Workspace

Manages a Azure Machine Learning Workspace

Example Usage

using Pulumi;
using Azure = Pulumi.Azure;

class MyStack : Stack
{
    public MyStack()
    {
        var current = Output.Create(Azure.Core.GetClientConfig.InvokeAsync());
        var exampleResourceGroup = new Azure.Core.ResourceGroup("exampleResourceGroup", new Azure.Core.ResourceGroupArgs
        {
            Location = "West Europe",
        });
        var exampleInsights = new Azure.AppInsights.Insights("exampleInsights", new Azure.AppInsights.InsightsArgs
        {
            Location = exampleResourceGroup.Location,
            ResourceGroupName = exampleResourceGroup.Name,
            ApplicationType = "web",
        });
        var exampleKeyVault = new Azure.KeyVault.KeyVault("exampleKeyVault", new Azure.KeyVault.KeyVaultArgs
        {
            Location = exampleResourceGroup.Location,
            ResourceGroupName = exampleResourceGroup.Name,
            TenantId = current.Apply(current => current.TenantId),
            SkuName = "premium",
        });
        var exampleAccount = new Azure.Storage.Account("exampleAccount", new Azure.Storage.AccountArgs
        {
            Location = exampleResourceGroup.Location,
            ResourceGroupName = exampleResourceGroup.Name,
            AccountTier = "Standard",
            AccountReplicationType = "GRS",
        });
        var exampleWorkspace = new Azure.MachineLearning.Workspace("exampleWorkspace", new Azure.MachineLearning.WorkspaceArgs
        {
            Location = exampleResourceGroup.Location,
            ResourceGroupName = exampleResourceGroup.Name,
            ApplicationInsightsId = exampleInsights.Id,
            KeyVaultId = exampleKeyVault.Id,
            StorageAccountId = exampleAccount.Id,
            Identity = new Azure.MachineLearning.Inputs.WorkspaceIdentityArgs
            {
                Type = "SystemAssigned",
            },
        });
    }

}

package main

import (
    "github.com/pulumi/pulumi-azure/sdk/v3/go/azure/appinsights"
    "github.com/pulumi/pulumi-azure/sdk/v3/go/azure/core"
    "github.com/pulumi/pulumi-azure/sdk/v3/go/azure/keyvault"
    "github.com/pulumi/pulumi-azure/sdk/v3/go/azure/machinelearning"
    "github.com/pulumi/pulumi-azure/sdk/v3/go/azure/storage"
    "github.com/pulumi/pulumi/sdk/v2/go/pulumi"
)

func main() {
    pulumi.Run(func(ctx *pulumi.Context) error {
        current, err := core.GetClientConfig(ctx, nil, nil)
        if err != nil {
            return err
        }
        exampleResourceGroup, err := core.NewResourceGroup(ctx, "exampleResourceGroup", &core.ResourceGroupArgs{
            Location: pulumi.String("West Europe"),
        })
        if err != nil {
            return err
        }
        exampleInsights, err := appinsights.NewInsights(ctx, "exampleInsights", &appinsights.InsightsArgs{
            Location:          exampleResourceGroup.Location,
            ResourceGroupName: exampleResourceGroup.Name,
            ApplicationType:   pulumi.String("web"),
        })
        if err != nil {
            return err
        }
        exampleKeyVault, err := keyvault.NewKeyVault(ctx, "exampleKeyVault", &keyvault.KeyVaultArgs{
            Location:          exampleResourceGroup.Location,
            ResourceGroupName: exampleResourceGroup.Name,
            TenantId:          pulumi.String(current.TenantId),
            SkuName:           pulumi.String("premium"),
        })
        if err != nil {
            return err
        }
        exampleAccount, err := storage.NewAccount(ctx, "exampleAccount", &storage.AccountArgs{
            Location:               exampleResourceGroup.Location,
            ResourceGroupName:      exampleResourceGroup.Name,
            AccountTier:            pulumi.String("Standard"),
            AccountReplicationType: pulumi.String("GRS"),
        })
        if err != nil {
            return err
        }
        _, err = machinelearning.NewWorkspace(ctx, "exampleWorkspace", &machinelearning.WorkspaceArgs{
            Location:              exampleResourceGroup.Location,
            ResourceGroupName:     exampleResourceGroup.Name,
            ApplicationInsightsId: exampleInsights.ID(),
            KeyVaultId:            exampleKeyVault.ID(),
            StorageAccountId:      exampleAccount.ID(),
            Identity: &machinelearning.WorkspaceIdentityArgs{
                Type: pulumi.String("SystemAssigned"),
            },
        })
        if err != nil {
            return err
        }
        return nil
    })
}

