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com.pulumi.aws.autoscaling.kotlin.inputs.PolicyPredictiveScalingConfigurationArgs.kt Maven / Gradle / Ivy

@file:Suppress("NAME_SHADOWING", "DEPRECATION")

package com.pulumi.aws.autoscaling.kotlin.inputs

import com.pulumi.aws.autoscaling.inputs.PolicyPredictiveScalingConfigurationArgs.builder
import com.pulumi.core.Output
import com.pulumi.core.Output.of
import com.pulumi.kotlin.ConvertibleToJava
import com.pulumi.kotlin.PulumiNullFieldException
import com.pulumi.kotlin.PulumiTagMarker
import com.pulumi.kotlin.applySuspend
import kotlin.String
import kotlin.Suppress
import kotlin.Unit
import kotlin.jvm.JvmName

/**
 *
 * @property maxCapacityBreachBehavior Defines the behavior that should be applied if the forecast capacity approaches or exceeds the maximum capacity of the Auto Scaling group. Valid values are `HonorMaxCapacity` or `IncreaseMaxCapacity`. Default is `HonorMaxCapacity`.
 * @property maxCapacityBuffer Size of the capacity buffer to use when the forecast capacity is close to or exceeds the maximum capacity. Valid range is `0` to `100`. If set to `0`, Amazon EC2 Auto Scaling may scale capacity higher than the maximum capacity to equal but not exceed forecast capacity.
 * @property metricSpecification This structure includes the metrics and target utilization to use for predictive scaling.
 * @property mode Predictive scaling mode. Valid values are `ForecastAndScale` and `ForecastOnly`. Default is `ForecastOnly`.
 * @property schedulingBufferTime Amount of time, in seconds, by which the instance launch time can be advanced. Minimum is `0`.
 */
public data class PolicyPredictiveScalingConfigurationArgs(
    public val maxCapacityBreachBehavior: Output? = null,
    public val maxCapacityBuffer: Output? = null,
    public val metricSpecification: Output,
    public val mode: Output? = null,
    public val schedulingBufferTime: Output? = null,
) : ConvertibleToJava {
    override fun toJava(): com.pulumi.aws.autoscaling.inputs.PolicyPredictiveScalingConfigurationArgs = com.pulumi.aws.autoscaling.inputs.PolicyPredictiveScalingConfigurationArgs.builder()
        .maxCapacityBreachBehavior(maxCapacityBreachBehavior?.applyValue({ args0 -> args0 }))
        .maxCapacityBuffer(maxCapacityBuffer?.applyValue({ args0 -> args0 }))
        .metricSpecification(
            metricSpecification.applyValue({ args0 ->
                args0.let({ args0 ->
                    args0.toJava()
                })
            }),
        )
        .mode(mode?.applyValue({ args0 -> args0 }))
        .schedulingBufferTime(schedulingBufferTime?.applyValue({ args0 -> args0 })).build()
}

/**
 * Builder for [PolicyPredictiveScalingConfigurationArgs].
 */
@PulumiTagMarker
public class PolicyPredictiveScalingConfigurationArgsBuilder internal constructor() {
    private var maxCapacityBreachBehavior: Output? = null

    private var maxCapacityBuffer: Output? = null

    private var metricSpecification:
        Output? = null

    private var mode: Output? = null

    private var schedulingBufferTime: Output? = null

    /**
     * @param value Defines the behavior that should be applied if the forecast capacity approaches or exceeds the maximum capacity of the Auto Scaling group. Valid values are `HonorMaxCapacity` or `IncreaseMaxCapacity`. Default is `HonorMaxCapacity`.
     */
    @JvmName("xqpaqhxbiqadwdlo")
    public suspend fun maxCapacityBreachBehavior(`value`: Output) {
        this.maxCapacityBreachBehavior = value
    }

    /**
     * @param value Size of the capacity buffer to use when the forecast capacity is close to or exceeds the maximum capacity. Valid range is `0` to `100`. If set to `0`, Amazon EC2 Auto Scaling may scale capacity higher than the maximum capacity to equal but not exceed forecast capacity.
     */
    @JvmName("uobhakwaaibwpoch")
    public suspend fun maxCapacityBuffer(`value`: Output) {
        this.maxCapacityBuffer = value
    }

