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These are the docs for Azure Native v1. We recommenend using the latest version, Azure Native v2.
Azure Native v1 v1.104.0 published on Thursday, Jul 6, 2023 by Pulumi
pulumi/pulumi-azure-native

azure-native.machinelearningservices.ModelVersion

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These are the docs for Azure Native v1. We recommenend using the latest version, Azure Native v2.
Azure Native v1 v1.104.0 published on Thursday, Jul 6, 2023 by Pulumi
pulumi/pulumi-azure-native

    Azure Resource Manager resource envelope. API Version: 2021-03-01-preview.

    Example Usage

    CreateOrUpdate Model Version.

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

return await Deployment.RunAsync(() => 
{
    var modelVersion = new AzureNative.MachineLearningServices.ModelVersion("modelVersion", new()
    {
        Name = "testContainer",
        Properties = new AzureNative.MachineLearningServices.Inputs.ModelVersionArgs
        {
            DatastoreId = "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/testrg123/providers/Microsoft.MachineLearningServices/workspaces/workspace123/datastores/datastore123",
            Description = "Model version description",
            Flavors = 
            {
                { "python_function", new AzureNative.MachineLearningServices.Inputs.FlavorDataArgs
                {
                    Data = 
                    {
                        { "loader_module", "myLoaderModule" },
                    },
                } },
            },
            Path = "path/in/datastore",
            Properties = 
            {
                { "prop1", "value1" },
                { "prop2", "value2" },
            },
            Tags = 
            {
                { "tag1", "value1" },
                { "tag2", "value2" },
            },
        },
        ResourceGroupName = "testrg123",
        Version = "1",
        WorkspaceName = "workspace123",
    });

});

    package main

import (
	machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := machinelearningservices.NewModelVersion(ctx, "modelVersion", &machinelearningservices.ModelVersionArgs{
			Name: pulumi.String("testContainer"),
			Properties: machinelearningservices.ModelVersionResponse{
				DatastoreId: pulumi.String("/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/testrg123/providers/Microsoft.MachineLearningServices/workspaces/workspace123/datastores/datastore123"),
				Description: pulumi.String("Model version description"),
				Flavors: machinelearningservices.FlavorDataMap{
					"python_function": &machinelearningservices.FlavorDataArgs{
						Data: pulumi.StringMap{
							"loader_module": pulumi.String("myLoaderModule"),
						},
					},
				},
				Path: pulumi.String("path/in/datastore"),
				Properties: pulumi.StringMap{
					"prop1": pulumi.String("value1"),
					"prop2": pulumi.String("value2"),
				},
				Tags: pulumi.StringMap{
					"tag1": pulumi.String("value1"),
					"tag2": pulumi.String("value2"),
				},
			},
			ResourceGroupName: pulumi.String("testrg123"),
			Version:           pulumi.String("1"),
			WorkspaceName:     pulumi.String("workspace123"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azurenative.machinelearningservices.ModelVersion;
import com.pulumi.azurenative.machinelearningservices.ModelVersionArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        var modelVersion = new ModelVersion("modelVersion", ModelVersionArgs.builder()        
            .name("testContainer")
            .properties(Map.ofEntries(
                Map.entry("datastoreId", "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/testrg123/providers/Microsoft.MachineLearningServices/workspaces/workspace123/datastores/datastore123"),
                Map.entry("description", "Model version description"),
                Map.entry("flavors", Map.of("python_function", Map.of("data", Map.of("loader_module", "myLoaderModule")))),
                Map.entry("path", "path/in/datastore"),
                Map.entry("properties", Map.ofEntries(
                    Map.entry("prop1", "value1"),
                    Map.entry("prop2", "value2")
                )),
                Map.entry("tags", Map.ofEntries(
                    Map.entry("tag1", "value1"),
                    Map.entry("tag2", "value2")
                ))
            ))
            .resourceGroupName("testrg123")
            .version("1")
            .workspaceName("workspace123")
            .build());