import pulumi
import pulumi_azure as azure

current = azure.core.get_client_config()
example_resource_group = azure.core.ResourceGroup("exampleResourceGroup", location="West Europe")
example_insights = azure.appinsights.Insights("exampleInsights",
    location=example_resource_group.location,
    resource_group_name=example_resource_group.name,
    application_type="web")
example_key_vault = azure.keyvault.KeyVault("exampleKeyVault",
    location=example_resource_group.location,
    resource_group_name=example_resource_group.name,
    tenant_id=current.tenant_id,
    sku_name="premium")
example_account = azure.storage.Account("exampleAccount",
    location=example_resource_group.location,
    resource_group_name=example_resource_group.name,
    account_tier="Standard",
    account_replication_type="GRS")
example_workspace = azure.machinelearning.Workspace("exampleWorkspace",
    location=example_resource_group.location,
    resource_group_name=example_resource_group.name,
    application_insights_id=example_insights.id,
    key_vault_id=example_key_vault.id,
    storage_account_id=example_account.id,
    identity={
        "type": "SystemAssigned",
    })

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

const current = azure.core.getClientConfig({});
const exampleResourceGroup = new azure.core.ResourceGroup("exampleResourceGroup", {location: "West Europe"});
const exampleInsights = new azure.appinsights.Insights("exampleInsights", {
    location: exampleResourceGroup.location,
    resourceGroupName: exampleResourceGroup.name,
    applicationType: "web",
});
const exampleKeyVault = new azure.keyvault.KeyVault("exampleKeyVault", {
    location: exampleResourceGroup.location,
    resourceGroupName: exampleResourceGroup.name,
    tenantId: current.then(current => current.tenantId),
    skuName: "premium",
});
const exampleAccount = new azure.storage.Account("exampleAccount", {
    location: exampleResourceGroup.location,
    resourceGroupName: exampleResourceGroup.name,
    accountTier: "Standard",
    accountReplicationType: "GRS",
});
const exampleWorkspace = new azure.machinelearning.Workspace("exampleWorkspace", {
    location: exampleResourceGroup.location,
    resourceGroupName: exampleResourceGroup.name,
    applicationInsightsId: exampleInsights.id,
    keyVaultId: exampleKeyVault.id,
    storageAccountId: exampleAccount.id,
    identity: {
        type: "SystemAssigned",
    },
});

Create a Workspace Resource

new Workspace(name: string, args: WorkspaceArgs, opts?: CustomResourceOptions);

def Workspace(resource_name, opts=None, application_insights_id=None, container_registry_id=None, description=None, friendly_name=None, identity=None, key_vault_id=None, location=None, name=None, resource_group_name=None, sku_name=None, storage_account_id=None, tags=None, __props__=None);

func NewWorkspace(ctx *Context, name string, args WorkspaceArgs, opts ...ResourceOption) (*Workspace, error)

public Workspace(string name, WorkspaceArgs args, CustomResourceOptions? opts = null)

name string: The unique name of the resource.
args WorkspaceArgs: The arguments to resource properties.
opts CustomResourceOptions: Bag of options to control resource's behavior.

resource_name str: The unique name of the resource.
opts ResourceOptions: A bag of options that control this resource's behavior.

ctx Context: Context object for the current deployment.
name string: The unique name of the resource.
args WorkspaceArgs: The arguments to resource properties.
opts ResourceOption: Bag of options to control resource's behavior.

name string: The unique name of the resource.
args WorkspaceArgs: The arguments to resource properties.
opts CustomResourceOptions: Bag of options to control resource's behavior.

