@Generated(value="jsii-pacmak/1.73.0 (build 6faeda3)",
date="2023-01-31T18:36:51.677Z")
public interface BasicStepScalingPolicyProps
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());
Modifier and Type | Interface and Description |
---|---|
static class |
BasicStepScalingPolicyProps.Builder
A builder for
BasicStepScalingPolicyProps |
static class |
BasicStepScalingPolicyProps.Jsii$Proxy
An implementation for
BasicStepScalingPolicyProps |
Modifier and Type | Method and Description |
---|---|
static BasicStepScalingPolicyProps.Builder |
builder() |
default AdjustmentType |
getAdjustmentType()
How the adjustment numbers inside 'intervals' are interpreted.
|
default Duration |
getCooldown()
Grace period after scaling activity.
|
default java.lang.Number |
getDatapointsToAlarm()
The number of data points out of the evaluation periods that must be breaching to trigger a scaling action.
|
default java.lang.Number |
getEvaluationPeriods()
How many evaluation periods of the metric to wait before triggering a scaling action.
|
IMetric |
getMetric()
Metric to scale on.
|
default MetricAggregationType |
getMetricAggregationType()
Aggregation to apply to all data points over the evaluation periods.
|
default java.lang.Number |
getMinAdjustmentMagnitude()
Minimum absolute number to adjust capacity with as result of percentage scaling.
|
java.util.List<ScalingInterval> |
getScalingSteps()
The intervals for scaling.
|
IMetric getMetric()
java.util.List<ScalingInterval> getScalingSteps()
Maps a range of metric values to a particular scaling behavior.
default AdjustmentType getAdjustmentType()
Default: ChangeInCapacity
default Duration getCooldown()
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
default java.lang.Number getDatapointsToAlarm()
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`
default java.lang.Number getEvaluationPeriods()
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
default MetricAggregationType getMetricAggregationType()
Only has meaning if evaluationPeriods != 1
.
Default: - The statistic from the metric if applicable (MIN, MAX, AVERAGE), otherwise AVERAGE.
default java.lang.Number getMinAdjustmentMagnitude()
Only when using AdjustmentType = PercentChangeInCapacity, this number controls the minimum absolute effect size.
Default: No minimum scaling effect
static BasicStepScalingPolicyProps.Builder builder()