    }
}

    import pulumi
import pulumi_azure_native as azure_native

model_version = azure_native.machinelearningservices.ModelVersion("modelVersion",
    name="testContainer",
    properties=azure_native.machinelearningservices.ModelVersionResponseArgs(
        datastore_id="/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/testrg123/providers/Microsoft.MachineLearningServices/workspaces/workspace123/datastores/datastore123",
        description="Model version description",
        flavors={
            "python_function": azure_native.machinelearningservices.FlavorDataArgs(
                data={
                    "loader_module": "myLoaderModule",
                },
            ),
        },
        path="path/in/datastore",
        properties={
            "prop1": "value1",
            "prop2": "value2",
        },
        tags={
            "tag1": "value1",
            "tag2": "value2",
        },
    ),
    resource_group_name="testrg123",
    version="1",
    workspace_name="workspace123")

    import * as pulumi from "@pulumi/pulumi";
import * as azure_native from "@pulumi/azure-native";

const modelVersion = new azure_native.machinelearningservices.ModelVersion("modelVersion", {
    name: "testContainer",
    properties: {
        datastoreId: "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/testrg123/providers/Microsoft.MachineLearningServices/workspaces/workspace123/datastores/datastore123",
        description: "Model version description",
        flavors: {
            python_function: {
                data: {
                    loader_module: "myLoaderModule",
                },
            },
        },
        path: "path/in/datastore",
        properties: {
            prop1: "value1",
            prop2: "value2",
        },
        tags: {
            tag1: "value1",
            tag2: "value2",
        },
    },
    resourceGroupName: "testrg123",
    version: "1",
    workspaceName: "workspace123",
});

    resources:
  modelVersion:
    type: azure-native:machinelearningservices:ModelVersion
    properties:
      name: testContainer
      properties:
        datastoreId: /subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/testrg123/providers/Microsoft.MachineLearningServices/workspaces/workspace123/datastores/datastore123
        description: Model version description
        flavors:
          python_function:
            data:
              loader_module: myLoaderModule
        path: path/in/datastore
        properties:
          prop1: value1
          prop2: value2
        tags:
          tag1: value1
          tag2: value2
      resourceGroupName: testrg123
      version: '1'
      workspaceName: workspace123

    Create ModelVersion Resource

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

    Constructor syntax

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

@overload
def ModelVersion(resource_name: str,
                 opts: Optional[ResourceOptions] = None,
                 name: Optional[str] = None,
                 properties: Optional[ModelVersionArgs] = None,
                 resource_group_name: Optional[str] = None,
                 workspace_name: Optional[str] = None,
                 version: Optional[str] = None)
    func NewModelVersion(ctx *Context, name string, args ModelVersionArgs, opts ...ResourceOption) (*ModelVersion, error)
    public ModelVersion(string name, ModelVersionArgs args, CustomResourceOptions? opts = null)
    public ModelVersion(String name, ModelVersionArgs args)
public ModelVersion(String name, ModelVersionArgs args, CustomResourceOptions options)

    type: azure-native:machinelearningservices:ModelVersion
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 ModelVersionArgs
    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 ModelVersionInitArgs
    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 ModelVersionArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args ModelVersionArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args ModelVersionArgs
    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 modelVersionResource = new AzureNative.Machinelearningservices.ModelVersion("modelVersionResource", new()
{
    Name = "string",
    Properties = 
    {
        { "path", "string" },
        { "datastoreId", "string" },
        { "description", "string" },
        { "flavors", 
        {
            { "string", 
            {
                { "data", 
                {
                    { "string", "string" },
                } },
            } },
        } },
        { "isAnonymous", false },
        { "properties", 
        {
            { "string", "string" },
        } },
        { "tags", 
        {
            { "string", "string" },
        } },
    },
    ResourceGroupName = "string",
    WorkspaceName = "string",
    Version = "string",
});

    example, err := machinelearningservices.NewModelVersion(ctx, "modelVersionResource", &machinelearningservices.ModelVersionArgs{
	Name: "string",
	Properties: map[string]interface{}{
		"path":        "string",
		"datastoreId": "string",
		"description": "string",
		"flavors": map[string]interface{}{
			"string": map[string]interface{}{
				"data": map[string]interface{}{
					"string": "string",
				},
			},
		},
		"isAnonymous": false,
		"properties": map[string]interface{}{
			"string": "string",
		},
		"tags": map[string]interface{}{
			"string": "string",
		},
	},
	ResourceGroupName: "string",
	WorkspaceName:     "string",
	Version:           "string",
})

    var modelVersionResource = new ModelVersion("modelVersionResource", ModelVersionArgs.builder()
    .name("string")
    .properties(%!v(PANIC=Format method: runtime error: invalid memory address or nil pointer dereference))
    .resourceGroupName("string")
    .workspaceName("string")
    .version("string")
    .build());

