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Azure v6.21.0 published on Friday, Mar 7, 2025 by Pulumi
pulumi/pulumi-azure

azure.machinelearning.WorkspaceNetworkOutboundRulePrivateEndpoint

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We recommend using Azure Native.

Azure v6.21.0 published on Friday, Mar 7, 2025 by Pulumi
pulumi/pulumi-azure

    Manages an Azure Machine Learning Workspace Network Outbound Rule Private Endpoint.

    Example Usage

    import * as pulumi from "@pulumi/pulumi";
import * as azure from "@pulumi/azure";

const current = azure.core.getClientConfig({});
const example = new azure.core.ResourceGroup("example", {
    name: "example-resources",
    location: "West Europe",
});
const exampleInsights = new azure.appinsights.Insights("example", {
    name: "workspace-example-ai",
    location: example.location,
    resourceGroupName: example.name,
    applicationType: "web",
});
const exampleKeyVault = new azure.keyvault.KeyVault("example", {
    name: "workspaceexamplekeyvault",
    location: example.location,
    resourceGroupName: example.name,
    tenantId: current.then(current => current.tenantId),
    skuName: "premium",
});
const exampleAccount = new azure.storage.Account("example", {
    name: "workspacestorageaccount",
    location: example.location,
    resourceGroupName: example.name,
    accountTier: "Standard",
    accountReplicationType: "GRS",
});
const exampleWorkspace = new azure.machinelearning.Workspace("example", {
    name: "example-workspace",
    location: example.location,
    resourceGroupName: example.name,
    applicationInsightsId: exampleInsights.id,
    keyVaultId: exampleKeyVault.id,
    storageAccountId: exampleAccount.id,
    managedNetwork: {
        isolationMode: "AllowOnlyApprovedOutbound",
    },
    identity: {
        type: "SystemAssigned",
    },
});
const example2 = new azure.storage.Account("example2", {
    name: "example-sa",
    location: test.location,
    resourceGroupName: test.name,
    accountTier: "Standard",
    accountReplicationType: "LRS",
});
const exampleWorkspaceNetworkOutboundRulePrivateEndpoint = new azure.machinelearning.WorkspaceNetworkOutboundRulePrivateEndpoint("example", {
    name: "example-outboundrule",
    workspaceId: exampleWorkspace.id,
    serviceResourceId: example2.id,
    subResourceTarget: "blob",
});

    import pulumi
import pulumi_azure as azure

current = azure.core.get_client_config()
example = azure.core.ResourceGroup("example",
    name="example-resources",
    location="West Europe")
example_insights = azure.appinsights.Insights("example",
    name="workspace-example-ai",
    location=example.location,
    resource_group_name=example.name,
    application_type="web")
example_key_vault = azure.keyvault.KeyVault("example",
    name="workspaceexamplekeyvault",
    location=example.location,
    resource_group_name=example.name,
    tenant_id=current.tenant_id,
    sku_name="premium")
example_account = azure.storage.Account("example",
    name="workspacestorageaccount",
    location=example.location,
    resource_group_name=example.name,
    account_tier="Standard",
    account_replication_type="GRS")
example_workspace = azure.machinelearning.Workspace("example",
    name="example-workspace",
    location=example.location,
    resource_group_name=example.name,
    application_insights_id=example_insights.id,
    key_vault_id=example_key_vault.id,
    storage_account_id=example_account.id,
    managed_network={
        "isolation_mode": "AllowOnlyApprovedOutbound",
    },
    identity={
        "type": "SystemAssigned",
    })
example2 = azure.storage.Account("example2",
    name="example-sa",
    location=test["location"],
    resource_group_name=test["name"],
    account_tier="Standard",
    account_replication_type="LRS")
example_workspace_network_outbound_rule_private_endpoint = azure.machinelearning.WorkspaceNetworkOutboundRulePrivateEndpoint("example",
    name="example-outboundrule",
    workspace_id=example_workspace.id,
    service_resource_id=example2.id,
    sub_resource_target="blob")

