CfnScalingPolicy

class aws_cdk.aws_applicationautoscaling.CfnScalingPolicy(scope, id, *, policy_name, policy_type, resource_id=None, scalable_dimension=None, scaling_target_id=None, service_namespace=None, step_scaling_policy_configuration=None, target_tracking_scaling_policy_configuration=None)

Bases: CfnResource

A CloudFormation AWS::ApplicationAutoScaling::ScalingPolicy.

The AWS::ApplicationAutoScaling::ScalingPolicy resource defines a scaling policy that Application Auto Scaling uses to adjust the capacity of a scalable target.

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

CloudformationResource:: AWS::ApplicationAutoScaling::ScalingPolicy
Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-applicationautoscaling-scalingpolicy.html
ExampleMetadata:: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_applicationautoscaling as appscaling

cfn_scaling_policy = appscaling.CfnScalingPolicy(self, "MyCfnScalingPolicy",
    policy_name="policyName",
    policy_type="policyType",

    # the properties below are optional
    resource_id="resourceId",
    scalable_dimension="scalableDimension",
    scaling_target_id="scalingTargetId",
    service_namespace="serviceNamespace",
    step_scaling_policy_configuration=appscaling.CfnScalingPolicy.StepScalingPolicyConfigurationProperty(
        adjustment_type="adjustmentType",
        cooldown=123,
        metric_aggregation_type="metricAggregationType",
        min_adjustment_magnitude=123,
        step_adjustments=[appscaling.CfnScalingPolicy.StepAdjustmentProperty(
            scaling_adjustment=123,

            # the properties below are optional
            metric_interval_lower_bound=123,
            metric_interval_upper_bound=123
        )]
    ),
    target_tracking_scaling_policy_configuration=appscaling.CfnScalingPolicy.TargetTrackingScalingPolicyConfigurationProperty(
        target_value=123,

        # the properties below are optional
        customized_metric_specification=appscaling.CfnScalingPolicy.CustomizedMetricSpecificationProperty(
            metric_name="metricName",
            namespace="namespace",
            statistic="statistic",

            # the properties below are optional
            dimensions=[appscaling.CfnScalingPolicy.MetricDimensionProperty(
                name="name",
                value="value"
            )],
            unit="unit"
        ),
        disable_scale_in=False,
        predefined_metric_specification=appscaling.CfnScalingPolicy.PredefinedMetricSpecificationProperty(
            predefined_metric_type="predefinedMetricType",

            # the properties below are optional
            resource_label="resourceLabel"
        ),
        scale_in_cooldown=123,
        scale_out_cooldown=123
    )
)

Create a new AWS::ApplicationAutoScaling::ScalingPolicy.

Parameters:

scope (Construct) –
- scope in which this resource is defined.
id (str) –
- scoped id of the resource.
policy_name (str) – The name of the scaling policy. Updates to the name of a target tracking scaling policy are not supported, unless you also update the metric used for scaling. To change only a target tracking scaling policy’s name, first delete the policy by removing the existing AWS::ApplicationAutoScaling::ScalingPolicy resource from the template and updating the stack. Then, recreate the resource with the same settings and a different name.
policy_type (str) – 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.
resource_id (Optional[str]) – The identifier of the resource associated with the scaling policy. This string consists of the resource type and unique identifier. - ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp . - Spot Fleet - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE . - EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0 . - AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet . - DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table . - DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index . - Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster . - SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering . - Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository . - Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE . - Amazon Comprehend entity recognizer endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE . - Lambda provisioned concurrency - The resource type is function and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST . Example: function:my-function:prod or function:my-function:1 . - Amazon Keyspaces table - The resource type is table and the unique identifier is the table name. Example: keyspace/mykeyspace/table/mytable . - Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. Example: arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5 . - Amazon ElastiCache replication group - The resource type is replication-group and the unique identifier is the replication group name. Example: replication-group/mycluster . - Neptune cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:mycluster . - SageMaker Serverless endpoint - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering .
scalable_dimension (Optional[str]) – The scalable dimension. This string consists of the service namespace, resource type, and scaling property. - ecs:service:DesiredCount - The desired task count of an ECS service. - elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. - ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet. - appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. - dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. - dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. - dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. - dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. - rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. - sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for 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.
scaling_target_id (Optional[str]) – The CloudFormation-generated ID of an Application Auto Scaling scalable target. For more information about the ID, see the Return Value section of the AWS::ApplicationAutoScaling::ScalableTarget resource. .. epigraph:: You must specify either the ScalingTargetId property, or the ResourceId , ScalableDimension , and ServiceNamespace properties, but not both.
service_namespace (Optional[str]) – The namespace of the AWS service that provides the resource, or a custom-resource .
step_scaling_policy_configuration (Union[IResolvable, StepScalingPolicyConfigurationProperty, Dict[str, Any], None]) – A step scaling policy.
target_tracking_scaling_policy_configuration (Union[IResolvable, TargetTrackingScalingPolicyConfigurationProperty, Dict[str, Any], None]) – A target tracking scaling policy.

