2024/11/22 - Application Auto Scaling - 1 new3 updated api methods
Changes Application Auto Scaling now supports Predictive Scaling to proactively increase the desired capacity ahead of predicted demand, ensuring improved availability and responsiveness for customers' applications. This feature is currently only made available for Amazon ECS Service scalable targets.
Retrieves the forecast data for a predictive scaling policy.
Load forecasts are predictions of the hourly load values using historical load data from CloudWatch and an analysis of historical trends. Capacity forecasts are represented as predicted values for the minimum capacity that is needed on an hourly basis, based on the hourly load forecast.
A minimum of 24 hours of data is required to create the initial forecasts. However, having a full 14 days of historical data results in more accurate forecasts.
See also: AWS API Documentation
Request Syntax
client.get_predictive_scaling_forecast(
ServiceNamespace='ecs'|'elasticmapreduce'|'ec2'|'appstream'|'dynamodb'|'rds'|'sagemaker'|'custom-resource'|'comprehend'|'lambda'|'cassandra'|'kafka'|'elasticache'|'neptune'|'workspaces',
ResourceId='string',
ScalableDimension='ecs:service:DesiredCount'|'ec2:spot-fleet-request:TargetCapacity'|'elasticmapreduce:instancegroup:InstanceCount'|'appstream:fleet:DesiredCapacity'|'dynamodb:table:ReadCapacityUnits'|'dynamodb:table:WriteCapacityUnits'|'dynamodb:index:ReadCapacityUnits'|'dynamodb:index:WriteCapacityUnits'|'rds:cluster:ReadReplicaCount'|'sagemaker:variant:DesiredInstanceCount'|'custom-resource:ResourceType:Property'|'comprehend:document-classifier-endpoint:DesiredInferenceUnits'|'comprehend:entity-recognizer-endpoint:DesiredInferenceUnits'|'lambda:function:ProvisionedConcurrency'|'cassandra:table:ReadCapacityUnits'|'cassandra:table:WriteCapacityUnits'|'kafka:broker-storage:VolumeSize'|'elasticache:replication-group:NodeGroups'|'elasticache:replication-group:Replicas'|'neptune:cluster:ReadReplicaCount'|'sagemaker:variant:DesiredProvisionedConcurrency'|'sagemaker:inference-component:DesiredCopyCount'|'workspaces:workspacespool:DesiredUserSessions',
PolicyName='string',
StartTime=datetime(2015, 1, 1),
EndTime=datetime(2015, 1, 1)
)
string
[REQUIRED]
The namespace of the Amazon Web Services service that provides the resource. For a resource provided by your own application or service, use custom-resource instead.
string
[REQUIRED]
The identifier of the resource.
string
[REQUIRED]
The scalable dimension.
string
[REQUIRED]
The name of the policy.
datetime
[REQUIRED]
The inclusive start time of the time range for the forecast data to get. At most, the date and time can be one year before the current date and time
datetime
[REQUIRED]
The exclusive end time of the time range for the forecast data to get. The maximum time duration between the start and end time is 30 days.
dict
Response Syntax
{
'LoadForecast': [
{
'Timestamps': [
datetime(2015, 1, 1),
],
'Values': [
123.0,
],
'MetricSpecification': {
'TargetValue': 123.0,
'PredefinedMetricPairSpecification': {
'PredefinedMetricType': 'string',
'ResourceLabel': 'string'
},
'PredefinedScalingMetricSpecification': {
'PredefinedMetricType': 'string',
'ResourceLabel': 'string'
},
'PredefinedLoadMetricSpecification': {
'PredefinedMetricType': 'string',
'ResourceLabel': 'string'
},
'CustomizedScalingMetricSpecification': {
'MetricDataQueries': [
{
'Id': 'string',
'Expression': 'string',
'MetricStat': {
'Metric': {
'Dimensions': [
{
'Name': 'string',
'Value': 'string'
},
],
'MetricName': 'string',
'Namespace': 'string'
},
'Stat': 'string',
'Unit': 'string'
},
'Label': 'string',
'ReturnData': True|False
},
]
},
'CustomizedLoadMetricSpecification': {
'MetricDataQueries': [
{
'Id': 'string',
'Expression': 'string',
'MetricStat': {
'Metric': {
'Dimensions': [
{
'Name': 'string',
'Value': 'string'
},
],
'MetricName': 'string',
'Namespace': 'string'
},
'Stat': 'string',
'Unit': 'string'
},
'Label': 'string',
'ReturnData': True|False
},
]
},
'CustomizedCapacityMetricSpecification': {
'MetricDataQueries': [
{
'Id': 'string',
'Expression': 'string',
'MetricStat': {
'Metric': {
'Dimensions': [
{
'Name': 'string',
'Value': 'string'
},
],
'MetricName': 'string',
'Namespace': 'string'
},
'Stat': 'string',
'Unit': 'string'
},
'Label': 'string',
'ReturnData': True|False
},
]
}
}
},
],
'CapacityForecast': {
'Timestamps': [
datetime(2015, 1, 1),
],
'Values': [
123.0,
]
},
'UpdateTime': datetime(2015, 1, 1)
}
Response Structure
(dict) --
LoadForecast (list) --
The load forecast.
(dict) --
A GetPredictiveScalingForecast call returns the load forecast for a predictive scaling policy. This structure includes the data points for that load forecast, along with the timestamps of those data points and the metric specification.
Timestamps (list) --
The timestamps for the data points, in UTC format.
(datetime) --
Values (list) --
The values of the data points.
(float) --
MetricSpecification (dict) --
The metric specification for the load forecast.
TargetValue (float) --
Specifies the target utilization.
PredefinedMetricPairSpecification (dict) --
The predefined metric pair specification that determines the appropriate scaling metric and load metric to use.
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.
PredefinedScalingMetricSpecification (dict) --
The predefined scaling metric specification.
PredefinedMetricType (string) --
The metric type.
ResourceLabel (string) --
A label that uniquely identifies a specific target group from which to determine the average request count.
PredefinedLoadMetricSpecification (dict) --
The predefined load metric specification.
PredefinedMetricType (string) --
The metric type.
ResourceLabel (string) --
A label that uniquely identifies a target group.
CustomizedScalingMetricSpecification (dict) --
The customized scaling metric specification.
MetricDataQueries (list) --
One or more metric data queries to provide data points for a metric specification.
(dict) --
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.
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.
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.
MetricStat (dict) --
Information about the metric data to return.
Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat, but not both.
Metric (dict) --
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.
Dimensions (list) --
Describes the dimensions of the metric.
(dict) --
Describes the dimension of a metric.
Name (string) --
The name of the dimension.
Value (string) --
The value of the dimension.
MetricName (string) --
The name of the metric.
Namespace (string) --
The namespace of the metric.
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.
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.
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).
CustomizedLoadMetricSpecification (dict) --
The customized load metric specification.
