scaling_policy#

State module for managing Amazon Application Autoscaling scaling policies.

async idem_aws.states.aws.application_autoscaling.scaling_policy.present(hub, ctx, name: str, policy_name: str, service_namespace: str, scaling_resource_id: str, scalable_dimension: str, policy_type: str, resource_id: str = None, step_scaling_policy_configuration: StepScalingPolicyConfiguration = None, target_tracking_scaling_policy_configuration: TargetTrackingScalingPolicyConfiguration = None) → Dict[str, Any][source]#

Creates or updates a scaling policy for an Application Auto Scaling scalable target.

Each scalable target is identified by a service namespace, resource ID, and scalable dimension. A scaling policy applies to the scalable target identified by those three attributes. You cannot create a scaling policy until you have registered the resource as a scalable target.

Multiple scaling policies can be in force at the same time for the same scalable target. You can have one or more target tracking scaling policies, one or more step scaling policies, or both. However, there is a chance that multiple policies could conflict, instructing the scalable target to scale out or in at the same time. Application Auto Scaling gives precedence to the policy that provides the largest capacity for both scale out and scale in. For example, if one policy increases capacity by 3, another policy increases capacity by 200 percent, and the current capacity is 10, Application Auto Scaling uses the policy with the highest calculated capacity (200% of 10 = 20) and scales out to 30.

We recommend caution, however, when using target tracking scaling policies with step scaling policies because conflicts between these policies can cause undesirable behavior. For example, if the step scaling policy initiates a scale-in activity before the target tracking policy is ready to scale in, the scale-in activity will not be blocked. After the scale-in activity completes, the target tracking policy could instruct the scalable target to scale out again.

For more information, see Target tracking scaling policies and Step scaling policies in the Application Auto Scaling User Guide.

Note

If a scalable target is deregistered, the scalable target is no longer available to execute scaling policies. Any scaling policies that were specified for the scalable target are deleted.

Parameters:

name (str) – An Idem name of the resource.
policy_name (str) – The name of the scaling policy.
service_namespace (str) – The namespace of the Amazon Web Services service that provides the resource. For a resource provided by your own application or service, use custom-resource instead.
scaling_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/default/sample-webapp.
- Spot Fleet - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE.
- EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0.
- AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet.
- DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table.
- DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index.
- Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example:cluster:my-db-cluster.
- SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering.
- Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository.
- Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE.
- Amazon Comprehend entity recognizer endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE.
- Lambda provisioned concurrency - The resource type is function and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST. Example: function:my-function:prod or function:my-function:1.
- Amazon Keyspaces table - The resource type is table and the unique identifier is the table name. Example: keyspace/mykeyspace/table/mytable.
- Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. Example: arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5.
- Amazon ElastiCache replication group - The resource type is replication-group and the unique identifier is the replication group name. Example: replication-group/mycluster.
- Neptune cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:mycluster.
scalable_dimension (str) –
The scalable dimension. This string consists of the service namespace, resource type, and scaling property.
- ecs:service:DesiredCount - The desired task count of an ECS service.
- elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group.
- ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet.
- appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet.
- dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table.
- dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table.
- dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index.
- dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index.
- rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL- compatible edition.
- sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for an SageMaker model endpoint variant.
- custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service.
- comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint.
- comprehend:entity-recognizer-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend entity recognizer endpoint.
- lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function.
- cassandra:table:ReadCapacityUnits - The provisioned read capacity for an Amazon Keyspaces table.
- cassandra:table:WriteCapacityUnits - The provisioned write capacity for an Amazon Keyspaces table.
- kafka:broker-storage:VolumeSize - The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster.
- elasticache:replication-group:NodeGroups - The number of node groups for an Amazon ElastiCache replication group.
- elasticache:replication-group:Replicas - The number of replicas per node group for an Amazon ElastiCache replication group.
- neptune:cluster:ReadReplicaCount - The count of read replicas in an Amazon Neptune DB cluster.
policy_type (str) –
The policy type. This parameter is required if you are creating a scaling policy.

