AWS Cloud Control v1.37.0, Oct 15 25

We recommend new projects start with resources from the AWS provider.

AWS Cloud Control v1.37.0 published on Wednesday, Oct 15, 2025 by Pulumi

pulumi/pulumi-aws-native

aws-native.applicationautoscaling.ScalingPolicy

We recommend new projects start with resources from the AWS provider.

AWS Cloud Control v1.37.0 published on Wednesday, Oct 15, 2025 by Pulumi

pulumi/pulumi-aws-native

Create ScalingPolicy Resource

Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

Constructor syntax

new ScalingPolicy(name: string, args: ScalingPolicyArgs, opts?: CustomResourceOptions);

@overload
def ScalingPolicy(resource_name: str,
                  args: ScalingPolicyArgs,
                  opts: Optional[ResourceOptions] = None)

@overload
def ScalingPolicy(resource_name: str,
                  opts: Optional[ResourceOptions] = None,
                  policy_type: Optional[str] = None,
                  policy_name: Optional[str] = None,
                  predictive_scaling_policy_configuration: Optional[ScalingPolicyPredictiveScalingPolicyConfigurationArgs] = None,
                  resource_id: Optional[str] = None,
                  scalable_dimension: Optional[str] = None,
                  scaling_target_id: Optional[str] = None,
                  service_namespace: Optional[str] = None,
                  step_scaling_policy_configuration: Optional[ScalingPolicyStepScalingPolicyConfigurationArgs] = None,
                  target_tracking_scaling_policy_configuration: Optional[ScalingPolicyTargetTrackingScalingPolicyConfigurationArgs] = None)

func NewScalingPolicy(ctx *Context, name string, args ScalingPolicyArgs, opts ...ResourceOption) (*ScalingPolicy, error)

public ScalingPolicy(string name, ScalingPolicyArgs args, CustomResourceOptions? opts = null)

public ScalingPolicy(String name, ScalingPolicyArgs args)
public ScalingPolicy(String name, ScalingPolicyArgs args, CustomResourceOptions options)

type: aws-native:applicationautoscaling:ScalingPolicy
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

Parameters

name string: The unique name of the resource.
args ScalingPolicyArgs: The arguments to resource properties.
opts CustomResourceOptions: Bag of options to control resource's behavior.

resource_name str: The unique name of the resource.
args ScalingPolicyArgs: The arguments to resource properties.
opts ResourceOptions: Bag of options to control resource's behavior.

ctx Context: Context object for the current deployment.
name string: The unique name of the resource.
args ScalingPolicyArgs: The arguments to resource properties.
opts ResourceOption: Bag of options to control resource's behavior.

name string: The unique name of the resource.
args ScalingPolicyArgs: The arguments to resource properties.
opts CustomResourceOptions: Bag of options to control resource's behavior.

name String: The unique name of the resource.
args ScalingPolicyArgs: The arguments to resource properties.
options CustomResourceOptions: Bag of options to control resource's behavior.

ScalingPolicy Resource Properties

To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

Inputs

In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.

The ScalingPolicy resource accepts the following input properties:

PolicyType string

The scaling policy type. 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. PredictiveScaling—Only supported for Amazon ECS

PolicyName 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.

PredictiveScalingPolicyConfiguration Pulumi.AwsNative.ApplicationAutoScaling.Inputs.ScalingPolicyPredictiveScalingPolicyConfiguration

The predictive scaling policy configuration.

ResourceId 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.
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.
Amazon ElastiCache cache cluster - The resource type is cache-cluster and the unique identifier is the cache cluster name. Example: cache-cluster/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 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:cache-cluster:Nodes - The number of nodes for an Amazon ElastiCache cache 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.

ScalingTargetId 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.

ServiceNamespace string

The namespace of the AWS service that provides the resource, or a custom-resource.

StepScalingPolicyConfiguration Pulumi.AwsNative.ApplicationAutoScaling.Inputs.ScalingPolicyStepScalingPolicyConfiguration

A step scaling policy.

TargetTrackingScalingPolicyConfiguration Pulumi.AwsNative.ApplicationAutoScaling.Inputs.ScalingPolicyTargetTrackingScalingPolicyConfiguration

A target tracking scaling policy.

PolicyType string

PolicyName string

PredictiveScalingPolicyConfiguration ScalingPolicyPredictiveScalingPolicyConfigurationArgs

The predictive scaling policy configuration.

ResourceId 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.
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.
Amazon ElastiCache cache cluster - The resource type is cache-cluster and the unique identifier is the cache cluster name. Example: cache-cluster/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 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:cache-cluster:Nodes - The number of nodes for an Amazon ElastiCache cache 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.

ScalingTargetId string

ServiceNamespace string

The namespace of the AWS service that provides the resource, or a custom-resource.

StepScalingPolicyConfiguration ScalingPolicyStepScalingPolicyConfigurationArgs

A step scaling policy.

TargetTrackingScalingPolicyConfiguration ScalingPolicyTargetTrackingScalingPolicyConfigurationArgs

A target tracking scaling policy.

policyType String

policyName String

predictiveScalingPolicyConfiguration ScalingPolicyPredictiveScalingPolicyConfiguration

The predictive scaling policy configuration.

resourceId 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.
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.
Amazon ElastiCache cache cluster - The resource type is cache-cluster and the unique identifier is the cache cluster name. Example: cache-cluster/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 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:cache-cluster:Nodes - The number of nodes for an Amazon ElastiCache cache 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.

scalingTargetId String

serviceNamespace String

The namespace of the AWS service that provides the resource, or a custom-resource.

stepScalingPolicyConfiguration ScalingPolicyStepScalingPolicyConfiguration

A step scaling policy.

targetTrackingScalingPolicyConfiguration ScalingPolicyTargetTrackingScalingPolicyConfiguration

A target tracking scaling policy.

policyType string

policyName string

predictiveScalingPolicyConfiguration ScalingPolicyPredictiveScalingPolicyConfiguration

The predictive scaling policy configuration.

resourceId 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.
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.
Amazon ElastiCache cache cluster - The resource type is cache-cluster and the unique identifier is the cache cluster name. Example: cache-cluster/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 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:cache-cluster:Nodes - The number of nodes for an Amazon ElastiCache cache 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.

scalingTargetId string

serviceNamespace string

The namespace of the AWS service that provides the resource, or a custom-resource.

stepScalingPolicyConfiguration ScalingPolicyStepScalingPolicyConfiguration

A step scaling policy.

targetTrackingScalingPolicyConfiguration ScalingPolicyTargetTrackingScalingPolicyConfiguration

A target tracking scaling policy.

policy_type str

policy_name str

predictive_scaling_policy_configuration ScalingPolicyPredictiveScalingPolicyConfigurationArgs

The predictive scaling policy configuration.

resource_id str

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.
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.
Amazon ElastiCache cache cluster - The resource type is cache-cluster and the unique identifier is the cache cluster name. Example: cache-cluster/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.

scalable_dimension str

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:cache-cluster:Nodes - The number of nodes for an Amazon ElastiCache cache 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.

scaling_target_id str

service_namespace str

The namespace of the AWS service that provides the resource, or a custom-resource.

step_scaling_policy_configuration ScalingPolicyStepScalingPolicyConfigurationArgs

A step scaling policy.

target_tracking_scaling_policy_configuration ScalingPolicyTargetTrackingScalingPolicyConfigurationArgs

A target tracking scaling policy.

policyType String

policyName String

predictiveScalingPolicyConfiguration Property Map

The predictive scaling policy configuration.

resourceId 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.
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.
Amazon ElastiCache cache cluster - The resource type is cache-cluster and the unique identifier is the cache cluster name. Example: cache-cluster/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 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:cache-cluster:Nodes - The number of nodes for an Amazon ElastiCache cache 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.

scalingTargetId String

serviceNamespace String

The namespace of the AWS service that provides the resource, or a custom-resource.

stepScalingPolicyConfiguration Property Map

A step scaling policy.

targetTrackingScalingPolicyConfiguration Property Map

A target tracking scaling policy.

Outputs

All input properties are implicitly available as output properties. Additionally, the ScalingPolicy resource produces the following output properties:

Arn string: Returns the ARN of a scaling policy.
Id string: The provider-assigned unique ID for this managed resource.

Arn string: Returns the ARN of a scaling policy.
Id string: The provider-assigned unique ID for this managed resource.

arn String: Returns the ARN of a scaling policy.
id String: The provider-assigned unique ID for this managed resource.

arn string: Returns the ARN of a scaling policy.
id string: The provider-assigned unique ID for this managed resource.

arn str: Returns the ARN of a scaling policy.
id str: The provider-assigned unique ID for this managed resource.

arn String: Returns the ARN of a scaling policy.
id String: The provider-assigned unique ID for this managed resource.

Supporting Types

ScalingPolicyCustomizedMetricSpecification, ScalingPolicyCustomizedMetricSpecificationArgs

Contains customized metric specification information for a target tracking scaling policy for Application Auto Scaling. For information about the available metrics for a service, see services that publish CloudWatch metrics in the Amazon CloudWatch User Guide. To create your customized metric specification:

Add values for each required parameter from CloudWatch. You can use an existing metric, or a new metric that you create. To use your own metric, you must first publish the metric to CloudWatch. For more information, see Publish custom metrics in the Amazon CloudWatch User Guide.
Choose a metric that changes proportionally with capacity. The value of the metric should increase or decrease in inverse proportion to the number of capacity units. That is, the value of the metric should decrease when capacity increases, and increase when capacity decreases.

For an example of how creating new metrics can be useful, see Scaling based on Amazon SQS in the Amazon EC2 Auto Scaling User Guide. This topic mentions Auto Scaling groups, but the same scenario for Amazon SQS can apply to the target tracking scaling policies that you create for a Spot Fleet by using Application Auto Scaling. For more information about the CloudWatch terminology below, see Amazon CloudWatch concepts. CustomizedMetricSpecification is a property of the AWS::ApplicationAutoScaling::ScalingPolicy TargetTrackingScalingPolicyConfiguration property type.

Dimensions List<Pulumi.AwsNative.ApplicationAutoScaling.Inputs.ScalingPolicyMetricDimension>: The dimensions of the metric. Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy.
MetricName string: The name of the metric. To get the exact metric name, namespace, and dimensions, inspect the Metric object that's returned by a call to ListMetrics.
Metrics List<Pulumi.AwsNative.ApplicationAutoScaling.Inputs.ScalingPolicyTargetTrackingMetricDataQuery>: The metrics to include in the target tracking scaling policy, as a metric data query. This can include both raw metric and metric math expressions.
Namespace string: The namespace of the metric.
Statistic string: The statistic of the metric.
Unit string: The unit of the metric. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference.