Methods

add_deletion_override(path)

Syntactic sugar for addOverride(path, undefined).

Parameters:: path (str) – The path of the value to delete.
Return type:: None

add_depends_on(target)

Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.

This can be used for resources across stacks (or nested stack) boundaries and the dependency will automatically be transferred to the relevant scope.

Parameters:: target (CfnResource)
Return type:: None

add_metadata(key, value)

Add a value to the CloudFormation Resource Metadata.

Parameters:

key (str)
value (Any)

See:

Return type:

None

https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html

Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.

add_override(path, value)

Adds an override to the synthesized CloudFormation resource.

To add a property override, either use addPropertyOverride or prefix path with “Properties.” (i.e. Properties.TopicName).

If the override is nested, separate each nested level using a dot (.) in the path parameter. If there is an array as part of the nesting, specify the index in the path.

To include a literal . in the property name, prefix with a \. In most programming languages you will need to write this as "\\." because the \ itself will need to be escaped.

For example:

cfn_resource.add_override("Properties.GlobalSecondaryIndexes.0.Projection.NonKeyAttributes", ["myattribute"])
cfn_resource.add_override("Properties.GlobalSecondaryIndexes.1.ProjectionType", "INCLUDE")

would add the overrides Example:

"Properties": {
   "GlobalSecondaryIndexes": [
     {
       "Projection": {
         "NonKeyAttributes": [ "myattribute" ]
         ...
       }
       ...
     },
     {
       "ProjectionType": "INCLUDE"
       ...
     },
   ]
   ...
}

The value argument to addOverride will not be processed or translated in any way. Pass raw JSON values in here with the correct capitalization for CloudFormation. If you pass CDK classes or structs, they will be rendered with lowercased key names, and CloudFormation will reject the template.

Parameters:

path (str) –
- The path of the property, you can use dot notation to override values in complex types. Any intermdediate keys will be created as needed.
value (Any) –
- The value. Could be primitive or complex.

Return type:

None

add_property_deletion_override(property_path)

Adds an override that deletes the value of a property from the resource definition.

Parameters:: property_path (str) – The path to the property.
Return type:: None

add_property_override(property_path, value)

Adds an override to a resource property.

Syntactic sugar for addOverride("Properties.<...>", value).

Parameters:

property_path (str) – The path of the property.
value (Any) – The value.

Return type:

None

apply_removal_policy(policy=None, *, apply_to_update_replace_policy=None, default=None)

Sets the deletion policy of the resource based on the removal policy specified.

The Removal Policy controls what happens to this resource when it stops being managed by CloudFormation, either because you’ve removed it from the CDK application or because you’ve made a change that requires the resource to be replaced.

The resource can be deleted (RemovalPolicy.DESTROY), or left in your AWS account for data recovery and cleanup later (RemovalPolicy.RETAIN).