    package main

import (
	"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/appinsights"
	"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/core"
	"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/keyvault"
	"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/machinelearning"
	"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/storage"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		current, err := core.GetClientConfig(ctx, map[string]interface{}{}, nil)
		if err != nil {
			return err
		}
		example, err := core.NewResourceGroup(ctx, "example", &core.ResourceGroupArgs{
			Name:     pulumi.String("example-resources"),
			Location: pulumi.String("West Europe"),
		})
		if err != nil {
			return err
		}
		exampleInsights, err := appinsights.NewInsights(ctx, "example", &appinsights.InsightsArgs{
			Name:              pulumi.String("workspace-example-ai"),
			Location:          example.Location,
			ResourceGroupName: example.Name,
			ApplicationType:   pulumi.String("web"),
		})
		if err != nil {
			return err
		}
		exampleKeyVault, err := keyvault.NewKeyVault(ctx, "example", &keyvault.KeyVaultArgs{
			Name:              pulumi.String("workspaceexamplekeyvault"),
			Location:          example.Location,
			ResourceGroupName: example.Name,
			TenantId:          pulumi.String(current.TenantId),
			SkuName:           pulumi.String("premium"),
		})
		if err != nil {
			return err
		}
		exampleAccount, err := storage.NewAccount(ctx, "example", &storage.AccountArgs{
			Name:                   pulumi.String("workspacestorageaccount"),
			Location:               example.Location,
			ResourceGroupName:      example.Name,
			AccountTier:            pulumi.String("Standard"),
			AccountReplicationType: pulumi.String("GRS"),
		})
		if err != nil {
			return err
		}
		exampleWorkspace, err := machinelearning.NewWorkspace(ctx, "example", &machinelearning.WorkspaceArgs{
			Name:                  pulumi.String("example-workspace"),
			Location:              example.Location,
			ResourceGroupName:     example.Name,
			ApplicationInsightsId: exampleInsights.ID(),
			KeyVaultId:            exampleKeyVault.ID(),
			StorageAccountId:      exampleAccount.ID(),
			ManagedNetwork: &machinelearning.WorkspaceManagedNetworkArgs{
				IsolationMode: pulumi.String("AllowOnlyApprovedOutbound"),
			},
			Identity: &machinelearning.WorkspaceIdentityArgs{
				Type: pulumi.String("SystemAssigned"),
			},
		})
		if err != nil {
			return err
		}
		example2, err := storage.NewAccount(ctx, "example2", &storage.AccountArgs{
			Name:                   pulumi.String("example-sa"),
			Location:               pulumi.Any(test.Location),
			ResourceGroupName:      pulumi.Any(test.Name),
			AccountTier:            pulumi.String("Standard"),
			AccountReplicationType: pulumi.String("LRS"),
		})
		if err != nil {
			return err
		}
		_, err = machinelearning.NewWorkspaceNetworkOutboundRulePrivateEndpoint(ctx, "example", &machinelearning.WorkspaceNetworkOutboundRulePrivateEndpointArgs{
			Name:              pulumi.String("example-outboundrule"),
			WorkspaceId:       exampleWorkspace.ID(),
			ServiceResourceId: example2.ID(),
			SubResourceTarget: pulumi.String("blob"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

    using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Azure = Pulumi.Azure;

return await Deployment.RunAsync(() => 
{
    var current = Azure.Core.GetClientConfig.Invoke();

    var example = new Azure.Core.ResourceGroup("example", new()
    {
        Name = "example-resources",
        Location = "West Europe",
    });

    var exampleInsights = new Azure.AppInsights.Insights("example", new()
    {
        Name = "workspace-example-ai",
        Location = example.Location,
        ResourceGroupName = example.Name,
        ApplicationType = "web",
    });

    var exampleKeyVault = new Azure.KeyVault.KeyVault("example", new()
    {
        Name = "workspaceexamplekeyvault",
        Location = example.Location,
        ResourceGroupName = example.Name,
        TenantId = current.Apply(getClientConfigResult => getClientConfigResult.TenantId),
        SkuName = "premium",
    });

    var exampleAccount = new Azure.Storage.Account("example", new()
    {
        Name = "workspacestorageaccount",
        Location = example.Location,
        ResourceGroupName = example.Name,
        AccountTier = "Standard",
        AccountReplicationType = "GRS",
    });

    var exampleWorkspace = new Azure.MachineLearning.Workspace("example", new()
    {
        Name = "example-workspace",
        Location = example.Location,
        ResourceGroupName = example.Name,
        ApplicationInsightsId = exampleInsights.Id,
        KeyVaultId = exampleKeyVault.Id,
        StorageAccountId = exampleAccount.Id,
        ManagedNetwork = new Azure.MachineLearning.Inputs.WorkspaceManagedNetworkArgs
        {
            IsolationMode = "AllowOnlyApprovedOutbound",
        },
        Identity = new Azure.MachineLearning.Inputs.WorkspaceIdentityArgs
        {
            Type = "SystemAssigned",
        },
    });