Dimensions []ScalingPolicyMetricDimension: The dimensions of the metric. Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy.
MetricName string: The name of the metric. To get the exact metric name, namespace, and dimensions, inspect the Metric object that's returned by a call to ListMetrics.
Metrics []ScalingPolicyTargetTrackingMetricDataQuery: The metrics to include in the target tracking scaling policy, as a metric data query. This can include both raw metric and metric math expressions.
Namespace string: The namespace of the metric.
Statistic string: The statistic of the metric.
Unit string: The unit of the metric. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference.

dimensions List<ScalingPolicyMetricDimension>: The dimensions of the metric. Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy.
metricName String: The name of the metric. To get the exact metric name, namespace, and dimensions, inspect the Metric object that's returned by a call to ListMetrics.
metrics List<ScalingPolicyTargetTrackingMetricDataQuery>: The metrics to include in the target tracking scaling policy, as a metric data query. This can include both raw metric and metric math expressions.
namespace String: The namespace of the metric.
statistic String: The statistic of the metric.
unit String: The unit of the metric. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference.

dimensions ScalingPolicyMetricDimension[]: The dimensions of the metric. Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy.
metricName string: The name of the metric. To get the exact metric name, namespace, and dimensions, inspect the Metric object that's returned by a call to ListMetrics.
metrics ScalingPolicyTargetTrackingMetricDataQuery[]: The metrics to include in the target tracking scaling policy, as a metric data query. This can include both raw metric and metric math expressions.
namespace string: The namespace of the metric.
statistic string: The statistic of the metric.
unit string: The unit of the metric. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference.

dimensions Sequence[ScalingPolicyMetricDimension]: The dimensions of the metric. Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy.
metric_name str: The name of the metric. To get the exact metric name, namespace, and dimensions, inspect the Metric object that's returned by a call to ListMetrics.
metrics Sequence[ScalingPolicyTargetTrackingMetricDataQuery]: The metrics to include in the target tracking scaling policy, as a metric data query. This can include both raw metric and metric math expressions.
namespace str: The namespace of the metric.
statistic str: The statistic of the metric.
unit str: The unit of the metric. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference.

dimensions List<Property Map>: The dimensions of the metric. Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy.
metricName String: The name of the metric. To get the exact metric name, namespace, and dimensions, inspect the Metric object that's returned by a call to ListMetrics.
metrics List<Property Map>: The metrics to include in the target tracking scaling policy, as a metric data query. This can include both raw metric and metric math expressions.
namespace String: The namespace of the metric.
statistic String: The statistic of the metric.
unit String: The unit of the metric. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference.

ScalingPolicyMetricDimension, ScalingPolicyMetricDimensionArgs

MetricDimension specifies a name/value pair that is part of the identity of a CloudWatch metric for the Dimensions property of the AWS::ApplicationAutoScaling::ScalingPolicy CustomizedMetricSpecification property type. Duplicate dimensions are not allowed.

Name string: The name of the dimension.
Value string: The value of the dimension.

Name string: The name of the dimension.
Value string: The value of the dimension.

name String: The name of the dimension.
value String: The value of the dimension.

name string: The name of the dimension.
value string: The value of the dimension.

name str: The name of the dimension.
value str: The value of the dimension.

name String: The name of the dimension.
value String: The value of the dimension.

ScalingPolicyPredefinedMetricSpecification, ScalingPolicyPredefinedMetricSpecificationArgs

Contains predefined metric specification information for a target tracking scaling policy for Application Auto Scaling. PredefinedMetricSpecification is a property of the AWS::ApplicationAutoScaling::ScalingPolicy TargetTrackingScalingPolicyConfiguration property type.

PredefinedMetricType string

The metric type. The ALBRequestCountPerTarget metric type applies only to Spot fleet requests and ECS services.

ResourceLabel string

Identifies the resource associated with the metric type. You can't specify a resource label unless the metric type is ALBRequestCountPerTarget and there is a target group attached to the Spot Fleet or ECS service. You create the resource label by appending the final portion of the load balancer ARN and the final portion of the target group ARN into a single value, separated by a forward slash (/). The format of the resource label is: app/my-alb/778d41231b141a0f/targetgroup/my-alb-target-group/943f017f100becff. Where:

app// is the final portion of the load balancer ARN
targetgroup// is the final portion of the target group ARN.

To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use the DescribeTargetGroups API operation.

PredefinedMetricType string

The metric type. The ALBRequestCountPerTarget metric type applies only to Spot fleet requests and ECS services.

ResourceLabel string

app// is the final portion of the load balancer ARN
targetgroup// is the final portion of the target group ARN.

To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use the DescribeTargetGroups API operation.

predefinedMetricType String

The metric type. The ALBRequestCountPerTarget metric type applies only to Spot fleet requests and ECS services.

resourceLabel String

app// is the final portion of the load balancer ARN
targetgroup// is the final portion of the target group ARN.

To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use the DescribeTargetGroups API operation.

predefinedMetricType string

The metric type. The ALBRequestCountPerTarget metric type applies only to Spot fleet requests and ECS services.

resourceLabel string

app// is the final portion of the load balancer ARN
targetgroup// is the final portion of the target group ARN.

To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use the DescribeTargetGroups API operation.

predefined_metric_type str

The metric type. The ALBRequestCountPerTarget metric type applies only to Spot fleet requests and ECS services.

resource_label str

app// is the final portion of the load balancer ARN
targetgroup// is the final portion of the target group ARN.

To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use the DescribeTargetGroups API operation.

predefinedMetricType String

The metric type. The ALBRequestCountPerTarget metric type applies only to Spot fleet requests and ECS services.

resourceLabel String

app// is the final portion of the load balancer ARN
targetgroup// is the final portion of the target group ARN.

To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use the DescribeTargetGroups API operation.

ScalingPolicyPredictiveScalingCustomizedCapacityMetric, ScalingPolicyPredictiveScalingCustomizedCapacityMetricArgs

Represents a CloudWatch metric of your choosing for a predictive scaling policy.

MetricDataQueries List<Pulumi.AwsNative.ApplicationAutoScaling.Inputs.ScalingPolicyPredictiveScalingMetricDataQuery>: One or more metric data queries to provide data points for a metric specification.

MetricDataQueries []ScalingPolicyPredictiveScalingMetricDataQuery: One or more metric data queries to provide data points for a metric specification.

metricDataQueries List<ScalingPolicyPredictiveScalingMetricDataQuery>: One or more metric data queries to provide data points for a metric specification.

metricDataQueries ScalingPolicyPredictiveScalingMetricDataQuery[]: One or more metric data queries to provide data points for a metric specification.

metric_data_queries Sequence[ScalingPolicyPredictiveScalingMetricDataQuery]: One or more metric data queries to provide data points for a metric specification.

metricDataQueries List<Property Map>: One or more metric data queries to provide data points for a metric specification.

ScalingPolicyPredictiveScalingCustomizedLoadMetric, ScalingPolicyPredictiveScalingCustomizedLoadMetricArgs

The customized load metric specification.

MetricDataQueries List<Pulumi.AwsNative.ApplicationAutoScaling.Inputs.ScalingPolicyPredictiveScalingMetricDataQuery>

MetricDataQueries []ScalingPolicyPredictiveScalingMetricDataQuery

metricDataQueries List<ScalingPolicyPredictiveScalingMetricDataQuery>

metricDataQueries ScalingPolicyPredictiveScalingMetricDataQuery[]

metric_data_queries Sequence[ScalingPolicyPredictiveScalingMetricDataQuery]

metricDataQueries List<Property Map>

ScalingPolicyPredictiveScalingCustomizedScalingMetric, ScalingPolicyPredictiveScalingCustomizedScalingMetricArgs

One or more metric data queries to provide data points for a metric specification.

MetricDataQueries List<Pulumi.AwsNative.ApplicationAutoScaling.Inputs.ScalingPolicyPredictiveScalingMetricDataQuery>: One or more metric data queries to provide data points for a metric specification.

MetricDataQueries []ScalingPolicyPredictiveScalingMetricDataQuery: One or more metric data queries to provide data points for a metric specification.

metricDataQueries List<ScalingPolicyPredictiveScalingMetricDataQuery>: One or more metric data queries to provide data points for a metric specification.

metricDataQueries ScalingPolicyPredictiveScalingMetricDataQuery[]: One or more metric data queries to provide data points for a metric specification.

metric_data_queries Sequence[ScalingPolicyPredictiveScalingMetricDataQuery]: One or more metric data queries to provide data points for a metric specification.

metricDataQueries List<Property Map>: One or more metric data queries to provide data points for a metric specification.

ScalingPolicyPredictiveScalingMetric, ScalingPolicyPredictiveScalingMetricArgs

Describes the scaling metric.

Dimensions List<Pulumi.AwsNative.ApplicationAutoScaling.Inputs.ScalingPolicyPredictiveScalingMetricDimension>: Describes the dimensions of the metric.
MetricName string: The name of the metric.
Namespace string: The namespace of the metric.

Dimensions []ScalingPolicyPredictiveScalingMetricDimension: Describes the dimensions of the metric.
MetricName string: The name of the metric.
Namespace string: The namespace of the metric.

dimensions List<ScalingPolicyPredictiveScalingMetricDimension>: Describes the dimensions of the metric.
metricName String: The name of the metric.
namespace String: The namespace of the metric.

dimensions ScalingPolicyPredictiveScalingMetricDimension[]: Describes the dimensions of the metric.
metricName string: The name of the metric.
namespace string: The namespace of the metric.

dimensions Sequence[ScalingPolicyPredictiveScalingMetricDimension]: Describes the dimensions of the metric.
metric_name str: The name of the metric.
namespace str: The namespace of the metric.

dimensions List<Property Map>: Describes the dimensions of the metric.
metricName String: The name of the metric.
namespace String: The namespace of the metric.

ScalingPolicyPredictiveScalingMetricDataQuery, ScalingPolicyPredictiveScalingMetricDataQueryArgs

Expression string: The math expression to perform on the returned data, if this object is performing a math expression. This expression can use the Id of the other metrics to refer to those metrics, and can also use the Id of other expressions to use the result of those expressions. Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat, but not both.
Id string: A short name that identifies the object's results in the response. This name must be unique among all MetricDataQuery objects specified for a single scaling policy. If you are performing math expressions on this set of data, this name represents that data and can serve as a variable in the mathematical expression. The valid characters are letters, numbers, and underscores. The first character must be a lowercase letter.
Label string: A human-readable label for this metric or expression. This is especially useful if this is a math expression, so that you know what the value represents.
MetricStat Pulumi.AwsNative.ApplicationAutoScaling.Inputs.ScalingPolicyPredictiveScalingMetricStat: Information about the metric data to return. Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat, but not both.
ReturnData bool: Indicates whether to return the timestamps and raw data values of this metric. If you use any math expressions, specify true for this value for only the final math expression that the metric specification is based on. You must specify false for ReturnData for all the other metrics and expressions used in the metric specification. If you are only retrieving metrics and not performing any math expressions, do not specify anything for ReturnData. This sets it to its default (true).

