Application Auto Scaling

delete_scaling_policy(policy_name, resource_id, scalable_dimension, service_namespace)
delete_scaling_policy(policy_name, resource_id, scalable_dimension, service_namespace, params::Dict{String,<:Any})

Deletes the specified scaling policy for an Application Auto Scaling scalable target. Deleting a step scaling policy deletes the underlying alarm action, but does not delete the CloudWatch alarm associated with the scaling policy, even if it no longer has an associated action. For more information, see Delete a step scaling policy and Delete a target tracking scaling policy in the Application Auto Scaling User Guide.

Arguments

• policy_name: The name of the scaling policy.
• resource_id: The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE. Amazon Comprehend entity recognizer endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE. Lambda provisioned concurrency - The resource type is function and the unique identifier is the function name with a function version or alias name suffix that is not LATEST. Example: function:my-function:prod or function:my-function:1. Amazon Keyspaces table - The resource type is table and the unique identifier is the table name. Example: keyspace/mykeyspace/table/mytable. Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. Example: arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c 2e31-5. Amazon ElastiCache replication group - The resource type is replication-group and the unique identifier is the replication group name. Example: replication-group/mycluster. Neptune cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:mycluster. SageMaker Serverless endpoint - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering.
• scalable_dimension: The scalable dimension. This string consists of the service namespace, resource type, and scaling property. ecs:service:DesiredCount - The desired task count of an ECS service. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for a SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint. comprehend:entity-recognizer-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend entity recognizer endpoint. lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function. cassandra:table:ReadCapacityUnits - The provisioned read capacity for an Amazon Keyspaces table. cassandra:table:WriteCapacityUnits - The provisioned write capacity for an Amazon Keyspaces table. kafka:broker-storage:VolumeSize - The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster. elasticache:replication-group:NodeGroups
  • The number of node groups for an Amazon ElastiCache replication group.
  elasticache:replication-group:Replicas - The number of replicas per node group for an Amazon ElastiCache replication group. neptune:cluster:ReadReplicaCount - The count of read replicas in an Amazon Neptune DB cluster. sagemaker:variant:DesiredProvisionedConcurrency - The provisioned concurrency for a SageMaker Serverless endpoint.
• service_namespace: The namespace of the Amazon Web Services service that provides the resource. For a resource provided by your own application or service, use custom-resource instead.

delete_scheduled_action(resource_id, scalable_dimension, scheduled_action_name, service_namespace)
delete_scheduled_action(resource_id, scalable_dimension, scheduled_action_name, service_namespace, params::Dict{String,<:Any})

Deletes the specified scheduled action for an Application Auto Scaling scalable target. For more information, see Delete a scheduled action in the Application Auto Scaling User Guide.

Arguments

• resource_id: The identifier of the resource associated with the scheduled action. This string consists of the resource type and unique identifier. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE. Amazon Comprehend entity recognizer endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE. Lambda provisioned concurrency - The resource type is function and the unique identifier is the function name with a function version or alias name suffix that is not LATEST. Example: function:my-function:prod or function:my-function:1. Amazon Keyspaces table - The resource type is table and the unique identifier is the table name. Example: keyspace/mykeyspace/table/mytable. Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. Example: arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c 2e31-5. Amazon ElastiCache replication group - The resource type is replication-group and the unique identifier is the replication group name. Example: replication-group/mycluster. Neptune cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:mycluster. SageMaker Serverless endpoint - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering.
• scalable_dimension: The scalable dimension. This string consists of the service namespace, resource type, and scaling property. ecs:service:DesiredCount - The desired task count of an ECS service. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for a SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint. comprehend:entity-recognizer-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend entity recognizer endpoint. lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function. cassandra:table:ReadCapacityUnits - The provisioned read capacity for an Amazon Keyspaces table. cassandra:table:WriteCapacityUnits - The provisioned write capacity for an Amazon Keyspaces table. kafka:broker-storage:VolumeSize - The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster. elasticache:replication-group:NodeGroups
  • The number of node groups for an Amazon ElastiCache replication group.
  elasticache:replication-group:Replicas - The number of replicas per node group for an Amazon ElastiCache replication group. neptune:cluster:ReadReplicaCount - The count of read replicas in an Amazon Neptune DB cluster. sagemaker:variant:DesiredProvisionedConcurrency - The provisioned concurrency for a SageMaker Serverless endpoint.
• scheduled_action_name: The name of the scheduled action.
• service_namespace: The namespace of the Amazon Web Services service that provides the resource. For a resource provided by your own application or service, use custom-resource instead.

deregister_scalable_target(resource_id, scalable_dimension, service_namespace)
deregister_scalable_target(resource_id, scalable_dimension, service_namespace, params::Dict{String,<:Any})

Deregisters an Application Auto Scaling scalable target when you have finished using it. To see which resources have been registered, use DescribeScalableTargets. Deregistering a scalable target deletes the scaling policies and the scheduled actions that are associated with it.