    var example2 = new Azure.Storage.Account("example2", new()
    {
        Name = "example-sa",
        Location = test.Location,
        ResourceGroupName = test.Name,
        AccountTier = "Standard",
        AccountReplicationType = "LRS",
    });

    var exampleWorkspaceNetworkOutboundRulePrivateEndpoint = new Azure.MachineLearning.WorkspaceNetworkOutboundRulePrivateEndpoint("example", new()
    {
        Name = "example-outboundrule",
        WorkspaceId = exampleWorkspace.Id,
        ServiceResourceId = example2.Id,
        SubResourceTarget = "blob",
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azure.core.CoreFunctions;
import com.pulumi.azure.core.ResourceGroup;
import com.pulumi.azure.core.ResourceGroupArgs;
import com.pulumi.azure.appinsights.Insights;
import com.pulumi.azure.appinsights.InsightsArgs;
import com.pulumi.azure.keyvault.KeyVault;
import com.pulumi.azure.keyvault.KeyVaultArgs;
import com.pulumi.azure.storage.Account;
import com.pulumi.azure.storage.AccountArgs;
import com.pulumi.azure.machinelearning.Workspace;
import com.pulumi.azure.machinelearning.WorkspaceArgs;
import com.pulumi.azure.machinelearning.inputs.WorkspaceManagedNetworkArgs;
import com.pulumi.azure.machinelearning.inputs.WorkspaceIdentityArgs;
import com.pulumi.azure.machinelearning.WorkspaceNetworkOutboundRulePrivateEndpoint;
import com.pulumi.azure.machinelearning.WorkspaceNetworkOutboundRulePrivateEndpointArgs;
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) {
        final var current = CoreFunctions.getClientConfig();

        var example = new ResourceGroup("example", ResourceGroupArgs.builder()
            .name("example-resources")
            .location("West Europe")
            .build());

        var exampleInsights = new Insights("exampleInsights", InsightsArgs.builder()
            .name("workspace-example-ai")
            .location(example.location())
            .resourceGroupName(example.name())
            .applicationType("web")
            .build());

        var exampleKeyVault = new KeyVault("exampleKeyVault", KeyVaultArgs.builder()
            .name("workspaceexamplekeyvault")
            .location(example.location())
            .resourceGroupName(example.name())
            .tenantId(current.applyValue(getClientConfigResult -> getClientConfigResult.tenantId()))
            .skuName("premium")
            .build());

        var exampleAccount = new Account("exampleAccount", AccountArgs.builder()
            .name("workspacestorageaccount")
            .location(example.location())
            .resourceGroupName(example.name())
            .accountTier("Standard")
            .accountReplicationType("GRS")
            .build());

        var exampleWorkspace = new Workspace("exampleWorkspace", WorkspaceArgs.builder()
            .name("example-workspace")
            .location(example.location())
            .resourceGroupName(example.name())
            .applicationInsightsId(exampleInsights.id())
            .keyVaultId(exampleKeyVault.id())
            .storageAccountId(exampleAccount.id())
            .managedNetwork(WorkspaceManagedNetworkArgs.builder()
                .isolationMode("AllowOnlyApprovedOutbound")
                .build())
            .identity(WorkspaceIdentityArgs.builder()
                .type("SystemAssigned")
                .build())
            .build());

        var example2 = new Account("example2", AccountArgs.builder()
            .name("example-sa")
            .location(test.location())
            .resourceGroupName(test.name())
            .accountTier("Standard")
            .accountReplicationType("LRS")
            .build());

        var exampleWorkspaceNetworkOutboundRulePrivateEndpoint = new WorkspaceNetworkOutboundRulePrivateEndpoint("exampleWorkspaceNetworkOutboundRulePrivateEndpoint", WorkspaceNetworkOutboundRulePrivateEndpointArgs.builder()
            .name("example-outboundrule")
            .workspaceId(exampleWorkspace.id())
            .serviceResourceId(example2.id())
            .subResourceTarget("blob")
            .build());