Parameters:

policy (Optional[RemovalPolicy])
apply_to_update_replace_policy (Optional[bool]) – Apply the same deletion policy to the resource’s “UpdateReplacePolicy”. Default: true
default (Optional[RemovalPolicy]) – The default policy to apply in case the removal policy is not defined. Default: - Default value is resource specific. To determine the default value for a resoure, please consult that specific resource’s documentation.

Return type:

None

get_att(attribute_name)

Returns a token for an runtime attribute of this resource.

Ideally, use generated attribute accessors (e.g. resource.arn), but this can be used for future compatibility in case there is no generated attribute.

Parameters:: attribute_name (str) – The name of the attribute.
Return type:: Reference

get_metadata(key)

Retrieve a value value from the CloudFormation Resource Metadata.

Parameters:: key (str)
See:
Return type:: Any

https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html

Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.

inspect(inspector)

Examines the CloudFormation resource and discloses attributes.

Parameters:

inspector (TreeInspector) –

tree inspector to collect and process attributes.

Return type:

None

override_logical_id(new_logical_id)

Overrides the auto-generated logical ID with a specific ID.

Parameters:: new_logical_id (str) – The new logical ID to use for this stack element.
Return type:: None

to_string()

Returns a string representation of this construct.

Return type:: str
Returns:: a string representation of this resource

Attributes

CFN_RESOURCE_TYPE_NAME = 'AWS::ApplicationAutoScaling::ScalingPolicy'

cfn_options: Options for this resource, such as condition, update policy etc.

cfn_resource_type: AWS resource type.

creation_stack

return:

the stack trace of the point where this Resource was created from, sourced from the +metadata+ entry typed +aws:cdk:logicalId+, and with the bottom-most node +internal+ entries filtered.

logical_id

The logical ID for this CloudFormation stack element.

The logical ID of the element is calculated from the path of the resource node in the construct tree.

To override this value, use overrideLogicalId(newLogicalId).

Returns:

the logical ID as a stringified token. This value will only get resolved during synthesis.

node: The construct tree node associated with this construct.

policy_name

The name of the scaling policy.

Updates to the name of a target tracking scaling policy are not supported, unless you also update the metric used for scaling. To change only a target tracking scaling policy’s name, first delete the policy by removing the existing AWS::ApplicationAutoScaling::ScalingPolicy resource from the template and updating the stack. Then, recreate the resource with the same settings and a different name.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-applicationautoscaling-scalingpolicy.html#cfn-applicationautoscaling-scalingpolicy-policyname

policy_type

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.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-applicationautoscaling-scalingpolicy.html#cfn-applicationautoscaling-scalingpolicy-policytype

ref

Return a string that will be resolved to a CloudFormation { Ref } for this element.

If, by any chance, the intrinsic reference of a resource is not a string, you could coerce it to an IResolvable through Lazy.any({ produce: resource.ref }).

resource_id

The identifier of the resource associated with the scaling policy.

This string consists of the resource type and unique identifier.

ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp .
Spot Fleet - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE .
EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0 .
AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet .
DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table .
DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index .
Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster .
SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering .
Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository .
Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE .
Amazon Comprehend entity recognizer endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE .
Lambda provisioned concurrency - The resource type is function and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST . Example: function:my-function:prod or function:my-function:1 .
Amazon Keyspaces table - The resource type is table and the unique identifier is the table name. Example: keyspace/mykeyspace/table/mytable .
Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. Example: arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5 .
Amazon ElastiCache replication group - The resource type is replication-group and the unique identifier is the replication group name. Example: replication-group/mycluster .
Neptune cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:mycluster .
SageMaker Serverless endpoint - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering .

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-applicationautoscaling-scalingpolicy.html#cfn-applicationautoscaling-scalingpolicy-resourceid

scalable_dimension

The scalable dimension. This string consists of the service namespace, resource type, and scaling property.

ecs:service:DesiredCount - The desired task count of an ECS service.
elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group.
ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet.
appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet.
dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table.
dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table.
dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index.
dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index.
rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for 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.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-applicationautoscaling-scalingpolicy.html#cfn-applicationautoscaling-scalingpolicy-scalabledimension

scaling_target_id

The CloudFormation-generated ID of an Application Auto Scaling scalable target.

