We recommend using Azure Native.
published on Monday, Mar 9, 2026 by Pulumi
We recommend using Azure Native.
published on Monday, Mar 9, 2026 by Pulumi
Manages a Machine Learning Compute Instance.
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",
Tags =
{
{ "stage", "example" },
},
});
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 = "standard",
PurgeProtectionEnabled = true,
});
var exampleAccount = new Azure.Storage.Account("exampleAccount", new Azure.Storage.AccountArgs
{
Location = exampleResourceGroup.Location,
ResourceGroupName = exampleResourceGroup.Name,
AccountTier = "Standard",
AccountReplicationType = "LRS",
});
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",
},
});
var exampleVirtualNetwork = new Azure.Network.VirtualNetwork("exampleVirtualNetwork", new Azure.Network.VirtualNetworkArgs
{
AddressSpaces =
{
"10.1.0.0/16",
},
Location = exampleResourceGroup.Location,
ResourceGroupName = exampleResourceGroup.Name,
});
var exampleSubnet = new Azure.Network.Subnet("exampleSubnet", new Azure.Network.SubnetArgs
{
ResourceGroupName = exampleResourceGroup.Name,
VirtualNetworkName = exampleVirtualNetwork.Name,
AddressPrefixes =
{
"10.1.0.0/24",
},
});
var config = new Config();
var sshKey = config.Get("sshKey") ?? "ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQCqaZoyiz1qbdOQ8xEf6uEu1cCwYowo5FHtsBhqLoDnnp7KUTEBN+L2NxRIfQ781rxV6Iq5jSav6b2Q8z5KiseOlvKA/RF2wqU0UPYqQviQhLmW6THTpmrv/YkUCuzxDpsH7DUDhZcwySLKVVe0Qm3+5N2Ta6UYH3lsDf9R9wTP2K/+vAnflKebuypNlmocIvakFWoZda18FOmsOoIVXQ8HWFNCuw9ZCunMSN62QGamCe3dL5cXlkgHYv7ekJE15IA9aOJcM7e90oeTqo+7HTcWfdu0qQqPWY5ujyMw/llas8tsXY85LFqRnr3gJ02bAscjc477+X+j/gkpFoN1QEmt terraform@demo.tld";
var exampleComputeInstance = new Azure.MachineLearning.ComputeInstance("exampleComputeInstance", new Azure.MachineLearning.ComputeInstanceArgs
{
Location = exampleResourceGroup.Location,
MachineLearningWorkspaceId = exampleWorkspace.Id,
VirtualMachineSize = "STANDARD_DS2_V2",
AuthorizationType = "personal",
Ssh = new Azure.MachineLearning.Inputs.ComputeInstanceSshArgs
{
PublicKey = sshKey,
},
SubnetResourceId = exampleSubnet.Id,
Description = "foo",
Tags =
{
{ "foo", "bar" },
},
});
}
}
package main
import (
"github.com/pulumi/pulumi-azure/sdk/v4/go/azure/appinsights"
"github.com/pulumi/pulumi-azure/sdk/v4/go/azure/core"
"github.com/pulumi/pulumi-azure/sdk/v4/go/azure/keyvault"
"github.com/pulumi/pulumi-azure/sdk/v4/go/azure/machinelearning"
"github.com/pulumi/pulumi-azure/sdk/v4/go/azure/network"
"github.com/pulumi/pulumi-azure/sdk/v4/go/azure/storage"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi/config"
)
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"),
Tags: pulumi.StringMap{
"stage": pulumi.String("example"),
},
})
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("standard"),
PurgeProtectionEnabled: pulumi.Bool(true),
})
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("LRS"),
})
if err != nil {
return err
}
exampleWorkspace, 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
}
exampleVirtualNetwork, err := network.NewVirtualNetwork(ctx, "exampleVirtualNetwork", &network.VirtualNetworkArgs{
AddressSpaces: pulumi.StringArray{
pulumi.String("10.1.0.0/16"),
},
Location: exampleResourceGroup.Location,
ResourceGroupName: exampleResourceGroup.Name,
})
if err != nil {
return err
}
exampleSubnet, err := network.NewSubnet(ctx, "exampleSubnet", &network.SubnetArgs{
ResourceGroupName: exampleResourceGroup.Name,
VirtualNetworkName: exampleVirtualNetwork.Name,
AddressPrefixes: pulumi.StringArray{
pulumi.String("10.1.0.0/24"),
},
})
if err != nil {
return err
}
cfg := config.New(ctx, "")
sshKey := "ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQCqaZoyiz1qbdOQ8xEf6uEu1cCwYowo5FHtsBhqLoDnnp7KUTEBN+L2NxRIfQ781rxV6Iq5jSav6b2Q8z5KiseOlvKA/RF2wqU0UPYqQviQhLmW6THTpmrv/YkUCuzxDpsH7DUDhZcwySLKVVe0Qm3+5N2Ta6UYH3lsDf9R9wTP2K/+vAnflKebuypNlmocIvakFWoZda18FOmsOoIVXQ8HWFNCuw9ZCunMSN62QGamCe3dL5cXlkgHYv7ekJE15IA9aOJcM7e90oeTqo+7HTcWfdu0qQqPWY5ujyMw/llas8tsXY85LFqRnr3gJ02bAscjc477+X+j/gkpFoN1QEmt terraform@demo.tld"