MetricDataQueries (list) --
One or more metric data queries to provide data points for a metric specification.
(dict) --
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.
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.
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.
MetricStat (dict) --
Information about the metric data to return.
Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat, but not both.
Metric (dict) --
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.
Dimensions (list) --
Describes the dimensions of the metric.
(dict) --
Describes the dimension of a metric.
Name (string) --
The name of the dimension.
Value (string) --
The value of the dimension.
MetricName (string) --
The name of the metric.
Namespace (string) --
The namespace of the metric.
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.
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.
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).
CustomizedCapacityMetricSpecification (dict) --
The customized capacity metric specification.
MetricDataQueries (list) --
One or more metric data queries to provide data points for a metric specification.
(dict) --
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.
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.
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.
MetricStat (dict) --
Information about the metric data to return.
Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat, but not both.
Metric (dict) --
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.
Dimensions (list) --
Describes the dimensions of the metric.
(dict) --
Describes the dimension of a metric.
Name (string) --
The name of the dimension.
Value (string) --
The value of the dimension.
MetricName (string) --
The name of the metric.
Namespace (string) --
The namespace of the metric.
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.
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.
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).
CapacityForecast (dict) --
The capacity forecast.
Timestamps (list) --
The timestamps for the data points, in UTC format.
(datetime) --
Values (list) --
The values of the data points.
(float) --
UpdateTime (datetime) --
The time the forecast was made.
{'ScalableTargets': {'PredictedCapacity': 'integer'}}
Gets information about the scalable targets in the specified namespace.
You can filter the results using ResourceIds and ScalableDimension.
See also: AWS API Documentation
Request Syntax
client.describe_scalable_targets(
ServiceNamespace='ecs'|'elasticmapreduce'|'ec2'|'appstream'|'dynamodb'|'rds'|'sagemaker'|'custom-resource'|'comprehend'|'lambda'|'cassandra'|'kafka'|'elasticache'|'neptune'|'workspaces',
ResourceIds=[
'string',
],
ScalableDimension='ecs:service:DesiredCount'|'ec2:spot-fleet-request:TargetCapacity'|'elasticmapreduce:instancegroup:InstanceCount'|'appstream:fleet:DesiredCapacity'|'dynamodb:table:ReadCapacityUnits'|'dynamodb:table:WriteCapacityUnits'|'dynamodb:index:ReadCapacityUnits'|'dynamodb:index:WriteCapacityUnits'|'rds:cluster:ReadReplicaCount'|'sagemaker:variant:DesiredInstanceCount'|'custom-resource:ResourceType:Property'|'comprehend:document-classifier-endpoint:DesiredInferenceUnits'|'comprehend:entity-recognizer-endpoint:DesiredInferenceUnits'|'lambda:function:ProvisionedConcurrency'|'cassandra:table:ReadCapacityUnits'|'cassandra:table:WriteCapacityUnits'|'kafka:broker-storage:VolumeSize'|'elasticache:replication-group:NodeGroups'|'elasticache:replication-group:Replicas'|'neptune:cluster:ReadReplicaCount'|'sagemaker:variant:DesiredProvisionedConcurrency'|'sagemaker:inference-component:DesiredCopyCount'|'workspaces:workspacespool:DesiredUserSessions',
MaxResults=123,
NextToken='string'
)
string
[REQUIRED]
The namespace of the Amazon Web Services service that provides the resource. For a resource provided by your own application or service, use custom-resource instead.
list
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/my-cluster/my-service.
Spot Fleet - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE.
EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0.
AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet.
DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table.
DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index.
Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster.
SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering.
Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository.
Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE.
Amazon Comprehend entity recognizer endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE.
Lambda provisioned concurrency - The resource type is function and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST. Example: function:my-function:prod or function:my-function:1.
Amazon Keyspaces table - The resource type is table and the unique identifier is the table name. Example: keyspace/mykeyspace/table/mytable.
Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. Example: arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5.
Amazon ElastiCache replication group - The resource type is replication-group and the unique identifier is the replication group name. Example: replication-group/mycluster.
Neptune cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:mycluster.
SageMaker serverless endpoint - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering.
SageMaker inference component - The resource type is inference-component and the unique identifier is the resource ID. Example: inference-component/my-inference-component.
Pool of WorkSpaces - The resource type is workspacespool and the unique identifier is the pool ID. Example: workspacespool/wspool-123456.
(string) --
string
The scalable dimension associated with the scalable target. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID.
ecs:service:DesiredCount - The task count of an ECS service.
elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group.
ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet.
appstream:fleet:DesiredCapacity - The capacity of an AppStream 2.0 fleet.
dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table.
dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table.
dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index.
dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index.
rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for a SageMaker model endpoint variant.
custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service.
comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint.
comprehend:entity-recognizer-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend entity recognizer endpoint.
lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function.
cassandra:table:ReadCapacityUnits - The provisioned read capacity for an Amazon Keyspaces table.
cassandra:table:WriteCapacityUnits - The provisioned write capacity for an Amazon Keyspaces table.
kafka:broker-storage:VolumeSize - The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster.
elasticache:replication-group:NodeGroups - The number of node groups for an Amazon ElastiCache replication group.
elasticache:replication-group:Replicas - The number of replicas per node group for an Amazon ElastiCache replication group.
neptune:cluster:ReadReplicaCount - The count of read replicas in an Amazon Neptune DB cluster.
sagemaker:variant:DesiredProvisionedConcurrency - The provisioned concurrency for a SageMaker serverless endpoint.
sagemaker:inference-component:DesiredCopyCount - The number of copies across an endpoint for a SageMaker inference component.
workspaces:workspacespool:DesiredUserSessions - The number of user sessions for the WorkSpaces in the pool.
integer
The maximum number of scalable targets. This value can be between 1 and 50. The default value is 50.
If this parameter is used, the operation returns up to MaxResults results at a time, along with a NextToken value. To get the next set of results, include the NextToken value in a subsequent call. If this parameter is not used, the operation returns up to 50 results and a NextToken value, if applicable.
string
The token for the next set of results.