For more information about the ID, see the Return Value section of the AWS::ApplicationAutoScaling::ScalableTarget resource. .. epigraph:

You must specify either the ``ScalingTargetId`` property, or the ``ResourceId`` , ``ScalableDimension`` , and ``ServiceNamespace`` properties, but not both.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-applicationautoscaling-scalingpolicy.html#cfn-applicationautoscaling-scalingpolicy-scalingtargetid

service_namespace

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

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-applicationautoscaling-scalingpolicy.html#cfn-applicationautoscaling-scalingpolicy-servicenamespace

stack

The stack in which this element is defined.

CfnElements must be defined within a stack scope (directly or indirectly).

step_scaling_policy_configuration

A step scaling policy.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-applicationautoscaling-scalingpolicy.html#cfn-applicationautoscaling-scalingpolicy-stepscalingpolicyconfiguration

target_tracking_scaling_policy_configuration

A target tracking scaling policy.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-applicationautoscaling-scalingpolicy.html#cfn-applicationautoscaling-scalingpolicy-targettrackingscalingpolicyconfiguration

Static Methods

classmethod is_cfn_element(x)

Returns true if a construct is a stack element (i.e. part of the synthesized cloudformation template).

Uses duck-typing instead of instanceof to allow stack elements from different versions of this library to be included in the same stack.

Parameters:: x (Any)
Return type:: bool
Returns:: The construct as a stack element or undefined if it is not a stack element.

classmethod is_cfn_resource(construct)

Check whether the given construct is a CfnResource.

Parameters:: construct (IConstruct)
Return type:: bool

classmethod is_construct(x)

Return whether the given object is a Construct.

Parameters:: x (Any)
Return type:: bool

CustomizedMetricSpecificationProperty

class CfnScalingPolicy.CustomizedMetricSpecificationProperty(*, metric_name, namespace, statistic, dimensions=None, unit=None)

Bases: object

Contains customized metric specification information for a target tracking scaling policy for Application Auto Scaling.

For information about the available metrics for a service, see AWS services that publish CloudWatch metrics in the Amazon CloudWatch User Guide .

To create your customized metric specification:

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

For an example of how creating new metrics can be useful, see Scaling based on Amazon SQS in the Amazon EC2 Auto Scaling User Guide . This topic mentions Auto Scaling groups, but the same scenario for Amazon SQS can apply to the target tracking scaling policies that you create for a Spot Fleet by using Application Auto Scaling.

For more information about the CloudWatch terminology below, see Amazon CloudWatch concepts .

CustomizedMetricSpecification is a property of the AWS::ApplicationAutoScaling::ScalingPolicy TargetTrackingScalingPolicyConfiguration property type.

Parameters:

metric_name (str) – The name of the metric. To get the exact metric name, namespace, and dimensions, inspect the Metric object that’s returned by a call to ListMetrics .
namespace (str) – The namespace of the metric.
statistic (str) – The statistic of the metric.
dimensions (Union[IResolvable, Sequence[Union[IResolvable, MetricDimensionProperty, Dict[str, Any]]], None]) – The dimensions of the metric. Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy.
unit (Optional[str]) – The unit of the metric. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference .

Link:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-applicationautoscaling-scalingpolicy-customizedmetricspecification.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_applicationautoscaling as appscaling

customized_metric_specification_property = appscaling.CfnScalingPolicy.CustomizedMetricSpecificationProperty(
    metric_name="metricName",
    namespace="namespace",
    statistic="statistic",

    # the properties below are optional
    dimensions=[appscaling.CfnScalingPolicy.MetricDimensionProperty(
        name="name",
        value="value"
    )],
    unit="unit"
)

Attributes

dimensions

The dimensions of the metric.

Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-applicationautoscaling-scalingpolicy-customizedmetricspecification.html#cfn-applicationautoscaling-scalingpolicy-customizedmetricspecification-dimensions

metric_name

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 .

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-applicationautoscaling-scalingpolicy-customizedmetricspecification.html#cfn-applicationautoscaling-scalingpolicy-customizedmetricspecification-metricname

namespace

The namespace of the metric.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-applicationautoscaling-scalingpolicy-customizedmetricspecification.html#cfn-applicationautoscaling-scalingpolicy-customizedmetricspecification-namespace

statistic

The statistic of the metric.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-applicationautoscaling-scalingpolicy-customizedmetricspecification.html#cfn-applicationautoscaling-scalingpolicy-customizedmetricspecification-statistic

unit

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 .

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-applicationautoscaling-scalingpolicy-customizedmetricspecification.html#cfn-applicationautoscaling-scalingpolicy-customizedmetricspecification-unit

MetricDimensionProperty

class CfnScalingPolicy.MetricDimensionProperty(*, name, value)

Bases: object

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

Parameters:

name (str) – The name of the dimension.
value (str) – The value of the dimension.

Link:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-applicationautoscaling-scalingpolicy-metricdimension.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_applicationautoscaling as appscaling

metric_dimension_property = appscaling.CfnScalingPolicy.MetricDimensionProperty(
    name="name",
    value="value"
)

Attributes

name

The name of the dimension.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-applicationautoscaling-scalingpolicy-metricdimension.html#cfn-applicationautoscaling-scalingpolicy-metricdimension-name

value

The value of the dimension.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-applicationautoscaling-scalingpolicy-metricdimension.html#cfn-applicationautoscaling-scalingpolicy-metricdimension-value

PredefinedMetricSpecificationProperty

class CfnScalingPolicy.PredefinedMetricSpecificationProperty(*, predefined_metric_type, resource_label=None)

Bases: object

Contains predefined metric specification information for a target tracking scaling policy for Application Auto Scaling.

PredefinedMetricSpecification is a property of the AWS::ApplicationAutoScaling::ScalingPolicy TargetTrackingScalingPolicyConfiguration property type.

Parameters:

predefined_metric_type (str) – The metric type. The ALBRequestCountPerTarget metric type applies only to Spot fleet requests and ECS services.
resource_label (Optional[str]) – Identifies the resource associated with the metric type. You can’t specify a resource label unless the metric type is ALBRequestCountPerTarget and there is a target group attached to the Spot Fleet or ECS service. You create the resource label by appending the final portion of the load balancer ARN and the final portion of the target group ARN into a single value, separated by a forward slash (/). The format of the resource label is: app/my-alb/778d41231b141a0f/targetgroup/my-alb-target-group/943f017f100becff . Where: - app// is the final portion of the load balancer ARN - targetgroup// is the final portion of the target group ARN. To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use the DescribeTargetGroups API operation.

Link:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-applicationautoscaling-scalingpolicy-predefinedmetricspecification.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_applicationautoscaling as appscaling

predefined_metric_specification_property = appscaling.CfnScalingPolicy.PredefinedMetricSpecificationProperty(
    predefined_metric_type="predefinedMetricType",

    # the properties below are optional
    resource_label="resourceLabel"
)

Attributes

predefined_metric_type

The metric type.

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

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-applicationautoscaling-scalingpolicy-predefinedmetricspecification.html#cfn-applicationautoscaling-scalingpolicy-predefinedmetricspecification-predefinedmetrictype

resource_label

Identifies the resource associated with the metric type.

You can’t specify a resource label unless the metric type is ALBRequestCountPerTarget and there is a target group attached to the Spot Fleet or ECS service.

You create the resource label by appending the final portion of the load balancer ARN and the final portion of the target group ARN into a single value, separated by a forward slash (/). The format of the resource label is:

app/my-alb/778d41231b141a0f/targetgroup/my-alb-target-group/943f017f100becff .