Arguments

• resource_id: The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE. Amazon Comprehend entity recognizer endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE. Lambda provisioned concurrency - The resource type is function and the unique identifier is the function name with a function version or alias name suffix that is not LATEST. Example: function:my-function:prod or function:my-function:1. Amazon Keyspaces table - The resource type is table and the unique identifier is the table name. Example: keyspace/mykeyspace/table/mytable. Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. Example: arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c 2e31-5. Amazon ElastiCache replication group - The resource type is replication-group and the unique identifier is the replication group name. Example: replication-group/mycluster. Neptune cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:mycluster. SageMaker Serverless endpoint - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering.
• scalable_dimension: The scalable dimension associated with the scalable target. This string consists of the service namespace, resource type, and scaling property. ecs:service:DesiredCount - The desired task count of an ECS service. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for a SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint. comprehend:entity-recognizer-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend entity recognizer endpoint. lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function. cassandra:table:ReadCapacityUnits - The provisioned read capacity for an Amazon Keyspaces table. cassandra:table:WriteCapacityUnits - The provisioned write capacity for an Amazon Keyspaces table. kafka:broker-storage:VolumeSize - The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster. elasticache:replication-group:NodeGroups
  • The number of node groups for an Amazon ElastiCache replication group.
  elasticache:replication-group:Replicas - The number of replicas per node group for an Amazon ElastiCache replication group. neptune:cluster:ReadReplicaCount - The count of read replicas in an Amazon Neptune DB cluster. sagemaker:variant:DesiredProvisionedConcurrency - The provisioned concurrency for a SageMaker Serverless endpoint.
• service_namespace: The namespace of the Amazon Web Services service that provides the resource. For a resource provided by your own application or service, use custom-resource instead.

describe_scalable_targets(service_namespace)
describe_scalable_targets(service_namespace, params::Dict{String,<:Any})

Gets information about the scalable targets in the specified namespace. You can filter the results using ResourceIds and ScalableDimension.

Arguments

• service_namespace: The namespace of the Amazon Web Services service that provides the resource. For a resource provided by your own application or service, use custom-resource instead.

Optional Parameters

Optional parameters can be passed as a params::Dict{String,<:Any}. Valid keys are:

• "MaxResults": The maximum number of scalable targets. This value can be between 1 and
  1. The default value is 50. If this parameter is used, the operation returns up to
  MaxResults results at a time, along with a NextToken value. To get the next set of results, include the NextToken value in a subsequent call. If this parameter is not used, the operation returns up to 50 results and a NextToken value, if applicable.
• "NextToken": The token for the next set of results.
• "ResourceIds": The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE. Amazon Comprehend entity recognizer endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE. Lambda provisioned concurrency - The resource type is function and the unique identifier is the function name with a function version or alias name suffix that is not LATEST. Example: function:my-function:prod or function:my-function:1. Amazon Keyspaces table - The resource type is table and the unique identifier is the table name. Example: keyspace/mykeyspace/table/mytable. Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. Example: arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c 2e31-5. Amazon ElastiCache replication group - The resource type is replication-group and the unique identifier is the replication group name. Example: replication-group/mycluster. Neptune cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:mycluster. SageMaker Serverless endpoint - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering.
• "ScalableDimension": The scalable dimension associated with the scalable target. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID. ecs:service:DesiredCount - The desired task count of an ECS service. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for a SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint. comprehend:entity-recognizer-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend entity recognizer endpoint. lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function. cassandra:table:ReadCapacityUnits - The provisioned read capacity for an Amazon Keyspaces table. cassandra:table:WriteCapacityUnits - The provisioned write capacity for an Amazon Keyspaces table. kafka:broker-storage:VolumeSize - The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster. elasticache:replication-group:NodeGroups
  • The number of node groups for an Amazon ElastiCache replication group.
  elasticache:replication-group:Replicas - The number of replicas per node group for an Amazon ElastiCache replication group. neptune:cluster:ReadReplicaCount - The count of read replicas in an Amazon Neptune DB cluster. sagemaker:variant:DesiredProvisionedConcurrency - The provisioned concurrency for a SageMaker Serverless endpoint.

describe_scaling_activities(service_namespace)
describe_scaling_activities(service_namespace, params::Dict{String,<:Any})

Provides descriptive information about the scaling activities in the specified namespace from the previous six weeks. You can filter the results using ResourceId and ScalableDimension. For information about viewing scaling activities using the Amazon Web Services CLI, see Scaling activities for Application Auto Scaling.

