pulumi-azure-native-kotlin/com.pulumi.azurenative.machinelearningservices.kotlin/ComponentContainer

ComponentContainer

class ComponentContainer : KotlinCustomResource

Azure Resource Manager resource envelope. Uses Azure REST API version 2024-10-01. In version 2.x of the Azure Native provider, it used API version 2023-04-01. Other available API versions: 2022-02-01-preview, 2022-05-01, 2022-06-01-preview, 2022-10-01, 2022-10-01-preview, 2022-12-01-preview, 2023-02-01-preview, 2023-04-01, 2023-04-01-preview, 2023-06-01-preview, 2023-08-01-preview, 2023-10-01, 2024-01-01-preview, 2024-04-01, 2024-07-01-preview, 2024-10-01-preview, 2025-01-01-preview. These can be accessed by generating a local SDK package using the CLI command pulumi package add azure-native machinelearningservices [ApiVersion]. See the ../../../version-guide/#accessing-any-api-version-via-local-packages for details.

Example Usage

CreateOrUpdate Workspace Component Container.

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AzureNative = Pulumi.AzureNative;
return await Deployment.RunAsync(() =>
{
    var componentContainer = new AzureNative.MachineLearningServices.ComponentContainer("componentContainer", new()
    {
        ComponentContainerProperties = new AzureNative.MachineLearningServices.Inputs.ComponentContainerArgs
        {
            Description = "string",
            Properties =
            {
                { "string", "string" },
            },
            Tags =
            {
                { "string", "string" },
            },
        },
        Name = "string",
        ResourceGroupName = "test-rg",
        WorkspaceName = "my-aml-workspace",
    });
});

package main
import (
	machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices/v3"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := machinelearningservices.NewComponentContainer(ctx, "componentContainer", &machinelearningservices.ComponentContainerArgs{
			ComponentContainerProperties: &machinelearningservices.ComponentContainerTypeArgs{
				Description: pulumi.String("string"),
				Properties: pulumi.StringMap{
					"string": pulumi.String("string"),
				},
				Tags: pulumi.StringMap{
					"string": pulumi.String("string"),
				},
			},
			Name:              pulumi.String("string"),
			ResourceGroupName: pulumi.String("test-rg"),
			WorkspaceName:     pulumi.String("my-aml-workspace"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azurenative.machinelearningservices.ComponentContainer;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }
    public static void stack(Context ctx) {
        var componentContainer = new ComponentContainer("componentContainer", ComponentContainerArgs.builder()
            .componentContainerProperties(ComponentContainerArgs.builder()
                .description("string")
                .properties(Map.of("string", "string"))
                .tags(Map.of("string", "string"))
                .build())
            .name("string")
            .resourceGroupName("test-rg")
            .workspaceName("my-aml-workspace")
            .build());
    }
}

Import

An existing resource can be imported using its type token, name, and identifier, e.g.

$ pulumi import azure-native:machinelearningservices:ComponentContainer string /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/components/{name}