scaling_policies
Creates, updates, deletes or gets a scaling_policy
resource or lists scaling_policies
in a region
Overview
Name | scaling_policies |
Type | Resource |
Description | The AWS::ApplicationAutoScaling::ScalingPolicy resource defines a scaling policy that Application Auto Scaling uses to adjust the capacity of a scalable target. For more information, see [Target tracking scaling policies](https://docs.aws.amazon.com/autoscaling/application/userguide/application-auto-scaling-target-tracking.html) and [Step scaling policies](https://docs.aws.amazon.com/autoscaling/application/userguide/application-auto-scaling-step-scaling-policies.html) in the *Application Auto Scaling User Guide*. |
Id | aws.applicationautoscaling.scaling_policies |
Fields
Name | Datatype | Description |
---|---|---|
policy_type | string | The scaling policy type. The following policy types are supported: TargetTrackingScaling —Not supported for Amazon EMRStepScaling —Not supported for DynamoDB, Amazon Comprehend, Lambda, Amazon Keyspaces, Amazon MSK, Amazon ElastiCache, or Neptune. |
resource_id | string | 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/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](https://docs.aws.amazon.com/https://github.com/aws/aws-auto-scaling-custom-resource).+ 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 . |
scaling_target_id | string | The CloudFormation-generated ID of an Application Auto Scaling scalable target. For more information about the ID, see the Return Value section of the AWS::ApplicationAutoScaling::ScalableTarget resource.You must specify either the ScalingTargetId property, or the ResourceId , ScalableDimension , and ServiceNamespace properties, but not both. |
policy_name | string | The name of the scaling policy. Updates to the name of a target tracking scaling policy are not supported, unless you also update the metric used for scaling. To change only a target tracking scaling policy's name, first delete the policy by removing the existing AWS::ApplicationAutoScaling::ScalingPolicy resource from the template and updating the stack. Then, recreate the resource with the same settings and a different name. |
service_namespace | string | The namespace of the AWS service that provides the resource, or a custom-resource . |
scalable_dimension | string | 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. |
target_tracking_scaling_policy_configuration | object | A target tracking scaling policy. |
arn | string | |
step_scaling_policy_configuration | object | A step scaling policy. |
predictive_scaling_policy_configuration | object | The predictive scaling policy configuration. |
region | string | AWS region. |
For more information, see AWS::ApplicationAutoScaling::ScalingPolicy
.
Methods
Name | Accessible by | Required Params |
---|---|---|
create_resource | INSERT | PolicyName, PolicyType, region |
delete_resource | DELETE | data__Identifier, region |
update_resource | UPDATE | data__Identifier, data__PatchDocument, region |
list_resources | SELECT | region |
get_resource | SELECT | data__Identifier, region |
SELECT
examples
Gets all scaling_policies
in a region.
SELECT
region,
policy_type,
resource_id,
scaling_target_id,
policy_name,
service_namespace,
scalable_dimension,
target_tracking_scaling_policy_configuration,
arn,
step_scaling_policy_configuration,
predictive_scaling_policy_configuration
FROM aws.applicationautoscaling.scaling_policies
WHERE region = 'us-east-1';
Gets all properties from an individual scaling_policy
.
SELECT
region,
policy_type,
resource_id,
scaling_target_id,
policy_name,
service_namespace,
scalable_dimension,
target_tracking_scaling_policy_configuration,
arn,
step_scaling_policy_configuration,
predictive_scaling_policy_configuration
FROM aws.applicationautoscaling.scaling_policies
WHERE region = 'us-east-1' AND data__Identifier = '<Arn>|<ScalableDimension>';
INSERT
example
Use the following StackQL query and manifest file to create a new scaling_policy
resource, using stack-deploy
.
