TargetTrackingScalingPolicy
- class aws_cdk.aws_autoscaling.TargetTrackingScalingPolicy(scope, id, *, auto_scaling_group, target_value, custom_metric=None, predefined_metric=None, resource_label=None, cooldown=None, disable_scale_in=None, estimated_instance_warmup=None)
Bases:
Construct
- 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 as cdk from aws_cdk import aws_autoscaling as autoscaling from aws_cdk import aws_cloudwatch as cloudwatch # auto_scaling_group: autoscaling.AutoScalingGroup # metric: cloudwatch.Metric target_tracking_scaling_policy = autoscaling.TargetTrackingScalingPolicy(self, "MyTargetTrackingScalingPolicy", auto_scaling_group=auto_scaling_group, target_value=123, # the properties below are optional cooldown=cdk.Duration.minutes(30), custom_metric=metric, disable_scale_in=False, estimated_instance_warmup=cdk.Duration.minutes(30), predefined_metric=autoscaling.PredefinedMetric.ASG_AVERAGE_CPU_UTILIZATION, resource_label="resourceLabel" )
- Parameters:
scope (
Construct
) –id (
str
) –auto_scaling_group (
IAutoScalingGroup
) –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 metric.resource_label (
Optional
[str
]) – The resource label associated with the predefined metric. Should be supplied if the predefined metric is ALBRequestCountPerTarget, and the format should be: app///targetgroup// Default: - No resource label.cooldown (
Optional
[Duration
]) – Period after a scaling completes before another scaling activity can start. Default: - The default cooldown configured on the AutoScalingGroup.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 autoscaling group. Otherwise, scale in is enabled and the target tracking policy can remove capacity from the group. Default: falseestimated_instance_warmup (
Optional
[Duration
]) – Estimated time until a newly launched instance can send metrics to CloudWatch. Default: - Same as the cooldown.
Methods
- to_string()
Returns a string representation of this construct.
- Return type:
str
Attributes
- node
The tree node.
- scaling_policy_arn
ARN of the scaling policy.
Static Methods
- classmethod is_construct(x)
Checks if
x
is a construct.Use this method instead of
instanceof
to properly detectConstruct
instances, even when the construct library is symlinked.Explanation: in JavaScript, multiple copies of the
constructs
library on disk are seen as independent, completely different libraries. As a consequence, the classConstruct
in each copy of theconstructs
library is seen as a different class, and an instance of one class will not test asinstanceof
the other class.npm install
will not create installations like this, but users may manually symlink construct libraries together or use a monorepo tool: in those cases, multiple copies of theconstructs
library can be accidentally installed, andinstanceof
will behave unpredictably. It is safest to avoid usinginstanceof
, and using this type-testing method instead.- Parameters:
x (
Any
) – Any object.- Return type:
bool
- Returns:
true if
x
is an object created from a class which extendsConstruct
.