandra:table:WriteCapacityUnits
- The provisioned write capacity for an Amazon Keyspaces table.
\n kafka:broker-storage:VolumeSize
- The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster.
The scaling policy type.
", "smithy.api#required": {} } }, "StepScalingPolicyConfiguration": { "target": "com.amazonaws.applicationautoscaling#StepScalingPolicyConfiguration", "traits": { "smithy.api#documentation": "A step scaling policy.
" } }, "TargetTrackingScalingPolicyConfiguration": { "target": "com.amazonaws.applicationautoscaling#TargetTrackingScalingPolicyConfiguration", "traits": { "smithy.api#documentation": "A target tracking scaling policy.
" } }, "Alarms": { "target": "com.amazonaws.applicationautoscaling#Alarms", "traits": { "smithy.api#documentation": "The CloudWatch alarms associated with the scaling policy.
" } }, "CreationTime": { "target": "com.amazonaws.applicationautoscaling#TimestampType", "traits": { "smithy.api#documentation": "The Unix timestamp for when the scaling policy was created.
", "smithy.api#required": {} } } }, "traits": { "smithy.api#documentation": "Represents a scaling policy to use with Application Auto Scaling.
\nFor more information about configuring scaling policies for a specific service, see\n Getting started with Application Auto Scaling in the\n Application Auto Scaling User Guide.
" } }, "com.amazonaws.applicationautoscaling#ScalingSuspended": { "type": "boolean", "traits": { "smithy.api#box": {} } }, "com.amazonaws.applicationautoscaling#ScheduledAction": { "type": "structure", "members": { "ScheduledActionName": { "target": "com.amazonaws.applicationautoscaling#ScheduledActionName", "traits": { "smithy.api#documentation": "The name of the scheduled action.
", "smithy.api#required": {} } }, "ScheduledActionARN": { "target": "com.amazonaws.applicationautoscaling#ResourceIdMaxLen1600", "traits": { "smithy.api#documentation": "The Amazon Resource Name (ARN) of the scheduled action.
", "smithy.api#required": {} } }, "ServiceNamespace": { "target": "com.amazonaws.applicationautoscaling#ServiceNamespace", "traits": { "smithy.api#documentation": "The namespace of the AWS service that provides the resource, or a\n custom-resource
.
The schedule for this action. The following formats are supported:
\nAt expressions - \"at(yyyy-mm-ddThh:mm:ss)
\"
Rate expressions - \"rate(value \n unit)
\"
Cron expressions - \"cron(fields)
\"
At expressions are useful for one-time schedules. Cron expressions are useful for \n scheduled actions that run periodically at a specified date and time, and rate expressions \n are useful for scheduled actions that run at a regular interval.
\nAt and cron expressions use Universal Coordinated Time (UTC) by\n default.
\nThe cron format consists of six fields separated by white spaces: [Minutes] [Hours] [Day_of_Month] [Month] [Day_of_Week] [Year].
\nFor rate expressions, value is a positive integer and unit is \n minute
| minutes
| hour
| hours
| day
| days
.
For more information and examples, see Example scheduled actions for Application Auto Scaling in the Application Auto Scaling User Guide.
", "smithy.api#required": {} } }, "Timezone": { "target": "com.amazonaws.applicationautoscaling#ResourceIdMaxLen1600", "traits": { "smithy.api#documentation": "The time zone used when referring to the date and time of a scheduled action, when the\n scheduled action uses an at or cron expression.
" } }, "ResourceId": { "target": "com.amazonaws.applicationautoscaling#ResourceIdMaxLen1600", "traits": { "smithy.api#documentation": "The identifier of the resource associated with the scaling policy.\n This string consists of the resource type and unique identifier.
\nECS service - The resource type is service
and the unique identifier is the cluster name \n and service name. Example: service/default/sample-webapp
.
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the \n 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.\n Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name.\n Example: fleet/sample-fleet
.
DynamoDB table - The resource type is table
and the unique identifier is the table name. \n Example: table/my-table
.
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. \n Example: table/my-table/index/my-table-index
.
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name.\n Example: cluster:my-db-cluster
.
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID.\n 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\n is available in our GitHub\n 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
. \n 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. \n Example: keyspace/mykeyspace/table/mytable
.
Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. \n Example: arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5
.
The scalable dimension. This string consists of the service namespace, resource type, and scaling property.
\n\n ecs:service:DesiredCount
- The desired task count of an ECS service.
\n ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
\n elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
\n appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
\n dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
\n dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
\n dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
\n dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
\n rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
\n sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
\n custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
\n comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
\n comprehend:entity-recognizer-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend entity recognizer endpoint.