Arguments

• service_namespace: The namespace of the Amazon Web Services service that provides the resource. For a resource provided by your own application or service, use custom-resource instead.

Optional Parameters

Optional parameters can be passed as a params::Dict{String,<:Any}. Valid keys are:

• "IncludeNotScaledActivities": Specifies whether to include activities that aren't scaled (not scaled activities) in the response. Not scaled activities are activities that aren't completed or started for various reasons, such as preventing infinite scaling loops. For help interpreting the not scaled reason details in the response, see Scaling activities for Application Auto Scaling.
• "MaxResults": The maximum number of scalable targets. This value can be between 1 and
  1. The default value is 50. If this parameter is used, the operation returns up to
  MaxResults results at a time, along with a NextToken value. To get the next set of results, include the NextToken value in a subsequent call. If this parameter is not used, the operation returns up to 50 results and a NextToken value, if applicable.
• "NextToken": The token for the next set of results.
• "ResourceId": The identifier of the resource associated with the scaling activity. This string consists of the resource type and unique identifier. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE. Amazon Comprehend entity recognizer endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE. Lambda provisioned concurrency - The resource type is function and the unique identifier is the function name with a function version or alias name suffix that is not LATEST. Example: function:my-function:prod or function:my-function:1. Amazon Keyspaces table - The resource type is table and the unique identifier is the table name. Example: keyspace/mykeyspace/table/mytable. Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. Example: arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c 2e31-5. Amazon ElastiCache replication group - The resource type is replication-group and the unique identifier is the replication group name. Example: replication-group/mycluster. Neptune cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:mycluster. SageMaker Serverless endpoint - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering.
• "ScalableDimension": The scalable dimension. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID. ecs:service:DesiredCount - The desired task count of an ECS service. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for a SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint. comprehend:entity-recognizer-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend entity recognizer endpoint. lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function. cassandra:table:ReadCapacityUnits - The provisioned read capacity for an Amazon Keyspaces table. cassandra:table:WriteCapacityUnits - The provisioned write capacity for an Amazon Keyspaces table. kafka:broker-storage:VolumeSize - The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster. elasticache:replication-group:NodeGroups
  • The number of node groups for an Amazon ElastiCache replication group.
  elasticache:replication-group:Replicas - The number of replicas per node group for an Amazon ElastiCache replication group. neptune:cluster:ReadReplicaCount - The count of read replicas in an Amazon Neptune DB cluster. sagemaker:variant:DesiredProvisionedConcurrency - The provisioned concurrency for a SageMaker Serverless endpoint.

describe_scaling_policies(service_namespace)
describe_scaling_policies(service_namespace, params::Dict{String,<:Any})

Describes the Application Auto Scaling scaling policies for the specified service namespace. You can filter the results using ResourceId, ScalableDimension, and PolicyNames. For more information, see Target tracking scaling policies and Step scaling policies in the Application Auto Scaling User Guide.

Arguments

• service_namespace: The namespace of the Amazon Web Services service that provides the resource. For a resource provided by your own application or service, use custom-resource instead.

Optional Parameters

Optional parameters can be passed as a params::Dict{String,<:Any}. Valid keys are:

• "MaxResults": The maximum number of scalable targets. This value can be between 1 and
  1. The default value is 10. If this parameter is used, the operation returns up to
  MaxResults results at a time, along with a NextToken value. To get the next set of results, include the NextToken value in a subsequent call. If this parameter is not used, the operation returns up to 10 results and a NextToken value, if applicable.
• "NextToken": The token for the next set of results.
• "PolicyNames": The names of the scaling policies to describe.
• "ResourceId": The identifier of the resource associated with the scaling policy. This string consists of the resource type and unique identifier. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE. Amazon Comprehend entity recognizer endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE. Lambda provisioned concurrency - The resource type is function and the unique identifier is the function name with a function version or alias name suffix that is not LATEST. Example: function:my-function:prod or function:my-function:1. Amazon Keyspaces table - The resource type is table and the unique identifier is the table name. Example: keyspace/mykeyspace/table/mytable. Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. Example: arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c 2e31-5. Amazon ElastiCache replication group - The resource type is replication-group and the unique identifier is the replication group name. Example: replication-group/mycluster. Neptune cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:mycluster. SageMaker Serverless endpoint - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering.
• "ScalableDimension": The scalable dimension. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID. ecs:service:DesiredCount - The desired task count of an ECS service. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for a SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint. comprehend:entity-recognizer-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend entity recognizer endpoint. lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function. cassandra:table:ReadCapacityUnits - The provisioned read capacity for an Amazon Keyspaces table. cassandra:table:WriteCapacityUnits - The provisioned write capacity for an Amazon Keyspaces table. kafka:broker-storage:VolumeSize - The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster. elasticache:replication-group:NodeGroups
  • The number of node groups for an Amazon ElastiCache replication group.
  elasticache:replication-group:Replicas - The number of replicas per node group for an Amazon ElastiCache replication group. neptune:cluster:ReadReplicaCount - The count of read replicas in an Amazon Neptune DB cluster. sagemaker:variant:DesiredProvisionedConcurrency - The provisioned concurrency for a SageMaker Serverless endpoint.

describe_scheduled_actions(service_namespace)
describe_scheduled_actions(service_namespace, params::Dict{String,<:Any})

Describes the Application Auto Scaling scheduled actions for the specified service namespace. You can filter the results using the ResourceId, ScalableDimension, and ScheduledActionNames parameters. For more information, see Scheduled scaling and Managing scheduled scaling in the Application Auto Scaling User Guide.

Arguments

• service_namespace: The namespace of the Amazon Web Services service that provides the resource. For a resource provided by your own application or service, use custom-resource instead.

Optional Parameters

Optional parameters can be passed as a params::Dict{String,<:Any}. Valid keys are:

• "MaxResults": The maximum number of scheduled action results. This value can be between 1 and 50. The default value is 50. If this parameter is used, the operation returns up to MaxResults results at a time, along with a NextToken value. To get the next set of results, include the NextToken value in a subsequent call. If this parameter is not used, the operation returns up to 50 results and a NextToken value, if applicable.
• "NextToken": The token for the next set of results.
• "ResourceId": The identifier of the resource associated with the scheduled action. This string consists of the resource type and unique identifier. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE. Amazon Comprehend entity recognizer endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE. Lambda provisioned concurrency - The resource type is function and the unique identifier is the function name with a function version or alias name suffix that is not LATEST. Example: function:my-function:prod or function:my-function:1. Amazon Keyspaces table - The resource type is table and the unique identifier is the table name. Example: keyspace/mykeyspace/table/mytable. Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. Example: arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c 2e31-5. Amazon ElastiCache replication group - The resource type is replication-group and the unique identifier is the replication group name. Example: replication-group/mycluster. Neptune cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:mycluster. SageMaker Serverless endpoint - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering.
• "ScalableDimension": The scalable dimension. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID. ecs:service:DesiredCount - The desired task count of an ECS service. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for a SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint. comprehend:entity-recognizer-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend entity recognizer endpoint. lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function. cassandra:table:ReadCapacityUnits - The provisioned read capacity for an Amazon Keyspaces table. cassandra:table:WriteCapacityUnits - The provisioned write capacity for an Amazon Keyspaces table. kafka:broker-storage:VolumeSize - The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster. elasticache:replication-group:NodeGroups
  • The number of node groups for an Amazon ElastiCache replication group.
  elasticache:replication-group:Replicas - The number of replicas per node group for an Amazon ElastiCache replication group. neptune:cluster:ReadReplicaCount - The count of read replicas in an Amazon Neptune DB cluster. sagemaker:variant:DesiredProvisionedConcurrency - The provisioned concurrency for a SageMaker Serverless endpoint.
• "ScheduledActionNames": The names of the scheduled actions to describe.

list_tags_for_resource(resource_arn)
list_tags_for_resource(resource_arn, params::Dict{String,<:Any})

Returns all the tags on the specified Application Auto Scaling scalable target. For general information about tags, including the format and syntax, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference.