The following policy types are supported:
- TargetTrackingScaling — Not supported for Amazon EMR
- StepScaling — Not supported for DynamoDB, Amazon Comprehend, Lambda, Amazon Keyspaces, Amazon MSK, Amazon ElastiCache, or Neptune.
For more information, see Target tracking scaling policies and Step scaling policies in the Application Auto Scaling User Guide. Defaults to None.
resource_id (str, Optional) – An identifier of the resource in the provider. Defaults to None.
step_scaling_policy_configuration (dict[str, Any], Optional) –
A step scaling policy. This parameter is required if you are creating a policy and the policy type is StepScaling. Defaults to None.
- AdjustmentType (str, Optional):
  Specifies how the ScalingAdjustment value in a StepAdjustment is interpreted (for example, an absolute number or a percentage). The valid values are ChangeInCapacity, ExactCapacity, and PercentChangeInCapacity. AdjustmentType is required if you are adding a new step scaling policy configuration.
- StepAdjustments (list[dict[str, Any]], Optional):
  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.
  - MetricIntervalLowerBound (float, Optional):
    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.
  - MetricIntervalUpperBound (float, Optional):
    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. The upper bound must be greater than the lower bound.
  - ScalingAdjustment (int):
    The amount by which to scale, based on the specified adjustment type. A positive value adds to the current capacity while a negative number removes from the current capacity. For exact capacity, you must specify a positive value.
- MinAdjustmentMagnitude (int, Optional):
  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.
- Cooldown (int, Optional):
  The amount of time, in seconds, to wait for a previous scaling activity to take effect. With scale-out policies, the intention is to continuously (but not excessively) scale out. After Application Auto Scaling successfully scales out using a step scaling policy, it starts to calculate the cooldown time. The scaling policy won’t increase the desired capacity again unless either a larger scale out is triggered or the cooldown period ends. While the cooldown period is in effect, capacity added by the initiating scale-out activity is calculated as part of the desired capacity for the next scale-out activity. For example, when an alarm triggers a step scaling policy to increase the capacity by 2, the scaling activity completes successfully, and a cooldown period starts. If the alarm triggers again during the cooldown period but at a more aggressive step adjustment of 3, the previous increase of 2 is considered part of the current capacity. Therefore, only 1 is added to the capacity. With scale-in policies, the intention is to scale in conservatively to protect your application’s availability, so scale-in activities are blocked until the cooldown period has expired. However, if another alarm triggers a scale- out activity during the cooldown period after a scale-in activity, Application Auto Scaling scales out the target immediately. In this case, the cooldown period for the scale-in activity stops and doesn’t complete.
  Application Auto Scaling provides a default value of 600 for Amazon ElastiCache replication groups and a default value of 300 for the following scalable targets:
  
  AppStream 2.0 fleets
  
  Aurora DB clusters
  
  ECS services
  
  EMR clusters
  
  Neptune clusters
  
  SageMaker endpoint variants
  
  Spot Fleets
  
  Custom resources
  
  For all other scalable targets, the default value is 0:
  
  Amazon Comprehend document classification and entity recognizer endpoints
  
  DynamoDB tables and global secondary indexes
  
  Amazon Keyspaces tables
  
  Lambda provisioned concurrency
  
  Amazon MSK broker storage
- MetricAggregationType (str, Optional):
  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.
target_tracking_scaling_policy_configuration (dict[str, Any], Optional) –
A target tracking scaling policy. Includes support for predefined or customized metrics. This parameter is required if you are creating a policy and the policy type is TargetTrackingScaling. Defaults to None.
- TargetValue (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.
- PredefinedMetricSpecification (dict[str, Any], Optional):
  A predefined metric. You can specify either a predefined metric or a customized metric.
  - PredefinedMetricType (str):
    The metric type. The ALBRequestCountPerTarget metric type applies only to Spot Fleet requests and ECS services.
  - ResourceLabel (str, Optional):
    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 request 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/<load-balancer-name>/<load-balancer-id> is the final portion of the load balancer ARN
    
    targetgroup/<target-group-name>/<target-group-id> 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.
- CustomizedMetricSpecification (dict[str, Any], Optional):
  A customized metric. You can specify either a predefined metric or a customized metric.
  - MetricName (str): The name of the metric.
  - Namespace (str): The namespace of the metric.
  - Dimensions (List[Dict[str, Any]], Optional): The dimensions of the metric.
    
    Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy.
    
    Name (str): The name of the dimension.
    
    Value (str): The value of the dimension.
  - Statistic (str): The statistic of the metric.
  - Unit (str, Optional): The unit of the metric.
- ScaleOutCooldown (int, Optional):
  The amount of time, in seconds, to wait for a previous scale-out activity to take effect.
  
  With the scale-out cooldown period, the intention is to continuously (but not excessively) scale out. After Application Auto Scaling successfully scales out using a target tracking scaling policy, it starts to calculate the cooldown time. The scaling policy won’t increase the desired capacity again unless either a larger scale out is triggered or the cooldown period ends. While the cooldown period is in effect, the capacity added by the initiating scale-out activity is calculated as part of the desired capacity for the next scale-out activity.
  Application Auto Scaling provides a default value of 600 for Amazon ElastiCache replication groups and a default value of 300 for the following scalable targets:
  
  AppStream 2.0 fleets
  
  Aurora DB clusters
  
  ECS services
  
  EMR clusters
  
  Neptune clusters
  
  SageMaker endpoint variants
  
  Spot Fleets
  
  Custom resources
  
  For all other scalable targets, the default value is 0:
  
  Amazon Comprehend document classification and entity recognizer endpoints
  
  DynamoDB tables and global secondary indexes
  
  Amazon Keyspaces tables
  
  Lambda provisioned concurrency
  
  Amazon MSK broker storage
- ScaleInCooldown (int, Optional):
  The amount of time, in seconds, after a scale-in activity completes before another scale-in activity can start.
  
  With the scale-in cooldown period, the intention is to scale in conservatively to protect your application’s availability, so scale-in activities are blocked until the cooldown period has expired. However, if another alarm triggers a scale-out activity during the scale-in cooldown period, Application Auto Scaling scales out the target immediately. In this case, the scale-in cooldown period stops and doesn’t complete.
  Application Auto Scaling provides a default value of 600 for Amazon ElastiCache replication groups and a default value of 300 for the following scalable targets:
  
  AppStream 2.0 fleets
  
  Aurora DB clusters
  
  ECS services
  
  EMR clusters
  
  Neptune clusters
  
  SageMaker endpoint variants
  
  Spot Fleets
  
  Custom resources
  
  For all other scalable targets, the default value is 0:
  
  Amazon Comprehend document classification and entity recognizer endpoints
  
  DynamoDB tables and global secondary indexes
  
  Amazon Keyspaces tables
  
  Lambda provisioned concurrency
  
  Amazon MSK broker storage
- DisableScaleIn (bool, Optional):
  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.

Request Syntax:

[scaling_policy_name]:
  aws.application_autoscaling.scaling_policy.present:
    - name: 'string'
    - policy_name: 'string'
    - service_namespace: 'string'
    - scalable_dimension: 'string'
    - scaling_resource_id: 'string'
    - policy_type: 'string'
    - step_scaling_policy_configuration:
        AdjustmentType: 'string'
        StepAdjustments:
            - MetricIntervalLowerBound: 'int'
              MetricIntervalUpperBound: 'int'
              ScalingAdjustment: 'int'
            - MetricIntervalLowerBound: 'int'
              MetricIntervalUpperBound: 'int'
              ScalingAdjustment: 'int'
            - MetricIntervalLowerBound: 'int'
              ScalingAdjustment: 'int'
        MinAdjustmentMagnitude: 'int'
        Cooldown: 'int'
        MetricAggregationType: 'string'

Returns:: Dict[str, Any]