    }
}

    resources:
  example:
    type: azure:core:ResourceGroup
    properties:
      name: example-resources
      location: West Europe
  exampleInsights:
    type: azure:appinsights:Insights
    name: example
    properties:
      name: workspace-example-ai
      location: ${example.location}
      resourceGroupName: ${example.name}
      applicationType: web
  exampleKeyVault:
    type: azure:keyvault:KeyVault
    name: example
    properties:
      name: workspaceexamplekeyvault
      location: ${example.location}
      resourceGroupName: ${example.name}
      tenantId: ${current.tenantId}
      skuName: premium
  exampleAccount:
    type: azure:storage:Account
    name: example
    properties:
      name: workspacestorageaccount
      location: ${example.location}
      resourceGroupName: ${example.name}
      accountTier: Standard
      accountReplicationType: GRS
  exampleWorkspace:
    type: azure:machinelearning:Workspace
    name: example
    properties:
      name: example-workspace
      location: ${example.location}
      resourceGroupName: ${example.name}
      applicationInsightsId: ${exampleInsights.id}
      keyVaultId: ${exampleKeyVault.id}
      storageAccountId: ${exampleAccount.id}
      managedNetwork:
        isolationMode: AllowOnlyApprovedOutbound
      identity:
        type: SystemAssigned
  example2:
    type: azure:storage:Account
    properties:
      name: example-sa
      location: ${test.location}
      resourceGroupName: ${test.name}
      accountTier: Standard
      accountReplicationType: LRS
  exampleWorkspaceNetworkOutboundRulePrivateEndpoint:
    type: azure:machinelearning:WorkspaceNetworkOutboundRulePrivateEndpoint
    name: example
    properties:
      name: example-outboundrule
      workspaceId: ${exampleWorkspace.id}
      serviceResourceId: ${example2.id}
      subResourceTarget: blob
variables:
  current:
    fn::invoke:
      function: azure:core:getClientConfig
      arguments: {}

    Create WorkspaceNetworkOutboundRulePrivateEndpoint Resource

    Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

    Constructor syntax

    new WorkspaceNetworkOutboundRulePrivateEndpoint(name: string, args: WorkspaceNetworkOutboundRulePrivateEndpointArgs, opts?: CustomResourceOptions);
    @overload
def WorkspaceNetworkOutboundRulePrivateEndpoint(resource_name: str,
                                                args: WorkspaceNetworkOutboundRulePrivateEndpointArgs,
                                                opts: Optional[ResourceOptions] = None)

@overload
def WorkspaceNetworkOutboundRulePrivateEndpoint(resource_name: str,
                                                opts: Optional[ResourceOptions] = None,
                                                service_resource_id: Optional[str] = None,
                                                sub_resource_target: Optional[str] = None,
                                                workspace_id: Optional[str] = None,
                                                name: Optional[str] = None,
                                                spark_enabled: Optional[bool] = None)
    func NewWorkspaceNetworkOutboundRulePrivateEndpoint(ctx *Context, name string, args WorkspaceNetworkOutboundRulePrivateEndpointArgs, opts ...ResourceOption) (*WorkspaceNetworkOutboundRulePrivateEndpoint, error)
    public WorkspaceNetworkOutboundRulePrivateEndpoint(string name, WorkspaceNetworkOutboundRulePrivateEndpointArgs args, CustomResourceOptions? opts = null)
    public WorkspaceNetworkOutboundRulePrivateEndpoint(String name, WorkspaceNetworkOutboundRulePrivateEndpointArgs args)
public WorkspaceNetworkOutboundRulePrivateEndpoint(String name, WorkspaceNetworkOutboundRulePrivateEndpointArgs args, CustomResourceOptions options)

    type: azure:machinelearning:WorkspaceNetworkOutboundRulePrivateEndpoint
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

    Parameters

    name string
    The unique name of the resource.
    args WorkspaceNetworkOutboundRulePrivateEndpointArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    resource_name str
    The unique name of the resource.
    args WorkspaceNetworkOutboundRulePrivateEndpointArgs
    The arguments to resource properties.
    opts ResourceOptions
    Bag of options to control resource's behavior.
    ctx Context
    Context object for the current deployment.
    name string
    The unique name of the resource.
    args WorkspaceNetworkOutboundRulePrivateEndpointArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args WorkspaceNetworkOutboundRulePrivateEndpointArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args WorkspaceNetworkOutboundRulePrivateEndpointArgs
    The arguments to resource properties.
    options CustomResourceOptions
    Bag of options to control resource's behavior.