if param := cfg.Get("sshKey"); param != "" {
sshKey = param
}
_, err = machinelearning.NewComputeInstance(ctx, "exampleComputeInstance", &machinelearning.ComputeInstanceArgs{
Location: exampleResourceGroup.Location,
MachineLearningWorkspaceId: exampleWorkspace.ID(),
VirtualMachineSize: pulumi.String("STANDARD_DS2_V2"),
AuthorizationType: pulumi.String("personal"),
Ssh: &machinelearning.ComputeInstanceSshArgs{
PublicKey: pulumi.String(sshKey),
},
SubnetResourceId: exampleSubnet.ID(),
Description: pulumi.String("foo"),
Tags: pulumi.StringMap{
"foo": pulumi.String("bar"),
},
})
if err != nil {
return err
}
return nil
})
}
Example coming soon!
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",
tags: {
stage: "example",
},
});
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: "standard",
purgeProtectionEnabled: true,
});
const exampleAccount = new azure.storage.Account("exampleAccount", {
location: exampleResourceGroup.location,
resourceGroupName: exampleResourceGroup.name,
accountTier: "Standard",
accountReplicationType: "LRS",
});
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",
},
});
const exampleVirtualNetwork = new azure.network.VirtualNetwork("exampleVirtualNetwork", {
addressSpaces: ["10.1.0.0/16"],
location: exampleResourceGroup.location,
resourceGroupName: exampleResourceGroup.name,
});
const exampleSubnet = new azure.network.Subnet("exampleSubnet", {
resourceGroupName: exampleResourceGroup.name,
virtualNetworkName: exampleVirtualNetwork.name,
addressPrefixes: ["10.1.0.0/24"],
});
const config = new pulumi.Config();
const sshKey = config.get("sshKey") || "ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQCqaZoyiz1qbdOQ8xEf6uEu1cCwYowo5FHtsBhqLoDnnp7KUTEBN+L2NxRIfQ781rxV6Iq5jSav6b2Q8z5KiseOlvKA/RF2wqU0UPYqQviQhLmW6THTpmrv/YkUCuzxDpsH7DUDhZcwySLKVVe0Qm3+5N2Ta6UYH3lsDf9R9wTP2K/+vAnflKebuypNlmocIvakFWoZda18FOmsOoIVXQ8HWFNCuw9ZCunMSN62QGamCe3dL5cXlkgHYv7ekJE15IA9aOJcM7e90oeTqo+7HTcWfdu0qQqPWY5ujyMw/llas8tsXY85LFqRnr3gJ02bAscjc477+X+j/gkpFoN1QEmt terraform@demo.tld";
const exampleComputeInstance = new azure.machinelearning.ComputeInstance("exampleComputeInstance", {
location: exampleResourceGroup.location,
machineLearningWorkspaceId: exampleWorkspace.id,
virtualMachineSize: "STANDARD_DS2_V2",
authorizationType: "personal",
ssh: {
publicKey: sshKey,
},
subnetResourceId: exampleSubnet.id,
description: "foo",
tags: {
foo: "bar",
},
});
import pulumi
import pulumi_azure as azure
current = azure.core.get_client_config()
example_resource_group = azure.core.ResourceGroup("exampleResourceGroup",
location="west europe",
tags={
"stage": "example",
})
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="standard",
purge_protection_enabled=True)
example_account = azure.storage.Account("exampleAccount",
location=example_resource_group.location,
resource_group_name=example_resource_group.name,
account_tier="Standard",
account_replication_type="LRS")
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=azure.machinelearning.WorkspaceIdentityArgs(
type="SystemAssigned",
))
example_virtual_network = azure.network.VirtualNetwork("exampleVirtualNetwork",
address_spaces=["10.1.0.0/16"],
location=example_resource_group.location,
resource_group_name=example_resource_group.name)
example_subnet = azure.network.Subnet("exampleSubnet",
resource_group_name=example_resource_group.name,
virtual_network_name=example_virtual_network.name,
address_prefixes=["10.1.0.0/24"])
config = pulumi.Config()
ssh_key = config.get("sshKey")
if ssh_key is None:
ssh_key = "ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQCqaZoyiz1qbdOQ8xEf6uEu1cCwYowo5FHtsBhqLoDnnp7KUTEBN+L2NxRIfQ781rxV6Iq5jSav6b2Q8z5KiseOlvKA/RF2wqU0UPYqQviQhLmW6THTpmrv/YkUCuzxDpsH7DUDhZcwySLKVVe0Qm3+5N2Ta6UYH3lsDf9R9wTP2K/+vAnflKebuypNlmocIvakFWoZda18FOmsOoIVXQ8HWFNCuw9ZCunMSN62QGamCe3dL5cXlkgHYv7ekJE15IA9aOJcM7e90oeTqo+7HTcWfdu0qQqPWY5ujyMw/llas8tsXY85LFqRnr3gJ02bAscjc477+X+j/gkpFoN1QEmt terraform@demo.tld"
