interface BasicStepScalingPolicyProps

Language	Type name
.NET	Amazon.CDK.AWS.ApplicationAutoScaling.BasicStepScalingPolicyProps
Java	software.amazon.awscdk.services.applicationautoscaling.BasicStepScalingPolicyProps
Python	aws_cdk.aws_applicationautoscaling.BasicStepScalingPolicyProps
TypeScript (source)	@aws-cdk/aws-applicationautoscaling » BasicStepScalingPolicyProps

Example

declare const capacity: ScalableAttribute;
declare const cpuUtilization: cloudwatch.Metric;

capacity.scaleOnMetric('ScaleToCPU', {
  metric: cpuUtilization,
  scalingSteps: [
    { upper: 10, change: -1 },
    { lower: 50, change: +1 },
    { lower: 70, change: +3 },
  ],

  // Change this to AdjustmentType.PercentChangeInCapacity to interpret the
  // 'change' numbers before as percentages instead of capacity counts.
  adjustmentType: appscaling.AdjustmentType.CHANGE_IN_CAPACITY,
});

Properties

Name	Type	Description
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.
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.

---

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.

---

adjustmentType?

Type: AdjustmentType (optional, default: ChangeInCapacity)

How the adjustment numbers inside 'intervals' are interpreted.

---

cooldown?

Type: Duration (optional, default: No cooldown period)

Grace period after scaling activity.

Subsequent scale outs during the cooldown period are squashed so that only the biggest scale out happens.

Subsequent scale ins during the cooldown period are ignored.

See also: https://docs.aws.amazon.com/autoscaling/application/APIReference/API_StepScalingPolicyConfiguration.html

---

datapointsToAlarm?

Type: number (optional, default: 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.

---

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.