Workspace Resource Properties

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

Inputs

The Workspace resource accepts the following input properties:

ApplicationInsightsId string: The ID of the Application Insights associated with this Machine Learning Workspace. Changing this forces a new resource to be created.
Identity WorkspaceIdentityArgs: An identity block defined below.
KeyVaultId string: The ID of key vault associated with this Machine Learning Workspace. Changing this forces a new resource to be created.
ResourceGroupName string: Specifies the name of the Resource Group in which the Machine Learning Workspace should exist. Changing this forces a new resource to be created.
StorageAccountId string: The ID of the Storage Account associated with this Machine Learning Workspace. Changing this forces a new resource to be created.
ContainerRegistryId string: The ID of the container registry associated with this Machine Learning Workspace. Changing this forces a new resource to be created.
Description string: The description of this Machine Learning Workspace.
FriendlyName string: Friendly name for this Machine Learning Workspace.
Location string: Specifies the supported Azure location where the Machine Learning Workspace should exist. Changing this forces a new resource to be created.
Name string: Specifies the name of the Machine Learning Workspace. Changing this forces a new resource to be created.
SkuName string: SKU/edition of the Machine Learning Workspace, possible values are Basic for a basic workspace or Enterprise for a feature rich workspace. Defaults to Basic.
Tags Dictionary<string, string>: A mapping of tags to assign to the resource. Changing this forces a new resource to be created.

ApplicationInsightsId string: The ID of the Application Insights associated with this Machine Learning Workspace. Changing this forces a new resource to be created.
Identity WorkspaceIdentity: An identity block defined below.
KeyVaultId string: The ID of key vault associated with this Machine Learning Workspace. Changing this forces a new resource to be created.
ResourceGroupName string: Specifies the name of the Resource Group in which the Machine Learning Workspace should exist. Changing this forces a new resource to be created.
StorageAccountId string: The ID of the Storage Account associated with this Machine Learning Workspace. Changing this forces a new resource to be created.
ContainerRegistryId string: The ID of the container registry associated with this Machine Learning Workspace. Changing this forces a new resource to be created.
Description string: The description of this Machine Learning Workspace.
FriendlyName string: Friendly name for this Machine Learning Workspace.
Location string: Specifies the supported Azure location where the Machine Learning Workspace should exist. Changing this forces a new resource to be created.
Name string: Specifies the name of the Machine Learning Workspace. Changing this forces a new resource to be created.
SkuName string: SKU/edition of the Machine Learning Workspace, possible values are Basic for a basic workspace or Enterprise for a feature rich workspace. Defaults to Basic.
Tags map[string]string: A mapping of tags to assign to the resource. Changing this forces a new resource to be created.

applicationInsightsId string: The ID of the Application Insights associated with this Machine Learning Workspace. Changing this forces a new resource to be created.
identity WorkspaceIdentity: An identity block defined below.
keyVaultId string: The ID of key vault associated with this Machine Learning Workspace. Changing this forces a new resource to be created.
resourceGroupName string: Specifies the name of the Resource Group in which the Machine Learning Workspace should exist. Changing this forces a new resource to be created.
storageAccountId string: The ID of the Storage Account associated with this Machine Learning Workspace. Changing this forces a new resource to be created.
containerRegistryId string: The ID of the container registry associated with this Machine Learning Workspace. Changing this forces a new resource to be created.
description string: The description of this Machine Learning Workspace.
friendlyName string: Friendly name for this Machine Learning Workspace.
location string: Specifies the supported Azure location where the Machine Learning Workspace should exist. Changing this forces a new resource to be created.
name string: Specifies the name of the Machine Learning Workspace. Changing this forces a new resource to be created.
skuName string: SKU/edition of the Machine Learning Workspace, possible values are Basic for a basic workspace or Enterprise for a feature rich workspace. Defaults to Basic.
tags {[key: string]: string}: A mapping of tags to assign to the resource. Changing this forces a new resource to be created.