dict
Response Syntax
{
'ScalableTargets': [
{
'ServiceNamespace': 'ecs'|'elasticmapreduce'|'ec2'|'appstream'|'dynamodb'|'rds'|'sagemaker'|'custom-resource'|'comprehend'|'lambda'|'cassandra'|'kafka'|'elasticache'|'neptune'|'workspaces',
'ResourceId': 'string',
'ScalableDimension': 'ecs:service:DesiredCount'|'ec2:spot-fleet-request:TargetCapacity'|'elasticmapreduce:instancegroup:InstanceCount'|'appstream:fleet:DesiredCapacity'|'dynamodb:table:ReadCapacityUnits'|'dynamodb:table:WriteCapacityUnits'|'dynamodb:index:ReadCapacityUnits'|'dynamodb:index:WriteCapacityUnits'|'rds:cluster:ReadReplicaCount'|'sagemaker:variant:DesiredInstanceCount'|'custom-resource:ResourceType:Property'|'comprehend:document-classifier-endpoint:DesiredInferenceUnits'|'comprehend:entity-recognizer-endpoint:DesiredInferenceUnits'|'lambda:function:ProvisionedConcurrency'|'cassandra:table:ReadCapacityUnits'|'cassandra:table:WriteCapacityUnits'|'kafka:broker-storage:VolumeSize'|'elasticache:replication-group:NodeGroups'|'elasticache:replication-group:Replicas'|'neptune:cluster:ReadReplicaCount'|'sagemaker:variant:DesiredProvisionedConcurrency'|'sagemaker:inference-component:DesiredCopyCount'|'workspaces:workspacespool:DesiredUserSessions',
'MinCapacity': 123,
'MaxCapacity': 123,
'PredictedCapacity': 123,
'RoleARN': 'string',
'CreationTime': datetime(2015, 1, 1),
'SuspendedState': {
'DynamicScalingInSuspended': True|False,
'DynamicScalingOutSuspended': True|False,
'ScheduledScalingSuspended': True|False
},
'ScalableTargetARN': 'string'
},
],
'NextToken': 'string'
}
Response Structure
(dict) --
ScalableTargets (list) --
The scalable targets that match the request parameters.
(dict) --
Represents a scalable target.
ServiceNamespace (string) --
The namespace of the Amazon Web Services service that provides the resource, or a custom-resource.
ResourceId (string) --
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/my-cluster/my-service.
Spot Fleet - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE.
EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0.
AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet.
DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table.
DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index.
Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster.
SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering.
Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository.
Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE.
Amazon Comprehend entity recognizer endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE.
Lambda provisioned concurrency - The resource type is function and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST. Example: function:my-function:prod or function:my-function:1.
Amazon Keyspaces table - The resource type is table and the unique identifier is the table name. Example: keyspace/mykeyspace/table/mytable.
Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. Example: arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5.
Amazon ElastiCache replication group - The resource type is replication-group and the unique identifier is the replication group name. Example: replication-group/mycluster.
Neptune cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:mycluster.
SageMaker serverless endpoint - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering.
SageMaker inference component - The resource type is inference-component and the unique identifier is the resource ID. Example: inference-component/my-inference-component.
Pool of WorkSpaces - The resource type is workspacespool and the unique identifier is the pool ID. Example: workspacespool/wspool-123456.
ScalableDimension (string) --
The scalable dimension associated with the scalable target. This string consists of the service namespace, resource type, and scaling property.
ecs:service:DesiredCount - The task count of an ECS service.
elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group.
ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet.
appstream:fleet:DesiredCapacity - The capacity of an AppStream 2.0 fleet.
dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table.
dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table.
dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index.
dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index.
rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for a SageMaker model endpoint variant.
custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service.
comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint.
comprehend:entity-recognizer-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend entity recognizer endpoint.
lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function.
cassandra:table:ReadCapacityUnits - The provisioned read capacity for an Amazon Keyspaces table.
cassandra:table:WriteCapacityUnits - The provisioned write capacity for an Amazon Keyspaces table.
kafka:broker-storage:VolumeSize - The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster.
elasticache:replication-group:NodeGroups - The number of node groups for an Amazon ElastiCache replication group.
elasticache:replication-group:Replicas - The number of replicas per node group for an Amazon ElastiCache replication group.
neptune:cluster:ReadReplicaCount - The count of read replicas in an Amazon Neptune DB cluster.
sagemaker:variant:DesiredProvisionedConcurrency - The provisioned concurrency for a SageMaker serverless endpoint.
sagemaker:inference-component:DesiredCopyCount - The number of copies across an endpoint for a SageMaker inference component.
workspaces:workspacespool:DesiredUserSessions - The number of user sessions for the WorkSpaces in the pool.
MinCapacity (integer) --
The minimum value to scale to in response to a scale-in activity.
MaxCapacity (integer) --
The maximum value to scale to in response to a scale-out activity.
PredictedCapacity (integer) --
The predicted capacity of the scalable target.
RoleARN (string) --
The ARN of an IAM role that allows Application Auto Scaling to modify the scalable target on your behalf.
CreationTime (datetime) --
The Unix timestamp for when the scalable target was created.
SuspendedState (dict) --
Specifies whether the scaling activities for a scalable target are in a suspended state.
DynamicScalingInSuspended (boolean) --
Whether scale in by a target tracking scaling policy or a step scaling policy is suspended. Set the value to true if you don't want Application Auto Scaling to remove capacity when a scaling policy is triggered. The default is false.
DynamicScalingOutSuspended (boolean) --
Whether scale out by a target tracking scaling policy or a step scaling policy is suspended. Set the value to true if you don't want Application Auto Scaling to add capacity when a scaling policy is triggered. The default is false.
ScheduledScalingSuspended (boolean) --
Whether scheduled scaling is suspended. Set the value to true if you don't want Application Auto Scaling to add or remove capacity by initiating scheduled actions. The default is false.
ScalableTargetARN (string) --
The ARN of the scalable target.
NextToken (string) --
The token required to get the next set of results. This value is null if there are no more results to return.
{'ScalingPolicies': {'PolicyType': {'PredictiveScaling'},
'PredictiveScalingPolicyConfiguration': {'MaxCapacityBreachBehavior': 'HonorMaxCapacity '
'| '
'IncreaseMaxCapacity',
'MaxCapacityBuffer': 'integer',
'MetricSpecifications': [{'CustomizedCapacityMetricSpecification': {'MetricDataQueries': [{'Expression': 'string',
'Id': 'string',
'Label': 'string',
'MetricStat': {'Metric': {'Dimensions': [{'Name': 'string',
'Value': 'string'}],
'MetricName': 'string',
'Namespace': 'string'},
'Stat': 'string',
'Unit': 'string'},
'ReturnData': 'boolean'}]},
'CustomizedLoadMetricSpecification': {'MetricDataQueries': [{'Expression': 'string',
'Id': 'string',
'Label': 'string',
'MetricStat': {'Metric': {'Dimensions': [{'Name': 'string',
'Value': 'string'}],
'MetricName': 'string',
'Namespace': 'string'},
'Stat': 'string',
'Unit': 'string'},
'ReturnData': 'boolean'}]},
'CustomizedScalingMetricSpecification': {'MetricDataQueries': [{'Expression': 'string',
'Id': 'string',
'Label': 'string',
'MetricStat': {'Metric': {'Dimensions': [{'Name': 'string',
'Value': 'string'}],
'MetricName': 'string',
'Namespace': 'string'},
'Stat': 'string',
'Unit': 'string'},
'ReturnData': 'boolean'}]},
'PredefinedLoadMetricSpecification': {'PredefinedMetricType': 'string',
'ResourceLabel': 'string'},
'PredefinedMetricPairSpecification': {'PredefinedMetricType': 'string',
'ResourceLabel': 'string'},
'PredefinedScalingMetricSpecification': {'PredefinedMetricType': 'string',
'ResourceLabel': 'string'},
'TargetValue': 'double'}],
'Mode': 'ForecastOnly '
'| '
'ForecastAndScale',
'SchedulingBufferTime': 'integer'}}}
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.