example_compute_instance = azure.machinelearning.ComputeInstance("exampleComputeInstance",
location=example_resource_group.location,
machine_learning_workspace_id=example_workspace.id,
virtual_machine_size="STANDARD_DS2_V2",
authorization_type="personal",
ssh=azure.machinelearning.ComputeInstanceSshArgs(
public_key=ssh_key,
),
subnet_resource_id=example_subnet.id,
description="foo",
tags={
"foo": "bar",
})
Example coming soon!
Create ComputeInstance Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new ComputeInstance(name: string, args: ComputeInstanceArgs, opts?: CustomResourceOptions);@overload
def ComputeInstance(resource_name: str,
args: ComputeInstanceArgs,
opts: Optional[ResourceOptions] = None)
@overload
def ComputeInstance(resource_name: str,
opts: Optional[ResourceOptions] = None,
machine_learning_workspace_id: Optional[str] = None,
virtual_machine_size: Optional[str] = None,
assign_to_user: Optional[ComputeInstanceAssignToUserArgs] = None,
authorization_type: Optional[str] = None,
description: Optional[str] = None,
identity: Optional[ComputeInstanceIdentityArgs] = None,
local_auth_enabled: Optional[bool] = None,
location: Optional[str] = None,
name: Optional[str] = None,
ssh: Optional[ComputeInstanceSshArgs] = None,
subnet_resource_id: Optional[str] = None,
tags: Optional[Mapping[str, str]] = None)func NewComputeInstance(ctx *Context, name string, args ComputeInstanceArgs, opts ...ResourceOption) (*ComputeInstance, error)public ComputeInstance(string name, ComputeInstanceArgs args, CustomResourceOptions? opts = null)
public ComputeInstance(String name, ComputeInstanceArgs args)
public ComputeInstance(String name, ComputeInstanceArgs args, CustomResourceOptions options)
type: azure:machinelearning:ComputeInstance
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 ComputeInstanceArgs
- 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 ComputeInstanceArgs
- 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 ComputeInstanceArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args ComputeInstanceArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args ComputeInstanceArgs
- 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 computeInstanceResource = new Azure.MachineLearning.ComputeInstance("computeInstanceResource", new()
{
MachineLearningWorkspaceId = "string",
VirtualMachineSize = "string",
AssignToUser = new Azure.MachineLearning.Inputs.ComputeInstanceAssignToUserArgs
{
ObjectId = "string",
TenantId = "string",
},
AuthorizationType = "string",
Description = "string",
Identity = new Azure.MachineLearning.Inputs.ComputeInstanceIdentityArgs
{
Type = "string",
IdentityIds = new[]
{
"string",
},
PrincipalId = "string",
TenantId = "string",
},
LocalAuthEnabled = false,
Location = "string",
Name = "string",
Ssh = new Azure.MachineLearning.Inputs.ComputeInstanceSshArgs
{
PublicKey = "string",
Port = 0,
Username = "string",
},
SubnetResourceId = "string",
Tags =
{
{ "string", "string" },
},
});
example, err := machinelearning.NewComputeInstance(ctx, "computeInstanceResource", &machinelearning.ComputeInstanceArgs{
MachineLearningWorkspaceId: pulumi.String("string"),
VirtualMachineSize: pulumi.String("string"),
AssignToUser: &machinelearning.ComputeInstanceAssignToUserArgs{
ObjectId: pulumi.String("string"),
TenantId: pulumi.String("string"),
},
AuthorizationType: pulumi.String("string"),
Description: pulumi.String("string"),
Identity: &machinelearning.ComputeInstanceIdentityArgs{
Type: pulumi.String("string"),
IdentityIds: pulumi.StringArray{
pulumi.String("string"),
},
PrincipalId: pulumi.String("string"),
TenantId: pulumi.String("string"),
},
LocalAuthEnabled: pulumi.Bool(false),
Location: pulumi.String("string"),
Name: pulumi.String("string"),
Ssh: &machinelearning.ComputeInstanceSshArgs{
PublicKey: pulumi.String("string"),
Port: pulumi.Int(0),
Username: pulumi.String("string"),
},
SubnetResourceId: pulumi.String("string"),
Tags: pulumi.StringMap{
