ComponentContainer

class ComponentContainer : KotlinCustomResource

Azure Resource Manager resource envelope. API Version: 2022-02-01-preview.

Example Usage

CreateOrUpdate 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()
{
ComponentContainerDetails = 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"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
_, err := machinelearningservices.NewComponentContainer(ctx, "componentContainer", &machinelearningservices.ComponentContainerArgs{
ComponentContainerDetails: &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 com.pulumi.azurenative.machinelearningservices.ComponentContainerArgs;
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()
.componentContainerDetails(Map.ofEntries(
Map.entry("description", "string"),
Map.entry("properties", Map.of("string", "string")),
Map.entry("tags", Map.of("string", "string"))
))
.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 string

Properties

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Required Additional attributes of the entity.

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val id: Output<String>
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val name: Output<String>

The name of the resource

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val pulumiChildResources: Set<KotlinResource>
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Azure Resource Manager metadata containing createdBy and modifiedBy information.

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val type: Output<String>

The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"

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val urn: Output<String>