See also: AWS API Documentation
Request Syntax
client.describe_scaling_policies(
PolicyNames=[
'string',
],
ServiceNamespace='ecs'|'elasticmapreduce'|'ec2'|'appstream'|'dynamodb'|'rds'|'sagemaker'|'custom-resource'|'comprehend'|'lambda'|'cassandra'|'kafka'|'elasticache'|'neptune'|'workspaces',
ResourceId='string',
ScalableDimension='ecs:service:DesiredCount'|'ec2:spot-fleet-request:TargetCapacity'|'elasticmapreduce:instancegroup:InstanceCount'|'appstream:fleet:DesiredCapacity'|'dynamodb:table:ReadCapacityUnits'|'dynamodb:table:WriteCapacityUnits'|'dynamodb:index:ReadCapacityUnits'|'dynamodb:index:WriteCapacityUnits'|'rds:cluster:ReadReplicaCount'|'sagemaker:variant:DesiredInstanceCount'|'custom-resource:ResourceType:Property'|'comprehend:document-classifier-endpoint:DesiredInferenceUnits'|'comprehend:entity-recognizer-endpoint:DesiredInferenceUnits'|'lambda:function:ProvisionedConcurrency'|'cassandra:table:ReadCapacityUnits'|'cassandra:table:WriteCapacityUnits'|'kafka:broker-storage:VolumeSize'|'elasticache:replication-group:NodeGroups'|'elasticache:replication-group:Replicas'|'neptune:cluster:ReadReplicaCount'|'sagemaker:variant:DesiredProvisionedConcurrency'|'sagemaker:inference-component:DesiredCopyCount'|'workspaces:workspacespool:DesiredUserSessions',
MaxResults=123,
NextToken='string'
)
list
The names of the scaling policies to describe.
(string) --
string
[REQUIRED]
The namespace of the Amazon Web Services service that provides the resource. For a resource provided by your own application or service, use custom-resource instead.
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.
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.
string
The scalable dimension. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID.
ecs:service:DesiredCount - The task count of an ECS service.
elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group.
ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet.
appstream:fleet:DesiredCapacity - The capacity of an AppStream 2.0 fleet.
dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table.
dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table.
dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index.
dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index.
rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for a SageMaker model endpoint variant.
custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service.
comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint.
comprehend:entity-recognizer-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend entity recognizer endpoint.
lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function.
cassandra:table:ReadCapacityUnits - The provisioned read capacity for an Amazon Keyspaces table.
cassandra:table:WriteCapacityUnits - The provisioned write capacity for an Amazon Keyspaces table.
kafka:broker-storage:VolumeSize - The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster.
elasticache:replication-group:NodeGroups - The number of node groups for an Amazon ElastiCache replication group.
elasticache:replication-group:Replicas - The number of replicas per node group for an Amazon ElastiCache replication group.
neptune:cluster:ReadReplicaCount - The count of read replicas in an Amazon Neptune DB cluster.
sagemaker:variant:DesiredProvisionedConcurrency - The provisioned concurrency for a SageMaker serverless endpoint.
sagemaker:inference-component:DesiredCopyCount - The number of copies across an endpoint for a SageMaker inference component.
workspaces:workspacespool:DesiredUserSessions - The number of user sessions for the WorkSpaces in the pool.
integer
The maximum number of scalable targets. This value can be between 1 and 10. The default value is 10.
If this parameter is used, the operation returns up to MaxResults results at a time, along with a NextToken value. To get the next set of results, include the NextToken value in a subsequent call. If this parameter is not used, the operation returns up to 10 results and a NextToken value, if applicable.
string
The token for the next set of results.
dict
Response Syntax
{
'ScalingPolicies': [
{
'PolicyARN': 'string',
'PolicyName': 'string',
'ServiceNamespace': 'ecs'|'elasticmapreduce'|'ec2'|'appstream'|'dynamodb'|'rds'|'sagemaker'|'custom-resource'|'comprehend'|'lambda'|'cassandra'|'kafka'|'elasticache'|'neptune'|'workspaces',
'ResourceId': 'string',
'ScalableDimension': 'ecs:service:DesiredCount'|'ec2:spot-fleet-request:TargetCapacity'|'elasticmapreduce:instancegroup:InstanceCount'|'appstream:fleet:DesiredCapacity'|'dynamodb:table:ReadCapacityUnits'|'dynamodb:table:WriteCapacityUnits'|'dynamodb:index:ReadCapacityUnits'|'dynamodb:index:WriteCapacityUnits'|'rds:cluster:ReadReplicaCount'|'sagemaker:variant:DesiredInstanceCount'|'custom-resource:ResourceType:Property'|'comprehend:document-classifier-endpoint:DesiredInferenceUnits'|'comprehend:entity-recognizer-endpoint:DesiredInferenceUnits'|'lambda:function:ProvisionedConcurrency'|'cassandra:table:ReadCapacityUnits'|'cassandra:table:WriteCapacityUnits'|'kafka:broker-storage:VolumeSize'|'elasticache:replication-group:NodeGroups'|'elasticache:replication-group:Replicas'|'neptune:cluster:ReadReplicaCount'|'sagemaker:variant:DesiredProvisionedConcurrency'|'sagemaker:inference-component:DesiredCopyCount'|'workspaces:workspacespool:DesiredUserSessions',
'PolicyType': 'StepScaling'|'TargetTrackingScaling'|'PredictiveScaling',
'StepScalingPolicyConfiguration': {
'AdjustmentType': 'ChangeInCapacity'|'PercentChangeInCapacity'|'ExactCapacity',
'StepAdjustments': [
{
'MetricIntervalLowerBound': 123.0,
'MetricIntervalUpperBound': 123.0,
'ScalingAdjustment': 123
},
],
'MinAdjustmentMagnitude': 123,
'Cooldown': 123,
'MetricAggregationType': 'Average'|'Minimum'|'Maximum'
},
'TargetTrackingScalingPolicyConfiguration': {
'TargetValue': 123.0,
'PredefinedMetricSpecification': {
'PredefinedMetricType': 'DynamoDBReadCapacityUtilization'|'DynamoDBWriteCapacityUtilization'|'ALBRequestCountPerTarget'|'RDSReaderAverageCPUUtilization'|'RDSReaderAverageDatabaseConnections'|'EC2SpotFleetRequestAverageCPUUtilization'|'EC2SpotFleetRequestAverageNetworkIn'|'EC2SpotFleetRequestAverageNetworkOut'|'SageMakerVariantInvocationsPerInstance'|'ECSServiceAverageCPUUtilization'|'ECSServiceAverageMemoryUtilization'|'AppStreamAverageCapacityUtilization'|'ComprehendInferenceUtilization'|'LambdaProvisionedConcurrencyUtilization'|'CassandraReadCapacityUtilization'|'CassandraWriteCapacityUtilization'|'KafkaBrokerStorageUtilization'|'ElastiCachePrimaryEngineCPUUtilization'|'ElastiCacheReplicaEngineCPUUtilization'|'ElastiCacheDatabaseMemoryUsageCountedForEvictPercentage'|'NeptuneReaderAverageCPUUtilization'|'SageMakerVariantProvisionedConcurrencyUtilization'|'ElastiCacheDatabaseCapacityUsageCountedForEvictPercentage'|'SageMakerInferenceComponentInvocationsPerCopy'|'WorkSpacesAverageUserSessionsCapacityUtilization'|'SageMakerInferenceComponentConcurrentRequestsPerCopyHighResolution'|'SageMakerVariantConcurrentRequestsPerModelHighResolution',