Examples

rds_scaling_policy_name:
  aws.application_autoscaling.scaling_policy.present:
    - name: rds_scaling_policy
    - policy_name: rds_scaling_policy
    - service_namespace: rds
    - scalable_dimension: rds:cluster:ReadReplicaCount
    - scaling_resource_id: idem-test-rds-aurora-table
    - policy_type: StepScaling
    - step_scaling_policy_configuration:
        AdjustmentType: PercentChangeInCapacity
        StepAdjustments:
            - MetricIntervalLowerBound: 0
              MetricIntervalUpperBound: 15
              ScalingAdjustment: 1
            - MetricIntervalLowerBound: 15
              MetricIntervalUpperBound: 25
              ScalingAdjustment: 2
            - MetricIntervalLowerBound: 25
              ScalingAdjustment: 3
        MinAdjustmentMagnitude: 1
        Cooldown: 20
        MetricAggregationType: Average

async idem_aws.states.aws.application_autoscaling.scaling_policy.absent(hub, ctx, name: str, scaling_resource_id: str = None, policy_name: str = None, service_namespace: str = None, scalable_dimension: str = None, resource_id: str = None) → Dict[str, Any][source]#

Deletes the specified scaling policy for an Application Auto Scaling scalable target.

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

Parameters:

name (str) – An Idem name of the resource.
policy_name (str, Optional) – The name of the scaling policy.
service_namespace (str, Optional) – The namespace of the Amazon Web Services service that provides the resource. For a resource provided by your own application or service, use custom-resource instead.
scaling_resource_id (str, Optional) –
The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier.
- ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp.
- Spot Fleet - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE.
- EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0.
- AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet.
- DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table.
- DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index.
- Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster.
- SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering.
- Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository.
- Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE.
- Amazon Comprehend entity recognizer endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE.
- Lambda provisioned concurrency - The resource type is function and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST. Example: function:my-function:prod or function:my-function:1.
- Amazon Keyspaces table - The resource type is table and the unique identifier is the table name. Example: keyspace/mykeyspace/table/mytable.
- Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. Example: arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5.
- Amazon ElastiCache replication group - The resource type is replication-group and the unique identifier is the replication group name. Example: replication-group/mycluster.
- Neptune cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:mycluster.
scalable_dimension (str, Optional) –
The scalable dimension. This string consists of the service namespace, resource type, and scaling property.
- ecs:service:DesiredCount - The desired task count of an ECS service.
- elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group.
- ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet.
- appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet.
- dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table.
- dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table.
- dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index.
- dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index.
- rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL- compatible edition.
- sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for an SageMaker model endpoint variant.
- custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service.
- comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint.
- comprehend:entity-recognizer- endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend entity recognizer endpoint.
- lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function.
- cassandra:table:ReadCapacityUnits - The provisioned read capacity for an Amazon Keyspaces table.
- cassandra:table:WriteCapacityUnits - The provisioned write capacity for an Amazon Keyspaces table.
- kafka:broker-storage:VolumeSize - The provisioned volume size(in GiB) for brokers in an Amazon MSK cluster.
- elasticache:replication-group:NodeGroups - The number of node groups for an Amazon ElastiCache replication group.
- elasticache:replication-group:Replicas - The number of replicas per node group for an Amazon ElastiCache replication group.
- neptune:cluster:ReadReplicaCount - The count of read replicas in an Amazon Neptune DB cluster.
resource_id (str, Optional) – An identifier of the resource in the provider.

Request Syntax:

[scaling_policy_name]:
  aws.application_autoscaling.scaling_policy.absent:
    - name: 'string'
    - policy_name: 'string'
    - service_namespace: 'string'
    - scalable_dimension: 'string'
    - scaling_resource_id: 'string'

Returns:: Dict[str, Any]

Examples

rds_scaling_policy_name:
  aws.application_autoscaling.scaling_policy.absent:
    - name: rds_scaling_policy
    - policy_name: rds_scaling_policy
    - service_namespace: rds
    - scalable_dimension: rds:cluster:ReadReplicaCount
    - scaling_resource_id: idem-test-rds-aurora-table

async idem_aws.states.aws.application_autoscaling.scaling_policy.describe(hub, ctx) → Dict[str, Dict[str, Any]][source]#

Describe the resource in a way that can be recreated/managed with the corresponding “present” function.

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

Returns:: Dict[str, Dict[str, Any]]

Examples

$ idem describe aws.application_autoscaling.scaling_policy