Arguments

• resource_arn: Specify the ARN of the scalable target. For example: arn:aws:application-autoscaling:us-east-1:123456789012:scalable-target/1234abcd56ab78cd901ef 1234567890ab123 To get the ARN for a scalable target, use DescribeScalableTargets.

put_scaling_policy(policy_name, resource_id, scalable_dimension, service_namespace)
put_scaling_policy(policy_name, resource_id, scalable_dimension, service_namespace, params::Dict{String,<:Any})

Creates or updates a scaling policy for an Application Auto Scaling scalable target. Each scalable target is identified by a service namespace, resource ID, and scalable dimension. A scaling policy applies to the scalable target identified by those three attributes. You cannot create a scaling policy until you have registered the resource as a scalable target. Multiple scaling policies can be in force at the same time for the same scalable target. You can have one or more target tracking scaling policies, one or more step scaling policies, or both. However, there is a chance that multiple policies could conflict, instructing the scalable target to scale out or in at the same time. Application Auto Scaling gives precedence to the policy that provides the largest capacity for both scale out and scale in. For example, if one policy increases capacity by 3, another policy increases capacity by 200 percent, and the current capacity is 10, Application Auto Scaling uses the policy with the highest calculated capacity (200% of 10 = 20) and scales out to

1. We recommend caution, however, when using target tracking scaling policies with step

scaling policies because conflicts between these policies can cause undesirable behavior. For example, if the step scaling policy initiates a scale-in activity before the target tracking policy is ready to scale in, the scale-in activity will not be blocked. After the scale-in activity completes, the target tracking policy could instruct the scalable target to scale out again. For more information, see Target tracking scaling policies and Step scaling policies in the Application Auto Scaling User Guide. If a scalable target is deregistered, the scalable target is no longer available to use scaling policies. Any scaling policies that were specified for the scalable target are deleted.

Arguments

• policy_name: The name of the scaling policy. You cannot change the name of a scaling policy, but you can delete the original scaling policy and create a new scaling policy with the same settings and a different name.
• resource_id: The identifier of the resource associated with the scaling policy. This string consists of the resource type and unique identifier. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE. Amazon Comprehend entity recognizer endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE. Lambda provisioned concurrency - The resource type is function and the unique identifier is the function name with a function version or alias name suffix that is not LATEST. Example: function:my-function:prod or function:my-function:1. Amazon Keyspaces table - The resource type is table and the unique identifier is the table name. Example: keyspace/mykeyspace/table/mytable. Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. Example: arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c 2e31-5. Amazon ElastiCache replication group - The resource type is replication-group and the unique identifier is the replication group name. Example: replication-group/mycluster. Neptune cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:mycluster. SageMaker Serverless endpoint - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering.
• scalable_dimension: The scalable dimension. This string consists of the service namespace, resource type, and scaling property. ecs:service:DesiredCount - The desired task count of an ECS service. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for a SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint. comprehend:entity-recognizer-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend entity recognizer endpoint. lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function. cassandra:table:ReadCapacityUnits - The provisioned read capacity for an Amazon Keyspaces table. cassandra:table:WriteCapacityUnits - The provisioned write capacity for an Amazon Keyspaces table. kafka:broker-storage:VolumeSize - The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster. elasticache:replication-group:NodeGroups
  • The number of node groups for an Amazon ElastiCache replication group.
  elasticache:replication-group:Replicas - The number of replicas per node group for an Amazon ElastiCache replication group. neptune:cluster:ReadReplicaCount - The count of read replicas in an Amazon Neptune DB cluster. sagemaker:variant:DesiredProvisionedConcurrency - The provisioned concurrency for a SageMaker Serverless endpoint.
• service_namespace: The namespace of the Amazon Web Services service that provides the resource. For a resource provided by your own application or service, use custom-resource instead.

Optional Parameters

Optional parameters can be passed as a params::Dict{String,<:Any}. Valid keys are:

• "PolicyType": The scaling policy type. This parameter is required if you are creating a scaling policy. The following policy types are supported: TargetTrackingScaling—Not supported for Amazon EMR StepScaling—Not supported for DynamoDB, Amazon Comprehend, Lambda, Amazon Keyspaces, Amazon MSK, Amazon ElastiCache, or Neptune. For more information, see Target tracking scaling policies and Step scaling policies in the Application Auto Scaling User Guide.
• "StepScalingPolicyConfiguration": A step scaling policy. This parameter is required if you are creating a policy and the policy type is StepScaling.
• "TargetTrackingScalingPolicyConfiguration": A target tracking scaling policy. Includes support for predefined or customized metrics. This parameter is required if you are creating a policy and the policy type is TargetTrackingScaling.