\n lambda:function:ProvisionedConcurrency
- The provisioned concurrency for a Lambda function.
\n cassandra:table:ReadCapacityUnits
- The provisioned read capacity for an Amazon Keyspaces table.
\n cassandra:table:WriteCapacityUnits
- The provisioned write capacity for an Amazon Keyspaces table.
\n kafka:broker-storage:VolumeSize
- The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster.
The date and time that the action is scheduled to begin, in UTC.
" } }, "EndTime": { "target": "com.amazonaws.applicationautoscaling#TimestampType", "traits": { "smithy.api#documentation": "The date and time that the action is scheduled to end, in UTC.
" } }, "ScalableTargetAction": { "target": "com.amazonaws.applicationautoscaling#ScalableTargetAction", "traits": { "smithy.api#documentation": "The new minimum and maximum capacity. You can set both values or just one. At the\n scheduled time, if the current capacity is below the minimum capacity, Application Auto Scaling scales out\n to the minimum capacity. If the current capacity is above the maximum capacity, Application Auto Scaling\n scales in to the maximum capacity.
" } }, "CreationTime": { "target": "com.amazonaws.applicationautoscaling#TimestampType", "traits": { "smithy.api#documentation": "The date and time that the scheduled action was created.
", "smithy.api#required": {} } } }, "traits": { "smithy.api#documentation": "Represents a scheduled action.
" } }, "com.amazonaws.applicationautoscaling#ScheduledActionName": { "type": "string", "traits": { "smithy.api#length": { "min": 1, "max": 256 }, "smithy.api#pattern": "(?!((^[ ]+.*)|(.*([\\u0000-\\u001f]|[\\u007f-\\u009f]|[:/|])+.*)|(.*[ ]+$))).+" } }, "com.amazonaws.applicationautoscaling#ScheduledActions": { "type": "list", "member": { "target": "com.amazonaws.applicationautoscaling#ScheduledAction" } }, "com.amazonaws.applicationautoscaling#ServiceNamespace": { "type": "string", "traits": { "smithy.api#enum": [ { "value": "ecs", "name": "ECS" }, { "value": "elasticmapreduce", "name": "EMR" }, { "value": "ec2", "name": "EC2" }, { "value": "appstream", "name": "APPSTREAM" }, { "value": "dynamodb", "name": "DYNAMODB" }, { "value": "rds", "name": "RDS" }, { "value": "sagemaker", "name": "SAGEMAKER" }, { "value": "custom-resource", "name": "CUSTOM_RESOURCE" }, { "value": "comprehend", "name": "COMPREHEND" }, { "value": "lambda", "name": "LAMBDA" }, { "value": "cassandra", "name": "CASSANDRA" }, { "value": "kafka", "name": "KAFKA" } ] } }, "com.amazonaws.applicationautoscaling#StepAdjustment": { "type": "structure", "members": { "MetricIntervalLowerBound": { "target": "com.amazonaws.applicationautoscaling#MetricScale", "traits": { "smithy.api#documentation": "The lower bound for the difference between the alarm threshold and the CloudWatch metric. If\n the metric value is above the breach threshold, the lower bound is inclusive (the metric\n must be greater than or equal to the threshold plus the lower bound). Otherwise, it is\n exclusive (the metric must be greater than the threshold plus the lower bound). A null\n value indicates negative infinity.
" } }, "MetricIntervalUpperBound": { "target": "com.amazonaws.applicationautoscaling#MetricScale", "traits": { "smithy.api#documentation": "The upper bound for the difference between the alarm threshold and the CloudWatch metric. If\n the metric value is above the breach threshold, the upper bound is exclusive (the metric\n must be less than the threshold plus the upper bound). Otherwise, it is inclusive (the\n metric must be less than or equal to the threshold plus the upper bound). A null value\n indicates positive infinity.
\nThe upper bound must be greater than the lower bound.
" } }, "ScalingAdjustment": { "target": "com.amazonaws.applicationautoscaling#ScalingAdjustment", "traits": { "smithy.api#documentation": "The amount by which to scale, based on the specified adjustment type. A positive value\n adds to the current capacity while a negative number removes from the current capacity. For\n exact capacity, you must specify a positive value.
", "smithy.api#required": {} } } }, "traits": { "smithy.api#documentation": "Represents a step adjustment for a StepScalingPolicyConfiguration. Describes an adjustment based on the difference\n between the value of the aggregated CloudWatch metric and the breach threshold that you've\n defined for the alarm.
\nFor the following examples, suppose that you have an alarm with a breach threshold of\n 50:
\nTo trigger the adjustment when the metric is greater than or equal to 50 and less\n than 60, specify a lower bound of 0 and an upper bound of 10.