'ResourceLabel': 'string'
},
'CustomizedMetricSpecification': {
'MetricName': 'string',
'Namespace': 'string',
'Dimensions': [
{
'Name': 'string',
'Value': 'string'
},
],
'Statistic': 'Average'|'Minimum'|'Maximum'|'SampleCount'|'Sum',
'Unit': 'string',
'Metrics': [
{
'Expression': 'string',
'Id': 'string',
'Label': 'string',
'MetricStat': {
'Metric': {
'Dimensions': [
{
'Name': 'string',
'Value': 'string'
},
],
'MetricName': 'string',
'Namespace': 'string'
},
'Stat': 'string',
'Unit': 'string'
},
'ReturnData': True|False
},
]
},
'ScaleOutCooldown': 123,
'ScaleInCooldown': 123,
'DisableScaleIn': True|False
},
'PredictiveScalingPolicyConfiguration': {
'MetricSpecifications': [
{
'TargetValue': 123.0,
'PredefinedMetricPairSpecification': {
'PredefinedMetricType': 'string',
'ResourceLabel': 'string'
},
'PredefinedScalingMetricSpecification': {
'PredefinedMetricType': 'string',
'ResourceLabel': 'string'
},
'PredefinedLoadMetricSpecification': {
'PredefinedMetricType': 'string',
'ResourceLabel': 'string'
},
'CustomizedScalingMetricSpecification': {
'MetricDataQueries': [
{
'Id': 'string',
'Expression': 'string',
'MetricStat': {
'Metric': {
'Dimensions': [
{
'Name': 'string',
'Value': 'string'
},
],
'MetricName': 'string',
'Namespace': 'string'
},
'Stat': 'string',
'Unit': 'string'
},
'Label': 'string',
'ReturnData': True|False
},
]
},
'CustomizedLoadMetricSpecification': {
'MetricDataQueries': [
{
'Id': 'string',
'Expression': 'string',
'MetricStat': {
'Metric': {
'Dimensions': [
{
'Name': 'string',
'Value': 'string'
},
],
'MetricName': 'string',
'Namespace': 'string'
},
'Stat': 'string',
'Unit': 'string'
},
'Label': 'string',
'ReturnData': True|False
},
]
},
'CustomizedCapacityMetricSpecification': {
'MetricDataQueries': [
{
'Id': 'string',
'Expression': 'string',
'MetricStat': {
'Metric': {
'Dimensions': [
{
'Name': 'string',
'Value': 'string'
},
],
'MetricName': 'string',
'Namespace': 'string'
},
'Stat': 'string',
'Unit': 'string'
},
'Label': 'string',
'ReturnData': True|False
},
]
}
},
],
'Mode': 'ForecastOnly'|'ForecastAndScale',
'SchedulingBufferTime': 123,
'MaxCapacityBreachBehavior': 'HonorMaxCapacity'|'IncreaseMaxCapacity',
'MaxCapacityBuffer': 123
},
'Alarms': [
{
'AlarmName': 'string',
'AlarmARN': 'string'
},
],
'CreationTime': datetime(2015, 1, 1)
},
],
'NextToken': 'string'
}
Response Structure
(dict) --
ScalingPolicies (list) --
Information about the scaling policies.
(dict) --
Represents a scaling policy to use with Application Auto Scaling.
For more information about configuring scaling policies for a specific service, see Amazon Web Services services that you can use with Application Auto Scaling in the Application Auto Scaling User Guide.
PolicyARN (string) --
The Amazon Resource Name (ARN) of the scaling policy.
PolicyName (string) --
The name of the scaling policy.
ServiceNamespace (string) --
The namespace of the Amazon Web Services service that provides the resource, or a custom-resource.
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.
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: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.
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.
StepScalingPolicyConfiguration (dict) --
A step scaling policy.
AdjustmentType (string) --
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) --
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.
(dict) --
Represents a step adjustment for a StepScalingPolicyConfiguration. Describes an adjustment based on the difference between the value of the aggregated CloudWatch metric and the breach threshold that you've defined for the alarm.
For the following examples, suppose that you have an alarm with a breach threshold of 50:
To initiate the 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 initiate the 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.
There are a few rules for the step adjustments for your step policy:
The ranges of your step adjustments can't overlap or have a gap.
At most one step adjustment can have a null lower bound. If one step adjustment has a negative lower bound, then there must be a step adjustment with a null lower bound.
At most one step adjustment can have a null upper bound. If one step adjustment has a positive upper bound, then there must be a step adjustment with a null upper bound.
The upper and lower bound can't be null in the same step adjustment.
MetricIntervalLowerBound (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's exclusive (the metric must be greater than the threshold plus the lower bound). A null value indicates negative infinity.
MetricIntervalUpperBound (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's 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 (integer) --
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 non-negative value.
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.
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.
TargetTrackingScalingPolicyConfiguration (dict) --
A target tracking scaling policy.
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) --
A predefined metric. You can specify either a predefined metric or a customized metric.
PredefinedMetricType (string) --
The metric type. The ALBRequestCountPerTarget metric type applies only to Spot Fleets 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/<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) --
A customized metric. You can specify either a predefined metric or a customized metric.
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.
Namespace (string) --
The namespace of the metric.
Dimensions (list) --
The dimensions of the metric.
Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy.
(dict) --
Describes the dimension names and values associated with a metric.
Name (string) --
The name of the dimension.
Value (string) --
The value of the dimension.
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.
Metrics (list) --
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.
(dict) --
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.
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.
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 (dict) --
Information about the metric data to return.
Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat, but not both.
Metric (dict) --
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.
