ScalingPolicyPredictiveScalingPolicyConfigurationArgs

data class ScalingPolicyPredictiveScalingPolicyConfigurationArgs(val maxCapacityBreachBehavior: Output<String>? = null, val maxCapacityBuffer: Output<Int>? = null, val metricSpecifications: Output<List<ScalingPolicyPredictiveScalingMetricSpecificationArgs>>, val mode: Output<String>? = null, val schedulingBufferTime: Output<Int>? = null) : ConvertibleToJava<ScalingPolicyPredictiveScalingPolicyConfigurationArgs>

Represents a predictive scaling policy configuration.

Constructors

constructor(maxCapacityBreachBehavior: Output<String>? = null, maxCapacityBuffer: Output<Int>? = null, metricSpecifications: Output<List<ScalingPolicyPredictiveScalingMetricSpecificationArgs>>, mode: Output<String>? = null, schedulingBufferTime: Output<Int>? = null)

Properties

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val maxCapacityBreachBehavior: Output<String>? = null

Defines the behavior that should be applied if the forecast capacity approaches or exceeds the maximum capacity. Defaults to `HonorMaxCapacity` if not specified.

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val maxCapacityBuffer: Output<Int>? = null

The size of the capacity buffer to use when the forecast capacity is close to or exceeds the maximum capacity. The value is specified as a percentage relative to the forecast capacity. For example, if the buffer is 10, this means a 10 percent buffer, such that if the forecast capacity is 50, and the maximum capacity is 40, then the effective maximum capacity is 55. Required if the `MaxCapacityBreachBehavior` property is set to `IncreaseMaxCapacity`, and cannot be used otherwise.

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This structure includes the metrics and target utilization to use for predictive scaling. This is an array, but we currently only support a single metric specification. That is, you can specify a target value and a single metric pair, or a target value and one scaling metric and one load metric.

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val mode: Output<String>? = null

The predictive scaling mode. Defaults to `ForecastOnly` if not specified.

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val schedulingBufferTime: Output<Int>? = null

The amount of time, in seconds, that the start time can be advanced. The value must be less than the forecast interval duration of 3600 seconds (60 minutes). Defaults to 300 seconds if not specified.

Functions

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open override fun toJava(): ScalingPolicyPredictiveScalingPolicyConfigurationArgs