    model_version_resource = azure_native.machinelearningservices.ModelVersion("modelVersionResource",
    name=string,
    properties={
        path: string,
        datastoreId: string,
        description: string,
        flavors: {
            string: {
                data: {
                    string: string,
                },
            },
        },
        isAnonymous: False,
        properties: {
            string: string,
        },
        tags: {
            string: string,
        },
    },
    resource_group_name=string,
    workspace_name=string,
    version=string)

    const modelVersionResource = new azure_native.machinelearningservices.ModelVersion("modelVersionResource", {
    name: "string",
    properties: {
        path: "string",
        datastoreId: "string",
        description: "string",
        flavors: {
            string: {
                data: {
                    string: "string",
                },
            },
        },
        isAnonymous: false,
        properties: {
            string: "string",
        },
        tags: {
            string: "string",
        },
    },
    resourceGroupName: "string",
    workspaceName: "string",
    version: "string",
});

    type: azure-native:machinelearningservices:ModelVersion
properties:
    name: string
    properties:
        datastoreId: string
        description: string
        flavors:
            string:
                data:
                    string: string
        isAnonymous: false
        path: string
        properties:
            string: string
        tags:
            string: string
    resourceGroupName: string
    version: string
    workspaceName: string

    ModelVersion 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 ModelVersion resource accepts the following input properties:

    Name string
    Container name.
    Properties Pulumi.AzureNative.MachineLearningServices.Inputs.ModelVersion
    [Required] Additional attributes of the entity.
    ResourceGroupName string
    The name of the resource group. The name is case insensitive.
    WorkspaceName string
    Name of Azure Machine Learning workspace.
    Version string
    Version identifier.
    Name string
    Container name.
    Properties ModelVersionTypeArgs
    [Required] Additional attributes of the entity.
    ResourceGroupName string
    The name of the resource group. The name is case insensitive.
    WorkspaceName string
    Name of Azure Machine Learning workspace.
    Version string
    Version identifier.
    name String
    Container name.
    properties ModelVersion
    [Required] Additional attributes of the entity.
    resourceGroupName String
    The name of the resource group. The name is case insensitive.
    workspaceName String
    Name of Azure Machine Learning workspace.
    version String
    Version identifier.
    name string
    Container name.
    properties ModelVersion
    [Required] Additional attributes of the entity.
    resourceGroupName string
    The name of the resource group. The name is case insensitive.
    workspaceName string
    Name of Azure Machine Learning workspace.
    version string
    Version identifier.
    name str
    Container name.
    properties ModelVersionArgs
    [Required] Additional attributes of the entity.
    resource_group_name str
    The name of the resource group. The name is case insensitive.
    workspace_name str
    Name of Azure Machine Learning workspace.
    version str
    Version identifier.
    name String
    Container name.
    properties Property Map
    [Required] Additional attributes of the entity.
    resourceGroupName String
    The name of the resource group. The name is case insensitive.
    workspaceName String
    Name of Azure Machine Learning workspace.
    version String
    Version identifier.

    Outputs

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

    Id string
    The provider-assigned unique ID for this managed resource.
    SystemData Pulumi.AzureNative.MachineLearningServices.Outputs.SystemDataResponse
    System data associated with resource provider
    Type string
    The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
    Id string
    The provider-assigned unique ID for this managed resource.
    SystemData SystemDataResponse
    System data associated with resource provider
    Type string
    The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
    id String
    The provider-assigned unique ID for this managed resource.
    systemData SystemDataResponse
    System data associated with resource provider
    type String
    The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
    id string
    The provider-assigned unique ID for this managed resource.
    systemData SystemDataResponse
    System data associated with resource provider
    type string
    The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
    id str
    The provider-assigned unique ID for this managed resource.
    system_data SystemDataResponse
    System data associated with resource provider
    type str
    The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
    id String
    The provider-assigned unique ID for this managed resource.
    systemData Property Map
    System data associated with resource provider
    type String
    The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"

    Supporting Types

    FlavorData, FlavorDataArgs

    Data Dictionary<string, string>
    Model flavor-specific data.
    Data map[string]string
    Model flavor-specific data.
    data Map<String,String>
    Model flavor-specific data.
    data {[key: string]: string}
    Model flavor-specific data.
    data Mapping[str, str]
    Model flavor-specific data.
    data Map<String>
    Model flavor-specific data.

    FlavorDataResponse, FlavorDataResponseArgs

    Data Dictionary<string, string>
    Model flavor-specific data.
    Data map[string]string
    Model flavor-specific data.
    data Map<String,String>
    Model flavor-specific data.
    data {[key: string]: string}
    Model flavor-specific data.
    data Mapping[str, str]
    Model flavor-specific data.
    data Map<String>
    Model flavor-specific data.