application_insights_id str: The ID of the Application Insights associated with this Machine Learning Workspace. Changing this forces a new resource to be created.
identity Dict[WorkspaceIdentity]: An identity block defined below.
key_vault_id str: The ID of key vault associated with this Machine Learning Workspace. Changing this forces a new resource to be created.
resource_group_name str: Specifies the name of the Resource Group in which the Machine Learning Workspace should exist. Changing this forces a new resource to be created.
storage_account_id str: The ID of the Storage Account associated with this Machine Learning Workspace. Changing this forces a new resource to be created.
container_registry_id str: The ID of the container registry associated with this Machine Learning Workspace. Changing this forces a new resource to be created.
description str: The description of this Machine Learning Workspace.
friendly_name str: Friendly name for this Machine Learning Workspace.
location str: Specifies the supported Azure location where the Machine Learning Workspace should exist. Changing this forces a new resource to be created.
name str: Specifies the name of the Machine Learning Workspace. Changing this forces a new resource to be created.
sku_name str: SKU/edition of the Machine Learning Workspace, possible values are Basic for a basic workspace or Enterprise for a feature rich workspace. Defaults to Basic.
tags Dict[str, str]: A mapping of tags to assign to the resource. Changing this forces a new resource to be created.

Outputs

All input properties are implicitly available as output properties. Additionally, the Workspace 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 str: The provider-assigned unique ID for this managed resource.

Look up an Existing Workspace Resource

Get an existing Workspace 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?: WorkspaceState, opts?: CustomResourceOptions): Workspace

static get(resource_name, id, opts=None, application_insights_id=None, container_registry_id=None, description=None, friendly_name=None, identity=None, key_vault_id=None, location=None, name=None, resource_group_name=None, sku_name=None, storage_account_id=None, tags=None, __props__=None);

func GetWorkspace(ctx *Context, name string, id IDInput, state *WorkspaceState, opts ...ResourceOption) (*Workspace, error)

public static Workspace Get(string name, Input<string> id, WorkspaceState? state, CustomResourceOptions? opts = null)

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.

The following state arguments are supported:

ApplicationInsightsId string: The ID of the Application Insights associated with this Machine Learning Workspace. Changing this forces a new resource to be created.
ContainerRegistryId string: The ID of the container registry associated with this Machine Learning Workspace. Changing this forces a new resource to be created.
Description string: The description of this Machine Learning Workspace.
FriendlyName string: Friendly name for this Machine Learning Workspace.
Identity WorkspaceIdentityArgs: An identity block defined below.
KeyVaultId string: The ID of key vault associated with this Machine Learning Workspace. Changing this forces a new resource to be created.
Location string: Specifies the supported Azure location where the Machine Learning Workspace should exist. Changing this forces a new resource to be created.
Name string: Specifies the name of the Machine Learning Workspace. Changing this forces a new resource to be created.
ResourceGroupName string: Specifies the name of the Resource Group in which the Machine Learning Workspace should exist. Changing this forces a new resource to be created.
SkuName string: SKU/edition of the Machine Learning Workspace, possible values are Basic for a basic workspace or Enterprise for a feature rich workspace. Defaults to Basic.
StorageAccountId string: The ID of the Storage Account associated with this Machine Learning Workspace. Changing this forces a new resource to be created.
Tags Dictionary<string, string>: A mapping of tags to assign to the resource. Changing this forces a new resource to be created.

ApplicationInsightsId string: The ID of the Application Insights associated with this Machine Learning Workspace. Changing this forces a new resource to be created.
ContainerRegistryId string: The ID of the container registry associated with this Machine Learning Workspace. Changing this forces a new resource to be created.
Description string: The description of this Machine Learning Workspace.
FriendlyName string: Friendly name for this Machine Learning Workspace.
Identity WorkspaceIdentity: An identity block defined below.
KeyVaultId string: The ID of key vault associated with this Machine Learning Workspace. Changing this forces a new resource to be created.
Location string: Specifies the supported Azure location where the Machine Learning Workspace should exist. Changing this forces a new resource to be created.
Name string: Specifies the name of the Machine Learning Workspace. Changing this forces a new resource to be created.
ResourceGroupName string: Specifies the name of the Resource Group in which the Machine Learning Workspace should exist. Changing this forces a new resource to be created.
SkuName string: SKU/edition of the Machine Learning Workspace, possible values are Basic for a basic workspace or Enterprise for a feature rich workspace. Defaults to Basic.
StorageAccountId string: The ID of the Storage Account associated with this Machine Learning Workspace. Changing this forces a new resource to be created.
Tags map[string]string: A mapping of tags to assign to the resource. Changing this forces a new resource to be created.