Dimensions (list) --
The dimensions for the metric. For the list of available dimensions, see the Amazon Web Services documentation available from the table in Amazon Web Services 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.
(dict) --
Describes the dimension of a metric.
Name (string) --
The name of the dimension.
Value (string) --
The value of the dimension.
MetricName (string) --
The name of the metric.
Namespace (string) --
The namespace of the metric. For more information, see the table in Amazon Web Services services that publish CloudWatch metrics in the Amazon CloudWatch User Guide.
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.
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).
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.
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.
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.
PredictiveScalingPolicyConfiguration (dict) --
The predictive scaling policy configuration.
MetricSpecifications (list) --
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.
(dict) --
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 (float) --
Specifies the target utilization.
PredefinedMetricPairSpecification (dict) --
The predefined metric pair specification that determines the appropriate scaling metric and load metric to use.
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.
PredefinedScalingMetricSpecification (dict) --
The predefined scaling metric specification.
PredefinedMetricType (string) --
The metric type.
ResourceLabel (string) --
A label that uniquely identifies a specific target group from which to determine the average request count.
PredefinedLoadMetricSpecification (dict) --
The predefined load metric specification.
PredefinedMetricType (string) --
The metric type.
ResourceLabel (string) --
A label that uniquely identifies a target group.
CustomizedScalingMetricSpecification (dict) --
The customized scaling metric specification.
MetricDataQueries (list) --
One or more metric data queries to provide data points for a metric specification.
(dict) --
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.
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.
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.
MetricStat (dict) --
Information about the metric data to return.
Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat, but not both.
Metric (dict) --
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.
Dimensions (list) --
Describes the dimensions of the metric.
(dict) --
Describes the dimension of a metric.
Name (string) --
The name of the dimension.
Value (string) --
The value of the dimension.
MetricName (string) --
The name of the metric.
Namespace (string) --
The namespace of the metric.
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.
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.
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).
CustomizedLoadMetricSpecification (dict) --
The customized load metric specification.
MetricDataQueries (list) --
One or more metric data queries to provide data points for a metric specification.
(dict) --
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.
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.
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.
MetricStat (dict) --
Information about the metric data to return.
Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat, but not both.
Metric (dict) --
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.
Dimensions (list) --
Describes the dimensions of the metric.
(dict) --
Describes the dimension of a metric.
Name (string) --
The name of the dimension.
Value (string) --
The value of the dimension.
MetricName (string) --
The name of the metric.
Namespace (string) --
The namespace of the metric.
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.
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.
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).
CustomizedCapacityMetricSpecification (dict) --
The customized capacity metric specification.
MetricDataQueries (list) --
One or more metric data queries to provide data points for a metric specification.
(dict) --
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.
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.
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.
MetricStat (dict) --
Information about the metric data to return.
Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat, but not both.
Metric (dict) --
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.
Dimensions (list) --
Describes the dimensions of the metric.
(dict) --
Describes the dimension of a metric.
Name (string) --
The name of the dimension.
Value (string) --
The value of the dimension.
MetricName (string) --
The name of the metric.
Namespace (string) --
The namespace of the metric.
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.
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.
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).
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.
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.
Alarms (list) --
The CloudWatch alarms associated with the scaling policy.
(dict) --
Represents a CloudWatch alarm associated with a scaling policy.
AlarmName (string) --
The name of the alarm.
AlarmARN (string) --
The Amazon Resource Name (ARN) of the alarm.
CreationTime (datetime) --
The Unix timestamp for when the scaling policy was created.
NextToken (string) --
The token required to get the next set of results. This value is null if there are no more results to return.
{'PolicyType': {'PredictiveScaling'},
'PredictiveScalingPolicyConfiguration': {'MaxCapacityBreachBehavior': 'HonorMaxCapacity '
'| '
'IncreaseMaxCapacity',
'MaxCapacityBuffer': 'integer',
'MetricSpecifications': [{'CustomizedCapacityMetricSpecification': {'MetricDataQueries': [{'Expression': 'string',
'Id': 'string',
'Label': 'string',
'MetricStat': {'Metric': {'Dimensions': [{'Name': 'string',
'Value': 'string'}],
'MetricName': 'string',
'Namespace': 'string'},
'Stat': 'string',
'Unit': 'string'},
'ReturnData': 'boolean'}]},
'CustomizedLoadMetricSpecification': {'MetricDataQueries': [{'Expression': 'string',
'Id': 'string',
'Label': 'string',
'MetricStat': {'Metric': {'Dimensions': [{'Name': 'string',
'Value': 'string'}],
'MetricName': 'string',
'Namespace': 'string'},
'Stat': 'string',
'Unit': 'string'},
'ReturnData': 'boolean'}]},
'CustomizedScalingMetricSpecification': {'MetricDataQueries': [{'Expression': 'string',
'Id': 'string',
'Label': 'string',
'MetricStat': {'Metric': {'Dimensions': [{'Name': 'string',
'Value': 'string'}],
'MetricName': 'string',
'Namespace': 'string'},
'Stat': 'string',
'Unit': 'string'},
'ReturnData': 'boolean'}]},
'PredefinedLoadMetricSpecification': {'PredefinedMetricType': 'string',
'ResourceLabel': 'string'},
'PredefinedMetricPairSpecification': {'PredefinedMetricType': 'string',
'ResourceLabel': 'string'},
'PredefinedScalingMetricSpecification': {'PredefinedMetricType': 'string',
'ResourceLabel': 'string'},
'TargetValue': 'double'}],
'Mode': 'ForecastOnly | '
'ForecastAndScale',
'SchedulingBufferTime': 'integer'}}
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.
