Interface BasicStepScalingPolicyProps
- All Superinterfaces:
software.amazon.jsii.JsiiSerializable
- All Known Subinterfaces:
StepScalingPolicyProps
- All Known Implementing Classes:
BasicStepScalingPolicyProps.Jsii$Proxy
,StepScalingPolicyProps.Jsii$Proxy
ScalableAttribute capacity; Metric cpuUtilization; capacity.scaleOnMetric("ScaleToCPU", BasicStepScalingPolicyProps.builder() .metric(cpuUtilization) .scalingSteps(List.of(ScalingInterval.builder().upper(10).change(-1).build(), ScalingInterval.builder().lower(50).change(+1).build(), ScalingInterval.builder().lower(70).change(+3).build())) // Change this to AdjustmentType.PercentChangeInCapacity to interpret the // 'change' numbers before as percentages instead of capacity counts. .adjustmentType(AdjustmentType.CHANGE_IN_CAPACITY) .build());
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Nested Class Summary
Modifier and TypeInterfaceDescriptionstatic final class
A builder forBasicStepScalingPolicyProps
static final class
An implementation forBasicStepScalingPolicyProps
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Method Summary
Modifier and TypeMethodDescriptionbuilder()
default AdjustmentType
How the adjustment numbers inside 'intervals' are interpreted.default Duration
Grace period after scaling activity.default Number
The number of data points out of the evaluation periods that must be breaching to trigger a scaling action.default Number
How many evaluation periods of the metric to wait before triggering a scaling action.Metric to scale on.default MetricAggregationType
Aggregation to apply to all data points over the evaluation periods.default Number
Minimum absolute number to adjust capacity with as result of percentage scaling.The intervals for scaling.Methods inherited from interface software.amazon.jsii.JsiiSerializable
$jsii$toJson
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Method Details
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getMetric
Metric to scale on. -
getScalingSteps
The intervals for scaling.Maps a range of metric values to a particular scaling behavior.
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getAdjustmentType
How the adjustment numbers inside 'intervals' are interpreted.Default: ChangeInCapacity
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getCooldown
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
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getDatapointsToAlarm
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
.Default: `evaluationPeriods`
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getEvaluationPeriods
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.Default: 1
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getMetricAggregationType
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.
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getMinAdjustmentMagnitude
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
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builder
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