put_scheduled_action(resource_id, scalable_dimension, scheduled_action_name, service_namespace)
put_scheduled_action(resource_id, scalable_dimension, scheduled_action_name, service_namespace, params::Dict{String,<:Any})

Creates or updates a scheduled action for an Application Auto Scaling scalable target. Each scalable target is identified by a service namespace, resource ID, and scalable dimension. A scheduled action applies to the scalable target identified by those three attributes. You cannot create a scheduled action until you have registered the resource as a scalable target. When you specify start and end times with a recurring schedule using a cron expression or rates, they form the boundaries for when the recurring action starts and stops. To update a scheduled action, specify the parameters that you want to change. If you don't specify start and end times, the old values are deleted. For more information, see Scheduled scaling in the Application Auto Scaling User Guide. If a scalable target is deregistered, the scalable target is no longer available to run scheduled actions. Any scheduled actions that were specified for the scalable target are deleted.

Arguments

• resource_id: The identifier of the resource associated with the scheduled action. This string consists of the resource type and unique identifier. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE. Amazon Comprehend entity recognizer endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE. Lambda provisioned concurrency - The resource type is function and the unique identifier is the function name with a function version or alias name suffix that is not LATEST. Example: function:my-function:prod or function:my-function:1. Amazon Keyspaces table - The resource type is table and the unique identifier is the table name. Example: keyspace/mykeyspace/table/mytable. Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. Example: arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c 2e31-5. Amazon ElastiCache replication group - The resource type is replication-group and the unique identifier is the replication group name. Example: replication-group/mycluster. Neptune cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:mycluster. SageMaker Serverless endpoint - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering.
• scalable_dimension: The scalable dimension. This string consists of the service namespace, resource type, and scaling property. ecs:service:DesiredCount - The desired task count of an ECS service. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for a SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint. comprehend:entity-recognizer-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend entity recognizer endpoint. lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function. cassandra:table:ReadCapacityUnits - The provisioned read capacity for an Amazon Keyspaces table. cassandra:table:WriteCapacityUnits - The provisioned write capacity for an Amazon Keyspaces table. kafka:broker-storage:VolumeSize - The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster. elasticache:replication-group:NodeGroups
  • The number of node groups for an Amazon ElastiCache replication group.
  elasticache:replication-group:Replicas - The number of replicas per node group for an Amazon ElastiCache replication group. neptune:cluster:ReadReplicaCount - The count of read replicas in an Amazon Neptune DB cluster. sagemaker:variant:DesiredProvisionedConcurrency - The provisioned concurrency for a SageMaker Serverless endpoint.
• scheduled_action_name: The name of the scheduled action. This name must be unique among all other scheduled actions on the specified scalable target.
• service_namespace: The namespace of the Amazon Web Services service that provides the resource. For a resource provided by your own application or service, use custom-resource instead.

Optional Parameters

Optional parameters can be passed as a params::Dict{String,<:Any}. Valid keys are:

• "EndTime": The date and time for the recurring schedule to end, in UTC.
• "ScalableTargetAction": The new minimum and maximum capacity. You can set both values or just one. At the scheduled time, if the current capacity is below the minimum capacity, Application Auto Scaling scales out to the minimum capacity. If the current capacity is above the maximum capacity, Application Auto Scaling scales in to the maximum capacity.
• "Schedule": The schedule for this action. The following formats are supported: At expressions - "at(yyyy-mm-ddThh:mm:ss)" Rate expressions - "rate(value unit)" Cron expressions - "cron(fields)" At expressions are useful for one-time schedules. Cron expressions are useful for scheduled actions that run periodically at a specified date and time, and rate expressions are useful for scheduled actions that run at a regular interval. At and cron expressions use Universal Coordinated Time (UTC) by default. The cron format consists of six fields separated by white spaces: [Minutes] [Hours] [DayofMonth] [Month] [DayofWeek] [Year]. For rate expressions, value is a positive integer and unit is minute | minutes | hour | hours | day | days. For more information and examples, see Example scheduled actions for Application Auto Scaling in the Application Auto Scaling User Guide.
• "StartTime": The date and time for this scheduled action to start, in UTC.
• "Timezone": Specifies the time zone used when setting a scheduled action by using an at or cron expression. If a time zone is not provided, UTC is used by default. Valid values are the canonical names of the IANA time zones supported by Joda-Time (such as Etc/GMT+9 or Pacific/Tahiti). For more information, see https://www.joda.org/joda-time/timezones.html.