    ModelVersion, ModelVersionArgs

    Path string
    [Required] The path of the file/directory in the datastore.
    DatastoreId string
    ARM resource ID of the datastore where the asset is located.
    Description string
    The asset description text.
    Flavors Dictionary<string, Pulumi.AzureNative.MachineLearningServices.Inputs.FlavorData>
    Mapping of model flavors to their properties.
    IsAnonymous bool
    If the name version are system generated (anonymous registration).
    Properties Dictionary<string, string>
    The asset property dictionary.
    Tags Dictionary<string, string>
    Tag dictionary. Tags can be added, removed, and updated.
    Path string
    [Required] The path of the file/directory in the datastore.
    DatastoreId string
    ARM resource ID of the datastore where the asset is located.
    Description string
    The asset description text.
    Flavors map[string]FlavorData
    Mapping of model flavors to their properties.
    IsAnonymous bool
    If the name version are system generated (anonymous registration).
    Properties map[string]string
    The asset property dictionary.
    Tags map[string]string
    Tag dictionary. Tags can be added, removed, and updated.
    path String
    [Required] The path of the file/directory in the datastore.
    datastoreId String
    ARM resource ID of the datastore where the asset is located.
    description String
    The asset description text.
    flavors Map<String,FlavorData>
    Mapping of model flavors to their properties.
    isAnonymous Boolean
    If the name version are system generated (anonymous registration).
    properties Map<String,String>
    The asset property dictionary.
    tags Map<String,String>
    Tag dictionary. Tags can be added, removed, and updated.
    path string
    [Required] The path of the file/directory in the datastore.
    datastoreId string
    ARM resource ID of the datastore where the asset is located.
    description string
    The asset description text.
    flavors {[key: string]: FlavorData}
    Mapping of model flavors to their properties.
    isAnonymous boolean
    If the name version are system generated (anonymous registration).
    properties {[key: string]: string}
    The asset property dictionary.
    tags {[key: string]: string}
    Tag dictionary. Tags can be added, removed, and updated.
    path str
    [Required] The path of the file/directory in the datastore.
    datastore_id str
    ARM resource ID of the datastore where the asset is located.
    description str
    The asset description text.
    flavors Mapping[str, FlavorData]
    Mapping of model flavors to their properties.
    is_anonymous bool
    If the name version are system generated (anonymous registration).
    properties Mapping[str, str]
    The asset property dictionary.
    tags Mapping[str, str]
    Tag dictionary. Tags can be added, removed, and updated.
    path String
    [Required] The path of the file/directory in the datastore.
    datastoreId String
    ARM resource ID of the datastore where the asset is located.
    description String
    The asset description text.
    flavors Map<Property Map>
    Mapping of model flavors to their properties.
    isAnonymous Boolean
    If the name version are system generated (anonymous registration).
    properties Map<String>
    The asset property dictionary.
    tags Map<String>
    Tag dictionary. Tags can be added, removed, and updated.