    /**
     * @param value This structure includes the metrics and target utilization to use for predictive scaling.
     */
    @JvmName("abxacsxswfpnqhiv")
    public suspend fun metricSpecification(`value`: Output) {
        this.metricSpecification = value
    }

    /**
     * @param value Predictive scaling mode. Valid values are `ForecastAndScale` and `ForecastOnly`. Default is `ForecastOnly`.
     */
    @JvmName("kupwuwbllnnoaiog")
    public suspend fun mode(`value`: Output) {
        this.mode = value
    }

    /**
     * @param value Amount of time, in seconds, by which the instance launch time can be advanced. Minimum is `0`.
     */
    @JvmName("koyaodnqdckrheys")
    public suspend fun schedulingBufferTime(`value`: Output) {
        this.schedulingBufferTime = value
    }

    /**
     * @param value Defines the behavior that should be applied if the forecast capacity approaches or exceeds the maximum capacity of the Auto Scaling group. Valid values are `HonorMaxCapacity` or `IncreaseMaxCapacity`. Default is `HonorMaxCapacity`.
     */
    @JvmName("lifrelyqsgcefipb")
    public suspend fun maxCapacityBreachBehavior(`value`: String?) {
        val toBeMapped = value
        val mapped = toBeMapped?.let({ args0 -> of(args0) })
        this.maxCapacityBreachBehavior = mapped
    }

    /**
     * @param value Size of the capacity buffer to use when the forecast capacity is close to or exceeds the maximum capacity. Valid range is `0` to `100`. If set to `0`, Amazon EC2 Auto Scaling may scale capacity higher than the maximum capacity to equal but not exceed forecast capacity.
     */
    @JvmName("gxiuxpirbxrqhwfc")
    public suspend fun maxCapacityBuffer(`value`: String?) {
        val toBeMapped = value
        val mapped = toBeMapped?.let({ args0 -> of(args0) })
        this.maxCapacityBuffer = mapped
    }

    /**
     * @param value This structure includes the metrics and target utilization to use for predictive scaling.
     */
    @JvmName("uguenakwpcwgsswu")
    public suspend fun metricSpecification(`value`: PolicyPredictiveScalingConfigurationMetricSpecificationArgs) {
        val toBeMapped = value
        val mapped = toBeMapped.let({ args0 -> of(args0) })
        this.metricSpecification = mapped
    }

    /**
     * @param argument This structure includes the metrics and target utilization to use for predictive scaling.
     */
    @JvmName("guudlyyaifshcuxy")
    public suspend fun metricSpecification(argument: suspend PolicyPredictiveScalingConfigurationMetricSpecificationArgsBuilder.() -> Unit) {
        val toBeMapped =
            PolicyPredictiveScalingConfigurationMetricSpecificationArgsBuilder().applySuspend {
                argument()
            }.build()
        val mapped = of(toBeMapped)
        this.metricSpecification = mapped
    }

    /**
     * @param value Predictive scaling mode. Valid values are `ForecastAndScale` and `ForecastOnly`. Default is `ForecastOnly`.
     */
    @JvmName("lvnvneddjvwftgwd")
    public suspend fun mode(`value`: String?) {
        val toBeMapped = value
        val mapped = toBeMapped?.let({ args0 -> of(args0) })
        this.mode = mapped
    }

    /**
     * @param value Amount of time, in seconds, by which the instance launch time can be advanced. Minimum is `0`.
     */
    @JvmName("duqhinmyywlwgrbl")
    public suspend fun schedulingBufferTime(`value`: String?) {
        val toBeMapped = value
        val mapped = toBeMapped?.let({ args0 -> of(args0) })
        this.schedulingBufferTime = mapped
    }

    internal fun build(): PolicyPredictiveScalingConfigurationArgs =
        PolicyPredictiveScalingConfigurationArgs(
            maxCapacityBreachBehavior = maxCapacityBreachBehavior,
            maxCapacityBuffer = maxCapacityBuffer,
            metricSpecification = metricSpecification ?: throw PulumiNullFieldException("metricSpecification"),
            mode = mode,
            schedulingBufferTime = schedulingBufferTime,
        )
}




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