Expression string: The math expression to perform on the returned data, if this object is performing a math expression. This expression can use the Id of the other metrics to refer to those metrics, and can also use the Id of other expressions to use the result of those expressions. Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat, but not both.
Id string: A short name that identifies the object's results in the response. This name must be unique among all MetricDataQuery objects specified for a single scaling policy. If you are performing math expressions on this set of data, this name represents that data and can serve as a variable in the mathematical expression. The valid characters are letters, numbers, and underscores. The first character must be a lowercase letter.
Label string: A human-readable label for this metric or expression. This is especially useful if this is a math expression, so that you know what the value represents.
MetricStat ScalingPolicyPredictiveScalingMetricStat: Information about the metric data to return. Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat, but not both.
ReturnData bool: Indicates whether to return the timestamps and raw data values of this metric. If you use any math expressions, specify true for this value for only the final math expression that the metric specification is based on. You must specify false for ReturnData for all the other metrics and expressions used in the metric specification. If you are only retrieving metrics and not performing any math expressions, do not specify anything for ReturnData. This sets it to its default (true).

expression String: The math expression to perform on the returned data, if this object is performing a math expression. This expression can use the Id of the other metrics to refer to those metrics, and can also use the Id of other expressions to use the result of those expressions. Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat, but not both.
id String: A short name that identifies the object's results in the response. This name must be unique among all MetricDataQuery objects specified for a single scaling policy. If you are performing math expressions on this set of data, this name represents that data and can serve as a variable in the mathematical expression. The valid characters are letters, numbers, and underscores. The first character must be a lowercase letter.
label String: A human-readable label for this metric or expression. This is especially useful if this is a math expression, so that you know what the value represents.
metricStat ScalingPolicyPredictiveScalingMetricStat: Information about the metric data to return. Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat, but not both.
returnData Boolean: Indicates whether to return the timestamps and raw data values of this metric. If you use any math expressions, specify true for this value for only the final math expression that the metric specification is based on. You must specify false for ReturnData for all the other metrics and expressions used in the metric specification. If you are only retrieving metrics and not performing any math expressions, do not specify anything for ReturnData. This sets it to its default (true).

expression string: The math expression to perform on the returned data, if this object is performing a math expression. This expression can use the Id of the other metrics to refer to those metrics, and can also use the Id of other expressions to use the result of those expressions. Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat, but not both.
id string: A short name that identifies the object's results in the response. This name must be unique among all MetricDataQuery objects specified for a single scaling policy. If you are performing math expressions on this set of data, this name represents that data and can serve as a variable in the mathematical expression. The valid characters are letters, numbers, and underscores. The first character must be a lowercase letter.
label string: A human-readable label for this metric or expression. This is especially useful if this is a math expression, so that you know what the value represents.
metricStat ScalingPolicyPredictiveScalingMetricStat: Information about the metric data to return. Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat, but not both.
returnData boolean: Indicates whether to return the timestamps and raw data values of this metric. If you use any math expressions, specify true for this value for only the final math expression that the metric specification is based on. You must specify false for ReturnData for all the other metrics and expressions used in the metric specification. If you are only retrieving metrics and not performing any math expressions, do not specify anything for ReturnData. This sets it to its default (true).

expression str: The math expression to perform on the returned data, if this object is performing a math expression. This expression can use the Id of the other metrics to refer to those metrics, and can also use the Id of other expressions to use the result of those expressions. Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat, but not both.
id str: A short name that identifies the object's results in the response. This name must be unique among all MetricDataQuery objects specified for a single scaling policy. If you are performing math expressions on this set of data, this name represents that data and can serve as a variable in the mathematical expression. The valid characters are letters, numbers, and underscores. The first character must be a lowercase letter.
label str: A human-readable label for this metric or expression. This is especially useful if this is a math expression, so that you know what the value represents.
metric_stat ScalingPolicyPredictiveScalingMetricStat: Information about the metric data to return. Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat, but not both.
return_data bool: Indicates whether to return the timestamps and raw data values of this metric. If you use any math expressions, specify true for this value for only the final math expression that the metric specification is based on. You must specify false for ReturnData for all the other metrics and expressions used in the metric specification. If you are only retrieving metrics and not performing any math expressions, do not specify anything for ReturnData. This sets it to its default (true).

expression String: The math expression to perform on the returned data, if this object is performing a math expression. This expression can use the Id of the other metrics to refer to those metrics, and can also use the Id of other expressions to use the result of those expressions. Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat, but not both.
id String: A short name that identifies the object's results in the response. This name must be unique among all MetricDataQuery objects specified for a single scaling policy. If you are performing math expressions on this set of data, this name represents that data and can serve as a variable in the mathematical expression. The valid characters are letters, numbers, and underscores. The first character must be a lowercase letter.
label String: A human-readable label for this metric or expression. This is especially useful if this is a math expression, so that you know what the value represents.
metricStat Property Map: Information about the metric data to return. Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat, but not both.
returnData Boolean: Indicates whether to return the timestamps and raw data values of this metric. If you use any math expressions, specify true for this value for only the final math expression that the metric specification is based on. You must specify false for ReturnData for all the other metrics and expressions used in the metric specification. If you are only retrieving metrics and not performing any math expressions, do not specify anything for ReturnData. This sets it to its default (true).

ScalingPolicyPredictiveScalingMetricDimension, ScalingPolicyPredictiveScalingMetricDimensionArgs

Describes the dimension of a metric.

Name string: The name of the dimension.
Value string: The value of the dimension.

Name string: The name of the dimension.
Value string: The value of the dimension.

name String: The name of the dimension.
value String: The value of the dimension.

name string: The name of the dimension.
value string: The value of the dimension.

name str: The name of the dimension.
value str: The value of the dimension.

name String: The name of the dimension.
value String: The value of the dimension.

ScalingPolicyPredictiveScalingMetricSpecification, ScalingPolicyPredictiveScalingMetricSpecificationArgs

This structure specifies the metrics and target utilization settings for a predictive scaling policy. You must specify either a metric pair, or a load metric and a scaling metric individually. Specifying a metric pair instead of individual metrics provides a simpler way to configure metrics for a scaling policy. You choose the metric pair, and the policy automatically knows the correct sum and average statistics to use for the load metric and the scaling metric.

TargetValue double: Specifies the target utilization.
CustomizedCapacityMetricSpecification Pulumi.AwsNative.ApplicationAutoScaling.Inputs.ScalingPolicyPredictiveScalingCustomizedCapacityMetric: The customized capacity metric specification.
CustomizedLoadMetricSpecification Pulumi.AwsNative.ApplicationAutoScaling.Inputs.ScalingPolicyPredictiveScalingCustomizedLoadMetric: The customized load metric specification.
CustomizedScalingMetricSpecification Pulumi.AwsNative.ApplicationAutoScaling.Inputs.ScalingPolicyPredictiveScalingCustomizedScalingMetric: The customized scaling metric specification.
PredefinedLoadMetricSpecification Pulumi.AwsNative.ApplicationAutoScaling.Inputs.ScalingPolicyPredictiveScalingPredefinedLoadMetric: The predefined load metric specification.
PredefinedMetricPairSpecification Pulumi.AwsNative.ApplicationAutoScaling.Inputs.ScalingPolicyPredictiveScalingPredefinedMetricPair: The predefined metric pair specification that determines the appropriate scaling metric and load metric to use.
PredefinedScalingMetricSpecification Pulumi.AwsNative.ApplicationAutoScaling.Inputs.ScalingPolicyPredictiveScalingPredefinedScalingMetric: The predefined scaling metric specification.

TargetValue float64: Specifies the target utilization.
CustomizedCapacityMetricSpecification ScalingPolicyPredictiveScalingCustomizedCapacityMetric: The customized capacity metric specification.
CustomizedLoadMetricSpecification ScalingPolicyPredictiveScalingCustomizedLoadMetric: The customized load metric specification.
CustomizedScalingMetricSpecification ScalingPolicyPredictiveScalingCustomizedScalingMetric: The customized scaling metric specification.
PredefinedLoadMetricSpecification ScalingPolicyPredictiveScalingPredefinedLoadMetric: The predefined load metric specification.
PredefinedMetricPairSpecification ScalingPolicyPredictiveScalingPredefinedMetricPair: The predefined metric pair specification that determines the appropriate scaling metric and load metric to use.
PredefinedScalingMetricSpecification ScalingPolicyPredictiveScalingPredefinedScalingMetric: The predefined scaling metric specification.

targetValue Double: Specifies the target utilization.
customizedCapacityMetricSpecification ScalingPolicyPredictiveScalingCustomizedCapacityMetric: The customized capacity metric specification.
customizedLoadMetricSpecification ScalingPolicyPredictiveScalingCustomizedLoadMetric: The customized load metric specification.
customizedScalingMetricSpecification ScalingPolicyPredictiveScalingCustomizedScalingMetric: The customized scaling metric specification.
predefinedLoadMetricSpecification ScalingPolicyPredictiveScalingPredefinedLoadMetric: The predefined load metric specification.
predefinedMetricPairSpecification ScalingPolicyPredictiveScalingPredefinedMetricPair: The predefined metric pair specification that determines the appropriate scaling metric and load metric to use.
predefinedScalingMetricSpecification ScalingPolicyPredictiveScalingPredefinedScalingMetric: The predefined scaling metric specification.

targetValue number: Specifies the target utilization.
customizedCapacityMetricSpecification ScalingPolicyPredictiveScalingCustomizedCapacityMetric: The customized capacity metric specification.
customizedLoadMetricSpecification ScalingPolicyPredictiveScalingCustomizedLoadMetric: The customized load metric specification.
customizedScalingMetricSpecification ScalingPolicyPredictiveScalingCustomizedScalingMetric: The customized scaling metric specification.
predefinedLoadMetricSpecification ScalingPolicyPredictiveScalingPredefinedLoadMetric: The predefined load metric specification.
predefinedMetricPairSpecification ScalingPolicyPredictiveScalingPredefinedMetricPair: The predefined metric pair specification that determines the appropriate scaling metric and load metric to use.
predefinedScalingMetricSpecification ScalingPolicyPredictiveScalingPredefinedScalingMetric: The predefined scaling metric specification.

target_value float: Specifies the target utilization.
customized_capacity_metric_specification ScalingPolicyPredictiveScalingCustomizedCapacityMetric: The customized capacity metric specification.
customized_load_metric_specification ScalingPolicyPredictiveScalingCustomizedLoadMetric: The customized load metric specification.
customized_scaling_metric_specification ScalingPolicyPredictiveScalingCustomizedScalingMetric: The customized scaling metric specification.
predefined_load_metric_specification ScalingPolicyPredictiveScalingPredefinedLoadMetric: The predefined load metric specification.
predefined_metric_pair_specification ScalingPolicyPredictiveScalingPredefinedMetricPair: The predefined metric pair specification that determines the appropriate scaling metric and load metric to use.
predefined_scaling_metric_specification ScalingPolicyPredictiveScalingPredefinedScalingMetric: The predefined scaling metric specification.

targetValue Number: Specifies the target utilization.
customizedCapacityMetricSpecification Property Map: The customized capacity metric specification.
customizedLoadMetricSpecification Property Map: The customized load metric specification.
customizedScalingMetricSpecification Property Map: The customized scaling metric specification.
predefinedLoadMetricSpecification Property Map: The predefined load metric specification.
predefinedMetricPairSpecification Property Map: The predefined metric pair specification that determines the appropriate scaling metric and load metric to use.
predefinedScalingMetricSpecification Property Map: The predefined scaling metric specification.