    ModelVersionResponse, ModelVersionResponseArgs

    Path string
    [Required] The path of the file/directory in the datastore.
    DatastoreId string
    ARM resource ID of the datastore where the asset is located.
    Description string
    The asset description text.
    Flavors Dictionary<string, Pulumi.AzureNative.MachineLearningServices.Inputs.FlavorDataResponse>
    Mapping of model flavors to their properties.
    IsAnonymous bool
    If the name version are system generated (anonymous registration).
    Properties Dictionary<string, string>
    The asset property dictionary.
    Tags Dictionary<string, string>
    Tag dictionary. Tags can be added, removed, and updated.
    Path string
    [Required] The path of the file/directory in the datastore.
    DatastoreId string
    ARM resource ID of the datastore where the asset is located.
    Description string
    The asset description text.
    Flavors map[string]FlavorDataResponse
    Mapping of model flavors to their properties.
    IsAnonymous bool
    If the name version are system generated (anonymous registration).
    Properties map[string]string
    The asset property dictionary.
    Tags map[string]string
    Tag dictionary. Tags can be added, removed, and updated.
    path String
    [Required] The path of the file/directory in the datastore.
    datastoreId String
    ARM resource ID of the datastore where the asset is located.
    description String
    The asset description text.
    flavors Map<String,FlavorDataResponse>
    Mapping of model flavors to their properties.
    isAnonymous Boolean
    If the name version are system generated (anonymous registration).
    properties Map<String,String>
    The asset property dictionary.
    tags Map<String,String>
    Tag dictionary. Tags can be added, removed, and updated.
    path string
    [Required] The path of the file/directory in the datastore.
    datastoreId string
    ARM resource ID of the datastore where the asset is located.
    description string
    The asset description text.
    flavors {[key: string]: FlavorDataResponse}
    Mapping of model flavors to their properties.
    isAnonymous boolean
    If the name version are system generated (anonymous registration).
    properties {[key: string]: string}
    The asset property dictionary.
    tags {[key: string]: string}
    Tag dictionary. Tags can be added, removed, and updated.
    path str
    [Required] The path of the file/directory in the datastore.
    datastore_id str
    ARM resource ID of the datastore where the asset is located.
    description str
    The asset description text.
    flavors Mapping[str, FlavorDataResponse]
    Mapping of model flavors to their properties.
    is_anonymous bool
    If the name version are system generated (anonymous registration).
    properties Mapping[str, str]
    The asset property dictionary.
    tags Mapping[str, str]
    Tag dictionary. Tags can be added, removed, and updated.
    path String
    [Required] The path of the file/directory in the datastore.
    datastoreId String
    ARM resource ID of the datastore where the asset is located.
    description String
    The asset description text.
    flavors Map<Property Map>
    Mapping of model flavors to their properties.
    isAnonymous Boolean
    If the name version are system generated (anonymous registration).
    properties Map<String>
    The asset property dictionary.
    tags Map<String>
    Tag dictionary. Tags can be added, removed, and updated.

    SystemDataResponse, SystemDataResponseArgs

    CreatedAt string
    The timestamp of resource creation (UTC)
    CreatedBy string
    An identifier for the identity that created the resource
    CreatedByType string
    The type of identity that created the resource
    LastModifiedAt string
    The timestamp of resource last modification (UTC)
    LastModifiedBy string
    An identifier for the identity that last modified the resource
    LastModifiedByType string
    The type of identity that last modified the resource
    CreatedAt string
    The timestamp of resource creation (UTC)
    CreatedBy string
    An identifier for the identity that created the resource
    CreatedByType string
    The type of identity that created the resource
    LastModifiedAt string
    The timestamp of resource last modification (UTC)
    LastModifiedBy string
    An identifier for the identity that last modified the resource
    LastModifiedByType string
    The type of identity that last modified the resource
    createdAt String
    The timestamp of resource creation (UTC)
    createdBy String
    An identifier for the identity that created the resource
    createdByType String
    The type of identity that created the resource
    lastModifiedAt String
    The timestamp of resource last modification (UTC)
    lastModifiedBy String
    An identifier for the identity that last modified the resource
    lastModifiedByType String
    The type of identity that last modified the resource
    createdAt string
    The timestamp of resource creation (UTC)
    createdBy string
    An identifier for the identity that created the resource
    createdByType string
    The type of identity that created the resource
    lastModifiedAt string
    The timestamp of resource last modification (UTC)
    lastModifiedBy string
    An identifier for the identity that last modified the resource
    lastModifiedByType string
    The type of identity that last modified the resource
    created_at str
    The timestamp of resource creation (UTC)
    created_by str
    An identifier for the identity that created the resource
    created_by_type str
    The type of identity that created the resource
    last_modified_at str
    The timestamp of resource last modification (UTC)
    last_modified_by str
    An identifier for the identity that last modified the resource
    last_modified_by_type str
    The type of identity that last modified the resource
    createdAt String
    The timestamp of resource creation (UTC)
    createdBy String
    An identifier for the identity that created the resource
    createdByType String
    The type of identity that created the resource
    lastModifiedAt String
    The timestamp of resource last modification (UTC)
    lastModifiedBy String
    An identifier for the identity that last modified the resource
    lastModifiedByType String
    The type of identity that last modified the resource

    Import

    An existing resource can be imported using its type token, name, and identifier, e.g.

    $ pulumi import azure-native:machinelearningservices:ModelVersion 1 /subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/testrg123/providers/Microsoft.MachineLearningServices/workspaces/workspace123/models/testContainer/versions/1

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

    Package Details

    Repository
    azure-native-v1 pulumi/pulumi-azure-native
    License
    Apache-2.0
    azure-native-v1 logo
    These are the docs for Azure Native v1. We recommenend using the latest version, Azure Native v2.
    Azure Native v1 v1.104.0 published on Thursday, Jul 6, 2023 by Pulumi
    pulumi/pulumi-azure-native