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  5. WorkspaceNetworkOutboundRuleFqdn

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Azure v6.10.0 published on Tuesday, Nov 19, 2024 by Pulumi

azure.machinelearning.WorkspaceNetworkOutboundRuleFqdn

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We recommend using Azure Native.

Azure v6.10.0 published on Tuesday, Nov 19, 2024 by Pulumi

    Manages an Azure Machine Learning Workspace FQDN Network Outbound Rule.

    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 exampleWorkspaceNetworkOutboundRuleFqdn = new azure.machinelearning.WorkspaceNetworkOutboundRuleFqdn("example", {
        name: "example-outboundrule",
        workspaceId: exampleWorkspace.id,
        destinationFqdn: "example.com",
    });
    
    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",
        })
    example_workspace_network_outbound_rule_fqdn = azure.machinelearning.WorkspaceNetworkOutboundRuleFqdn("example",
        name="example-outboundrule",
        workspace_id=example_workspace.id,
        destination_fqdn="example.com")
    
    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
    		}
    		_, err = machinelearning.NewWorkspaceNetworkOutboundRuleFqdn(ctx, "example", &machinelearning.WorkspaceNetworkOutboundRuleFqdnArgs{
    			Name:            pulumi.String("example-outboundrule"),
    			WorkspaceId:     exampleWorkspace.ID(),
    			DestinationFqdn: pulumi.String("example.com"),
    		})
    		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 exampleWorkspaceNetworkOutboundRuleFqdn = new Azure.MachineLearning.WorkspaceNetworkOutboundRuleFqdn("example", new()
        {
            Name = "example-outboundrule",
            WorkspaceId = exampleWorkspace.Id,
            DestinationFqdn = "example.com",
        });
    
    });
    
    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.WorkspaceNetworkOutboundRuleFqdn;
    import com.pulumi.azure.machinelearning.WorkspaceNetworkOutboundRuleFqdnArgs;
    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 exampleWorkspaceNetworkOutboundRuleFqdn = new WorkspaceNetworkOutboundRuleFqdn("exampleWorkspaceNetworkOutboundRuleFqdn", WorkspaceNetworkOutboundRuleFqdnArgs.builder()
                .name("example-outboundrule")
                .workspaceId(exampleWorkspace.id())
                .destinationFqdn("example.com")
                .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
      exampleWorkspaceNetworkOutboundRuleFqdn:
        type: azure:machinelearning:WorkspaceNetworkOutboundRuleFqdn
        name: example
        properties:
          name: example-outboundrule
          workspaceId: ${exampleWorkspace.id}
          destinationFqdn: example.com
    variables:
      current:
        fn::invoke:
          Function: azure:core:getClientConfig
          Arguments: {}
    

    Create WorkspaceNetworkOutboundRuleFqdn Resource

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

    Constructor syntax

    new WorkspaceNetworkOutboundRuleFqdn(name: string, args: WorkspaceNetworkOutboundRuleFqdnArgs, opts?: CustomResourceOptions);
    @overload
    def WorkspaceNetworkOutboundRuleFqdn(resource_name: str,
                                         args: WorkspaceNetworkOutboundRuleFqdnArgs,
                                         opts: Optional[ResourceOptions] = None)
    
    @overload
    def WorkspaceNetworkOutboundRuleFqdn(resource_name: str,
                                         opts: Optional[ResourceOptions] = None,
                                         destination_fqdn: Optional[str] = None,
                                         workspace_id: Optional[str] = None,
                                         name: Optional[str] = None)
    func NewWorkspaceNetworkOutboundRuleFqdn(ctx *Context, name string, args WorkspaceNetworkOutboundRuleFqdnArgs, opts ...ResourceOption) (*WorkspaceNetworkOutboundRuleFqdn, error)
    public WorkspaceNetworkOutboundRuleFqdn(string name, WorkspaceNetworkOutboundRuleFqdnArgs args, CustomResourceOptions? opts = null)
    public WorkspaceNetworkOutboundRuleFqdn(String name, WorkspaceNetworkOutboundRuleFqdnArgs args)
    public WorkspaceNetworkOutboundRuleFqdn(String name, WorkspaceNetworkOutboundRuleFqdnArgs args, CustomResourceOptions options)
    
    type: azure:machinelearning:WorkspaceNetworkOutboundRuleFqdn
    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 WorkspaceNetworkOutboundRuleFqdnArgs
    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 WorkspaceNetworkOutboundRuleFqdnArgs
    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 WorkspaceNetworkOutboundRuleFqdnArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args WorkspaceNetworkOutboundRuleFqdnArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args WorkspaceNetworkOutboundRuleFqdnArgs
    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 workspaceNetworkOutboundRuleFqdnResource = new Azure.MachineLearning.WorkspaceNetworkOutboundRuleFqdn("workspaceNetworkOutboundRuleFqdnResource", new()
    {
        DestinationFqdn = "string",
        WorkspaceId = "string",
        Name = "string",
    });
    
    example, err := machinelearning.NewWorkspaceNetworkOutboundRuleFqdn(ctx, "workspaceNetworkOutboundRuleFqdnResource", &machinelearning.WorkspaceNetworkOutboundRuleFqdnArgs{
    	DestinationFqdn: pulumi.String("string"),
    	WorkspaceId:     pulumi.String("string"),
    	Name:            pulumi.String("string"),
    })
    
    var workspaceNetworkOutboundRuleFqdnResource = new WorkspaceNetworkOutboundRuleFqdn("workspaceNetworkOutboundRuleFqdnResource", WorkspaceNetworkOutboundRuleFqdnArgs.builder()
        .destinationFqdn("string")
        .workspaceId("string")
        .name("string")
        .build());
    
    workspace_network_outbound_rule_fqdn_resource = azure.machinelearning.WorkspaceNetworkOutboundRuleFqdn("workspaceNetworkOutboundRuleFqdnResource",
        destination_fqdn="string",
        workspace_id="string",
        name="string")
    
    const workspaceNetworkOutboundRuleFqdnResource = new azure.machinelearning.WorkspaceNetworkOutboundRuleFqdn("workspaceNetworkOutboundRuleFqdnResource", {
        destinationFqdn: "string",
        workspaceId: "string",
        name: "string",
    });
    
    type: azure:machinelearning:WorkspaceNetworkOutboundRuleFqdn
    properties:
        destinationFqdn: string
        name: string
        workspaceId: string
    