Where:

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

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

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-applicationautoscaling-scalingpolicy-predefinedmetricspecification.html#cfn-applicationautoscaling-scalingpolicy-predefinedmetricspecification-resourcelabel

StepAdjustmentProperty

class CfnScalingPolicy.StepAdjustmentProperty(*, scaling_adjustment, metric_interval_lower_bound=None, metric_interval_upper_bound=None)

Bases: object

StepAdjustment specifies a step adjustment for the StepAdjustments property of the AWS::ApplicationAutoScaling::ScalingPolicy StepScalingPolicyConfiguration property type.

For the following examples, suppose that you have an alarm with a breach threshold of 50:

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

For more information, see Step adjustments in the Application Auto Scaling User Guide .

You can find a sample template snippet in the Examples section of the AWS::ApplicationAutoScaling::ScalingPolicy documentation.

Parameters:

scaling_adjustment (Union[int, float]) – The amount by which to scale. The adjustment is based on the value that you specified in the AdjustmentType property (either an absolute number or a percentage). A positive value adds to the current capacity and a negative number subtracts from the current capacity.
metric_interval_lower_bound (Union[int, float, None]) – The lower bound for the difference between the alarm threshold and the CloudWatch metric. If the metric value is above the breach threshold, the lower bound is inclusive (the metric must be greater than or equal to the threshold plus the lower bound). Otherwise, it is exclusive (the metric must be greater than the threshold plus the lower bound). A null value indicates negative infinity. You must specify at least one upper or lower bound.
metric_interval_upper_bound (Union[int, float, None]) – The upper bound for the difference between the alarm threshold and the CloudWatch metric. If the metric value is above the breach threshold, the upper bound is exclusive (the metric must be less than the threshold plus the upper bound). Otherwise, it is inclusive (the metric must be less than or equal to the threshold plus the upper bound). A null value indicates positive infinity. You must specify at least one upper or lower bound.

Link:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-applicationautoscaling-scalingpolicy-stepscalingpolicyconfiguration-stepadjustment.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_applicationautoscaling as appscaling

step_adjustment_property = appscaling.CfnScalingPolicy.StepAdjustmentProperty(
    scaling_adjustment=123,

    # the properties below are optional
    metric_interval_lower_bound=123,
    metric_interval_upper_bound=123
)

Attributes

metric_interval_lower_bound

The lower bound for the difference between the alarm threshold and the CloudWatch metric.

If the metric value is above the breach threshold, the lower bound is inclusive (the metric must be greater than or equal to the threshold plus the lower bound). Otherwise, it is exclusive (the metric must be greater than the threshold plus the lower bound). A null value indicates negative infinity.

You must specify at least one upper or lower bound.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-applicationautoscaling-scalingpolicy-stepscalingpolicyconfiguration-stepadjustment.html#cfn-applicationautoscaling-scalingpolicy-stepscalingpolicyconfiguration-stepadjustment-metricintervallowerbound

metric_interval_upper_bound

The upper bound for the difference between the alarm threshold and the CloudWatch metric.

If the metric value is above the breach threshold, the upper bound is exclusive (the metric must be less than the threshold plus the upper bound). Otherwise, it is inclusive (the metric must be less than or equal to the threshold plus the upper bound). A null value indicates positive infinity.

You must specify at least one upper or lower bound.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-applicationautoscaling-scalingpolicy-stepscalingpolicyconfiguration-stepadjustment.html#cfn-applicationautoscaling-scalingpolicy-stepscalingpolicyconfiguration-stepadjustment-metricintervalupperbound

scaling_adjustment

The amount by which to scale.