"string": pulumi.String("string"),
},
})
var computeInstanceResource = new ComputeInstance("computeInstanceResource", ComputeInstanceArgs.builder()
.machineLearningWorkspaceId("string")
.virtualMachineSize("string")
.assignToUser(ComputeInstanceAssignToUserArgs.builder()
.objectId("string")
.tenantId("string")
.build())
.authorizationType("string")
.description("string")
.identity(ComputeInstanceIdentityArgs.builder()
.type("string")
.identityIds("string")
.principalId("string")
.tenantId("string")
.build())
.localAuthEnabled(false)
.location("string")
.name("string")
.ssh(ComputeInstanceSshArgs.builder()
.publicKey("string")
.port(0)
.username("string")
.build())
.subnetResourceId("string")
.tags(Map.of("string", "string"))
.build());
compute_instance_resource = azure.machinelearning.ComputeInstance("computeInstanceResource",
machine_learning_workspace_id="string",
virtual_machine_size="string",
assign_to_user={
"object_id": "string",
"tenant_id": "string",
},
authorization_type="string",
description="string",
identity={
"type": "string",
"identity_ids": ["string"],
"principal_id": "string",
"tenant_id": "string",
},
local_auth_enabled=False,
location="string",
name="string",
ssh={
"public_key": "string",
"port": 0,
"username": "string",
},
subnet_resource_id="string",
tags={
"string": "string",
})
const computeInstanceResource = new azure.machinelearning.ComputeInstance("computeInstanceResource", {
machineLearningWorkspaceId: "string",
virtualMachineSize: "string",
assignToUser: {
objectId: "string",
tenantId: "string",
},
authorizationType: "string",
description: "string",
identity: {
type: "string",
identityIds: ["string"],
principalId: "string",
tenantId: "string",
},
localAuthEnabled: false,
location: "string",
name: "string",
ssh: {
publicKey: "string",
port: 0,
username: "string",
},
subnetResourceId: "string",
tags: {
string: "string",
},
});
type: azure:machinelearning:ComputeInstance
properties:
assignToUser:
objectId: string
tenantId: string
authorizationType: string
description: string
identity:
identityIds:
- string
principalId: string
tenantId: string
type: string
localAuthEnabled: false
location: string
machineLearningWorkspaceId: string
name: string
ssh:
port: 0
publicKey: string
username: string
subnetResourceId: string
tags:
string: string
virtualMachineSize: string
ComputeInstance 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 ComputeInstance resource accepts the following input properties:
- Machine
Learning stringWorkspace Id - The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
- Virtual
Machine stringSize - The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
- Assign
To ComputeUser Instance Assign To User - A
assign_to_userblock as defined below. A user explicitly assigned to a personal compute instance. Changing this forces a new Machine Learning Compute Instance to be created. - string
- The Compute Instance Authorization type. Possible values include:
personal. Changing this forces a new Machine Learning Compute Instance to be created. - Description string
- The description of the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- Identity
Compute
Instance Identity - An
identityblock as defined below. Changing this forces a new Machine Learning Compute Instance to be created. - Local
Auth boolEnabled - Whether local authentication methods is enabled. Defaults to
true. Changing this forces a new Machine Learning Compute Instance to be created. - Location string
- The Azure Region where the Machine Learning Compute Instance should exist. Changing this forces a new Machine Learning Compute Instance to be created.
- Name string
- The name which should be used for this Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- Ssh
Compute
Instance Ssh - A
sshblock as defined below. Specifies policy and settings for SSH access. Changing this forces a new Machine Learning Compute Instance to be created. - Subnet
Resource stringId - Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.