ScalingPolicyPredictiveScalingMetricStat, ScalingPolicyPredictiveScalingMetricStatArgs

This structure defines the CloudWatch metric to return, along with the statistic and unit.

Metric Pulumi.AwsNative.ApplicationAutoScaling.Inputs.ScalingPolicyPredictiveScalingMetric: The CloudWatch metric to return, including the metric name, namespace, and dimensions. To get the exact metric name, namespace, and dimensions, inspect the Metric object that is returned by a call to ListMetrics.
Stat string: The statistic to return. It can include any CloudWatch statistic or extended statistic. For a list of valid values, see the table in Statistics in the Amazon CloudWatch User Guide. The most commonly used metrics for predictive scaling are Average and Sum.
Unit string: The unit to use for the returned data points. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference.

Metric ScalingPolicyPredictiveScalingMetric: The CloudWatch metric to return, including the metric name, namespace, and dimensions. To get the exact metric name, namespace, and dimensions, inspect the Metric object that is returned by a call to ListMetrics.
Stat string: The statistic to return. It can include any CloudWatch statistic or extended statistic. For a list of valid values, see the table in Statistics in the Amazon CloudWatch User Guide. The most commonly used metrics for predictive scaling are Average and Sum.
Unit string: The unit to use for the returned data points. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference.

metric ScalingPolicyPredictiveScalingMetric: The CloudWatch metric to return, including the metric name, namespace, and dimensions. To get the exact metric name, namespace, and dimensions, inspect the Metric object that is returned by a call to ListMetrics.
stat String: The statistic to return. It can include any CloudWatch statistic or extended statistic. For a list of valid values, see the table in Statistics in the Amazon CloudWatch User Guide. The most commonly used metrics for predictive scaling are Average and Sum.
unit String: The unit to use for the returned data points. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference.

metric ScalingPolicyPredictiveScalingMetric: The CloudWatch metric to return, including the metric name, namespace, and dimensions. To get the exact metric name, namespace, and dimensions, inspect the Metric object that is returned by a call to ListMetrics.
stat string: The statistic to return. It can include any CloudWatch statistic or extended statistic. For a list of valid values, see the table in Statistics in the Amazon CloudWatch User Guide. The most commonly used metrics for predictive scaling are Average and Sum.
unit string: The unit to use for the returned data points. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference.

metric ScalingPolicyPredictiveScalingMetric: The CloudWatch metric to return, including the metric name, namespace, and dimensions. To get the exact metric name, namespace, and dimensions, inspect the Metric object that is returned by a call to ListMetrics.
stat str: The statistic to return. It can include any CloudWatch statistic or extended statistic. For a list of valid values, see the table in Statistics in the Amazon CloudWatch User Guide. The most commonly used metrics for predictive scaling are Average and Sum.
unit str: The unit to use for the returned data points. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference.

metric Property Map: The CloudWatch metric to return, including the metric name, namespace, and dimensions. To get the exact metric name, namespace, and dimensions, inspect the Metric object that is returned by a call to ListMetrics.
stat String: The statistic to return. It can include any CloudWatch statistic or extended statistic. For a list of valid values, see the table in Statistics in the Amazon CloudWatch User Guide. The most commonly used metrics for predictive scaling are Average and Sum.
unit String: The unit to use for the returned data points. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference.

ScalingPolicyPredictiveScalingPolicyConfiguration, ScalingPolicyPredictiveScalingPolicyConfigurationArgs

Represents a predictive scaling policy configuration. Predictive scaling is supported on Amazon ECS services.

MetricSpecifications List<Pulumi.AwsNative.ApplicationAutoScaling.Inputs.ScalingPolicyPredictiveScalingMetricSpecification>: This structure includes the metrics and target utilization to use for predictive scaling. This is an array, but we currently only support a single metric specification. That is, you can specify a target value and a single metric pair, or a target value and one scaling metric and one load metric.
MaxCapacityBreachBehavior string: Defines the behavior that should be applied if the forecast capacity approaches or exceeds the maximum capacity. Defaults to HonorMaxCapacity if not specified.
MaxCapacityBuffer int: The size of the capacity buffer to use when the forecast capacity is close to or exceeds the maximum capacity. The value is specified as a percentage relative to the forecast capacity. For example, if the buffer is 10, this means a 10 percent buffer, such that if the forecast capacity is 50, and the maximum capacity is 40, then the effective maximum capacity is 55. Required if the MaxCapacityBreachBehavior property is set to IncreaseMaxCapacity, and cannot be used otherwise.
Mode string: The predictive scaling mode. Defaults to ForecastOnly if not specified.
SchedulingBufferTime int: The amount of time, in seconds, that the start time can be advanced. The value must be less than the forecast interval duration of 3600 seconds (60 minutes). Defaults to 300 seconds if not specified.

MetricSpecifications []ScalingPolicyPredictiveScalingMetricSpecification: This structure includes the metrics and target utilization to use for predictive scaling. This is an array, but we currently only support a single metric specification. That is, you can specify a target value and a single metric pair, or a target value and one scaling metric and one load metric.
MaxCapacityBreachBehavior string: Defines the behavior that should be applied if the forecast capacity approaches or exceeds the maximum capacity. Defaults to HonorMaxCapacity if not specified.
MaxCapacityBuffer int: The size of the capacity buffer to use when the forecast capacity is close to or exceeds the maximum capacity. The value is specified as a percentage relative to the forecast capacity. For example, if the buffer is 10, this means a 10 percent buffer, such that if the forecast capacity is 50, and the maximum capacity is 40, then the effective maximum capacity is 55. Required if the MaxCapacityBreachBehavior property is set to IncreaseMaxCapacity, and cannot be used otherwise.
Mode string: The predictive scaling mode. Defaults to ForecastOnly if not specified.
SchedulingBufferTime int: The amount of time, in seconds, that the start time can be advanced. The value must be less than the forecast interval duration of 3600 seconds (60 minutes). Defaults to 300 seconds if not specified.

metricSpecifications List<ScalingPolicyPredictiveScalingMetricSpecification>: This structure includes the metrics and target utilization to use for predictive scaling. This is an array, but we currently only support a single metric specification. That is, you can specify a target value and a single metric pair, or a target value and one scaling metric and one load metric.
maxCapacityBreachBehavior String: Defines the behavior that should be applied if the forecast capacity approaches or exceeds the maximum capacity. Defaults to HonorMaxCapacity if not specified.
maxCapacityBuffer Integer: The size of the capacity buffer to use when the forecast capacity is close to or exceeds the maximum capacity. The value is specified as a percentage relative to the forecast capacity. For example, if the buffer is 10, this means a 10 percent buffer, such that if the forecast capacity is 50, and the maximum capacity is 40, then the effective maximum capacity is 55. Required if the MaxCapacityBreachBehavior property is set to IncreaseMaxCapacity, and cannot be used otherwise.
mode String: The predictive scaling mode. Defaults to ForecastOnly if not specified.
schedulingBufferTime Integer: The amount of time, in seconds, that the start time can be advanced. The value must be less than the forecast interval duration of 3600 seconds (60 minutes). Defaults to 300 seconds if not specified.

metricSpecifications ScalingPolicyPredictiveScalingMetricSpecification[]: This structure includes the metrics and target utilization to use for predictive scaling. This is an array, but we currently only support a single metric specification. That is, you can specify a target value and a single metric pair, or a target value and one scaling metric and one load metric.
maxCapacityBreachBehavior string: Defines the behavior that should be applied if the forecast capacity approaches or exceeds the maximum capacity. Defaults to HonorMaxCapacity if not specified.
maxCapacityBuffer number: The size of the capacity buffer to use when the forecast capacity is close to or exceeds the maximum capacity. The value is specified as a percentage relative to the forecast capacity. For example, if the buffer is 10, this means a 10 percent buffer, such that if the forecast capacity is 50, and the maximum capacity is 40, then the effective maximum capacity is 55. Required if the MaxCapacityBreachBehavior property is set to IncreaseMaxCapacity, and cannot be used otherwise.
mode string: The predictive scaling mode. Defaults to ForecastOnly if not specified.
schedulingBufferTime number: The amount of time, in seconds, that the start time can be advanced. The value must be less than the forecast interval duration of 3600 seconds (60 minutes). Defaults to 300 seconds if not specified.

metric_specifications Sequence[ScalingPolicyPredictiveScalingMetricSpecification]: This structure includes the metrics and target utilization to use for predictive scaling. This is an array, but we currently only support a single metric specification. That is, you can specify a target value and a single metric pair, or a target value and one scaling metric and one load metric.
max_capacity_breach_behavior str: Defines the behavior that should be applied if the forecast capacity approaches or exceeds the maximum capacity. Defaults to HonorMaxCapacity if not specified.
max_capacity_buffer int: The size of the capacity buffer to use when the forecast capacity is close to or exceeds the maximum capacity. The value is specified as a percentage relative to the forecast capacity. For example, if the buffer is 10, this means a 10 percent buffer, such that if the forecast capacity is 50, and the maximum capacity is 40, then the effective maximum capacity is 55. Required if the MaxCapacityBreachBehavior property is set to IncreaseMaxCapacity, and cannot be used otherwise.
mode str: The predictive scaling mode. Defaults to ForecastOnly if not specified.
scheduling_buffer_time int: The amount of time, in seconds, that the start time can be advanced. The value must be less than the forecast interval duration of 3600 seconds (60 minutes). Defaults to 300 seconds if not specified.

metricSpecifications List<Property Map>: This structure includes the metrics and target utilization to use for predictive scaling. This is an array, but we currently only support a single metric specification. That is, you can specify a target value and a single metric pair, or a target value and one scaling metric and one load metric.
maxCapacityBreachBehavior String: Defines the behavior that should be applied if the forecast capacity approaches or exceeds the maximum capacity. Defaults to HonorMaxCapacity if not specified.
maxCapacityBuffer Number: The size of the capacity buffer to use when the forecast capacity is close to or exceeds the maximum capacity. The value is specified as a percentage relative to the forecast capacity. For example, if the buffer is 10, this means a 10 percent buffer, such that if the forecast capacity is 50, and the maximum capacity is 40, then the effective maximum capacity is 55. Required if the MaxCapacityBreachBehavior property is set to IncreaseMaxCapacity, and cannot be used otherwise.
mode String: The predictive scaling mode. Defaults to ForecastOnly if not specified.
schedulingBufferTime Number: The amount of time, in seconds, that the start time can be advanced. The value must be less than the forecast interval duration of 3600 seconds (60 minutes). Defaults to 300 seconds if not specified.