See also: AWS API Documentation
Request Syntax
client.put_scaling_policy(
PolicyName='string',
ServiceNamespace='ecs'|'elasticmapreduce'|'ec2'|'appstream'|'dynamodb'|'rds'|'sagemaker'|'custom-resource'|'comprehend'|'lambda'|'cassandra'|'kafka'|'elasticache'|'neptune'|'workspaces',
ResourceId='string',
ScalableDimension='ecs:service:DesiredCount'|'ec2:spot-fleet-request:TargetCapacity'|'elasticmapreduce:instancegroup:InstanceCount'|'appstream:fleet:DesiredCapacity'|'dynamodb:table:ReadCapacityUnits'|'dynamodb:table:WriteCapacityUnits'|'dynamodb:index:ReadCapacityUnits'|'dynamodb:index:WriteCapacityUnits'|'rds:cluster:ReadReplicaCount'|'sagemaker:variant:DesiredInstanceCount'|'custom-resource:ResourceType:Property'|'comprehend:document-classifier-endpoint:DesiredInferenceUnits'|'comprehend:entity-recognizer-endpoint:DesiredInferenceUnits'|'lambda:function:ProvisionedConcurrency'|'cassandra:table:ReadCapacityUnits'|'cassandra:table:WriteCapacityUnits'|'kafka:broker-storage:VolumeSize'|'elasticache:replication-group:NodeGroups'|'elasticache:replication-group:Replicas'|'neptune:cluster:ReadReplicaCount'|'sagemaker:variant:DesiredProvisionedConcurrency'|'sagemaker:inference-component:DesiredCopyCount'|'workspaces:workspacespool:DesiredUserSessions',
PolicyType='StepScaling'|'TargetTrackingScaling'|'PredictiveScaling',
StepScalingPolicyConfiguration={
'AdjustmentType': 'ChangeInCapacity'|'PercentChangeInCapacity'|'ExactCapacity',
'StepAdjustments': [
{
'MetricIntervalLowerBound': 123.0,
'MetricIntervalUpperBound': 123.0,
'ScalingAdjustment': 123
},
],
'MinAdjustmentMagnitude': 123,
'Cooldown': 123,
'MetricAggregationType': 'Average'|'Minimum'|'Maximum'
},
TargetTrackingScalingPolicyConfiguration={
'TargetValue': 123.0,
'PredefinedMetricSpecification': {
'PredefinedMetricType': 'DynamoDBReadCapacityUtilization'|'DynamoDBWriteCapacityUtilization'|'ALBRequestCountPerTarget'|'RDSReaderAverageCPUUtilization'|'RDSReaderAverageDatabaseConnections'|'EC2SpotFleetRequestAverageCPUUtilization'|'EC2SpotFleetRequestAverageNetworkIn'|'EC2SpotFleetRequestAverageNetworkOut'|'SageMakerVariantInvocationsPerInstance'|'ECSServiceAverageCPUUtilization'|'ECSServiceAverageMemoryUtilization'|'AppStreamAverageCapacityUtilization'|'ComprehendInferenceUtilization'|'LambdaProvisionedConcurrencyUtilization'|'CassandraReadCapacityUtilization'|'CassandraWriteCapacityUtilization'|'KafkaBrokerStorageUtilization'|'ElastiCachePrimaryEngineCPUUtilization'|'ElastiCacheReplicaEngineCPUUtilization'|'ElastiCacheDatabaseMemoryUsageCountedForEvictPercentage'|'NeptuneReaderAverageCPUUtilization'|'SageMakerVariantProvisionedConcurrencyUtilization'|'ElastiCacheDatabaseCapacityUsageCountedForEvictPercentage'|'SageMakerInferenceComponentInvocationsPerCopy'|'WorkSpacesAverageUserSessionsCapacityUtilization'|'SageMakerInferenceComponentConcurrentRequestsPerCopyHighResolution'|'SageMakerVariantConcurrentRequestsPerModelHighResolution',
'ResourceLabel': 'string'
},
'CustomizedMetricSpecification': {
'MetricName': 'string',
'Namespace': 'string',
'Dimensions': [
{
'Name': 'string',
'Value': 'string'
},
],
'Statistic': 'Average'|'Minimum'|'Maximum'|'SampleCount'|'Sum',
'Unit': 'string',
'Metrics': [
{
'Expression': 'string',
'Id': 'string',
'Label': 'string',
'MetricStat': {
'Metric': {
'Dimensions': [
{
'Name': 'string',
'Value': 'string'
},
],
'MetricName': 'string',
'Namespace': 'string'
},
'Stat': 'string',
'Unit': 'string'
},
'ReturnData': True|False
},
]
},
'ScaleOutCooldown': 123,
'ScaleInCooldown': 123,
'DisableScaleIn': True|False
},
PredictiveScalingPolicyConfiguration={
'MetricSpecifications': [
{
'TargetValue': 123.0,
'PredefinedMetricPairSpecification': {
'PredefinedMetricType': 'string',
'ResourceLabel': 'string'
},
'PredefinedScalingMetricSpecification': {
'PredefinedMetricType': 'string',
'ResourceLabel': 'string'
},
'PredefinedLoadMetricSpecification': {
'PredefinedMetricType': 'string',
'ResourceLabel': 'string'
},
'CustomizedScalingMetricSpecification': {
'MetricDataQueries': [
{
'Id': 'string',
'Expression': 'string',
'MetricStat': {
'Metric': {
'Dimensions': [
{
'Name': 'string',
'Value': 'string'
},
],
'MetricName': 'string',
'Namespace': 'string'
},
'Stat': 'string',
'Unit': 'string'
},
'Label': 'string',
'ReturnData': True|False
},
]
},
'CustomizedLoadMetricSpecification': {
'MetricDataQueries': [
{
'Id': 'string',
'Expression': 'string',
'MetricStat': {
'Metric': {
'Dimensions': [
{
'Name': 'string',
'Value': 'string'
},
],
'MetricName': 'string',
'Namespace': 'string'
},
'Stat': 'string',
'Unit': 'string'
},
'Label': 'string',
'ReturnData': True|False
},
]
},
'CustomizedCapacityMetricSpecification': {
'MetricDataQueries': [
{
'Id': 'string',
'Expression': 'string',
'MetricStat': {
'Metric': {
'Dimensions': [
{
'Name': 'string',
'Value': 'string'
},
],
'MetricName': 'string',
'Namespace': 'string'
},
'Stat': 'string',
'Unit': 'string'
},
'Label': 'string',
'ReturnData': True|False
},
]
}
},
],
'Mode': 'ForecastOnly'|'ForecastAndScale',
'SchedulingBufferTime': 123,
'MaxCapacityBreachBehavior': 'HonorMaxCapacity'|'IncreaseMaxCapacity',
'MaxCapacityBuffer': 123
}
)
string
[REQUIRED]
The name of the scaling policy.
You cannot change the name of a scaling policy, but you can delete the original scaling policy and create a new scaling policy with the same settings and a different name.
string
[REQUIRED]
The namespace of the Amazon Web Services service that provides the resource. For a resource provided by your own application or service, use custom-resource instead.
string
[REQUIRED]
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.
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.
string
[REQUIRED]
The scalable dimension. This string consists of the service namespace, resource type, and scaling property.
ecs:service:DesiredCount - The task count of an ECS service.
elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group.
ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet.
appstream:fleet:DesiredCapacity - The capacity of an AppStream 2.0 fleet.
dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table.
dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table.
dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index.
dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index.
rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for a SageMaker model endpoint variant.
custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service.
comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint.
comprehend:entity-recognizer-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend entity recognizer endpoint.
lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function.
cassandra:table:ReadCapacityUnits - The provisioned read capacity for an Amazon Keyspaces table.
cassandra:table:WriteCapacityUnits - The provisioned write capacity for an Amazon Keyspaces table.
kafka:broker-storage:VolumeSize - The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster.
elasticache:replication-group:NodeGroups - The number of node groups for an Amazon ElastiCache replication group.
elasticache:replication-group:Replicas - The number of replicas per node group for an Amazon ElastiCache replication group.
neptune:cluster:ReadReplicaCount - The count of read replicas in an Amazon Neptune DB cluster.
sagemaker:variant:DesiredProvisionedConcurrency - The provisioned concurrency for a SageMaker serverless endpoint.
sagemaker:inference-component:DesiredCopyCount - The number of copies across an endpoint for a SageMaker inference component.
workspaces:workspacespool:DesiredUserSessions - The number of user sessions for the WorkSpaces in the pool.
string
The scaling 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.
dict
A step scaling policy.