The adjustment is based on the value that you specified in the AdjustmentType property (either an absolute number or a percentage). A positive value adds to the current capacity and a negative number subtracts from the current capacity.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-applicationautoscaling-scalingpolicy-stepscalingpolicyconfiguration-stepadjustment.html#cfn-applicationautoscaling-scalingpolicy-stepscalingpolicyconfiguration-stepadjustment-scalingadjustment

StepScalingPolicyConfigurationProperty

class CfnScalingPolicy.StepScalingPolicyConfigurationProperty(*, adjustment_type=None, cooldown=None, metric_aggregation_type=None, min_adjustment_magnitude=None, step_adjustments=None)

Bases: object

StepScalingPolicyConfiguration is a property of the AWS::ApplicationAutoScaling::ScalingPolicy resource that specifies a step scaling policy configuration for Application Auto Scaling.

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

Parameters:

adjustment_type (Optional[str]) – Specifies whether the ScalingAdjustment value in the StepAdjustment property is an absolute number or a percentage of the current capacity.
cooldown (Union[int, float, None]) – The amount of time, in seconds, to wait for a previous scaling activity to take effect. If not specified, the default value is 300. For more information, see Cooldown period in the Application Auto Scaling User Guide .
metric_aggregation_type (Optional[str]) – The aggregation type for the CloudWatch metrics. Valid values are Minimum , Maximum , and Average . If the aggregation type is null, the value is treated as Average .
min_adjustment_magnitude (Union[int, float, None]) – The minimum value to scale by when the adjustment type is PercentChangeInCapacity . For example, suppose that you create a step scaling policy to scale out an Amazon ECS service by 25 percent and you specify a MinAdjustmentMagnitude of 2. If the service has 4 tasks and the scaling policy is performed, 25 percent of 4 is 1. However, because you specified a MinAdjustmentMagnitude of 2, Application Auto Scaling scales out the service by 2 tasks.
step_adjustments (Union[IResolvable, Sequence[Union[IResolvable, StepAdjustmentProperty, Dict[str, Any]]], None]) – 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.

Link:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-applicationautoscaling-scalingpolicy-stepscalingpolicyconfiguration.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_applicationautoscaling as appscaling

step_scaling_policy_configuration_property = appscaling.CfnScalingPolicy.StepScalingPolicyConfigurationProperty(
    adjustment_type="adjustmentType",
    cooldown=123,
    metric_aggregation_type="metricAggregationType",
    min_adjustment_magnitude=123,
    step_adjustments=[appscaling.CfnScalingPolicy.StepAdjustmentProperty(
        scaling_adjustment=123,

        # the properties below are optional
        metric_interval_lower_bound=123,
        metric_interval_upper_bound=123
    )]
)

Attributes

adjustment_type

Specifies whether the ScalingAdjustment value in the StepAdjustment property is an absolute number or a percentage of the current capacity.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-applicationautoscaling-scalingpolicy-stepscalingpolicyconfiguration.html#cfn-applicationautoscaling-scalingpolicy-stepscalingpolicyconfiguration-adjustmenttype

cooldown

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 .

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-applicationautoscaling-scalingpolicy-stepscalingpolicyconfiguration.html#cfn-applicationautoscaling-scalingpolicy-stepscalingpolicyconfiguration-cooldown

metric_aggregation_type

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 .

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-applicationautoscaling-scalingpolicy-stepscalingpolicyconfiguration.html#cfn-applicationautoscaling-scalingpolicy-stepscalingpolicyconfiguration-metricaggregationtype

min_adjustment_magnitude

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.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-applicationautoscaling-scalingpolicy-stepscalingpolicyconfiguration.html#cfn-applicationautoscaling-scalingpolicy-stepscalingpolicyconfiguration-minadjustmentmagnitude

step_adjustments

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.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-applicationautoscaling-scalingpolicy-stepscalingpolicyconfiguration.html#cfn-applicationautoscaling-scalingpolicy-stepscalingpolicyconfiguration-stepadjustments

TargetTrackingScalingPolicyConfigurationProperty

class CfnScalingPolicy.TargetTrackingScalingPolicyConfigurationProperty(*, target_value, customized_metric_specification=None, disable_scale_in=None, predefined_metric_specification=None, scale_in_cooldown=None, scale_out_cooldown=None)