- Dictionary<string, string>
- A mapping of tags which should be assigned to the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- Machine
Learning stringWorkspace Id - The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
- Virtual
Machine stringSize - The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
- Assign
To ComputeUser Instance Assign To User Args - A
assign_to_userblock as defined below. A user explicitly assigned to a personal compute instance. Changing this forces a new Machine Learning Compute Instance to be created. - string
- The Compute Instance Authorization type. Possible values include:
personal. Changing this forces a new Machine Learning Compute Instance to be created. - Description string
- The description of the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- Identity
Compute
Instance Identity Args - An
identityblock as defined below. Changing this forces a new Machine Learning Compute Instance to be created. - Local
Auth boolEnabled - Whether local authentication methods is enabled. Defaults to
true. Changing this forces a new Machine Learning Compute Instance to be created. - Location string
- The Azure Region where the Machine Learning Compute Instance should exist. Changing this forces a new Machine Learning Compute Instance to be created.
- Name string
- The name which should be used for this Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- Ssh
Compute
Instance Ssh Args - A
sshblock as defined below. Specifies policy and settings for SSH access. Changing this forces a new Machine Learning Compute Instance to be created. - Subnet
Resource stringId - Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.
- map[string]string
- A mapping of tags which should be assigned to the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- machine
Learning StringWorkspace Id - The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
- virtual
Machine StringSize - The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
- assign
To ComputeUser Instance Assign To User - A
assign_to_userblock as defined below. A user explicitly assigned to a personal compute instance. Changing this forces a new Machine Learning Compute Instance to be created. - String
- The Compute Instance Authorization type. Possible values include:
personal. Changing this forces a new Machine Learning Compute Instance to be created. - description String
- The description of the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- identity
Compute
Instance Identity - An
identityblock as defined below. Changing this forces a new Machine Learning Compute Instance to be created. - local
Auth BooleanEnabled - Whether local authentication methods is enabled. Defaults to
true. Changing this forces a new Machine Learning Compute Instance to be created. - location String
- The Azure Region where the Machine Learning Compute Instance should exist. Changing this forces a new Machine Learning Compute Instance to be created.
- name String
- The name which should be used for this Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- ssh
Compute
Instance Ssh - A
sshblock as defined below. Specifies policy and settings for SSH access. Changing this forces a new Machine Learning Compute Instance to be created. - subnet
Resource StringId - Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.
- Map<String,String>
- A mapping of tags which should be assigned to the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- machine
Learning stringWorkspace Id - The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
- virtual
Machine stringSize - The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
- assign
To ComputeUser Instance Assign To User - A
assign_to_userblock as defined below. A user explicitly assigned to a personal compute instance. Changing this forces a new Machine Learning Compute Instance to be created. - string
- The Compute Instance Authorization type. Possible values include:
personal. Changing this forces a new Machine Learning Compute Instance to be created. - description string
- The description of the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- identity
Compute
Instance Identity - An
identityblock as defined below. Changing this forces a new Machine Learning Compute Instance to be created. - local
Auth booleanEnabled - Whether local authentication methods is enabled. Defaults to
true. Changing this forces a new Machine Learning Compute Instance to be created. - location string
- The Azure Region where the Machine Learning Compute Instance should exist. Changing this forces a new Machine Learning Compute Instance to be created.
- name string
- The name which should be used for this Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- ssh
Compute
Instance Ssh - A
sshblock as defined below. Specifies policy and settings for SSH access. Changing this forces a new Machine Learning Compute Instance to be created. - subnet
Resource stringId - Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.
- {[key: string]: string}
- A mapping of tags which should be assigned to the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- machine_
learning_ strworkspace_ id - The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
- virtual_
machine_ strsize - The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
- assign_
to_ Computeuser Instance Assign To User Args - A
assign_to_userblock as defined below. A user explicitly assigned to a personal compute instance. Changing this forces a new Machine Learning Compute Instance to be created. - str
- The Compute Instance Authorization type. Possible values include:
personal. Changing this forces a new Machine Learning Compute Instance to be created. - description str
- The description of the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- identity
Compute
Instance Identity Args - An
identityblock as defined below. Changing this forces a new Machine Learning Compute Instance to be created. - local_
auth_ boolenabled - Whether local authentication methods is enabled. Defaults to
true. Changing this forces a new Machine Learning Compute Instance to be created. - location str
- The Azure Region where the Machine Learning Compute Instance should exist. Changing this forces a new Machine Learning Compute Instance to be created.
- name str
- The name which should be used for this Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- ssh
Compute
Instance Ssh Args - A
sshblock as defined below. Specifies policy and settings for SSH access. Changing this forces a new Machine Learning Compute Instance to be created. - subnet_
resource_ strid - Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.