\nTo trigger the adjustment when the metric is greater than 40 and less than or\n equal to 50, specify a lower bound of -10 and an upper bound of 0.
\nThere are a few rules for the step adjustments for your step policy:
\nThe ranges of your step adjustments can't overlap or have a gap.
\nAt most one step adjustment can have a null lower bound. If one step adjustment\n has a negative lower bound, then there must be a step adjustment with a null lower\n bound.
\nAt most one step adjustment can have a null upper bound. If one step adjustment\n has a positive upper bound, then there must be a step adjustment with a null upper\n bound.
\nThe upper and lower bound can't be null in the same step adjustment.
\nSpecifies how the ScalingAdjustment
value in a StepAdjustment is interpreted (for example, an absolute number or a\n percentage). The valid values are ChangeInCapacity
,\n ExactCapacity
, and PercentChangeInCapacity
.
\n AdjustmentType
is required if you are adding a new step scaling policy\n configuration.
A set of adjustments that enable you to scale based on the size of the alarm\n breach.
\nAt least one step adjustment is required if you are adding a new step scaling policy\n configuration.
" } }, "MinAdjustmentMagnitude": { "target": "com.amazonaws.applicationautoscaling#MinAdjustmentMagnitude", "traits": { "smithy.api#documentation": "The minimum value to scale by when the adjustment type is\n PercentChangeInCapacity
. For example, suppose that you create a step\n scaling policy to scale out an Amazon ECS service by 25 percent and you specify a\n MinAdjustmentMagnitude
of 2. If the service has 4 tasks and the scaling\n policy is performed, 25 percent of 4 is 1. However, because you specified a\n MinAdjustmentMagnitude
of 2, Application Auto Scaling scales out the service by 2\n tasks.
The amount of time, in seconds, to wait for a previous scaling activity to take effect.
\nWith scale-out policies, the intention is to continuously (but not excessively) scale out.\n After Application Auto Scaling successfully scales out using a step scaling policy, it starts to calculate the\n cooldown time. The scaling policy won't increase the desired capacity again unless either a\n larger scale out is triggered or the cooldown period ends. While the cooldown period is in\n effect, capacity added by the initiating scale-out activity is calculated as part of the\n desired capacity for the next scale-out activity. For example, when an alarm triggers a step\n scaling policy to increase the capacity by 2, the scaling activity completes successfully, and\n a cooldown period starts. If the alarm triggers again during the cooldown period but at a more\n aggressive step adjustment of 3, the previous increase of 2 is considered part of the current\n capacity. Therefore, only 1 is added to the capacity.
\nWith scale-in policies, the intention is to scale in conservatively to protect your\n application’s availability, so scale-in activities are blocked until the cooldown period has\n expired. However, if another alarm triggers a scale-out activity during the cooldown period\n after a scale-in activity, Application Auto Scaling scales out the target immediately. In this case, the\n cooldown period for the scale-in activity stops and doesn't complete.
\nApplication Auto Scaling provides a default value of 300 for the following scalable targets:
\nECS services
\nSpot Fleet requests
\nEMR clusters
\nAppStream 2.0 fleets
\nAurora DB clusters
\nAmazon SageMaker endpoint variants
\nCustom resources
\nFor all other scalable targets, the default value is 0:
\nDynamoDB tables
\nDynamoDB global secondary indexes
\nAmazon Comprehend document classification and entity recognizer endpoints
\nLambda provisioned concurrency
\nAmazon Keyspaces tables
\nAmazon MSK broker storage
\nThe aggregation type for the CloudWatch metrics. Valid values are Minimum
,\n Maximum
, and Average
. If the aggregation type is null, the\n value is treated as Average
.
Represents a step scaling policy configuration to use with Application Auto Scaling.
" } }, "com.amazonaws.applicationautoscaling#SuspendedState": { "type": "structure", "members": { "DynamicScalingInSuspended": { "target": "com.amazonaws.applicationautoscaling#ScalingSuspended", "traits": { "smithy.api#documentation": "Whether scale in by a target tracking scaling policy or a step scaling policy is\n suspended. Set the value to true
if you don't want Application Auto Scaling to remove capacity\n when a scaling policy is triggered. The default is false
.
Whether scale out by a target tracking scaling policy or a step scaling policy is\n suspended. Set the value to true
if you don't want Application Auto Scaling to add capacity\n when a scaling policy is triggered. The default is false
.
Whether scheduled scaling is suspended. Set the value to true
if you don't\n want Application Auto Scaling to add or remove capacity by initiating scheduled actions. The default is\n false
.