    WorkspaceNetworkOutboundRuleFqdn 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 WorkspaceNetworkOutboundRuleFqdn resource accepts the following input properties:

    DestinationFqdn string
    Specifies the fully qualified domain name to allow for outbound traffic.
    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 FQDN Network Outbound Rule. Changing this forces a new resource to be created.
    DestinationFqdn string
    Specifies the fully qualified domain name to allow for outbound traffic.
    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 FQDN Network Outbound Rule. Changing this forces a new resource to be created.
    destinationFqdn String
    Specifies the fully qualified domain name to allow for outbound traffic.
    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 FQDN Network Outbound Rule. Changing this forces a new resource to be created.
    destinationFqdn string
    Specifies the fully qualified domain name to allow for outbound traffic.
    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 FQDN Network Outbound Rule. Changing this forces a new resource to be created.
    destination_fqdn str
    Specifies the fully qualified domain name to allow for outbound traffic.
    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 FQDN Network Outbound Rule. Changing this forces a new resource to be created.
    destinationFqdn String
    Specifies the fully qualified domain name to allow for outbound traffic.
    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 FQDN Network Outbound Rule. Changing this forces a new resource to be created.

    Outputs

    All input properties are implicitly available as output properties. Additionally, the WorkspaceNetworkOutboundRuleFqdn 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 WorkspaceNetworkOutboundRuleFqdn Resource

    Get an existing WorkspaceNetworkOutboundRuleFqdn 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?: WorkspaceNetworkOutboundRuleFqdnState, opts?: CustomResourceOptions): WorkspaceNetworkOutboundRuleFqdn
    @staticmethod
    def get(resource_name: str,
            id: str,
            opts: Optional[ResourceOptions] = None,
            destination_fqdn: Optional[str] = None,
            name: Optional[str] = None,
            workspace_id: Optional[str] = None) -> WorkspaceNetworkOutboundRuleFqdn
    func GetWorkspaceNetworkOutboundRuleFqdn(ctx *Context, name string, id IDInput, state *WorkspaceNetworkOutboundRuleFqdnState, opts ...ResourceOption) (*WorkspaceNetworkOutboundRuleFqdn, error)
    public static WorkspaceNetworkOutboundRuleFqdn Get(string name, Input<string> id, WorkspaceNetworkOutboundRuleFqdnState? state, CustomResourceOptions? opts = null)
    public static WorkspaceNetworkOutboundRuleFqdn get(String name, Output<String> id, WorkspaceNetworkOutboundRuleFqdnState state, CustomResourceOptions options)
    Resource lookup is not supported in YAML
    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:
    DestinationFqdn string
    Specifies the fully qualified domain name to allow for outbound traffic.
    Name string
    Specifies the name of the Machine Learning Workspace FQDN Network Outbound Rule. Changing this forces a new resource to be created.
    WorkspaceId string
    Specifies the ID of the Machine Learning Workspace. Changing this forces a new resource to be created.
    DestinationFqdn string
    Specifies the fully qualified domain name to allow for outbound traffic.
    Name string
    Specifies the name of the Machine Learning Workspace FQDN Network Outbound Rule. Changing this forces a new resource to be created.
    WorkspaceId string
    Specifies the ID of the Machine Learning Workspace. Changing this forces a new resource to be created.
    destinationFqdn String
    Specifies the fully qualified domain name to allow for outbound traffic.
    name String
    Specifies the name of the Machine Learning Workspace FQDN Network Outbound Rule. Changing this forces a new resource to be created.
    workspaceId String
    Specifies the ID of the Machine Learning Workspace. Changing this forces a new resource to be created.
    destinationFqdn string
    Specifies the fully qualified domain name to allow for outbound traffic.
    name string
    Specifies the name of the Machine Learning Workspace FQDN Network Outbound Rule. Changing this forces a new resource to be created.
    workspaceId string
    Specifies the ID of the Machine Learning Workspace. Changing this forces a new resource to be created.
    destination_fqdn str
    Specifies the fully qualified domain name to allow for outbound traffic.
    name str
    Specifies the name of the Machine Learning Workspace FQDN Network Outbound Rule. Changing this forces a new resource to be created.
    workspace_id str
    Specifies the ID of the Machine Learning Workspace. Changing this forces a new resource to be created.
    destinationFqdn String
    Specifies the fully qualified domain name to allow for outbound traffic.
    name String
    Specifies the name of the Machine Learning Workspace FQDN Network Outbound Rule. Changing this forces a new resource to be created.
    workspaceId String
    Specifies the ID of the Machine Learning Workspace. Changing this forces a new resource to be created.

    Import

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

    $ pulumi import azure:machinelearning/workspaceNetworkOutboundRuleFqdn:WorkspaceNetworkOutboundRuleFqdn 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.
    azure logo

    We recommend using Azure Native.

    Azure v6.10.0 published on Tuesday, Nov 19, 2024 by Pulumi