ScalingPolicyPredictiveScalingPredefinedLoadMetric, ScalingPolicyPredictiveScalingPredefinedLoadMetricArgs

Describes a load metric for a predictive scaling policy. When returned in the output of DescribePolicies, it indicates that a predictive scaling policy uses individually specified load and scaling metrics instead of a metric pair. The following predefined metrics are available for predictive scaling:

ECSServiceAverageCPUUtilization
ECSServiceAverageMemoryUtilization
ECSServiceCPUUtilization
ECSServiceMemoryUtilization
ECSServiceTotalCPUUtilization
ECSServiceTotalMemoryUtilization
ALBRequestCount
ALBRequestCountPerTarget
TotalALBRequestCount

PredefinedMetricType string: The metric type.
ResourceLabel string: A label that uniquely identifies a target group.

PredefinedMetricType string: The metric type.
ResourceLabel string: A label that uniquely identifies a target group.

predefinedMetricType String: The metric type.
resourceLabel String: A label that uniquely identifies a target group.

predefinedMetricType string: The metric type.
resourceLabel string: A label that uniquely identifies a target group.

predefined_metric_type str: The metric type.
resource_label str: A label that uniquely identifies a target group.

predefinedMetricType String: The metric type.
resourceLabel String: A label that uniquely identifies a target group.

ScalingPolicyPredictiveScalingPredefinedMetricPair, ScalingPolicyPredictiveScalingPredefinedMetricPairArgs

Represents a metric pair for a predictive scaling policy. The following predefined metrics are available for predictive scaling:

ECSServiceAverageCPUUtilization
ECSServiceAverageMemoryUtilization
ECSServiceCPUUtilization
ECSServiceMemoryUtilization
ECSServiceTotalCPUUtilization
ECSServiceTotalMemoryUtilization
ALBRequestCount
ALBRequestCountPerTarget
TotalALBRequestCount

PredefinedMetricType string: Indicates which metrics to use. There are two different types of metrics for each metric type: one is a load metric and one is a scaling metric.
ResourceLabel string: A label that uniquely identifies a specific target group from which to determine the total and average request count.

PredefinedMetricType string: Indicates which metrics to use. There are two different types of metrics for each metric type: one is a load metric and one is a scaling metric.
ResourceLabel string: A label that uniquely identifies a specific target group from which to determine the total and average request count.

predefinedMetricType String: Indicates which metrics to use. There are two different types of metrics for each metric type: one is a load metric and one is a scaling metric.
resourceLabel String: A label that uniquely identifies a specific target group from which to determine the total and average request count.

predefinedMetricType string: Indicates which metrics to use. There are two different types of metrics for each metric type: one is a load metric and one is a scaling metric.
resourceLabel string: A label that uniquely identifies a specific target group from which to determine the total and average request count.

predefined_metric_type str: Indicates which metrics to use. There are two different types of metrics for each metric type: one is a load metric and one is a scaling metric.
resource_label str: A label that uniquely identifies a specific target group from which to determine the total and average request count.

predefinedMetricType String: Indicates which metrics to use. There are two different types of metrics for each metric type: one is a load metric and one is a scaling metric.
resourceLabel String: A label that uniquely identifies a specific target group from which to determine the total and average request count.

ScalingPolicyPredictiveScalingPredefinedScalingMetric, ScalingPolicyPredictiveScalingPredefinedScalingMetricArgs

Describes a scaling metric for a predictive scaling policy. When returned in the output of DescribePolicies, it indicates that a predictive scaling policy uses individually specified load and scaling metrics instead of a metric pair. The following predefined metrics are available for predictive scaling:

ECSServiceAverageCPUUtilization
ECSServiceAverageMemoryUtilization
ECSServiceCPUUtilization
ECSServiceMemoryUtilization
ECSServiceTotalCPUUtilization
ECSServiceTotalMemoryUtilization
ALBRequestCount
ALBRequestCountPerTarget
TotalALBRequestCount

PredefinedMetricType string: The metric type.
ResourceLabel string: A label that uniquely identifies a specific target group from which to determine the average request count.

PredefinedMetricType string: The metric type.
ResourceLabel string: A label that uniquely identifies a specific target group from which to determine the average request count.

predefinedMetricType String: The metric type.
resourceLabel String: A label that uniquely identifies a specific target group from which to determine the average request count.

predefinedMetricType string: The metric type.
resourceLabel string: A label that uniquely identifies a specific target group from which to determine the average request count.

predefined_metric_type str: The metric type.
resource_label str: A label that uniquely identifies a specific target group from which to determine the average request count.

predefinedMetricType String: The metric type.
resourceLabel String: A label that uniquely identifies a specific target group from which to determine the average request count.

ScalingPolicyStepAdjustment, ScalingPolicyStepAdjustmentArgs

StepAdjustment specifies a step adjustment for the StepAdjustments property of the AWS::ApplicationAutoScaling::ScalingPolicy StepScalingPolicyConfiguration property type. For the following examples, suppose that you have an alarm with a breach threshold of 50:

To trigger a step adjustment when the metric is greater than or equal to 50 and less than 60, specify a lower bound of 0 and an upper bound of 10.
To trigger a step adjustment when the metric is greater than 40 and less than or equal to 50, specify a lower bound of -10 and an upper bound of 0.

For more information, see Step adjustments in the Application Auto Scaling User Guide. You can find a sample template snippet in the Examples section of the AWS::ApplicationAutoScaling::ScalingPolicy documentation.

ScalingAdjustment int: The amount by which to scale. The adjustment is based on the value that you specified in the AdjustmentType property (either an absolute number or a percentage). A positive value adds to the current capacity and a negative number subtracts from the current capacity.
MetricIntervalLowerBound double: The lower bound for the difference between the alarm threshold and the CloudWatch metric. If the metric value is above the breach threshold, the lower bound is inclusive (the metric must be greater than or equal to the threshold plus the lower bound). Otherwise, it is exclusive (the metric must be greater than the threshold plus the lower bound). A null value indicates negative infinity. You must specify at least one upper or lower bound.
MetricIntervalUpperBound double: The upper bound for the difference between the alarm threshold and the CloudWatch metric. If the metric value is above the breach threshold, the upper bound is exclusive (the metric must be less than the threshold plus the upper bound). Otherwise, it is inclusive (the metric must be less than or equal to the threshold plus the upper bound). A null value indicates positive infinity. You must specify at least one upper or lower bound.

ScalingAdjustment int: The amount by which to scale. The adjustment is based on the value that you specified in the AdjustmentType property (either an absolute number or a percentage). A positive value adds to the current capacity and a negative number subtracts from the current capacity.
MetricIntervalLowerBound float64: The lower bound for the difference between the alarm threshold and the CloudWatch metric. If the metric value is above the breach threshold, the lower bound is inclusive (the metric must be greater than or equal to the threshold plus the lower bound). Otherwise, it is exclusive (the metric must be greater than the threshold plus the lower bound). A null value indicates negative infinity. You must specify at least one upper or lower bound.
MetricIntervalUpperBound float64: The upper bound for the difference between the alarm threshold and the CloudWatch metric. If the metric value is above the breach threshold, the upper bound is exclusive (the metric must be less than the threshold plus the upper bound). Otherwise, it is inclusive (the metric must be less than or equal to the threshold plus the upper bound). A null value indicates positive infinity. You must specify at least one upper or lower bound.

scalingAdjustment Integer: The amount by which to scale. The adjustment is based on the value that you specified in the AdjustmentType property (either an absolute number or a percentage). A positive value adds to the current capacity and a negative number subtracts from the current capacity.
metricIntervalLowerBound Double: The lower bound for the difference between the alarm threshold and the CloudWatch metric. If the metric value is above the breach threshold, the lower bound is inclusive (the metric must be greater than or equal to the threshold plus the lower bound). Otherwise, it is exclusive (the metric must be greater than the threshold plus the lower bound). A null value indicates negative infinity. You must specify at least one upper or lower bound.
metricIntervalUpperBound Double: The upper bound for the difference between the alarm threshold and the CloudWatch metric. If the metric value is above the breach threshold, the upper bound is exclusive (the metric must be less than the threshold plus the upper bound). Otherwise, it is inclusive (the metric must be less than or equal to the threshold plus the upper bound). A null value indicates positive infinity. You must specify at least one upper or lower bound.

scalingAdjustment number: The amount by which to scale. The adjustment is based on the value that you specified in the AdjustmentType property (either an absolute number or a percentage). A positive value adds to the current capacity and a negative number subtracts from the current capacity.
metricIntervalLowerBound number: The lower bound for the difference between the alarm threshold and the CloudWatch metric. If the metric value is above the breach threshold, the lower bound is inclusive (the metric must be greater than or equal to the threshold plus the lower bound). Otherwise, it is exclusive (the metric must be greater than the threshold plus the lower bound). A null value indicates negative infinity. You must specify at least one upper or lower bound.
metricIntervalUpperBound number: The upper bound for the difference between the alarm threshold and the CloudWatch metric. If the metric value is above the breach threshold, the upper bound is exclusive (the metric must be less than the threshold plus the upper bound). Otherwise, it is inclusive (the metric must be less than or equal to the threshold plus the upper bound). A null value indicates positive infinity. You must specify at least one upper or lower bound.

scaling_adjustment int: The amount by which to scale. The adjustment is based on the value that you specified in the AdjustmentType property (either an absolute number or a percentage). A positive value adds to the current capacity and a negative number subtracts from the current capacity.
metric_interval_lower_bound float: The lower bound for the difference between the alarm threshold and the CloudWatch metric. If the metric value is above the breach threshold, the lower bound is inclusive (the metric must be greater than or equal to the threshold plus the lower bound). Otherwise, it is exclusive (the metric must be greater than the threshold plus the lower bound). A null value indicates negative infinity. You must specify at least one upper or lower bound.
metric_interval_upper_bound float: The upper bound for the difference between the alarm threshold and the CloudWatch metric. If the metric value is above the breach threshold, the upper bound is exclusive (the metric must be less than the threshold plus the upper bound). Otherwise, it is inclusive (the metric must be less than or equal to the threshold plus the upper bound). A null value indicates positive infinity. You must specify at least one upper or lower bound.

scalingAdjustment Number: The amount by which to scale. The adjustment is based on the value that you specified in the AdjustmentType property (either an absolute number or a percentage). A positive value adds to the current capacity and a negative number subtracts from the current capacity.
metricIntervalLowerBound Number: The lower bound for the difference between the alarm threshold and the CloudWatch metric. If the metric value is above the breach threshold, the lower bound is inclusive (the metric must be greater than or equal to the threshold plus the lower bound). Otherwise, it is exclusive (the metric must be greater than the threshold plus the lower bound). A null value indicates negative infinity. You must specify at least one upper or lower bound.
metricIntervalUpperBound Number: The upper bound for the difference between the alarm threshold and the CloudWatch metric. If the metric value is above the breach threshold, the upper bound is exclusive (the metric must be less than the threshold plus the upper bound). Otherwise, it is inclusive (the metric must be less than or equal to the threshold plus the upper bound). A null value indicates positive infinity. You must specify at least one upper or lower bound.

