MemoryUtilizationScalingProps

class aws_cdk.aws_ecs.MemoryUtilizationScalingProps(*, disable_scale_in=None, policy_name=None, scale_in_cooldown=None, scale_out_cooldown=None, target_utilization_percent)

Bases: BaseTargetTrackingProps

The properties for enabling scaling based on memory utilization.

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: false

  • policy_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 concurrency

  • scale_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 concurrency

  • target_utilization_percent (Union[int, float]) – The target value for memory utilization across all tasks in the service.

ExampleMetadata:

infused

Example:

# cluster: ecs.Cluster

load_balanced_fargate_service = ecs_patterns.ApplicationLoadBalancedFargateService(self, "Service",
    cluster=cluster,
    memory_limit_mi_b=1024,
    desired_count=1,
    cpu=512,
    task_image_options=ecsPatterns.ApplicationLoadBalancedTaskImageOptions(
        image=ecs.ContainerImage.from_registry("amazon/amazon-ecs-sample")
    )
)

scalable_target = load_balanced_fargate_service.service.auto_scale_task_count(
    min_capacity=1,
    max_capacity=20
)

scalable_target.scale_on_cpu_utilization("CpuScaling",
    target_utilization_percent=50
)

scalable_target.scale_on_memory_utilization("MemoryScaling",
    target_utilization_percent=50
)

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

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_utilization_percent

The target value for memory utilization across all tasks in the service.