- Required Properties
- All Properties
- Manifest
/*+ create */
INSERT INTO aws.applicationautoscaling.scaling_policies (
PolicyType,
PolicyName,
region
)
SELECT
'{{ PolicyType }}',
'{{ PolicyName }}',
'{{ region }}';
/*+ create */
INSERT INTO aws.applicationautoscaling.scaling_policies (
PolicyType,
ResourceId,
ScalingTargetId,
PolicyName,
ServiceNamespace,
ScalableDimension,
TargetTrackingScalingPolicyConfiguration,
StepScalingPolicyConfiguration,
PredictiveScalingPolicyConfiguration,
region
)
SELECT
'{{ PolicyType }}',
'{{ ResourceId }}',
'{{ ScalingTargetId }}',
'{{ PolicyName }}',
'{{ ServiceNamespace }}',
'{{ ScalableDimension }}',
'{{ TargetTrackingScalingPolicyConfiguration }}',
'{{ StepScalingPolicyConfiguration }}',
'{{ PredictiveScalingPolicyConfiguration }}',
'{{ region }}';
version: 1
name: stack name
description: stack description
providers:
- aws
globals:
- name: region
value: '{{ vars.AWS_REGION }}'
resources:
- name: scaling_policy
props:
- name: PolicyType
value: '{{ PolicyType }}'
- name: ResourceId
value: '{{ ResourceId }}'
- name: ScalingTargetId
value: '{{ ScalingTargetId }}'
- name: PolicyName
value: '{{ PolicyName }}'
- name: ServiceNamespace
value: '{{ ServiceNamespace }}'
- name: ScalableDimension
value: '{{ ScalableDimension }}'
- name: TargetTrackingScalingPolicyConfiguration
value:
ScaleOutCooldown: '{{ ScaleOutCooldown }}'
TargetValue: null
CustomizedMetricSpecification:
MetricName: '{{ MetricName }}'
Metrics:
- ReturnData: '{{ ReturnData }}'
Expression: '{{ Expression }}'
Label: '{{ Label }}'
MetricStat:
Stat: '{{ Stat }}'
Metric:
MetricName: '{{ MetricName }}'
Dimensions:
- Value: '{{ Value }}'
Name: '{{ Name }}'
Namespace: '{{ Namespace }}'
Unit: '{{ Unit }}'
Id: '{{ Id }}'
Statistic: '{{ Statistic }}'
Dimensions:
- Value: '{{ Value }}'
Name: '{{ Name }}'
Unit: '{{ Unit }}'
Namespace: '{{ Namespace }}'
DisableScaleIn: '{{ DisableScaleIn }}'
ScaleInCooldown: '{{ ScaleInCooldown }}'
PredefinedMetricSpecification:
PredefinedMetricType: '{{ PredefinedMetricType }}'
ResourceLabel: '{{ ResourceLabel }}'
- name: StepScalingPolicyConfiguration
value:
MetricAggregationType: '{{ MetricAggregationType }}'
Cooldown: '{{ Cooldown }}'
StepAdjustments:
- MetricIntervalUpperBound: null
MetricIntervalLowerBound: null
ScalingAdjustment: '{{ ScalingAdjustment }}'
MinAdjustmentMagnitude: '{{ MinAdjustmentMagnitude }}'
AdjustmentType: '{{ AdjustmentType }}'
- name: PredictiveScalingPolicyConfiguration
value:
MaxCapacityBreachBehavior: '{{ MaxCapacityBreachBehavior }}'
MaxCapacityBuffer: '{{ MaxCapacityBuffer }}'
Mode: '{{ Mode }}'
MetricSpecifications:
- CustomizedLoadMetricSpecification:
MetricDataQueries:
- ReturnData: '{{ ReturnData }}'
Expression: '{{ Expression }}'
Label: '{{ Label }}'
MetricStat:
Stat: '{{ Stat }}'
Metric:
MetricName: '{{ MetricName }}'
Dimensions:
- Value: '{{ Value }}'
Name: '{{ Name }}'
Namespace: '{{ Namespace }}'
Unit: '{{ Unit }}'
Id: '{{ Id }}'
PredefinedLoadMetricSpecification:
PredefinedMetricType: '{{ PredefinedMetricType }}'
ResourceLabel: '{{ ResourceLabel }}'
TargetValue: null
PredefinedScalingMetricSpecification:
PredefinedMetricType: '{{ PredefinedMetricType }}'
ResourceLabel: '{{ ResourceLabel }}'
CustomizedCapacityMetricSpecification:
MetricDataQueries:
- null
CustomizedScalingMetricSpecification:
MetricDataQueries:
- null
PredefinedMetricPairSpecification:
PredefinedMetricType: '{{ PredefinedMetricType }}'
ResourceLabel: '{{ ResourceLabel }}'
SchedulingBufferTime: '{{ SchedulingBufferTime }}'
DELETE
example
/*+ delete */
DELETE FROM aws.applicationautoscaling.scaling_policies
WHERE data__Identifier = '<Arn|ScalableDimension>'
AND region = 'us-east-1';
Permissions
To operate on the scaling_policies
resource, the following permissions are required:
Read
application-autoscaling:DescribeScalingPolicies
Create
application-autoscaling:DescribeScalingPolicies,
application-autoscaling:PutScalingPolicy,
cloudwatch:GetMetricData
Update
application-autoscaling:DescribeScalingPolicies,
application-autoscaling:PutScalingPolicy,
cloudwatch:GetMetricData
List
application-autoscaling:DescribeScalingPolicies
Delete
application-autoscaling:DescribeScalingPolicies,
application-autoscaling:DeleteScalingPolicy