com.pulumi.azure.machinelearning.kotlin.outputs.WorkspaceServerlessCompute.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.azure.machinelearning.kotlin.outputs

import kotlin.Boolean
import kotlin.String
import kotlin.Suppress

/**
 *
 * @property publicIpEnabled Should serverless compute nodes deployed in a custom Virtual Network have public IP addresses enabled for a workspace with private endpoint? Defaults to `false`.
 * > **Note:** `public_ip_enabled` cannot be updated from `true` to `false` when `subnet_id` is not set. `public_ip_enabled` must be set to `true` if `subnet_id` is not set and when `public_network_access_enabled` is `false`.
 * @property subnetId The ID of an existing Virtual Network Subnet in which the serverless compute nodes should be deployed to.
 */
public data class WorkspaceServerlessCompute(
    public val publicIpEnabled: Boolean? = null,
    public val subnetId: String? = null,
) {
    public companion object {
        public fun toKotlin(javaType: com.pulumi.azure.machinelearning.outputs.WorkspaceServerlessCompute): WorkspaceServerlessCompute = WorkspaceServerlessCompute(
            publicIpEnabled = javaType.publicIpEnabled().map({ args0 -> args0 }).orElse(null),
            subnetId = javaType.subnetId().map({ args0 -> args0 }).orElse(null),
        )
    }
}