ScalingPolicyStepScalingPolicyConfiguration, ScalingPolicyStepScalingPolicyConfigurationArgs

StepScalingPolicyConfiguration is a property of the AWS::ApplicationAutoScaling::ScalingPolicy resource that specifies a step scaling policy configuration for Application Auto Scaling. For more information, see Step scaling policies in the Application Auto Scaling User Guide.

AdjustmentType string: Specifies whether the ScalingAdjustment value in the StepAdjustment property is an absolute number or a percentage of the current capacity.
Cooldown int: The amount of time, in seconds, to wait for a previous scaling activity to take effect. If not specified, the default value is 300. For more information, see Cooldown period in the Application Auto Scaling User Guide.
MetricAggregationType string: The aggregation type for the CloudWatch metrics. Valid values are Minimum, Maximum, and Average. If the aggregation type is null, the value is treated as Average.
MinAdjustmentMagnitude int: The minimum value to scale by when the adjustment type is PercentChangeInCapacity. For example, suppose that you create a step scaling policy to scale out an Amazon ECS service by 25 percent and you specify a MinAdjustmentMagnitude of 2. If the service has 4 tasks and the scaling policy is performed, 25 percent of 4 is 1. However, because you specified a MinAdjustmentMagnitude of 2, Application Auto Scaling scales out the service by 2 tasks.
StepAdjustments List<Pulumi.AwsNative.ApplicationAutoScaling.Inputs.ScalingPolicyStepAdjustment>: A set of adjustments that enable you to scale based on the size of the alarm breach. At least one step adjustment is required if you are adding a new step scaling policy configuration.

AdjustmentType string: Specifies whether the ScalingAdjustment value in the StepAdjustment property is an absolute number or a percentage of the current capacity.
Cooldown int: The amount of time, in seconds, to wait for a previous scaling activity to take effect. If not specified, the default value is 300. For more information, see Cooldown period in the Application Auto Scaling User Guide.
MetricAggregationType string: The aggregation type for the CloudWatch metrics. Valid values are Minimum, Maximum, and Average. If the aggregation type is null, the value is treated as Average.
MinAdjustmentMagnitude int: The minimum value to scale by when the adjustment type is PercentChangeInCapacity. For example, suppose that you create a step scaling policy to scale out an Amazon ECS service by 25 percent and you specify a MinAdjustmentMagnitude of 2. If the service has 4 tasks and the scaling policy is performed, 25 percent of 4 is 1. However, because you specified a MinAdjustmentMagnitude of 2, Application Auto Scaling scales out the service by 2 tasks.
StepAdjustments []ScalingPolicyStepAdjustment: A set of adjustments that enable you to scale based on the size of the alarm breach. At least one step adjustment is required if you are adding a new step scaling policy configuration.

adjustmentType String: Specifies whether the ScalingAdjustment value in the StepAdjustment property is an absolute number or a percentage of the current capacity.
cooldown Integer: The amount of time, in seconds, to wait for a previous scaling activity to take effect. If not specified, the default value is 300. For more information, see Cooldown period in the Application Auto Scaling User Guide.
metricAggregationType String: The aggregation type for the CloudWatch metrics. Valid values are Minimum, Maximum, and Average. If the aggregation type is null, the value is treated as Average.
minAdjustmentMagnitude Integer: The minimum value to scale by when the adjustment type is PercentChangeInCapacity. For example, suppose that you create a step scaling policy to scale out an Amazon ECS service by 25 percent and you specify a MinAdjustmentMagnitude of 2. If the service has 4 tasks and the scaling policy is performed, 25 percent of 4 is 1. However, because you specified a MinAdjustmentMagnitude of 2, Application Auto Scaling scales out the service by 2 tasks.
stepAdjustments List<ScalingPolicyStepAdjustment>: A set of adjustments that enable you to scale based on the size of the alarm breach. At least one step adjustment is required if you are adding a new step scaling policy configuration.

adjustmentType string: Specifies whether the ScalingAdjustment value in the StepAdjustment property is an absolute number or a percentage of the current capacity.
cooldown number: The amount of time, in seconds, to wait for a previous scaling activity to take effect. If not specified, the default value is 300. For more information, see Cooldown period in the Application Auto Scaling User Guide.
metricAggregationType string: The aggregation type for the CloudWatch metrics. Valid values are Minimum, Maximum, and Average. If the aggregation type is null, the value is treated as Average.
minAdjustmentMagnitude number: The minimum value to scale by when the adjustment type is PercentChangeInCapacity. For example, suppose that you create a step scaling policy to scale out an Amazon ECS service by 25 percent and you specify a MinAdjustmentMagnitude of 2. If the service has 4 tasks and the scaling policy is performed, 25 percent of 4 is 1. However, because you specified a MinAdjustmentMagnitude of 2, Application Auto Scaling scales out the service by 2 tasks.
stepAdjustments ScalingPolicyStepAdjustment[]: A set of adjustments that enable you to scale based on the size of the alarm breach. At least one step adjustment is required if you are adding a new step scaling policy configuration.

adjustment_type str: Specifies whether the ScalingAdjustment value in the StepAdjustment property is an absolute number or a percentage of the current capacity.
cooldown int: The amount of time, in seconds, to wait for a previous scaling activity to take effect. If not specified, the default value is 300. For more information, see Cooldown period in the Application Auto Scaling User Guide.
metric_aggregation_type str: The aggregation type for the CloudWatch metrics. Valid values are Minimum, Maximum, and Average. If the aggregation type is null, the value is treated as Average.
min_adjustment_magnitude int: The minimum value to scale by when the adjustment type is PercentChangeInCapacity. For example, suppose that you create a step scaling policy to scale out an Amazon ECS service by 25 percent and you specify a MinAdjustmentMagnitude of 2. If the service has 4 tasks and the scaling policy is performed, 25 percent of 4 is 1. However, because you specified a MinAdjustmentMagnitude of 2, Application Auto Scaling scales out the service by 2 tasks.
step_adjustments Sequence[ScalingPolicyStepAdjustment]: A set of adjustments that enable you to scale based on the size of the alarm breach. At least one step adjustment is required if you are adding a new step scaling policy configuration.

adjustmentType String: Specifies whether the ScalingAdjustment value in the StepAdjustment property is an absolute number or a percentage of the current capacity.
cooldown Number: The amount of time, in seconds, to wait for a previous scaling activity to take effect. If not specified, the default value is 300. For more information, see Cooldown period in the Application Auto Scaling User Guide.
metricAggregationType String: The aggregation type for the CloudWatch metrics. Valid values are Minimum, Maximum, and Average. If the aggregation type is null, the value is treated as Average.
minAdjustmentMagnitude Number: The minimum value to scale by when the adjustment type is PercentChangeInCapacity. For example, suppose that you create a step scaling policy to scale out an Amazon ECS service by 25 percent and you specify a MinAdjustmentMagnitude of 2. If the service has 4 tasks and the scaling policy is performed, 25 percent of 4 is 1. However, because you specified a MinAdjustmentMagnitude of 2, Application Auto Scaling scales out the service by 2 tasks.
stepAdjustments List<Property Map>: A set of adjustments that enable you to scale based on the size of the alarm breach. At least one step adjustment is required if you are adding a new step scaling policy configuration.

ScalingPolicyTargetTrackingMetric, ScalingPolicyTargetTrackingMetricArgs

Represents a specific metric for a target tracking scaling policy for Application Auto Scaling. Metric is a property of the AWS::ApplicationAutoScaling::ScalingPolicy TargetTrackingMetricStat property type.

Dimensions List<Pulumi.AwsNative.ApplicationAutoScaling.Inputs.ScalingPolicyTargetTrackingMetricDimension>: The dimensions for the metric. For the list of available dimensions, see the AWS documentation available from the table in services that publish CloudWatch metrics in the Amazon CloudWatch User Guide. Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy.
MetricName string: The name of the metric.
Namespace string: The namespace of the metric. For more information, see the table in services that publish CloudWatch metrics in the Amazon CloudWatch User Guide.

Dimensions []ScalingPolicyTargetTrackingMetricDimension: The dimensions for the metric. For the list of available dimensions, see the AWS documentation available from the table in services that publish CloudWatch metrics in the Amazon CloudWatch User Guide. Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy.
MetricName string: The name of the metric.
Namespace string: The namespace of the metric. For more information, see the table in services that publish CloudWatch metrics in the Amazon CloudWatch User Guide.

dimensions List<ScalingPolicyTargetTrackingMetricDimension>: The dimensions for the metric. For the list of available dimensions, see the AWS documentation available from the table in services that publish CloudWatch metrics in the Amazon CloudWatch User Guide. Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy.
metricName String: The name of the metric.
namespace String: The namespace of the metric. For more information, see the table in services that publish CloudWatch metrics in the Amazon CloudWatch User Guide.

dimensions ScalingPolicyTargetTrackingMetricDimension[]: The dimensions for the metric. For the list of available dimensions, see the AWS documentation available from the table in services that publish CloudWatch metrics in the Amazon CloudWatch User Guide. Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy.
metricName string: The name of the metric.
namespace string: The namespace of the metric. For more information, see the table in services that publish CloudWatch metrics in the Amazon CloudWatch User Guide.

dimensions Sequence[ScalingPolicyTargetTrackingMetricDimension]: The dimensions for the metric. For the list of available dimensions, see the AWS documentation available from the table in services that publish CloudWatch metrics in the Amazon CloudWatch User Guide. Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy.
metric_name str: The name of the metric.
namespace str: The namespace of the metric. For more information, see the table in services that publish CloudWatch metrics in the Amazon CloudWatch User Guide.

dimensions List<Property Map>: The dimensions for the metric. For the list of available dimensions, see the AWS documentation available from the table in services that publish CloudWatch metrics in the Amazon CloudWatch User Guide. Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy.
metricName String: The name of the metric.
namespace String: The namespace of the metric. For more information, see the table in services that publish CloudWatch metrics in the Amazon CloudWatch User Guide.

ScalingPolicyTargetTrackingMetricDataQuery, ScalingPolicyTargetTrackingMetricDataQueryArgs

The metric data to return. Also defines whether this call is returning data for one metric only, or whether it is performing a math expression on the values of returned metric statistics to create a new time series. A time series is a series of data points, each of which is associated with a timestamp. You can call for a single metric or perform math expressions on multiple metrics. Any expressions used in a metric specification must eventually return a single time series. For more information and examples, see Create a target tracking scaling policy for Application Auto Scaling using metric math in the Application Auto Scaling User Guide. TargetTrackingMetricDataQuery is a property of the AWS::ApplicationAutoScaling::ScalingPolicy CustomizedMetricSpecification property type.