- Mapping[str, str]
- A mapping of tags which should be assigned to the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- machine
Learning StringWorkspace Id - The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
- virtual
Machine StringSize - The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
- assign
To Property MapUser - A
assign_to_userblock as defined below. A user explicitly assigned to a personal compute instance. Changing this forces a new Machine Learning Compute Instance to be created. - String
- The Compute Instance Authorization type. Possible values include:
personal. Changing this forces a new Machine Learning Compute Instance to be created. - description String
- The description of the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- identity Property Map
- An
identityblock as defined below. Changing this forces a new Machine Learning Compute Instance to be created. - local
Auth BooleanEnabled - Whether local authentication methods is enabled. Defaults to
true. Changing this forces a new Machine Learning Compute Instance to be created. - location String
- The Azure Region where the Machine Learning Compute Instance should exist. Changing this forces a new Machine Learning Compute Instance to be created.
- name String
- The name which should be used for this Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- ssh Property Map
- A
sshblock as defined below. Specifies policy and settings for SSH access. Changing this forces a new Machine Learning Compute Instance to be created. - subnet
Resource StringId - Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.
- Map<String>
- A mapping of tags which should be assigned to the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
Outputs
All input properties are implicitly available as output properties. Additionally, the ComputeInstance 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 ComputeInstance Resource
Get an existing ComputeInstance 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?: ComputeInstanceState, opts?: CustomResourceOptions): ComputeInstance@staticmethod
def get(resource_name: str,
id: str,
opts: Optional[ResourceOptions] = None,
assign_to_user: Optional[ComputeInstanceAssignToUserArgs] = None,
authorization_type: Optional[str] = None,
description: Optional[str] = None,
identity: Optional[ComputeInstanceIdentityArgs] = None,
local_auth_enabled: Optional[bool] = None,
location: Optional[str] = None,
machine_learning_workspace_id: Optional[str] = None,
name: Optional[str] = None,
ssh: Optional[ComputeInstanceSshArgs] = None,
subnet_resource_id: Optional[str] = None,
tags: Optional[Mapping[str, str]] = None,
virtual_machine_size: Optional[str] = None) -> ComputeInstancefunc GetComputeInstance(ctx *Context, name string, id IDInput, state *ComputeInstanceState, opts ...ResourceOption) (*ComputeInstance, error)public static ComputeInstance Get(string name, Input<string> id, ComputeInstanceState? state, CustomResourceOptions? opts = null)public static ComputeInstance get(String name, Output<String> id, ComputeInstanceState state, CustomResourceOptions options)resources: _: type: azure:machinelearning:ComputeInstance 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.
- Assign
To ComputeUser Instance Assign To User - A
assign_to_userblock as defined below. A user explicitly assigned to a personal compute instance. Changing this forces a new Machine Learning Compute Instance to be created. - string
- The Compute Instance Authorization type. Possible values include:
personal. Changing this forces a new Machine Learning Compute Instance to be created. - Description string
- The description of the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- Identity
Compute
Instance Identity - An
identityblock as defined below. Changing this forces a new Machine Learning Compute Instance to be created. - Local
Auth boolEnabled - Whether local authentication methods is enabled. Defaults to
true. Changing this forces a new Machine Learning Compute Instance to be created. - Location string
- The Azure Region where the Machine Learning Compute Instance should exist. Changing this forces a new Machine Learning Compute Instance to be created.
- Machine
Learning stringWorkspace Id - The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
- Name string
- The name which should be used for this Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- Ssh
Compute
Instance Ssh - A
sshblock as defined below. Specifies policy and settings for SSH access. Changing this forces a new Machine Learning Compute Instance to be created. - Subnet
Resource stringId - Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.
- Dictionary<string, string>
- A mapping of tags which should be assigned to the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- Virtual
Machine stringSize - The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
- Assign
To ComputeUser Instance Assign To User Args - A
assign_to_userblock as defined below. A user explicitly assigned to a personal compute instance. Changing this forces a new Machine Learning Compute Instance to be created. - string
- The Compute Instance Authorization type. Possible values include:
personal. Changing this forces a new Machine Learning Compute Instance to be created. - Description string
- The description of the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- Identity
Compute
Instance Identity Args - An
identityblock as defined below. Changing this forces a new Machine Learning Compute Instance to be created. - Local
Auth boolEnabled - Whether local authentication methods is enabled. Defaults to
true. Changing this forces a new Machine Learning Compute Instance to be created. - Location string
- The Azure Region where the Machine Learning Compute Instance should exist. Changing this forces a new Machine Learning Compute Instance to be created.
