com.pulumi.gcp.vertex.kotlin.inputs.AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArgs.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.AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArgs.builder
import com.pulumi.kotlin.ConvertibleToJava
import com.pulumi.kotlin.PulumiNullFieldException
import com.pulumi.kotlin.PulumiTagMarker
import kotlin.Int
import kotlin.String
import kotlin.Suppress
import kotlin.jvm.JvmName
/**
*
* @property metricName The resource metric name. Supported metrics: For Online Prediction: * `aiplatform.googleapis.com/prediction/online/accelerator/duty_cycle` * `aiplatform.googleapis.com/prediction/online/cpu/utilization`
* @property target The target resource utilization in percentage (1% - 100%) for the given metric; once the real usage deviates from the target by a certain percentage, the machine replicas change. The default value is 60 (representing 60%) if not provided.
*/
public data class AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArgs(
public val metricName: Output,
public val target: Output? = null,
) :
ConvertibleToJava {
override fun toJava(): com.pulumi.gcp.vertex.inputs.AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArgs =
com.pulumi.gcp.vertex.inputs.AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArgs.builder()
.metricName(metricName.applyValue({ args0 -> args0 }))
.target(target?.applyValue({ args0 -> args0 })).build()
}
/**
* Builder for [AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArgs].
*/
@PulumiTagMarker
public class AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArgsBuilder internal constructor() {
private var metricName: Output? = null
private var target: Output? = null
/**
* @param value The resource metric name. Supported metrics: For Online Prediction: * `aiplatform.googleapis.com/prediction/online/accelerator/duty_cycle` * `aiplatform.googleapis.com/prediction/online/cpu/utilization`
*/
@JvmName("elmafgpjesmenhds")
public suspend fun metricName(`value`: Output) {
this.metricName = value
}
/**
* @param value The target resource utilization in percentage (1% - 100%) for the given metric; once the real usage deviates from the target by a certain percentage, the machine replicas change. The default value is 60 (representing 60%) if not provided.
*/
@JvmName("eshlarsggrpgdriy")
public suspend fun target(`value`: Output) {
this.target = value
}
/**
* @param value The resource metric name. Supported metrics: For Online Prediction: * `aiplatform.googleapis.com/prediction/online/accelerator/duty_cycle` * `aiplatform.googleapis.com/prediction/online/cpu/utilization`
*/
@JvmName("bmkieqfdsqicxvkt")
public suspend fun metricName(`value`: String) {
val toBeMapped = value
val mapped = toBeMapped.let({ args0 -> of(args0) })
this.metricName = mapped
}
/**
* @param value The target resource utilization in percentage (1% - 100%) for the given metric; once the real usage deviates from the target by a certain percentage, the machine replicas change. The default value is 60 (representing 60%) if not provided.
*/
@JvmName("netachlucvwhaisu")
public suspend fun target(`value`: Int?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.target = mapped
}
internal fun build(): AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArgs =
AiDeploymentResourcePoolDedicatedResourcesAutoscalingMetricSpecArgs(
metricName = metricName ?: throw PulumiNullFieldException("metricName"),
target = target,
)
}
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