Expression string: The math expression to perform on the returned data, if this object is performing a math expression. This expression can use the Id of the other metrics to refer to those metrics, and can also use the Id of other expressions to use the result of those expressions. Conditional: Within each TargetTrackingMetricDataQuery object, you must specify either Expression or MetricStat, but not both.
Id string: A short name that identifies the object's results in the response. This name must be unique among all MetricDataQuery objects specified for a single scaling policy. If you are performing math expressions on this set of data, this name represents that data and can serve as a variable in the mathematical expression. The valid characters are letters, numbers, and underscores. The first character must be a lowercase letter.
Label string: A human-readable label for this metric or expression. This is especially useful if this is a math expression, so that you know what the value represents.
MetricStat Pulumi.AwsNative.ApplicationAutoScaling.Inputs.ScalingPolicyTargetTrackingMetricStat: Information about the metric data to return. Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat, but not both.
ReturnData bool: Indicates whether to return the timestamps and raw data values of this metric. If you use any math expressions, specify true for this value for only the final math expression that the metric specification is based on. You must specify false for ReturnData for all the other metrics and expressions used in the metric specification. If you are only retrieving metrics and not performing any math expressions, do not specify anything for ReturnData. This sets it to its default (true).

Expression string: The math expression to perform on the returned data, if this object is performing a math expression. This expression can use the Id of the other metrics to refer to those metrics, and can also use the Id of other expressions to use the result of those expressions. Conditional: Within each TargetTrackingMetricDataQuery object, you must specify either Expression or MetricStat, but not both.
Id string: A short name that identifies the object's results in the response. This name must be unique among all MetricDataQuery objects specified for a single scaling policy. If you are performing math expressions on this set of data, this name represents that data and can serve as a variable in the mathematical expression. The valid characters are letters, numbers, and underscores. The first character must be a lowercase letter.
Label string: A human-readable label for this metric or expression. This is especially useful if this is a math expression, so that you know what the value represents.
MetricStat ScalingPolicyTargetTrackingMetricStat: Information about the metric data to return. Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat, but not both.
ReturnData bool: Indicates whether to return the timestamps and raw data values of this metric. If you use any math expressions, specify true for this value for only the final math expression that the metric specification is based on. You must specify false for ReturnData for all the other metrics and expressions used in the metric specification. If you are only retrieving metrics and not performing any math expressions, do not specify anything for ReturnData. This sets it to its default (true).

expression String: The math expression to perform on the returned data, if this object is performing a math expression. This expression can use the Id of the other metrics to refer to those metrics, and can also use the Id of other expressions to use the result of those expressions. Conditional: Within each TargetTrackingMetricDataQuery object, you must specify either Expression or MetricStat, but not both.
id String: A short name that identifies the object's results in the response. This name must be unique among all MetricDataQuery objects specified for a single scaling policy. If you are performing math expressions on this set of data, this name represents that data and can serve as a variable in the mathematical expression. The valid characters are letters, numbers, and underscores. The first character must be a lowercase letter.
label String: A human-readable label for this metric or expression. This is especially useful if this is a math expression, so that you know what the value represents.
metricStat ScalingPolicyTargetTrackingMetricStat: Information about the metric data to return. Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat, but not both.
returnData Boolean: Indicates whether to return the timestamps and raw data values of this metric. If you use any math expressions, specify true for this value for only the final math expression that the metric specification is based on. You must specify false for ReturnData for all the other metrics and expressions used in the metric specification. If you are only retrieving metrics and not performing any math expressions, do not specify anything for ReturnData. This sets it to its default (true).

expression string: The math expression to perform on the returned data, if this object is performing a math expression. This expression can use the Id of the other metrics to refer to those metrics, and can also use the Id of other expressions to use the result of those expressions. Conditional: Within each TargetTrackingMetricDataQuery object, you must specify either Expression or MetricStat, but not both.
id string: A short name that identifies the object's results in the response. This name must be unique among all MetricDataQuery objects specified for a single scaling policy. If you are performing math expressions on this set of data, this name represents that data and can serve as a variable in the mathematical expression. The valid characters are letters, numbers, and underscores. The first character must be a lowercase letter.
label string: A human-readable label for this metric or expression. This is especially useful if this is a math expression, so that you know what the value represents.
metricStat ScalingPolicyTargetTrackingMetricStat: Information about the metric data to return. Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat, but not both.
returnData boolean: Indicates whether to return the timestamps and raw data values of this metric. If you use any math expressions, specify true for this value for only the final math expression that the metric specification is based on. You must specify false for ReturnData for all the other metrics and expressions used in the metric specification. If you are only retrieving metrics and not performing any math expressions, do not specify anything for ReturnData. This sets it to its default (true).

expression str: The math expression to perform on the returned data, if this object is performing a math expression. This expression can use the Id of the other metrics to refer to those metrics, and can also use the Id of other expressions to use the result of those expressions. Conditional: Within each TargetTrackingMetricDataQuery object, you must specify either Expression or MetricStat, but not both.
id str: A short name that identifies the object's results in the response. This name must be unique among all MetricDataQuery objects specified for a single scaling policy. If you are performing math expressions on this set of data, this name represents that data and can serve as a variable in the mathematical expression. The valid characters are letters, numbers, and underscores. The first character must be a lowercase letter.
label str: A human-readable label for this metric or expression. This is especially useful if this is a math expression, so that you know what the value represents.
metric_stat ScalingPolicyTargetTrackingMetricStat: Information about the metric data to return. Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat, but not both.
return_data bool: Indicates whether to return the timestamps and raw data values of this metric. If you use any math expressions, specify true for this value for only the final math expression that the metric specification is based on. You must specify false for ReturnData for all the other metrics and expressions used in the metric specification. If you are only retrieving metrics and not performing any math expressions, do not specify anything for ReturnData. This sets it to its default (true).

expression String: The math expression to perform on the returned data, if this object is performing a math expression. This expression can use the Id of the other metrics to refer to those metrics, and can also use the Id of other expressions to use the result of those expressions. Conditional: Within each TargetTrackingMetricDataQuery object, you must specify either Expression or MetricStat, but not both.
id String: A short name that identifies the object's results in the response. This name must be unique among all MetricDataQuery objects specified for a single scaling policy. If you are performing math expressions on this set of data, this name represents that data and can serve as a variable in the mathematical expression. The valid characters are letters, numbers, and underscores. The first character must be a lowercase letter.
label String: A human-readable label for this metric or expression. This is especially useful if this is a math expression, so that you know what the value represents.
metricStat Property Map: Information about the metric data to return. Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat, but not both.
returnData Boolean: Indicates whether to return the timestamps and raw data values of this metric. If you use any math expressions, specify true for this value for only the final math expression that the metric specification is based on. You must specify false for ReturnData for all the other metrics and expressions used in the metric specification. If you are only retrieving metrics and not performing any math expressions, do not specify anything for ReturnData. This sets it to its default (true).

ScalingPolicyTargetTrackingMetricDimension, ScalingPolicyTargetTrackingMetricDimensionArgs

TargetTrackingMetricDimension specifies a name/value pair that is part of the identity of a CloudWatch metric for the Dimensions property of the AWS::ApplicationAutoScaling::ScalingPolicy TargetTrackingMetric property type. Duplicate dimensions are not allowed.

Name string: The name of the dimension.
Value string: The value of the dimension.

Name string: The name of the dimension.
Value string: The value of the dimension.

name String: The name of the dimension.
value String: The value of the dimension.

name string: The name of the dimension.
value string: The value of the dimension.

name str: The name of the dimension.
value str: The value of the dimension.

name String: The name of the dimension.
value String: The value of the dimension.

ScalingPolicyTargetTrackingMetricStat, ScalingPolicyTargetTrackingMetricStatArgs

This structure defines the CloudWatch metric to return, along with the statistic and unit. TargetTrackingMetricStat is a property of the AWS::ApplicationAutoScaling::ScalingPolicy TargetTrackingMetricDataQuery property type. For more information about the CloudWatch terminology below, see Amazon CloudWatch concepts in the Amazon CloudWatch User Guide.

Metric Pulumi.AwsNative.ApplicationAutoScaling.Inputs.ScalingPolicyTargetTrackingMetric: The CloudWatch metric to return, including the metric name, namespace, and dimensions. To get the exact metric name, namespace, and dimensions, inspect the Metric object that is returned by a call to ListMetrics.
Stat string: The statistic to return. It can include any CloudWatch statistic or extended statistic. For a list of valid values, see the table in Statistics in the Amazon CloudWatch User Guide. The most commonly used metric for scaling is Average.
Unit string: The unit to use for the returned data points. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference.

Metric ScalingPolicyTargetTrackingMetric: The CloudWatch metric to return, including the metric name, namespace, and dimensions. To get the exact metric name, namespace, and dimensions, inspect the Metric object that is returned by a call to ListMetrics.
Stat string: The statistic to return. It can include any CloudWatch statistic or extended statistic. For a list of valid values, see the table in Statistics in the Amazon CloudWatch User Guide. The most commonly used metric for scaling is Average.
Unit string: The unit to use for the returned data points. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference.

metric ScalingPolicyTargetTrackingMetric: The CloudWatch metric to return, including the metric name, namespace, and dimensions. To get the exact metric name, namespace, and dimensions, inspect the Metric object that is returned by a call to ListMetrics.
stat String: The statistic to return. It can include any CloudWatch statistic or extended statistic. For a list of valid values, see the table in Statistics in the Amazon CloudWatch User Guide. The most commonly used metric for scaling is Average.
unit String: The unit to use for the returned data points. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference.

metric ScalingPolicyTargetTrackingMetric: The CloudWatch metric to return, including the metric name, namespace, and dimensions. To get the exact metric name, namespace, and dimensions, inspect the Metric object that is returned by a call to ListMetrics.
stat string: The statistic to return. It can include any CloudWatch statistic or extended statistic. For a list of valid values, see the table in Statistics in the Amazon CloudWatch User Guide. The most commonly used metric for scaling is Average.
unit string: The unit to use for the returned data points. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference.

metric ScalingPolicyTargetTrackingMetric: The CloudWatch metric to return, including the metric name, namespace, and dimensions. To get the exact metric name, namespace, and dimensions, inspect the Metric object that is returned by a call to ListMetrics.
stat str: The statistic to return. It can include any CloudWatch statistic or extended statistic. For a list of valid values, see the table in Statistics in the Amazon CloudWatch User Guide. The most commonly used metric for scaling is Average.
unit str: The unit to use for the returned data points. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference.

metric Property Map: The CloudWatch metric to return, including the metric name, namespace, and dimensions. To get the exact metric name, namespace, and dimensions, inspect the Metric object that is returned by a call to ListMetrics.
stat String: The statistic to return. It can include any CloudWatch statistic or extended statistic. For a list of valid values, see the table in Statistics in the Amazon CloudWatch User Guide. The most commonly used metric for scaling is Average.
unit String: The unit to use for the returned data points. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference.

ScalingPolicyTargetTrackingScalingPolicyConfiguration, ScalingPolicyTargetTrackingScalingPolicyConfigurationArgs

TargetTrackingScalingPolicyConfiguration is a property of the AWS::ApplicationAutoScaling::ScalingPolicy resource that specifies a target tracking scaling policy configuration for Application Auto Scaling. Use a target tracking scaling policy to adjust the capacity of the specified scalable target in response to actual workloads, so that resource utilization remains at or near the target utilization value. For more information, see Target tracking scaling policies in the Application Auto Scaling User Guide.