Specifies whether the scaling activities for a scalable target are in a suspended state.\n
" } }, "com.amazonaws.applicationautoscaling#TargetTrackingScalingPolicyConfiguration": { "type": "structure", "members": { "TargetValue": { "target": "com.amazonaws.applicationautoscaling#MetricScale", "traits": { "smithy.api#documentation": "The target value for the metric. Although this property accepts numbers of type Double,\n it won't accept values that are either too small or too large. Values must be in the range\n of -2^360 to 2^360. The value must be a valid number based on the choice of metric. For\n example, if the metric is CPU utilization, then the target value is a percent value that\n represents how much of the CPU can be used before scaling out.
", "smithy.api#required": {} } }, "PredefinedMetricSpecification": { "target": "com.amazonaws.applicationautoscaling#PredefinedMetricSpecification", "traits": { "smithy.api#documentation": "A predefined metric. You can specify either a predefined metric or a customized\n metric.
" } }, "CustomizedMetricSpecification": { "target": "com.amazonaws.applicationautoscaling#CustomizedMetricSpecification", "traits": { "smithy.api#documentation": "A customized metric. You can specify either a predefined metric or a customized\n metric.
" } }, "ScaleOutCooldown": { "target": "com.amazonaws.applicationautoscaling#Cooldown", "traits": { "smithy.api#documentation": "The amount of time, in seconds, to wait for a previous scale-out activity to take\n effect.
\nWith the scale-out cooldown period, the intention is to continuously\n (but not excessively) scale out. After Application Auto Scaling successfully scales out using a target\n tracking scaling policy, it starts to calculate the cooldown time. The scaling policy won't\n increase the desired capacity again unless either a larger scale out is triggered or the\n cooldown period ends. While the cooldown period is in effect, the capacity added by the\n initiating scale-out activity is calculated as part of the desired capacity for the next\n scale-out activity.
\nApplication Auto Scaling provides a default value of 300 for the following scalable targets:
\nECS services
\nSpot Fleet requests
\nEMR clusters
\nAppStream 2.0 fleets
\nAurora DB clusters
\nAmazon SageMaker endpoint variants
\nCustom resources
\nFor all other scalable targets, the default value is 0:
\nDynamoDB tables
\nDynamoDB global secondary indexes
\nAmazon Comprehend document classification and entity recognizer endpoints
\nLambda provisioned concurrency
\nAmazon Keyspaces tables
\nAmazon MSK broker storage
\nThe amount of time, in seconds, after a scale-in activity completes before another\n scale-in activity can start.
\nWith the scale-in cooldown period, the intention is to scale in\n conservatively to protect your application’s availability, so scale-in activities are blocked\n until the cooldown period has expired. However, if another alarm triggers a scale-out activity\n during the scale-in cooldown period, Application Auto Scaling scales out the target immediately. In this case,\n the scale-in cooldown period stops and doesn't complete.
\nApplication Auto Scaling provides a default value of 300 for the following scalable targets:
\nECS services
\nSpot Fleet requests
\nEMR clusters
\nAppStream 2.0 fleets
\nAurora DB clusters
\nAmazon SageMaker endpoint variants
\nCustom resources
\nFor all other scalable targets, the default value is 0:
\nDynamoDB tables
\nDynamoDB global secondary indexes
\nAmazon Comprehend document classification and entity recognizer endpoints
\nLambda provisioned concurrency
\nAmazon Keyspaces tables
\nAmazon MSK broker storage
\nIndicates whether scale in by the target tracking scaling policy is disabled. If the\n value is true
, scale in is disabled and the target tracking scaling policy\n won't remove capacity from the scalable target. Otherwise, scale in is enabled and the\n target tracking scaling policy can remove capacity from the scalable target. The default\n value is false
.
Represents a target tracking scaling policy configuration to use with Application Auto Scaling.
" } }, "com.amazonaws.applicationautoscaling#TimestampType": { "type": "timestamp" }, "com.amazonaws.applicationautoscaling#ValidationException": { "type": "structure", "members": { "Message": { "target": "com.amazonaws.applicationautoscaling#ErrorMessage" } }, "traits": { "smithy.api#documentation": "An exception was thrown for a validation issue. Review the available parameters for the\n API request.
", "smithy.api#error": "client", "smithy.api#httpError": 400 } }, "com.amazonaws.applicationautoscaling#XmlString": { "type": "string", "traits": { "smithy.api#pattern": "[\\u0020-\\uD7FF\\uE000-\\uFFFD\\uD800\\uDC00-\\uDBFF\\uDFFF\\r\\n\\t]*" } } } }