register_scalable_target(resource_id, scalable_dimension, service_namespace)
register_scalable_target(resource_id, scalable_dimension, service_namespace, params::Dict{String,<:Any})

Registers or updates a scalable target, which is the resource that you want to scale. Scalable targets are uniquely identified by the combination of resource ID, scalable dimension, and namespace, which represents some capacity dimension of the underlying service. When you register a new scalable target, you must specify values for the minimum and maximum capacity. If the specified resource is not active in the target service, this operation does not change the resource's current capacity. Otherwise, it changes the resource's current capacity to a value that is inside of this range. If you add a scaling policy, current capacity is adjustable within the specified range when scaling starts. Application Auto Scaling scaling policies will not scale capacity to values that are outside of the minimum and maximum range. After you register a scalable target, you do not need to register it again to use other Application Auto Scaling operations. To see which resources have been registered, use DescribeScalableTargets. You can also view the scaling policies for a service namespace by using DescribeScalableTargets. If you no longer need a scalable target, you can deregister it by using DeregisterScalableTarget. To update a scalable target, specify the parameters that you want to change. Include the parameters that identify the scalable target: resource ID, scalable dimension, and namespace. Any parameters that you don't specify are not changed by this update request. If you call the RegisterScalableTarget API operation to create a scalable target, there might be a brief delay until the operation achieves eventual consistency. You might become aware of this brief delay if you get unexpected errors when performing sequential operations. The typical strategy is to retry the request, and some Amazon Web Services SDKs include automatic backoff and retry logic. If you call the RegisterScalableTarget API operation to update an existing scalable target, Application Auto Scaling retrieves the current capacity of the resource. If it's below the minimum capacity or above the maximum capacity, Application Auto Scaling adjusts the capacity of the scalable target to place it within these bounds, even if you don't include the MinCapacity or MaxCapacity request parameters.

Arguments

• resource_id: The identifier of the resource that is associated with the scalable target. This string consists of the resource type and unique identifier. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE. Amazon Comprehend entity recognizer endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE. Lambda provisioned concurrency - The resource type is function and the unique identifier is the function name with a function version or alias name suffix that is not LATEST. Example: function:my-function:prod or function:my-function:1. Amazon Keyspaces table - The resource type is table and the unique identifier is the table name. Example: keyspace/mykeyspace/table/mytable. Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. Example: arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c 2e31-5. Amazon ElastiCache replication group - The resource type is replication-group and the unique identifier is the replication group name. Example: replication-group/mycluster. Neptune cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:mycluster. SageMaker Serverless endpoint - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering.
• scalable_dimension: The scalable dimension associated with the scalable target. This string consists of the service namespace, resource type, and scaling property. ecs:service:DesiredCount - The desired task count of an ECS service. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for a SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint. comprehend:entity-recognizer-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend entity recognizer endpoint. lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function. cassandra:table:ReadCapacityUnits - The provisioned read capacity for an Amazon Keyspaces table. cassandra:table:WriteCapacityUnits - The provisioned write capacity for an Amazon Keyspaces table. kafka:broker-storage:VolumeSize - The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster. elasticache:replication-group:NodeGroups
  • The number of node groups for an Amazon ElastiCache replication group.
  elasticache:replication-group:Replicas - The number of replicas per node group for an Amazon ElastiCache replication group. neptune:cluster:ReadReplicaCount - The count of read replicas in an Amazon Neptune DB cluster. sagemaker:variant:DesiredProvisionedConcurrency - The provisioned concurrency for a SageMaker Serverless endpoint.
• service_namespace: The namespace of the Amazon Web Services service that provides the resource. For a resource provided by your own application or service, use custom-resource instead.

