TrackCustomMetricProps
- class aws_cdk.aws_ecs.TrackCustomMetricProps(*, disable_scale_in=None, policy_name=None, scale_in_cooldown=None, scale_out_cooldown=None, metric, target_value)
Bases:
BaseTargetTrackingProps
The properties for enabling target tracking scaling based on a custom CloudWatch metric.
- Parameters:
disable_scale_in (
Optional
[bool
]) – Indicates whether scale in by the target tracking policy is disabled. If the value is true, scale in is disabled and the target tracking policy won’t remove capacity from the scalable resource. Otherwise, scale in is enabled and the target tracking policy can remove capacity from the scalable resource. Default: falsepolicy_name (
Optional
[str
]) – A name for the scaling policy. Default: - Automatically generated name.scale_in_cooldown (
Optional
[Duration
]) – Period after a scale in activity completes before another scale in activity can start. Default: Duration.seconds(300) for the following scalable targets: ECS services, Spot Fleet requests, EMR clusters, AppStream 2.0 fleets, Aurora DB clusters, Amazon SageMaker endpoint variants, Custom resources. For all other scalable targets, the default value is Duration.seconds(0): DynamoDB tables, DynamoDB global secondary indexes, Amazon Comprehend document classification endpoints, Lambda provisioned concurrencyscale_out_cooldown (
Optional
[Duration
]) – Period after a scale out activity completes before another scale out activity can start. Default: Duration.seconds(300) for the following scalable targets: ECS services, Spot Fleet requests, EMR clusters, AppStream 2.0 fleets, Aurora DB clusters, Amazon SageMaker endpoint variants, Custom resources. For all other scalable targets, the default value is Duration.seconds(0): DynamoDB tables, DynamoDB global secondary indexes, Amazon Comprehend document classification endpoints, Lambda provisioned concurrencymetric (
IMetric
) – The custom CloudWatch metric to track. The metric must represent utilization; that is, you will always get the following behavior: - metric > targetValue => scale out - metric < targetValue => scale intarget_value (
Union
[int
,float
]) – The target value for the custom CloudWatch metric.
- 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_cloudwatch as cloudwatch import aws_cdk.aws_ecs as ecs import aws_cdk.core as cdk # metric: cloudwatch.Metric track_custom_metric_props = ecs.TrackCustomMetricProps( metric=metric, target_value=123, # the properties below are optional disable_scale_in=False, policy_name="policyName", scale_in_cooldown=cdk.Duration.minutes(30), scale_out_cooldown=cdk.Duration.minutes(30) )
Attributes
- disable_scale_in
Indicates whether scale in by the target tracking policy is disabled.
If the value is true, scale in is disabled and the target tracking policy won’t remove capacity from the scalable resource. Otherwise, scale in is enabled and the target tracking policy can remove capacity from the scalable resource.
- Default:
false
- metric
The custom CloudWatch metric to track.
The metric must represent utilization; that is, you will always get the following behavior:
metric > targetValue => scale out
metric < targetValue => scale in
- policy_name
A name for the scaling policy.
- Default:
Automatically generated name.
- scale_in_cooldown
Period after a scale in activity completes before another scale in activity can start.
- Default:
Duration.seconds(300) for the following scalable targets: ECS services, Spot Fleet requests, EMR clusters, AppStream 2.0 fleets, Aurora DB clusters, Amazon SageMaker endpoint variants, Custom resources. For all other scalable targets, the default value is Duration.seconds(0): DynamoDB tables, DynamoDB global secondary indexes, Amazon Comprehend document classification endpoints, Lambda provisioned concurrency
- scale_out_cooldown
Period after a scale out activity completes before another scale out activity can start.
- Default:
Duration.seconds(300) for the following scalable targets: ECS services, Spot Fleet requests, EMR clusters, AppStream 2.0 fleets, Aurora DB clusters, Amazon SageMaker endpoint variants, Custom resources. For all other scalable targets, the default value is Duration.seconds(0): DynamoDB tables, DynamoDB global secondary indexes, Amazon Comprehend document classification endpoints, Lambda provisioned concurrency
- target_value
The target value for the custom CloudWatch metric.