    Constructor example

    The following reference example uses placeholder values for all input properties.

    var workspaceNetworkOutboundRulePrivateEndpointResource = new Azure.MachineLearning.WorkspaceNetworkOutboundRulePrivateEndpoint("workspaceNetworkOutboundRulePrivateEndpointResource", new()
{
    ServiceResourceId = "string",
    SubResourceTarget = "string",
    WorkspaceId = "string",
    Name = "string",
    SparkEnabled = false,
});

    example, err := machinelearning.NewWorkspaceNetworkOutboundRulePrivateEndpoint(ctx, "workspaceNetworkOutboundRulePrivateEndpointResource", &machinelearning.WorkspaceNetworkOutboundRulePrivateEndpointArgs{
	ServiceResourceId: pulumi.String("string"),
	SubResourceTarget: pulumi.String("string"),
	WorkspaceId:       pulumi.String("string"),
	Name:              pulumi.String("string"),
	SparkEnabled:      pulumi.Bool(false),
})

    var workspaceNetworkOutboundRulePrivateEndpointResource = new WorkspaceNetworkOutboundRulePrivateEndpoint("workspaceNetworkOutboundRulePrivateEndpointResource", WorkspaceNetworkOutboundRulePrivateEndpointArgs.builder()
    .serviceResourceId("string")
    .subResourceTarget("string")
    .workspaceId("string")
    .name("string")
    .sparkEnabled(false)
    .build());

    workspace_network_outbound_rule_private_endpoint_resource = azure.machinelearning.WorkspaceNetworkOutboundRulePrivateEndpoint("workspaceNetworkOutboundRulePrivateEndpointResource",
    service_resource_id="string",
    sub_resource_target="string",
    workspace_id="string",
    name="string",
    spark_enabled=False)

    const workspaceNetworkOutboundRulePrivateEndpointResource = new azure.machinelearning.WorkspaceNetworkOutboundRulePrivateEndpoint("workspaceNetworkOutboundRulePrivateEndpointResource", {
    serviceResourceId: "string",
    subResourceTarget: "string",
    workspaceId: "string",
    name: "string",
    sparkEnabled: false,
});

    type: azure:machinelearning:WorkspaceNetworkOutboundRulePrivateEndpoint
properties:
    name: string
    serviceResourceId: string
    sparkEnabled: false
    subResourceTarget: string
    workspaceId: string

    WorkspaceNetworkOutboundRulePrivateEndpoint Resource Properties

    To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

    Inputs

    In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.

    The WorkspaceNetworkOutboundRulePrivateEndpoint resource accepts the following input properties:

    ServiceResourceId string

    Specifies the Service Resource ID to connect. Changing this forces a new resource to be created.

    Note Supported service resources: Key Vault, Storage Account, Machine Learning Workspace, Redis.

    SubResourceTarget string

    Specifies the Sub Resource of the service resource to connect to. Possible values are vault,amlworkspace,blob,table,queue,file,web,dfs, redisCache. Changing this forces a new resource to be created.

    | Service | Sub Resource Type | |----------------------------|-------------------------------------------| | Machine Learning Workspace | amlworkspace | | Redis | redisCache | | Storage Account | blob,table,queue,file,web,dfs | | Key Vault | vault |

    WorkspaceId string
    Specifies the ID of the Machine Learning Workspace. Changing this forces a new resource to be created.
    Name string
    Specifies the name of the Machine Learning Workspace Network Outbound Rule Private Endpoint. Changing this forces a new resource to be created.
    SparkEnabled bool
    Whether to enable an additional private endpoint to be used by jobs running on Spark. Changing this forces a new resource to be created.
    ServiceResourceId string

    Specifies the Service Resource ID to connect. Changing this forces a new resource to be created.

    Note Supported service resources: Key Vault, Storage Account, Machine Learning Workspace, Redis.

    SubResourceTarget string

    Specifies the Sub Resource of the service resource to connect to. Possible values are vault,amlworkspace,blob,table,queue,file,web,dfs, redisCache. Changing this forces a new resource to be created.

    | Service | Sub Resource Type | |----------------------------|-------------------------------------------| | Machine Learning Workspace | amlworkspace | | Redis | redisCache | | Storage Account | blob,table,queue,file,web,dfs | | Key Vault | vault |

    WorkspaceId string
    Specifies the ID of the Machine Learning Workspace. Changing this forces a new resource to be created.
    Name string
    Specifies the name of the Machine Learning Workspace Network Outbound Rule Private Endpoint. Changing this forces a new resource to be created.
    SparkEnabled bool
    Whether to enable an additional private endpoint to be used by jobs running on Spark. Changing this forces a new resource to be created.
    serviceResourceId String

    Specifies the Service Resource ID to connect. Changing this forces a new resource to be created.