Optional Parameters

Optional parameters can be passed as a params::Dict{String,<:Any}. Valid keys are:

• "MaxCapacity": The maximum value that you plan to scale out to. When a scaling policy is in effect, Application Auto Scaling can scale out (expand) as needed to the maximum capacity limit in response to changing demand. This property is required when registering a new scalable target. Although you can specify a large maximum capacity, note that service quotas might impose lower limits. Each service has its own default quotas for the maximum capacity of the resource. If you want to specify a higher limit, you can request an increase. For more information, consult the documentation for that service. For information about the default quotas for each service, see Service endpoints and quotas in the Amazon Web Services General Reference.
• "MinCapacity": The minimum value that you plan to scale in to. When a scaling policy is in effect, Application Auto Scaling can scale in (contract) as needed to the minimum capacity limit in response to changing demand. This property is required when registering a new scalable target. For the following resources, the minimum value allowed is 0. AppStream 2.0 fleets Aurora DB clusters ECS services EMR clusters Lambda provisioned concurrency SageMaker endpoint variants SageMaker Serverless endpoint provisioned concurrency Spot Fleets custom resources It's strongly recommended that you specify a value greater than 0. A value greater than 0 means that data points are continuously reported to CloudWatch that scaling policies can use to scale on a metric like average CPU utilization. For all other resources, the minimum allowed value depends on the type of resource that you are using. If you provide a value that is lower than what a resource can accept, an error occurs. In which case, the error message will provide the minimum value that the resource can accept.
• "RoleARN": This parameter is required for services that do not support service-linked roles (such as Amazon EMR), and it must specify the ARN of an IAM role that allows Application Auto Scaling to modify the scalable target on your behalf. If the service supports service-linked roles, Application Auto Scaling uses a service-linked role, which it creates if it does not yet exist. For more information, see Application Auto Scaling IAM roles.
• "SuspendedState": An embedded object that contains attributes and attribute values that are used to suspend and resume automatic scaling. Setting the value of an attribute to true suspends the specified scaling activities. Setting it to false (default) resumes the specified scaling activities. Suspension Outcomes For DynamicScalingInSuspended, while a suspension is in effect, all scale-in activities that are triggered by a scaling policy are suspended. For DynamicScalingOutSuspended, while a suspension is in effect, all scale-out activities that are triggered by a scaling policy are suspended. For ScheduledScalingSuspended, while a suspension is in effect, all scaling activities that involve scheduled actions are suspended. For more information, see Suspending and resuming scaling in the Application Auto Scaling User Guide.
• "Tags": Assigns one or more tags to the scalable target. Use this parameter to tag the scalable target when it is created. To tag an existing scalable target, use the TagResource operation. Each tag consists of a tag key and a tag value. Both the tag key and the tag value are required. You cannot have more than one tag on a scalable target with the same tag key. Use tags to control access to a scalable target. For more information, see Tagging support for Application Auto Scaling in the Application Auto Scaling User Guide.

tag_resource(resource_arn, tags)
tag_resource(resource_arn, tags, params::Dict{String,<:Any})

Adds or edits tags on an Application Auto Scaling scalable target. Each tag consists of a tag key and a tag value, which are both case-sensitive strings. To add a tag, specify a new tag key and a tag value. To edit a tag, specify an existing tag key and a new tag value. You can use this operation to tag an Application Auto Scaling scalable target, but you cannot tag a scaling policy or scheduled action. You can also add tags to an Application Auto Scaling scalable target while creating it (RegisterScalableTarget). For general information about tags, including the format and syntax, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference. Use tags to control access to a scalable target. For more information, see Tagging support for Application Auto Scaling in the Application Auto Scaling User Guide.

Arguments

• resource_arn: Identifies the Application Auto Scaling scalable target that you want to apply tags to. For example: arn:aws:application-autoscaling:us-east-1:123456789012:scalable-target/1234abcd56ab78cd901ef 1234567890ab123 To get the ARN for a scalable target, use DescribeScalableTargets.
• tags: The tags assigned to the resource. A tag is a label that you assign to an Amazon Web Services resource. Each tag consists of a tag key and a tag value. You cannot have more than one tag on an Application Auto Scaling scalable target with the same tag key. If you specify an existing tag key with a different tag value, Application Auto Scaling replaces the current tag value with the specified one. For information about the rules that apply to tag keys and tag values, see User-defined tag restrictions in the Amazon Web Services Billing and Cost Management User Guide.

untag_resource(resource_arn, tag_keys)
untag_resource(resource_arn, tag_keys, params::Dict{String,<:Any})

Deletes tags from an Application Auto Scaling scalable target. To delete a tag, specify the tag key and the Application Auto Scaling scalable target.

Arguments

• resource_arn: Identifies the Application Auto Scaling scalable target from which to remove tags. For example: arn:aws:application-autoscaling:us-east-1:123456789012:scalable-target/1234abcd56ab78cd901ef 1234567890ab123 To get the ARN for a scalable target, use DescribeScalableTargets.
• tag_keys: One or more tag keys. Specify only the tag keys, not the tag values.