Put Scheduled Action

applicationautoscaling_put_scheduled_action

R Documentation

Creates or updates a scheduled action for an Application Auto Scaling scalable target

Description

Creates or updates a scheduled action for an Application Auto Scaling scalable target.

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.

Usage

applicationautoscaling_put_scheduled_action(ServiceNamespace, Schedule,
  Timezone, ScheduledActionName, ResourceId, ScalableDimension, StartTime,
  EndTime, ScalableTargetAction)

Arguments

ServiceNamespace	[required] 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.
Schedule	The schedule for this action. The following formats are supported: At expressions - "at(yyyy-mm-ddThh:mm:ss)" Rate expressions - "⁠rate(value unit)⁠" Cron expressions - "cron(fields)" At expressions are useful for one-time schedules. Cron expressions are useful for scheduled actions that run periodically at a specified date and time, and rate expressions are useful for scheduled actions that run at a regular interval. At and cron expressions use Universal Coordinated Time (UTC) by default. The cron format consists of six fields separated by white spaces: [Minutes] [Hours] [Day_of_Month] [Month] [Day_of_Week] [Year]. For rate expressions, value is a positive integer and unit is minute | minutes | hour | hours | day | days. For more information, see Schedule recurring scaling actions using cron expressions in the Application Auto Scaling User Guide.
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.
ScheduledActionName	[required] The name of the scheduled action. This name must be unique among all other scheduled actions on the specified scalable target.
ResourceId	[required] The identifier of the resource associated with the scheduled action. This string consists of the resource type and unique identifier. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/my-cluster/my-service. Spot Fleet - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: ⁠spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE⁠. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: ⁠instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0⁠. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE. Amazon Comprehend entity recognizer endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE. Lambda provisioned concurrency - The resource type is function and the unique identifier is the function name with a function version or alias name suffix that is not ⁠$LATEST⁠. Example: ⁠function:my-function:prod⁠ or ⁠function:my-function:1⁠. Amazon Keyspaces table - The resource type is table and the unique identifier is the table name. Example: keyspace/mykeyspace/table/mytable. Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. Example: ⁠arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5⁠. Amazon ElastiCache replication group - The resource type is replication-group and the unique identifier is the replication group name. Example: replication-group/mycluster. Neptune cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:mycluster. SageMaker serverless endpoint - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. SageMaker inference component - The resource type is inference-component and the unique identifier is the resource ID. Example: inference-component/my-inference-component. Pool of WorkSpaces - The resource type is workspacespool and the unique identifier is the pool ID. Example: workspacespool/wspool-123456.
ScalableDimension	[required] The scalable dimension. This string consists of the service namespace, resource type, and scaling property. ecs:service:DesiredCount - The task count of an ECS service. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet. appstream:fleet:DesiredCapacity - The capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for a SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint. comprehend:entity-recognizer-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend entity recognizer endpoint. ⁠lambda:function:ProvisionedConcurrency⁠ - The provisioned concurrency for a Lambda function. cassandra:table:ReadCapacityUnits - The provisioned read capacity for an Amazon Keyspaces table. cassandra:table:WriteCapacityUnits - The provisioned write capacity for an Amazon Keyspaces table. kafka:broker-storage:VolumeSize - The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster. elasticache:replication-group:NodeGroups - The number of node groups for an Amazon ElastiCache replication group. elasticache:replication-group:Replicas - The number of replicas per node group for an Amazon ElastiCache replication group. neptune:cluster:ReadReplicaCount - The count of read replicas in an Amazon Neptune DB cluster. sagemaker:variant:DesiredProvisionedConcurrency - The provisioned concurrency for a SageMaker serverless endpoint. sagemaker:inference-component:DesiredCopyCount - The number of copies across an endpoint for a SageMaker inference component. workspaces:workspacespool:DesiredUserSessions - The number of user sessions for the WorkSpaces in the pool.
StartTime	The date and time for this scheduled action to start, in UTC.
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.

Value

An empty list.

Request syntax

svc$put_scheduled_action(
  ServiceNamespace = "ecs"|"elasticmapreduce"|"ec2"|"appstream"|"dynamodb"|"rds"|"sagemaker"|"custom-resource"|"comprehend"|"lambda"|"cassandra"|"kafka"|"elasticache"|"neptune"|"workspaces",
  Schedule = "string",
  Timezone = "string",
  ScheduledActionName = "string",
  ResourceId = "string",
  ScalableDimension = "ecs:service:DesiredCount"|"ec2:spot-fleet-request:TargetCapacity"|"elasticmapreduce:instancegroup:InstanceCount"|"appstream:fleet:DesiredCapacity"|"dynamodb:table:ReadCapacityUnits"|"dynamodb:table:WriteCapacityUnits"|"dynamodb:index:ReadCapacityUnits"|"dynamodb:index:WriteCapacityUnits"|"rds:cluster:ReadReplicaCount"|"sagemaker:variant:DesiredInstanceCount"|"custom-resource:ResourceType:Property"|"comprehend:document-classifier-endpoint:DesiredInferenceUnits"|"comprehend:entity-recognizer-endpoint:DesiredInferenceUnits"|"lambda:function:ProvisionedConcurrency"|"cassandra:table:ReadCapacityUnits"|"cassandra:table:WriteCapacityUnits"|"kafka:broker-storage:VolumeSize"|"elasticache:replication-group:NodeGroups"|"elasticache:replication-group:Replicas"|"neptune:cluster:ReadReplicaCount"|"sagemaker:variant:DesiredProvisionedConcurrency"|"sagemaker:inference-component:DesiredCopyCount"|"workspaces:workspacespool:DesiredUserSessions",
  StartTime = as.POSIXct(
    "2015-01-01"
  ),
  EndTime = as.POSIXct(
    "2015-01-01"
  ),
  ScalableTargetAction = list(
    MinCapacity = 123,
    MaxCapacity = 123
  )
)