com.pulumi.gcp.vertex.kotlin.inputs.AiFeatureStoreOnlineServingConfigArgs.kt Maven / Gradle / Ivy
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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.
@file:Suppress("NAME_SHADOWING", "DEPRECATION")
package com.pulumi.gcp.vertex.kotlin.inputs
import com.pulumi.core.Output
import com.pulumi.core.Output.of
import com.pulumi.gcp.vertex.inputs.AiFeatureStoreOnlineServingConfigArgs.builder
import com.pulumi.kotlin.ConvertibleToJava
import com.pulumi.kotlin.PulumiTagMarker
import com.pulumi.kotlin.applySuspend
import kotlin.Int
import kotlin.Suppress
import kotlin.Unit
import kotlin.jvm.JvmName
/**
*
* @property fixedNodeCount The number of nodes for each cluster. The number of nodes will not scale automatically but can be scaled manually by providing different values when updating.
* @property scaling Online serving scaling configuration. Only one of fixedNodeCount and scaling can be set. Setting one will reset the other.
* Structure is documented below.
*/
public data class AiFeatureStoreOnlineServingConfigArgs(
public val fixedNodeCount: Output? = null,
public val scaling: Output? = null,
) : ConvertibleToJava {
override fun toJava(): com.pulumi.gcp.vertex.inputs.AiFeatureStoreOnlineServingConfigArgs =
com.pulumi.gcp.vertex.inputs.AiFeatureStoreOnlineServingConfigArgs.builder()
.fixedNodeCount(fixedNodeCount?.applyValue({ args0 -> args0 }))
.scaling(scaling?.applyValue({ args0 -> args0.let({ args0 -> args0.toJava() }) })).build()
}
/**
* Builder for [AiFeatureStoreOnlineServingConfigArgs].
*/
@PulumiTagMarker
public class AiFeatureStoreOnlineServingConfigArgsBuilder internal constructor() {
private var fixedNodeCount: Output? = null
private var scaling: Output? = null
/**
* @param value The number of nodes for each cluster. The number of nodes will not scale automatically but can be scaled manually by providing different values when updating.
*/
@JvmName("rnjnjwqlutcbiwbf")
public suspend fun fixedNodeCount(`value`: Output) {
this.fixedNodeCount = value
}
/**
* @param value Online serving scaling configuration. Only one of fixedNodeCount and scaling can be set. Setting one will reset the other.
* Structure is documented below.
*/
@JvmName("umtiiusubutixbcw")
public suspend fun scaling(`value`: Output) {
this.scaling = value
}
/**
* @param value The number of nodes for each cluster. The number of nodes will not scale automatically but can be scaled manually by providing different values when updating.
*/
@JvmName("ykuasvftptflgkff")
public suspend fun fixedNodeCount(`value`: Int?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.fixedNodeCount = mapped
}
/**
* @param value Online serving scaling configuration. Only one of fixedNodeCount and scaling can be set. Setting one will reset the other.
* Structure is documented below.
*/
@JvmName("khnypmavpekbgpsy")
public suspend fun scaling(`value`: AiFeatureStoreOnlineServingConfigScalingArgs?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.scaling = mapped
}
/**
* @param argument Online serving scaling configuration. Only one of fixedNodeCount and scaling can be set. Setting one will reset the other.
* Structure is documented below.
*/
@JvmName("qgdmimvhmghvjadi")
public suspend fun scaling(argument: suspend AiFeatureStoreOnlineServingConfigScalingArgsBuilder.() -> Unit) {
val toBeMapped = AiFeatureStoreOnlineServingConfigScalingArgsBuilder().applySuspend {
argument()
}.build()
val mapped = of(toBeMapped)
this.scaling = mapped
}
internal fun build(): AiFeatureStoreOnlineServingConfigArgs =
AiFeatureStoreOnlineServingConfigArgs(
fixedNodeCount = fixedNodeCount,
scaling = scaling,
)
}
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