software.amazon.awscdk.services.applicationautoscaling

Interface BasicStepScalingPolicyProps

All Superinterfaces:

software.amazon.jsii.JsiiSerializable

All Known Subinterfaces:

StepScalingPolicyProps

All Known Implementing Classes:

BasicStepScalingPolicyProps.Jsii$Proxy, StepScalingPolicyProps.Jsii$Proxy

@Generated(value="jsii-pacmak/1.29.0 (build 41df200)",
           date="2021-06-02T09:54:56.956Z")
 @Stability(value=Experimental)
public interface BasicStepScalingPolicyProps
extends software.amazon.jsii.JsiiSerializable

Nested Class Summary

Nested Classes

Modifier and Type	Interface and Description
static class	BasicStepScalingPolicyProps.Builder A builder for BasicStepScalingPolicyProps
static class	BasicStepScalingPolicyProps.Jsii$Proxy An implementation for BasicStepScalingPolicyProps

Method Summary

Modifier and Type	Method and Description
static BasicStepScalingPolicyProps.Builder	builder()
default AdjustmentType	getAdjustmentType() (experimental) How the adjustment numbers inside 'intervals' are interpreted.
default Duration	getCooldown() (experimental) Grace period after scaling activity.
default Number	getEvaluationPeriods() (experimental) How many evaluation periods of the metric to wait before triggering a scaling action.
IMetric	getMetric() (experimental) Metric to scale on.
default MetricAggregationType	getMetricAggregationType() (experimental) Aggregation to apply to all data points over the evaluation periods.
default Number	getMinAdjustmentMagnitude() (experimental) Minimum absolute number to adjust capacity with as result of percentage scaling.
List<ScalingInterval>	getScalingSteps() (experimental) The intervals for scaling.

Methods inherited from interface software.amazon.jsii.JsiiSerializable

$jsii$toJson

Method Detail

getMetric

@Stability(value=Experimental)
 @NotNull
IMetric getMetric()

(experimental) Metric to scale on.

getScalingSteps

@Stability(value=Experimental)
 @NotNull
List<ScalingInterval> getScalingSteps()

(experimental) The intervals for scaling.

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

getAdjustmentType

@Stability(value=Experimental)
 @Nullable
default AdjustmentType getAdjustmentType()

(experimental) How the adjustment numbers inside 'intervals' are interpreted.

Default: ChangeInCapacity

getCooldown

@Stability(value=Experimental)
 @Nullable
default Duration getCooldown()

(experimental) 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.

Default: No cooldown period

See Also:

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

getEvaluationPeriods

@Stability(value=Experimental)
 @Nullable
default Number getEvaluationPeriods()

(experimental) 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.

Default: 1

getMetricAggregationType

@Stability(value=Experimental)
 @Nullable
default MetricAggregationType getMetricAggregationType()

(experimental) Aggregation to apply to all data points over the evaluation periods.

Only has meaning if evaluationPeriods != 1.

Default: - The statistic from the metric if applicable (MIN, MAX, AVERAGE), otherwise AVERAGE.

getMinAdjustmentMagnitude

@Stability(value=Experimental)
 @Nullable
default Number getMinAdjustmentMagnitude()

(experimental) 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.

Default: No minimum scaling effect

builder

@Stability(value=Experimental)
static BasicStepScalingPolicyProps.Builder builder()

Returns:

a BasicStepScalingPolicyProps.Builder of BasicStepScalingPolicyProps