cognitect.aws.application-autoscaling.docs.edn Maven / Gradle / Ivy
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You can filter the results using ResourceIds and ScalableDimension.
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Each scalable target is identified by a service namespace, resource ID, and scalable dimension. A scaling policy applies to the scalable target identified by those three attributes. You cannot create a scaling policy until you have registered the resource as a scalable target.
Multiple scaling policies can be in force at the same time for the same scalable target. You can have one or more target tracking scaling policies, one or more step scaling policies, or both. However, there is a chance that multiple policies could conflict, instructing the scalable target to scale out or in at the same time. Application Auto Scaling gives precedence to the policy that provides the largest capacity for both scale out and scale in. For example, if one policy increases capacity by 3, another policy increases capacity by 200 percent, and the current capacity is 10, Application Auto Scaling uses the policy with the highest calculated capacity (200% of 10 = 20) and scales out to 30.
We recommend caution, however, when using target tracking scaling policies with step scaling policies because conflicts between these policies can cause undesirable behavior. For example, if the step scaling policy initiates a scale-in activity before the target tracking policy is ready to scale in, the scale-in activity will not be blocked. After the scale-in activity completes, the target tracking policy could instruct the scalable target to scale out again.
For more information, see Target tracking scaling policies and Step scaling policies in the Application Auto Scaling User Guide.
If a scalable target is deregistered, the scalable target is no longer available to use scaling policies. Any scaling policies that were specified for the scalable target are deleted.
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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.
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Deregistering a scalable target deletes the scaling policies and the scheduled actions that are associated with it.
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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.
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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.
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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.
", :request {:ServiceNamespace [:one-of ["ecs" "elasticmapreduce" "ec2" "appstream" "dynamodb" "rds" "sagemaker" "custom-resource" "comprehend" "lambda" "cassandra" "kafka" "elasticache" "neptune"]], :ResourceId string, :ScalableDimension [:one-of ["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"]], :MinCapacity integer, :MaxCapacity integer, :RoleARN string, :SuspendedState {:DynamicScalingInSuspended boolean, :DynamicScalingOutSuspended boolean, :ScheduledScalingSuspended boolean}, :Tags [:map-of string string]}, :required [:ServiceNamespace :ResourceId :ScalableDimension], :response {:ScalableTargetARN string}}}