applicationInsightsId string: The ID of the Application Insights associated with this Machine Learning Workspace. Changing this forces a new resource to be created.
containerRegistryId string: The ID of the container registry associated with this Machine Learning Workspace. Changing this forces a new resource to be created.
description string: The description of this Machine Learning Workspace.
friendlyName string: Friendly name for this Machine Learning Workspace.
identity WorkspaceIdentity: An identity block defined below.
keyVaultId string: The ID of key vault associated with this Machine Learning Workspace. Changing this forces a new resource to be created.
location string: Specifies the supported Azure location where the Machine Learning Workspace should exist. Changing this forces a new resource to be created.
name string: Specifies the name of the Machine Learning Workspace. Changing this forces a new resource to be created.
resourceGroupName string: Specifies the name of the Resource Group in which the Machine Learning Workspace should exist. Changing this forces a new resource to be created.
skuName string: SKU/edition of the Machine Learning Workspace, possible values are Basic for a basic workspace or Enterprise for a feature rich workspace. Defaults to Basic.
storageAccountId string: The ID of the Storage Account associated with this Machine Learning Workspace. Changing this forces a new resource to be created.
tags {[key: string]: string}: A mapping of tags to assign to the resource. Changing this forces a new resource to be created.

application_insights_id str: The ID of the Application Insights associated with this Machine Learning Workspace. Changing this forces a new resource to be created.
container_registry_id str: The ID of the container registry associated with this Machine Learning Workspace. Changing this forces a new resource to be created.
description str: The description of this Machine Learning Workspace.
friendly_name str: Friendly name for this Machine Learning Workspace.
identity Dict[WorkspaceIdentity]: An identity block defined below.
key_vault_id str: The ID of key vault associated with this Machine Learning Workspace. Changing this forces a new resource to be created.
location str: Specifies the supported Azure location where the Machine Learning Workspace should exist. Changing this forces a new resource to be created.
name str: Specifies the name of the Machine Learning Workspace. Changing this forces a new resource to be created.
resource_group_name str: Specifies the name of the Resource Group in which the Machine Learning Workspace should exist. Changing this forces a new resource to be created.
sku_name str: SKU/edition of the Machine Learning Workspace, possible values are Basic for a basic workspace or Enterprise for a feature rich workspace. Defaults to Basic.
storage_account_id str: The ID of the Storage Account associated with this Machine Learning Workspace. Changing this forces a new resource to be created.
tags Dict[str, str]: A mapping of tags to assign to the resource. Changing this forces a new resource to be created.

Supporting Types

WorkspaceIdentity

See the input and output API doc for this type.

Type string: The Type of Identity which should be used for this Disk Encryption Set. At this time the only possible value is SystemAssigned.
PrincipalId string: The (Client) ID of the Service Principal.
TenantId string: The ID of the Tenant the Service Principal is assigned in.

Type string: The Type of Identity which should be used for this Disk Encryption Set. At this time the only possible value is SystemAssigned.
PrincipalId string: The (Client) ID of the Service Principal.
TenantId string: The ID of the Tenant the Service Principal is assigned in.

type string: The Type of Identity which should be used for this Disk Encryption Set. At this time the only possible value is SystemAssigned.
principalId string: The (Client) ID of the Service Principal.
tenantId string: The ID of the Tenant the Service Principal is assigned in.

type str: The Type of Identity which should be used for this Disk Encryption Set. At this time the only possible value is SystemAssigned.
principal_id str: The (Client) ID of the Service Principal.
tenant_id str: The ID of the Tenant the Service Principal is assigned in.

Package Details

Repository: https://github.com/pulumi/pulumi-azure
License: Apache-2.0
Notes: This Pulumi package is based on the azurerm Terraform Provider.

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