    Note Supported service resources: Key Vault, Storage Account, Machine Learning Workspace, Redis.

    subResourceTarget String

    Specifies the Sub Resource of the service resource to connect to. Possible values are vault,amlworkspace,blob,table,queue,file,web,dfs, redisCache. Changing this forces a new resource to be created.

    | Service | Sub Resource Type | |----------------------------|-------------------------------------------| | Machine Learning Workspace | amlworkspace | | Redis | redisCache | | Storage Account | blob,table,queue,file,web,dfs | | Key Vault | vault |

    workspaceId String
    Specifies the ID of the Machine Learning Workspace. Changing this forces a new resource to be created.
    name String
    Specifies the name of the Machine Learning Workspace Network Outbound Rule Private Endpoint. Changing this forces a new resource to be created.
    sparkEnabled Boolean
    Whether to enable an additional private endpoint to be used by jobs running on Spark. Changing this forces a new resource to be created.
    serviceResourceId string

    Specifies the Service Resource ID to connect. Changing this forces a new resource to be created.

    Note Supported service resources: Key Vault, Storage Account, Machine Learning Workspace, Redis.

    subResourceTarget string

    Specifies the Sub Resource of the service resource to connect to. Possible values are vault,amlworkspace,blob,table,queue,file,web,dfs, redisCache. Changing this forces a new resource to be created.

    | Service | Sub Resource Type | |----------------------------|-------------------------------------------| | Machine Learning Workspace | amlworkspace | | Redis | redisCache | | Storage Account | blob,table,queue,file,web,dfs | | Key Vault | vault |

    workspaceId string
    Specifies the ID of the Machine Learning Workspace. Changing this forces a new resource to be created.
    name string
    Specifies the name of the Machine Learning Workspace Network Outbound Rule Private Endpoint. Changing this forces a new resource to be created.
    sparkEnabled boolean
    Whether to enable an additional private endpoint to be used by jobs running on Spark. Changing this forces a new resource to be created.
    service_resource_id str

    Specifies the Service Resource ID to connect. Changing this forces a new resource to be created.

    Note Supported service resources: Key Vault, Storage Account, Machine Learning Workspace, Redis.

    sub_resource_target str

    Specifies the Sub Resource of the service resource to connect to. Possible values are vault,amlworkspace,blob,table,queue,file,web,dfs, redisCache. Changing this forces a new resource to be created.

    | Service | Sub Resource Type | |----------------------------|-------------------------------------------| | Machine Learning Workspace | amlworkspace | | Redis | redisCache | | Storage Account | blob,table,queue,file,web,dfs | | Key Vault | vault |

    workspace_id str
    Specifies the ID of the Machine Learning Workspace. Changing this forces a new resource to be created.
    name str
    Specifies the name of the Machine Learning Workspace Network Outbound Rule Private Endpoint. Changing this forces a new resource to be created.
    spark_enabled bool
    Whether to enable an additional private endpoint to be used by jobs running on Spark. Changing this forces a new resource to be created.
    serviceResourceId String

    Specifies the Service Resource ID to connect. Changing this forces a new resource to be created.

    Note Supported service resources: Key Vault, Storage Account, Machine Learning Workspace, Redis.

    subResourceTarget String

    Specifies the Sub Resource of the service resource to connect to. Possible values are vault,amlworkspace,blob,table,queue,file,web,dfs, redisCache. Changing this forces a new resource to be created.

    | Service | Sub Resource Type | |----------------------------|-------------------------------------------| | Machine Learning Workspace | amlworkspace | | Redis | redisCache | | Storage Account | blob,table,queue,file,web,dfs | | Key Vault | vault |

    workspaceId String
    Specifies the ID of the Machine Learning Workspace. Changing this forces a new resource to be created.
    name String
    Specifies the name of the Machine Learning Workspace Network Outbound Rule Private Endpoint. Changing this forces a new resource to be created.
    sparkEnabled Boolean
    Whether to enable an additional private endpoint to be used by jobs running on Spark. Changing this forces a new resource to be created.

