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Build cloud applications and infrastructure by combining the safety and reliability of infrastructure as code with the power of the Kotlin programming language.

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

package com.pulumi.gcp.spanner.kotlin.inputs

import com.pulumi.core.Output
import com.pulumi.core.Output.of
import com.pulumi.gcp.spanner.inputs.InstanceAutoscalingConfigArgs.builder
import com.pulumi.kotlin.ConvertibleToJava
import com.pulumi.kotlin.PulumiTagMarker
import com.pulumi.kotlin.applySuspend
import kotlin.Suppress
import kotlin.Unit
import kotlin.jvm.JvmName

/**
 *
 * @property autoscalingLimits Defines scale in controls to reduce the risk of response latency
 * and outages due to abrupt scale-in events. Users can define the minimum and
 * maximum compute capacity allocated to the instance, and the autoscaler will
 * only scale within that range. Users can either use nodes or processing
 * units to specify the limits, but should use the same unit to set both the
 * min_limit and max_limit.
 * Structure is documented below.
 * @property autoscalingTargets Defines scale in controls to reduce the risk of response latency
 * and outages due to abrupt scale-in events
 * Structure is documented below.
 */
public data class InstanceAutoscalingConfigArgs(
    public val autoscalingLimits: Output? = null,
    public val autoscalingTargets: Output? = null,
) : ConvertibleToJava {
    override fun toJava(): com.pulumi.gcp.spanner.inputs.InstanceAutoscalingConfigArgs =
        com.pulumi.gcp.spanner.inputs.InstanceAutoscalingConfigArgs.builder()
            .autoscalingLimits(autoscalingLimits?.applyValue({ args0 -> args0.let({ args0 -> args0.toJava() }) }))
            .autoscalingTargets(
                autoscalingTargets?.applyValue({ args0 ->
                    args0.let({ args0 ->
                        args0.toJava()
                    })
                }),
            ).build()
}

/**
 * Builder for [InstanceAutoscalingConfigArgs].
 */
@PulumiTagMarker
public class InstanceAutoscalingConfigArgsBuilder internal constructor() {
    private var autoscalingLimits: Output? = null

    private var autoscalingTargets: Output? = null

    /**
     * @param value Defines scale in controls to reduce the risk of response latency
     * and outages due to abrupt scale-in events. Users can define the minimum and
     * maximum compute capacity allocated to the instance, and the autoscaler will
     * only scale within that range. Users can either use nodes or processing
     * units to specify the limits, but should use the same unit to set both the
     * min_limit and max_limit.
     * Structure is documented below.
     */
    @JvmName("fdocwauovymongug")
    public suspend fun autoscalingLimits(`value`: Output) {
        this.autoscalingLimits = value
    }

    /**
     * @param value Defines scale in controls to reduce the risk of response latency
     * and outages due to abrupt scale-in events
     * Structure is documented below.
     */
    @JvmName("mmonwhiethajwsvr")
    public suspend fun autoscalingTargets(`value`: Output) {
        this.autoscalingTargets = value
    }

    /**
     * @param value Defines scale in controls to reduce the risk of response latency
     * and outages due to abrupt scale-in events. Users can define the minimum and
     * maximum compute capacity allocated to the instance, and the autoscaler will
     * only scale within that range. Users can either use nodes or processing
     * units to specify the limits, but should use the same unit to set both the
     * min_limit and max_limit.
     * Structure is documented below.
     */
    @JvmName("nshltjtdvmotkwes")
    public suspend fun autoscalingLimits(`value`: InstanceAutoscalingConfigAutoscalingLimitsArgs?) {
        val toBeMapped = value
        val mapped = toBeMapped?.let({ args0 -> of(args0) })
        this.autoscalingLimits = mapped
    }

    /**
     * @param argument Defines scale in controls to reduce the risk of response latency
     * and outages due to abrupt scale-in events. Users can define the minimum and
     * maximum compute capacity allocated to the instance, and the autoscaler will
     * only scale within that range. Users can either use nodes or processing
     * units to specify the limits, but should use the same unit to set both the
     * min_limit and max_limit.
     * Structure is documented below.
     */
    @JvmName("jvmjftantbiaxudm")
    public suspend fun autoscalingLimits(argument: suspend InstanceAutoscalingConfigAutoscalingLimitsArgsBuilder.() -> Unit) {
        val toBeMapped = InstanceAutoscalingConfigAutoscalingLimitsArgsBuilder().applySuspend {
            argument()
        }.build()
        val mapped = of(toBeMapped)
        this.autoscalingLimits = mapped
    }

    /**
     * @param value Defines scale in controls to reduce the risk of response latency
     * and outages due to abrupt scale-in events
     * Structure is documented below.
     */
    @JvmName("hwnufpxlyfhbwdbt")
    public suspend fun autoscalingTargets(`value`: InstanceAutoscalingConfigAutoscalingTargetsArgs?) {
        val toBeMapped = value
        val mapped = toBeMapped?.let({ args0 -> of(args0) })
        this.autoscalingTargets = mapped
    }

    /**
     * @param argument Defines scale in controls to reduce the risk of response latency
     * and outages due to abrupt scale-in events
     * Structure is documented below.
     */
    @JvmName("glrgfqwsinclstle")
    public suspend fun autoscalingTargets(argument: suspend InstanceAutoscalingConfigAutoscalingTargetsArgsBuilder.() -> Unit) {
        val toBeMapped = InstanceAutoscalingConfigAutoscalingTargetsArgsBuilder().applySuspend {
            argument()
        }.build()
        val mapped = of(toBeMapped)
        this.autoscalingTargets = mapped
    }

    internal fun build(): InstanceAutoscalingConfigArgs = InstanceAutoscalingConfigArgs(
        autoscalingLimits = autoscalingLimits,
        autoscalingTargets = autoscalingTargets,
    )
}




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