- Machine
Learning stringWorkspace Id - The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
- Name string
- The name which should be used for this Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- Ssh
Compute
Instance Ssh Args - A
sshblock as defined below. Specifies policy and settings for SSH access. Changing this forces a new Machine Learning Compute Instance to be created. - Subnet
Resource stringId - Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.
- map[string]string
- A mapping of tags which should be assigned to the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- Virtual
Machine stringSize - The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
- assign
To ComputeUser Instance Assign To User - A
assign_to_userblock as defined below. A user explicitly assigned to a personal compute instance. Changing this forces a new Machine Learning Compute Instance to be created. - String
- The Compute Instance Authorization type. Possible values include:
personal. Changing this forces a new Machine Learning Compute Instance to be created. - description String
- The description of the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- identity
Compute
Instance Identity - An
identityblock as defined below. Changing this forces a new Machine Learning Compute Instance to be created. - local
Auth BooleanEnabled - Whether local authentication methods is enabled. Defaults to
true. Changing this forces a new Machine Learning Compute Instance to be created. - location String
- The Azure Region where the Machine Learning Compute Instance should exist. Changing this forces a new Machine Learning Compute Instance to be created.
- machine
Learning StringWorkspace Id - The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
- name String
- The name which should be used for this Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- ssh
Compute
Instance Ssh - A
sshblock as defined below. Specifies policy and settings for SSH access. Changing this forces a new Machine Learning Compute Instance to be created. - subnet
Resource StringId - Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.
- Map<String,String>
- A mapping of tags which should be assigned to the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- virtual
Machine StringSize - The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
- assign
To ComputeUser Instance Assign To User - A
assign_to_userblock as defined below. A user explicitly assigned to a personal compute instance. Changing this forces a new Machine Learning Compute Instance to be created. - string
- The Compute Instance Authorization type. Possible values include:
personal. Changing this forces a new Machine Learning Compute Instance to be created. - description string
- The description of the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- identity
Compute
Instance Identity - An
identityblock as defined below. Changing this forces a new Machine Learning Compute Instance to be created. - local
Auth booleanEnabled - Whether local authentication methods is enabled. Defaults to
true. Changing this forces a new Machine Learning Compute Instance to be created. - location string
- The Azure Region where the Machine Learning Compute Instance should exist. Changing this forces a new Machine Learning Compute Instance to be created.
- machine
Learning stringWorkspace Id - The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
- name string
- The name which should be used for this Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- ssh
Compute
Instance Ssh - A
sshblock as defined below. Specifies policy and settings for SSH access. Changing this forces a new Machine Learning Compute Instance to be created. - subnet
Resource stringId - Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.
- {[key: string]: string}
- A mapping of tags which should be assigned to the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- virtual
Machine stringSize - The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
- assign_
to_ Computeuser Instance Assign To User Args - A
assign_to_userblock as defined below. A user explicitly assigned to a personal compute instance. Changing this forces a new Machine Learning Compute Instance to be created. - str
- The Compute Instance Authorization type. Possible values include:
personal. Changing this forces a new Machine Learning Compute Instance to be created. - description str
- The description of the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- identity
Compute
Instance Identity Args - An
identityblock as defined below. Changing this forces a new Machine Learning Compute Instance to be created. - local_
auth_ boolenabled - Whether local authentication methods is enabled. Defaults to
true. Changing this forces a new Machine Learning Compute Instance to be created. - location str
- The Azure Region where the Machine Learning Compute Instance should exist. Changing this forces a new Machine Learning Compute Instance to be created.
- machine_
learning_ strworkspace_ id - The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
- name str
- The name which should be used for this Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- ssh
Compute
Instance Ssh Args - A
sshblock as defined below. Specifies policy and settings for SSH access. Changing this forces a new Machine Learning Compute Instance to be created. - subnet_
resource_ strid - Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.
- Mapping[str, str]
- A mapping of tags which should be assigned to the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- virtual_
machine_ strsize - The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
- assign
To Property MapUser - A
assign_to_userblock as defined below. A user explicitly assigned to a personal compute instance. Changing this forces a new Machine Learning Compute Instance to be created. - String
- The Compute Instance Authorization type. Possible values include:
personal. Changing this forces a new Machine Learning Compute Instance to be created. - description String
- The description of the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- identity Property Map
- An
identityblock as defined below. Changing this forces a new Machine Learning Compute Instance to be created. - local
Auth BooleanEnabled - Whether local authentication methods is enabled. Defaults to
true. Changing this forces a new Machine Learning Compute Instance to be created. - location String
- The Azure Region where the Machine Learning Compute Instance should exist. Changing this forces a new Machine Learning Compute Instance to be created.