    Outputs

    All input properties are implicitly available as output properties. Additionally, the WorkspaceNetworkOutboundRulePrivateEndpoint resource produces the following output properties:

    Id string
    The provider-assigned unique ID for this managed resource.
    Id string
    The provider-assigned unique ID for this managed resource.
    id String
    The provider-assigned unique ID for this managed resource.
    id string
    The provider-assigned unique ID for this managed resource.
    id str
    The provider-assigned unique ID for this managed resource.
    id String
    The provider-assigned unique ID for this managed resource.

    Look up Existing WorkspaceNetworkOutboundRulePrivateEndpoint Resource

    Get an existing WorkspaceNetworkOutboundRulePrivateEndpoint resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.

    public static get(name: string, id: Input<ID>, state?: WorkspaceNetworkOutboundRulePrivateEndpointState, opts?: CustomResourceOptions): WorkspaceNetworkOutboundRulePrivateEndpoint
    @staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        name: Optional[str] = None,
        service_resource_id: Optional[str] = None,
        spark_enabled: Optional[bool] = None,
        sub_resource_target: Optional[str] = None,
        workspace_id: Optional[str] = None) -> WorkspaceNetworkOutboundRulePrivateEndpoint
    func GetWorkspaceNetworkOutboundRulePrivateEndpoint(ctx *Context, name string, id IDInput, state *WorkspaceNetworkOutboundRulePrivateEndpointState, opts ...ResourceOption) (*WorkspaceNetworkOutboundRulePrivateEndpoint, error)
    public static WorkspaceNetworkOutboundRulePrivateEndpoint Get(string name, Input<string> id, WorkspaceNetworkOutboundRulePrivateEndpointState? state, CustomResourceOptions? opts = null)
    public static WorkspaceNetworkOutboundRulePrivateEndpoint get(String name, Output<String> id, WorkspaceNetworkOutboundRulePrivateEndpointState state, CustomResourceOptions options)
    resources:  _:    type: azure:machinelearning:WorkspaceNetworkOutboundRulePrivateEndpoint    get:      id: ${id}
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    resource_name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    The following state arguments are supported:
    Name string
    Specifies the name of the Machine Learning Workspace Network Outbound Rule Private Endpoint. Changing this forces a new resource to be created.
    ServiceResourceId string

    Specifies the Service Resource ID to connect. Changing this forces a new resource to be created.

    Note Supported service resources: Key Vault, Storage Account, Machine Learning Workspace, Redis.

    SparkEnabled bool
    Whether to enable an additional private endpoint to be used by jobs running on Spark. Changing this forces a new resource to be created.
    SubResourceTarget string

    Specifies the Sub Resource of the service resource to connect to. Possible values are vault,amlworkspace,blob,table,queue,file,web,dfs, redisCache. Changing this forces a new resource to be created.

    | Service | Sub Resource Type | |----------------------------|-------------------------------------------| | Machine Learning Workspace | amlworkspace | | Redis | redisCache | | Storage Account | blob,table,queue,file,web,dfs | | Key Vault | vault |

    WorkspaceId string
    Specifies the ID of the Machine Learning Workspace. Changing this forces a new resource to be created.
    Name string
    Specifies the name of the Machine Learning Workspace Network Outbound Rule Private Endpoint. Changing this forces a new resource to be created.
    ServiceResourceId string

    Specifies the Service Resource ID to connect. Changing this forces a new resource to be created.

    Note Supported service resources: Key Vault, Storage Account, Machine Learning Workspace, Redis.

    SparkEnabled bool
    Whether to enable an additional private endpoint to be used by jobs running on Spark. Changing this forces a new resource to be created.
    SubResourceTarget string

    Specifies the Sub Resource of the service resource to connect to. Possible values are vault,amlworkspace,blob,table,queue,file,web,dfs, redisCache. Changing this forces a new resource to be created.

    | Service | Sub Resource Type | |----------------------------|-------------------------------------------| | Machine Learning Workspace | amlworkspace | | Redis | redisCache | | Storage Account | blob,table,queue,file,web,dfs | | Key Vault | vault |

    WorkspaceId string
    Specifies the ID of the Machine Learning Workspace. Changing this forces a new resource to be created.
    name String
    Specifies the name of the Machine Learning Workspace Network Outbound Rule Private Endpoint. Changing this forces a new resource to be created.
    serviceResourceId String

    Specifies the Service Resource ID to connect. Changing this forces a new resource to be created.

