ApplicationAutoScaling / Client / describe_scaling_policies
describe_scaling_policies#
- ApplicationAutoScaling.Client.describe_scaling_policies(**kwargs)#
Describes the Application Auto Scaling scaling policies for the specified service namespace.
You can filter the results using
ResourceId
,ScalableDimension
, andPolicyNames
.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
response = 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' )
- Parameters:
PolicyNames (list) –
The names of the scaling policies to describe.
(string) –
ServiceNamespace (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.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
orfunction: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. 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.
MaxResults (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 aNextToken
value. To get the next set of results, include theNextToken
value in a subsequent call. If this parameter is not used, the operation returns up to 10 results and aNextToken
value, if applicable.NextToken (string) – The token for the next set of results.
- Return type:
dict
- Returns:
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', '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 }, '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
orfunction: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 EMRStepScaling
—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 areChangeInCapacity
,ExactCapacity
, andPercentChangeInCapacity
.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 of10
.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 of0
.
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 aMinAdjustmentMagnitude
of 2. If the service has 4 tasks and the scaling policy is performed, 25 percent of 4 is 1. However, because you specified aMinAdjustmentMagnitude
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
, andAverage
. If the aggregation type is null, the value is treated asAverage
.
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.
Note
If the scaling policy specifies the
ALBRequestCountPerTarget
predefined metric, specify the target utilization as the optimal average request count per target during any one-minute interval.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 theId
of other expressions to use the result of those expressions.Conditional: Within each
TargetTrackingMetricDataQuery
object, you must specify eitherExpression
orMetricStat
, 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 eitherExpression
orMetricStat
, 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 specifyfalse
forReturnData
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 isfalse
.
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.
Exceptions
ApplicationAutoScaling.Client.exceptions.ValidationException
ApplicationAutoScaling.Client.exceptions.FailedResourceAccessException
ApplicationAutoScaling.Client.exceptions.InvalidNextTokenException
ApplicationAutoScaling.Client.exceptions.ConcurrentUpdateException
ApplicationAutoScaling.Client.exceptions.InternalServiceException
Examples
This example describes the scaling policies for the ECS service namespace.
response = client.describe_scaling_policies( ServiceNamespace='ecs', ) print(response)
Expected Output:
{ 'NextToken': '', 'ScalingPolicies': [ { 'Alarms': [ { 'AlarmARN': 'arn:aws:cloudwatch:us-west-2:012345678910:alarm:web-app-cpu-gt-75', 'AlarmName': 'web-app-cpu-gt-75', }, ], 'CreationTime': datetime(2019, 5, 6, 12, 11, 39, 0, 126, 0), 'PolicyARN': 'arn:aws:autoscaling:us-west-2:012345678910:scalingPolicy:6d8972f3-efc8-437c-92d1-6270f29a66e7:resource/ecs/service/default/web-app:policyName/web-app-cpu-gt-75', 'PolicyName': 'web-app-cpu-gt-75', 'PolicyType': 'StepScaling', 'ResourceId': 'service/default/web-app', 'ScalableDimension': 'ecs:service:DesiredCount', 'ServiceNamespace': 'ecs', 'StepScalingPolicyConfiguration': { 'AdjustmentType': 'PercentChangeInCapacity', 'Cooldown': 60, 'StepAdjustments': [ { 'MetricIntervalLowerBound': 0, 'ScalingAdjustment': 200, }, ], }, }, ], 'ResponseMetadata': { '...': '...', }, }