TargetValue double: The target value for the metric. Although this property accepts numbers of type Double, it won't accept values that are either too small or too large. Values must be in the range of -2^360 to 2^360. The value must be a valid number based on the choice of metric. For example, if the metric is CPU utilization, then the target value is a percent value that represents how much of the CPU can be used before scaling out.
CustomizedMetricSpecification Pulumi.AwsNative.ApplicationAutoScaling.Inputs.ScalingPolicyCustomizedMetricSpecification: A customized metric. You can specify either a predefined metric or a customized metric.
DisableScaleIn bool: Indicates whether scale in by the target tracking scaling policy is disabled. If the value is true, scale in is disabled and the target tracking scaling policy won't remove capacity from the scalable target. Otherwise, scale in is enabled and the target tracking scaling policy can remove capacity from the scalable target. The default value is false.
PredefinedMetricSpecification Pulumi.AwsNative.ApplicationAutoScaling.Inputs.ScalingPolicyPredefinedMetricSpecification: A predefined metric. You can specify either a predefined metric or a customized metric.
ScaleInCooldown int: The amount of time, in seconds, after a scale-in activity completes before another scale-in activity can start. For more information and for default values, see Define cooldown periods in the Application Auto Scaling User Guide.
ScaleOutCooldown int: The amount of time, in seconds, to wait for a previous scale-out activity to take effect. For more information and for default values, see Define cooldown periods in the Application Auto Scaling User Guide.

TargetValue float64: The target value for the metric. Although this property accepts numbers of type Double, it won't accept values that are either too small or too large. Values must be in the range of -2^360 to 2^360. The value must be a valid number based on the choice of metric. For example, if the metric is CPU utilization, then the target value is a percent value that represents how much of the CPU can be used before scaling out.
CustomizedMetricSpecification ScalingPolicyCustomizedMetricSpecification: A customized metric. You can specify either a predefined metric or a customized metric.
DisableScaleIn bool: Indicates whether scale in by the target tracking scaling policy is disabled. If the value is true, scale in is disabled and the target tracking scaling policy won't remove capacity from the scalable target. Otherwise, scale in is enabled and the target tracking scaling policy can remove capacity from the scalable target. The default value is false.
PredefinedMetricSpecification ScalingPolicyPredefinedMetricSpecification: A predefined metric. You can specify either a predefined metric or a customized metric.
ScaleInCooldown int: The amount of time, in seconds, after a scale-in activity completes before another scale-in activity can start. For more information and for default values, see Define cooldown periods in the Application Auto Scaling User Guide.
ScaleOutCooldown int: The amount of time, in seconds, to wait for a previous scale-out activity to take effect. For more information and for default values, see Define cooldown periods in the Application Auto Scaling User Guide.

targetValue Double: The target value for the metric. Although this property accepts numbers of type Double, it won't accept values that are either too small or too large. Values must be in the range of -2^360 to 2^360. The value must be a valid number based on the choice of metric. For example, if the metric is CPU utilization, then the target value is a percent value that represents how much of the CPU can be used before scaling out.
customizedMetricSpecification ScalingPolicyCustomizedMetricSpecification: A customized metric. You can specify either a predefined metric or a customized metric.
disableScaleIn Boolean: Indicates whether scale in by the target tracking scaling policy is disabled. If the value is true, scale in is disabled and the target tracking scaling policy won't remove capacity from the scalable target. Otherwise, scale in is enabled and the target tracking scaling policy can remove capacity from the scalable target. The default value is false.
predefinedMetricSpecification ScalingPolicyPredefinedMetricSpecification: A predefined metric. You can specify either a predefined metric or a customized metric.
scaleInCooldown Integer: The amount of time, in seconds, after a scale-in activity completes before another scale-in activity can start. For more information and for default values, see Define cooldown periods in the Application Auto Scaling User Guide.
scaleOutCooldown Integer: The amount of time, in seconds, to wait for a previous scale-out activity to take effect. For more information and for default values, see Define cooldown periods in the Application Auto Scaling User Guide.

targetValue number: The target value for the metric. Although this property accepts numbers of type Double, it won't accept values that are either too small or too large. Values must be in the range of -2^360 to 2^360. The value must be a valid number based on the choice of metric. For example, if the metric is CPU utilization, then the target value is a percent value that represents how much of the CPU can be used before scaling out.
customizedMetricSpecification ScalingPolicyCustomizedMetricSpecification: A customized metric. You can specify either a predefined metric or a customized metric.
disableScaleIn boolean: Indicates whether scale in by the target tracking scaling policy is disabled. If the value is true, scale in is disabled and the target tracking scaling policy won't remove capacity from the scalable target. Otherwise, scale in is enabled and the target tracking scaling policy can remove capacity from the scalable target. The default value is false.
predefinedMetricSpecification ScalingPolicyPredefinedMetricSpecification: A predefined metric. You can specify either a predefined metric or a customized metric.
scaleInCooldown number: The amount of time, in seconds, after a scale-in activity completes before another scale-in activity can start. For more information and for default values, see Define cooldown periods in the Application Auto Scaling User Guide.
scaleOutCooldown number: The amount of time, in seconds, to wait for a previous scale-out activity to take effect. For more information and for default values, see Define cooldown periods in the Application Auto Scaling User Guide.

target_value float: The target value for the metric. Although this property accepts numbers of type Double, it won't accept values that are either too small or too large. Values must be in the range of -2^360 to 2^360. The value must be a valid number based on the choice of metric. For example, if the metric is CPU utilization, then the target value is a percent value that represents how much of the CPU can be used before scaling out.
customized_metric_specification ScalingPolicyCustomizedMetricSpecification: A customized metric. You can specify either a predefined metric or a customized metric.
disable_scale_in bool: Indicates whether scale in by the target tracking scaling policy is disabled. If the value is true, scale in is disabled and the target tracking scaling policy won't remove capacity from the scalable target. Otherwise, scale in is enabled and the target tracking scaling policy can remove capacity from the scalable target. The default value is false.
predefined_metric_specification ScalingPolicyPredefinedMetricSpecification: A predefined metric. You can specify either a predefined metric or a customized metric.
scale_in_cooldown int: The amount of time, in seconds, after a scale-in activity completes before another scale-in activity can start. For more information and for default values, see Define cooldown periods in the Application Auto Scaling User Guide.
scale_out_cooldown int: The amount of time, in seconds, to wait for a previous scale-out activity to take effect. For more information and for default values, see Define cooldown periods in the Application Auto Scaling User Guide.

targetValue Number: The target value for the metric. Although this property accepts numbers of type Double, it won't accept values that are either too small or too large. Values must be in the range of -2^360 to 2^360. The value must be a valid number based on the choice of metric. For example, if the metric is CPU utilization, then the target value is a percent value that represents how much of the CPU can be used before scaling out.
customizedMetricSpecification Property Map: A customized metric. You can specify either a predefined metric or a customized metric.
disableScaleIn Boolean: Indicates whether scale in by the target tracking scaling policy is disabled. If the value is true, scale in is disabled and the target tracking scaling policy won't remove capacity from the scalable target. Otherwise, scale in is enabled and the target tracking scaling policy can remove capacity from the scalable target. The default value is false.
predefinedMetricSpecification Property Map: A predefined metric. You can specify either a predefined metric or a customized metric.
scaleInCooldown Number: The amount of time, in seconds, after a scale-in activity completes before another scale-in activity can start. For more information and for default values, see Define cooldown periods in the Application Auto Scaling User Guide.
scaleOutCooldown Number: The amount of time, in seconds, to wait for a previous scale-out activity to take effect. For more information and for default values, see Define cooldown periods in the Application Auto Scaling User Guide.

Package Details

Repository: AWS Native pulumi/pulumi-aws-native
License: Apache-2.0

We recommend new projects start with resources from the AWS provider.

AWS Cloud Control v1.37.0 published on Wednesday, Oct 15, 2025 by Pulumi

pulumi/pulumi-aws-native

aws-native.applicationautoscaling.ScalingPolicy

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Create ScalingPolicy Resource

Constructor syntax

Parameters

ScalingPolicy Resource Properties

Inputs

Outputs

Supporting Types

ScalingPolicyCustomizedMetricSpecification, ScalingPolicyCustomizedMetricSpecificationArgs

ScalingPolicyMetricDimension, ScalingPolicyMetricDimensionArgs

ScalingPolicyPredefinedMetricSpecification, ScalingPolicyPredefinedMetricSpecificationArgs

ScalingPolicyPredictiveScalingCustomizedCapacityMetric, ScalingPolicyPredictiveScalingCustomizedCapacityMetricArgs

ScalingPolicyPredictiveScalingCustomizedLoadMetric, ScalingPolicyPredictiveScalingCustomizedLoadMetricArgs

ScalingPolicyPredictiveScalingCustomizedScalingMetric, ScalingPolicyPredictiveScalingCustomizedScalingMetricArgs

ScalingPolicyPredictiveScalingMetric, ScalingPolicyPredictiveScalingMetricArgs

ScalingPolicyPredictiveScalingMetricDataQuery, ScalingPolicyPredictiveScalingMetricDataQueryArgs

ScalingPolicyPredictiveScalingMetricDimension, ScalingPolicyPredictiveScalingMetricDimensionArgs

ScalingPolicyPredictiveScalingMetricSpecification, ScalingPolicyPredictiveScalingMetricSpecificationArgs

ScalingPolicyPredictiveScalingMetricStat, ScalingPolicyPredictiveScalingMetricStatArgs

ScalingPolicyPredictiveScalingPolicyConfiguration, ScalingPolicyPredictiveScalingPolicyConfigurationArgs

ScalingPolicyPredictiveScalingPredefinedLoadMetric, ScalingPolicyPredictiveScalingPredefinedLoadMetricArgs

ScalingPolicyPredictiveScalingPredefinedMetricPair, ScalingPolicyPredictiveScalingPredefinedMetricPairArgs

ScalingPolicyPredictiveScalingPredefinedScalingMetric, ScalingPolicyPredictiveScalingPredefinedScalingMetricArgs

ScalingPolicyStepAdjustment, ScalingPolicyStepAdjustmentArgs

ScalingPolicyStepScalingPolicyConfiguration, ScalingPolicyStepScalingPolicyConfigurationArgs

ScalingPolicyTargetTrackingMetric, ScalingPolicyTargetTrackingMetricArgs

ScalingPolicyTargetTrackingMetricDataQuery, ScalingPolicyTargetTrackingMetricDataQueryArgs

ScalingPolicyTargetTrackingMetricDimension, ScalingPolicyTargetTrackingMetricDimensionArgs

ScalingPolicyTargetTrackingMetricStat, ScalingPolicyTargetTrackingMetricStatArgs

ScalingPolicyTargetTrackingScalingPolicyConfiguration, ScalingPolicyTargetTrackingScalingPolicyConfigurationArgs

Package Details

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