Bases: object

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

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

Parameters:

target_value (Union[int, float]) – The target value for the metric. Although this property accepts numbers of type Double, it won’t accept values that are either too small or too large. Values must be in the range of -2^360 to 2^360. The value must be a valid number based on the choice of metric. For example, if the metric is CPU utilization, then the target value is a percent value that represents how much of the CPU can be used before scaling out.
customized_metric_specification (Union[IResolvable, CustomizedMetricSpecificationProperty, Dict[str, Any], None]) – A customized metric. You can specify either a predefined metric or a customized metric.
disable_scale_in (Union[bool, IResolvable, None]) – Indicates whether scale in by the target tracking scaling policy is disabled. If the value is true , scale in is disabled and the target tracking scaling policy won’t remove capacity from the scalable target. Otherwise, scale in is enabled and the target tracking scaling policy can remove capacity from the scalable target. The default value is false .
predefined_metric_specification (Union[IResolvable, PredefinedMetricSpecificationProperty, Dict[str, Any], None]) – A predefined metric. You can specify either a predefined metric or a customized metric.
scale_in_cooldown (Union[int, float, None]) – The amount of time, in seconds, after a scale-in activity completes before another scale-in activity can start. For more information and for default values, see Define cooldown periods in the Application Auto Scaling User Guide .
scale_out_cooldown (Union[int, float, None]) –
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 .

Link:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-applicationautoscaling-scalingpolicy-targettrackingscalingpolicyconfiguration.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_applicationautoscaling as appscaling

target_tracking_scaling_policy_configuration_property = appscaling.CfnScalingPolicy.TargetTrackingScalingPolicyConfigurationProperty(
    target_value=123,

    # the properties below are optional
    customized_metric_specification=appscaling.CfnScalingPolicy.CustomizedMetricSpecificationProperty(
        metric_name="metricName",
        namespace="namespace",
        statistic="statistic",

        # the properties below are optional
        dimensions=[appscaling.CfnScalingPolicy.MetricDimensionProperty(
            name="name",
            value="value"
        )],
        unit="unit"
    ),
    disable_scale_in=False,
    predefined_metric_specification=appscaling.CfnScalingPolicy.PredefinedMetricSpecificationProperty(
        predefined_metric_type="predefinedMetricType",

        # the properties below are optional
        resource_label="resourceLabel"
    ),
    scale_in_cooldown=123,
    scale_out_cooldown=123
)

Attributes

customized_metric_specification

A customized metric.

You can specify either a predefined metric or a customized metric.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-applicationautoscaling-scalingpolicy-targettrackingscalingpolicyconfiguration.html#cfn-applicationautoscaling-scalingpolicy-targettrackingscalingpolicyconfiguration-customizedmetricspecification

disable_scale_in

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 .

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-applicationautoscaling-scalingpolicy-targettrackingscalingpolicyconfiguration.html#cfn-applicationautoscaling-scalingpolicy-targettrackingscalingpolicyconfiguration-disablescalein

predefined_metric_specification

A predefined metric.

You can specify either a predefined metric or a customized metric.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-applicationautoscaling-scalingpolicy-targettrackingscalingpolicyconfiguration.html#cfn-applicationautoscaling-scalingpolicy-targettrackingscalingpolicyconfiguration-predefinedmetricspecification

scale_in_cooldown

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 .

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-applicationautoscaling-scalingpolicy-targettrackingscalingpolicyconfiguration.html#cfn-applicationautoscaling-scalingpolicy-targettrackingscalingpolicyconfiguration-scaleincooldown

scale_out_cooldown

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 .

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-applicationautoscaling-scalingpolicy-targettrackingscalingpolicyconfiguration.html#cfn-applicationautoscaling-scalingpolicy-targettrackingscalingpolicyconfiguration-scaleoutcooldown

target_value

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.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-applicationautoscaling-scalingpolicy-targettrackingscalingpolicyconfiguration.html#cfn-applicationautoscaling-scalingpolicy-targettrackingscalingpolicyconfiguration-targetvalue