class StepScalingPolicy (construct)

Language	Type name
.NET	Amazon.CDK.AWS.AutoScaling.StepScalingPolicy
Go	github.com/aws/aws-cdk-go/awscdk/v2/awsautoscaling#StepScalingPolicy
Java	software.amazon.awscdk.services.autoscaling.StepScalingPolicy
Python	aws_cdk.aws_autoscaling.StepScalingPolicy
TypeScript (source)	aws-cdk-lib » aws_autoscaling » StepScalingPolicy

Implements IConstruct, IDependable

Define a acaling strategy which scales depending on absolute values of some metric.

You can specify the scaling behavior for various values of the metric.

Implemented using one or more CloudWatch alarms and Step Scaling Policies.

Example

// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import * as cdk from 'aws-cdk-lib';
import { aws_autoscaling as autoscaling } from 'aws-cdk-lib';
import { aws_cloudwatch as cloudwatch } from 'aws-cdk-lib';

declare const autoScalingGroup: autoscaling.AutoScalingGroup;
declare const metric: cloudwatch.Metric;
const stepScalingPolicy = new autoscaling.StepScalingPolicy(this, 'MyStepScalingPolicy', {
  autoScalingGroup: autoScalingGroup,
  metric: metric,
  scalingSteps: [{
    change: 123,

    // the properties below are optional
    lower: 123,
    upper: 123,
  }],

  // the properties below are optional
  adjustmentType: autoscaling.AdjustmentType.CHANGE_IN_CAPACITY,
  cooldown: cdk.Duration.minutes(30),
  datapointsToAlarm: 123,
  estimatedInstanceWarmup: cdk.Duration.minutes(30),
  evaluationPeriods: 123,
  metricAggregationType: autoscaling.MetricAggregationType.AVERAGE,
  minAdjustmentMagnitude: 123,
});

Initializer

new StepScalingPolicy(scope: Construct, id: string, props: StepScalingPolicyProps)

Parameters

• scope Construct
• id string
• props StepScalingPolicyProps

Construct Props

Name	Type	Description
autoScalingGroup	IAutoScalingGroup	The auto scaling group.
metric	IMetric	Metric to scale on.
scalingSteps	ScalingInterval[]	The intervals for scaling.
adjustmentType?	AdjustmentType	How the adjustment numbers inside 'intervals' are interpreted.
cooldown?	Duration	Grace period after scaling activity.
datapointsToAlarm?	number	The number of data points out of the evaluation periods that must be breaching to trigger a scaling action.
estimatedInstanceWarmup?	Duration	Estimated time until a newly launched instance can send metrics to CloudWatch.
evaluationPeriods?	number	How many evaluation periods of the metric to wait before triggering a scaling action.
metricAggregationType?	MetricAggregationType	Aggregation to apply to all data points over the evaluation periods.
minAdjustmentMagnitude?	number	Minimum absolute number to adjust capacity with as result of percentage scaling.

---

autoScalingGroup

Type: IAutoScalingGroup

The auto scaling group.

---

metric

Type: IMetric

Metric to scale on.

---

scalingSteps

Type: ScalingInterval[]

The intervals for scaling.

Maps a range of metric values to a particular scaling behavior.

Must be between 2 and 40 steps.

---

adjustmentType?

Type: AdjustmentType (optional, default: ChangeInCapacity)

How the adjustment numbers inside 'intervals' are interpreted.

---

cooldown?

Type: Duration (optional, default: Default cooldown period on your AutoScalingGroup)

Grace period after scaling activity.

---

datapointsToAlarm?

Type: number (optional, default: Same as evaluationPeriods)

The number of data points out of the evaluation periods that must be breaching to trigger a scaling action.

Creates an "M out of N" alarm, where this property is the M and the value set for evaluationPeriods is the N value.

Only has meaning if evaluationPeriods != 1. Must be less than or equal to evaluationPeriods.

---

estimatedInstanceWarmup?

Type: Duration (optional, default: Same as the cooldown)

Estimated time until a newly launched instance can send metrics to CloudWatch.

---

evaluationPeriods?

Type: number (optional, default: 1)

How many evaluation periods of the metric to wait before triggering a scaling action.

Raising this value can be used to smooth out the metric, at the expense of slower response times.

If datapointsToAlarm is not set, then all data points in the evaluation period must meet the criteria to trigger a scaling action.

---

metricAggregationType?

Type: MetricAggregationType (optional, default: The statistic from the metric if applicable (MIN, MAX, AVERAGE), otherwise AVERAGE.)

Aggregation to apply to all data points over the evaluation periods.

Only has meaning if evaluationPeriods != 1.

---

minAdjustmentMagnitude?

Type: number (optional, default: No minimum scaling effect)

Minimum absolute number to adjust capacity with as result of percentage scaling.

Only when using AdjustmentType = PercentChangeInCapacity, this number controls the minimum absolute effect size.

Properties

Name	Type	Description
node	Node	The tree node.
lowerAction?	StepScalingAction
lowerAlarm?	Alarm
upperAction?	StepScalingAction
upperAlarm?	Alarm

---

node

Type: Node

The tree node.

---

lowerAction?

Type: StepScalingAction (optional)

---

lowerAlarm?

Type: Alarm (optional)

---

upperAction?

Type: StepScalingAction (optional)

---

upperAlarm?

Type: Alarm (optional)

Methods

Name	Description
toString()	Returns a string representation of this construct.

---

toString()

public toString(): string

Returns

• string

Returns a string representation of this construct.