com.pulumi.kubernetes.autoscaling.v2beta1.kotlin.outputs.ResourceMetricSourcePatch.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.

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

package com.pulumi.kubernetes.autoscaling.v2beta1.kotlin.outputs

import kotlin.Int
import kotlin.String
import kotlin.Suppress

/**
 * ResourceMetricSource indicates how to scale on a resource metric known to Kubernetes, as specified in requests and limits, describing each pod in the current scale target (e.g. CPU or memory).  The values will be averaged together before being compared to the target.  Such metrics are built in to Kubernetes, and have special scaling options on top of those available to normal per-pod metrics using the "pods" source.  Only one "target" type should be set.
 * @property name name is the name of the resource in question.
 * @property targetAverageUtilization targetAverageUtilization is the target value of the average of the resource metric across all relevant pods, represented as a percentage of the requested value of the resource for the pods.
 * @property targetAverageValue targetAverageValue is the target value of the average of the resource metric across all relevant pods, as a raw value (instead of as a percentage of the request), similar to the "pods" metric source type.
 */
public data class ResourceMetricSourcePatch(
    public val name: String? = null,
    public val targetAverageUtilization: Int? = null,
    public val targetAverageValue: String? = null,
) {
    public companion object {
        public fun toKotlin(javaType: com.pulumi.kubernetes.autoscaling.v2beta1.outputs.ResourceMetricSourcePatch): ResourceMetricSourcePatch = ResourceMetricSourcePatch(
            name = javaType.name().map({ args0 -> args0 }).orElse(null),
            targetAverageUtilization = javaType.targetAverageUtilization().map({ args0 -> args0 }).orElse(null),
            targetAverageValue = javaType.targetAverageValue().map({ args0 -> args0 }).orElse(null),
        )
    }
}