BasicTargetTrackingScalingPolicyProps

class aws_cdk.aws_applicationautoscaling.BasicTargetTrackingScalingPolicyProps(*, disable_scale_in=None, policy_name=None, scale_in_cooldown=None, scale_out_cooldown=None, target_value, custom_metric=None, predefined_metric=None, resource_label=None)

Bases: BaseTargetTrackingProps

Properties for a Target Tracking policy that include the metric but exclude the target.

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_value (Union[int, float]) – The target value for the metric.
custom_metric (Optional[IMetric]) – A custom metric for application autoscaling. The metric must track utilization. Scaling out will happen if the metric is higher than the target value, scaling in will happen in the metric is lower than the target value. Exactly one of customMetric or predefinedMetric must be specified. Default: - No custom metric.
predefined_metric (Optional[PredefinedMetric]) – A predefined metric for application autoscaling. The metric must track utilization. Scaling out will happen if the metric is higher than the target value, scaling in will happen in the metric is lower than the target value. Exactly one of customMetric or predefinedMetric must be specified. Default: - No predefined metrics.
resource_label (Optional[str]) – Identify the resource associated with the metric type. Only used for predefined metric ALBRequestCountPerTarget. Example value: app/<load-balancer-name>/<load-balancer-id>/targetgroup/<target-group-name>/<target-group-id> Default: - No resource label.

ExampleMetadata:

infused

Example:

shards_scalable_target = appscaling.ScalableTarget(self, "ElastiCacheRedisShardsScalableTarget",
    service_namespace=appscaling.ServiceNamespace.ELASTICACHE,
    scalable_dimension="elasticache:replication-group:NodeGroups",
    min_capacity=2,
    max_capacity=10,
    resource_id="replication-group/main-cluster"
)

shards_scalable_target.scale_to_track_metric("ElastiCacheRedisShardsCPUUtilization",
    target_value=20,
    predefined_metric=appscaling.PredefinedMetric.ELASTICACHE_PRIMARY_ENGINE_CPU_UTILIZATION
)

Attributes

custom_metric

A custom metric for application autoscaling.

The metric must track utilization. Scaling out will happen if the metric is higher than the target value, scaling in will happen in the metric is lower than the target value.

Exactly one of customMetric or predefinedMetric must be specified.

Default:

No custom metric.

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.

predefined_metric

A predefined metric for application autoscaling.

The metric must track utilization. Scaling out will happen if the metric is higher than the target value, scaling in will happen in the metric is lower than the target value.

Exactly one of customMetric or predefinedMetric must be specified.

Default:

No predefined metrics.

resource_label

Identify the resource associated with the metric type.

Only used for predefined metric ALBRequestCountPerTarget.

Example value: app/<load-balancer-name>/<load-balancer-id>/targetgroup/<target-group-name>/<target-group-id>

Default:

No resource label.

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 metric.