    Note Supported service resources: Key Vault, Storage Account, Machine Learning Workspace, Redis.

    sparkEnabled Boolean
    Whether to enable an additional private endpoint to be used by jobs running on Spark. Changing this forces a new resource to be created.
    subResourceTarget String

    Specifies the Sub Resource of the service resource to connect to. Possible values are vault,amlworkspace,blob,table,queue,file,web,dfs, redisCache. Changing this forces a new resource to be created.

    | Service | Sub Resource Type | |----------------------------|-------------------------------------------| | Machine Learning Workspace | amlworkspace | | Redis | redisCache | | Storage Account | blob,table,queue,file,web,dfs | | Key Vault | vault |

    workspaceId String
    Specifies the ID of the Machine Learning Workspace. Changing this forces a new resource to be created.
    name string
    Specifies the name of the Machine Learning Workspace Network Outbound Rule Private Endpoint. Changing this forces a new resource to be created.
    serviceResourceId string

    Specifies the Service Resource ID to connect. Changing this forces a new resource to be created.

    Note Supported service resources: Key Vault, Storage Account, Machine Learning Workspace, Redis.

    sparkEnabled boolean
    Whether to enable an additional private endpoint to be used by jobs running on Spark. Changing this forces a new resource to be created.
    subResourceTarget string

    Specifies the Sub Resource of the service resource to connect to. Possible values are vault,amlworkspace,blob,table,queue,file,web,dfs, redisCache. Changing this forces a new resource to be created.

    | Service | Sub Resource Type | |----------------------------|-------------------------------------------| | Machine Learning Workspace | amlworkspace | | Redis | redisCache | | Storage Account | blob,table,queue,file,web,dfs | | Key Vault | vault |

    workspaceId string
    Specifies the ID of the Machine Learning Workspace. Changing this forces a new resource to be created.
    name str
    Specifies the name of the Machine Learning Workspace Network Outbound Rule Private Endpoint. Changing this forces a new resource to be created.
    service_resource_id str

    Specifies the Service Resource ID to connect. Changing this forces a new resource to be created.

    Note Supported service resources: Key Vault, Storage Account, Machine Learning Workspace, Redis.

    spark_enabled bool
    Whether to enable an additional private endpoint to be used by jobs running on Spark. Changing this forces a new resource to be created.
    sub_resource_target str

    Specifies the Sub Resource of the service resource to connect to. Possible values are vault,amlworkspace,blob,table,queue,file,web,dfs, redisCache. Changing this forces a new resource to be created.

    | Service | Sub Resource Type | |----------------------------|-------------------------------------------| | Machine Learning Workspace | amlworkspace | | Redis | redisCache | | Storage Account | blob,table,queue,file,web,dfs | | Key Vault | vault |

    workspace_id str
    Specifies the ID of the Machine Learning Workspace. Changing this forces a new resource to be created.
    name String
    Specifies the name of the Machine Learning Workspace Network Outbound Rule Private Endpoint. Changing this forces a new resource to be created.
    serviceResourceId String

    Specifies the Service Resource ID to connect. Changing this forces a new resource to be created.

    Note Supported service resources: Key Vault, Storage Account, Machine Learning Workspace, Redis.

    sparkEnabled Boolean
    Whether to enable an additional private endpoint to be used by jobs running on Spark. Changing this forces a new resource to be created.
    subResourceTarget String

    Specifies the Sub Resource of the service resource to connect to. Possible values are vault,amlworkspace,blob,table,queue,file,web,dfs, redisCache. Changing this forces a new resource to be created.

    | Service | Sub Resource Type | |----------------------------|-------------------------------------------| | Machine Learning Workspace | amlworkspace | | Redis | redisCache | | Storage Account | blob,table,queue,file,web,dfs | | Key Vault | vault |

    workspaceId String
    Specifies the ID of the Machine Learning Workspace. Changing this forces a new resource to be created.

    Import

    Machine Learning Workspace Network Outbound Rule Private Endpoint can be imported using the resource id, e.g.

    $ pulumi import azure:machinelearning/workspaceNetworkOutboundRulePrivateEndpoint:WorkspaceNetworkOutboundRulePrivateEndpoint example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/group1/providers/Microsoft.MachineLearningServices/workspaces/workspace1/outboundRules/rule1

    To learn more about importing existing cloud resources, see Importing resources.

    Package Details

    Repository
    Azure Classic pulumi/pulumi-azure
    License
    Apache-2.0
    Notes
    This Pulumi package is based on the azurerm Terraform Provider.
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    We recommend using Azure Native.

    Azure v6.21.0 published on Friday, Mar 7, 2025 by Pulumi
    pulumi/pulumi-azure