This parameter is required if you are creating a policy and the policy type is StepScaling.
AdjustmentType (string) --
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) --
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.
(dict) --
Represents a step adjustment for a StepScalingPolicyConfiguration. Describes an adjustment based on the difference between the value of the aggregated CloudWatch metric and the breach threshold that you've defined for the alarm.
For the following examples, suppose that you have an alarm with a breach threshold of 50:
To initiate the 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 initiate the 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.
There are a few rules for the step adjustments for your step policy:
The ranges of your step adjustments can't overlap or have a gap.
At most one step adjustment can have a null lower bound. If one step adjustment has a negative lower bound, then there must be a step adjustment with a null lower bound.
At most one step adjustment can have a null upper bound. If one step adjustment has a positive upper bound, then there must be a step adjustment with a null upper bound.
The upper and lower bound can't be null in the same step adjustment.
MetricIntervalLowerBound (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's exclusive (the metric must be greater than the threshold plus the lower bound). A null value indicates negative infinity.
MetricIntervalUpperBound (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's 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 (integer) -- [REQUIRED]
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 non-negative value.
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.
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.
dict
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.
TargetValue (float) -- [REQUIRED]
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) --
A predefined metric. You can specify either a predefined metric or a customized metric.
PredefinedMetricType (string) -- [REQUIRED]
The metric type. The ALBRequestCountPerTarget metric type applies only to Spot Fleets 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/<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) --
A customized metric. You can specify either a predefined metric or a customized metric.
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.
Namespace (string) --
The namespace of the metric.
Dimensions (list) --
The dimensions of the metric.
Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy.
(dict) --
Describes the dimension names and values associated with a metric.
Name (string) -- [REQUIRED]
The name of the dimension.
Value (string) -- [REQUIRED]
The value of the dimension.
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.
Metrics (list) --
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.
(dict) --
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.
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.
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) -- [REQUIRED]
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 (dict) --
Information about the metric data to return.
Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat, but not both.
Metric (dict) -- [REQUIRED]
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.
Dimensions (list) --
The dimensions for the metric. For the list of available dimensions, see the Amazon Web Services documentation available from the table in Amazon Web Services 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.
(dict) --
Describes the dimension of a metric.
Name (string) -- [REQUIRED]
The name of the dimension.
Value (string) -- [REQUIRED]
The value of the dimension.
MetricName (string) --
The name of the metric.
Namespace (string) --
The namespace of the metric. For more information, see the table in Amazon Web Services services that publish CloudWatch metrics in the Amazon CloudWatch User Guide.
Stat (string) -- [REQUIRED]
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.
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).
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.
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.
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.
dict
The configuration of the predictive scaling policy.
MetricSpecifications (list) -- [REQUIRED]
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.
(dict) --
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 (float) -- [REQUIRED]
Specifies the target utilization.
PredefinedMetricPairSpecification (dict) --
The predefined metric pair specification that determines the appropriate scaling metric and load metric to use.
PredefinedMetricType (string) -- [REQUIRED]
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.
PredefinedScalingMetricSpecification (dict) --
The predefined scaling metric specification.
PredefinedMetricType (string) -- [REQUIRED]
The metric type.
ResourceLabel (string) --
A label that uniquely identifies a specific target group from which to determine the average request count.
PredefinedLoadMetricSpecification (dict) --
The predefined load metric specification.
PredefinedMetricType (string) -- [REQUIRED]
The metric type.
ResourceLabel (string) --
A label that uniquely identifies a target group.
CustomizedScalingMetricSpecification (dict) --
The customized scaling metric specification.
MetricDataQueries (list) -- [REQUIRED]
One or more metric data queries to provide data points for a metric specification.
(dict) --
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.
Id (string) -- [REQUIRED]
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.
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.
MetricStat (dict) --
Information about the metric data to return.
Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat, but not both.
Metric (dict) -- [REQUIRED]
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.
Dimensions (list) --
Describes the dimensions of the metric.
(dict) --
Describes the dimension of a metric.
Name (string) -- [REQUIRED]
The name of the dimension.
Value (string) -- [REQUIRED]
The value of the dimension.
MetricName (string) --
The name of the metric.
Namespace (string) --
The namespace of the metric.
Stat (string) -- [REQUIRED]
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.
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.
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).
CustomizedLoadMetricSpecification (dict) --
The customized load metric specification.
MetricDataQueries (list) -- [REQUIRED]
One or more metric data queries to provide data points for a metric specification.
(dict) --
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.
Id (string) -- [REQUIRED]
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.
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.
MetricStat (dict) --
Information about the metric data to return.
Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat, but not both.
Metric (dict) -- [REQUIRED]
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.
Dimensions (list) --
Describes the dimensions of the metric.
(dict) --
Describes the dimension of a metric.
Name (string) -- [REQUIRED]
The name of the dimension.
Value (string) -- [REQUIRED]
The value of the dimension.
MetricName (string) --
The name of the metric.
Namespace (string) --
The namespace of the metric.
Stat (string) -- [REQUIRED]
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.
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.
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).
CustomizedCapacityMetricSpecification (dict) --
The customized capacity metric specification.
MetricDataQueries (list) -- [REQUIRED]
One or more metric data queries to provide data points for a metric specification.
(dict) --
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.
Id (string) -- [REQUIRED]
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.
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.
MetricStat (dict) --
Information about the metric data to return.
Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat, but not both.
Metric (dict) -- [REQUIRED]
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.
Dimensions (list) --
Describes the dimensions of the metric.
(dict) --
Describes the dimension of a metric.
Name (string) -- [REQUIRED]
The name of the dimension.
Value (string) -- [REQUIRED]
The value of the dimension.
MetricName (string) --
The name of the metric.
Namespace (string) --
The namespace of the metric.
Stat (string) -- [REQUIRED]
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.
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.
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).
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.
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.
dict
Response Syntax
{
'PolicyARN': 'string',
'Alarms': [
{
'AlarmName': 'string',
'AlarmARN': 'string'
},
]
}
Response Structure
(dict) --
PolicyARN (string) --
The Amazon Resource Name (ARN) of the resulting scaling policy.
Alarms (list) --
The CloudWatch alarms created for the target tracking scaling policy.
(dict) --
Represents a CloudWatch alarm associated with a scaling policy.
AlarmName (string) --
The name of the alarm.
AlarmARN (string) --
The Amazon Resource Name (ARN) of the alarm.