- machine
Learning StringWorkspace Id - The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Instance to be created.
- name String
- The name which should be used for this Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- ssh Property Map
- A
sshblock as defined below. Specifies policy and settings for SSH access. Changing this forces a new Machine Learning Compute Instance to be created. - subnet
Resource StringId - Virtual network subnet resource ID the compute nodes belong to. Changing this forces a new Machine Learning Compute Instance to be created.
- Map<String>
- A mapping of tags which should be assigned to the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- virtual
Machine StringSize - The Virtual Machine Size. Changing this forces a new Machine Learning Compute Instance to be created.
Supporting Types
ComputeInstanceAssignToUser, ComputeInstanceAssignToUserArgs
ComputeInstanceIdentity, ComputeInstanceIdentityArgs
- Type string
- The Type of Identity which should be used for this Machine Learning Synapse Spark. Possible values are
SystemAssigned,UserAssignedandSystemAssigned, UserAssigned(to enable both). - Identity
Ids List<string> - A list of User Managed Identity ID's which should be assigned to the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- Principal
Id string - The Principal ID for the Service Principal associated with the Managed Service Identity of this Machine Learning Compute Instance.
- Tenant
Id string - User’s AAD Tenant Id.
- Type string
- The Type of Identity which should be used for this Machine Learning Synapse Spark. Possible values are
SystemAssigned,UserAssignedandSystemAssigned, UserAssigned(to enable both). - Identity
Ids []string - A list of User Managed Identity ID's which should be assigned to the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- Principal
Id string - The Principal ID for the Service Principal associated with the Managed Service Identity of this Machine Learning Compute Instance.
- Tenant
Id string - User’s AAD Tenant Id.
- type String
- The Type of Identity which should be used for this Machine Learning Synapse Spark. Possible values are
SystemAssigned,UserAssignedandSystemAssigned, UserAssigned(to enable both). - identity
Ids List<String> - A list of User Managed Identity ID's which should be assigned to the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- principal
Id String - The Principal ID for the Service Principal associated with the Managed Service Identity of this Machine Learning Compute Instance.
- tenant
Id String - User’s AAD Tenant Id.
- type string
- The Type of Identity which should be used for this Machine Learning Synapse Spark. Possible values are
SystemAssigned,UserAssignedandSystemAssigned, UserAssigned(to enable both). - identity
Ids string[] - A list of User Managed Identity ID's which should be assigned to the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- principal
Id string - The Principal ID for the Service Principal associated with the Managed Service Identity of this Machine Learning Compute Instance.
- tenant
Id string - User’s AAD Tenant Id.
- type str
- The Type of Identity which should be used for this Machine Learning Synapse Spark. Possible values are
SystemAssigned,UserAssignedandSystemAssigned, UserAssigned(to enable both). - identity_
ids Sequence[str] - A list of User Managed Identity ID's which should be assigned to the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- principal_
id str - The Principal ID for the Service Principal associated with the Managed Service Identity of this Machine Learning Compute Instance.
- tenant_
id str - User’s AAD Tenant Id.
- type String
- The Type of Identity which should be used for this Machine Learning Synapse Spark. Possible values are
SystemAssigned,UserAssignedandSystemAssigned, UserAssigned(to enable both). - identity
Ids List<String> - A list of User Managed Identity ID's which should be assigned to the Machine Learning Compute Instance. Changing this forces a new Machine Learning Compute Instance to be created.
- principal
Id String - The Principal ID for the Service Principal associated with the Managed Service Identity of this Machine Learning Compute Instance.
- tenant
Id String - User’s AAD Tenant Id.
ComputeInstanceSsh, ComputeInstanceSshArgs
- public_
key str - Specifies the SSH rsa public key file as a string. Use "ssh-keygen -t rsa -b 2048" to generate your SSH key pairs.
- port int
- Describes the port for connecting through SSH.
- username str
- The admin username of this Machine Learning Compute Instance.
Import
Machine Learning Compute Instances can be imported using the resource id, e.g.
$ pulumi import azure:machinelearning/computeInstance:ComputeInstance example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/resGroup1/providers/Microsoft.MachineLearningServices/workspaces/workspace1/computes/compute1
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
azurermTerraform Provider.
We recommend using Azure Native.
published on Monday, Mar 9, 2026 by Pulumi
