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This is the latest version of Azure Native. Use the Azure Native v2 docs if using the v2 version of this package.
Azure Native v3.2.0 published on Monday, Apr 14, 2025 by Pulumi
pulumi/pulumi-azure-native

azure-native.machinelearningservices.RegistryEnvironmentVersion

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This is the latest version of Azure Native. Use the Azure Native v2 docs if using the v2 version of this package.
Azure Native v3.2.0 published on Monday, Apr 14, 2025 by Pulumi
pulumi/pulumi-azure-native

Azure Resource Manager resource envelope.

Uses Azure REST API version 2024-10-01. In version 2.x of the Azure Native provider, it used API version 2023-04-01.

Other available API versions: 2022-10-01-preview, 2022-12-01-preview, 2023-02-01-preview, 2023-04-01, 2023-04-01-preview, 2023-06-01-preview, 2023-08-01-preview, 2023-10-01, 2024-01-01-preview, 2024-04-01, 2024-07-01-preview, 2024-10-01-preview, 2025-01-01-preview. These can be accessed by generating a local SDK package using the CLI command pulumi package add azure-native machinelearningservices [ApiVersion]. See the version guide for details.

Example Usage

CreateOrUpdate Registry Environment Version.

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

return await Deployment.RunAsync(() => 
{
    var registryEnvironmentVersion = new AzureNative.MachineLearningServices.RegistryEnvironmentVersion("registryEnvironmentVersion", new()
    {
        EnvironmentName = "string",
        EnvironmentVersionProperties = new AzureNative.MachineLearningServices.Inputs.EnvironmentVersionArgs
        {
            Build = new AzureNative.MachineLearningServices.Inputs.BuildContextArgs
            {
                ContextUri = "https://storage-account.blob.core.windows.net/azureml/DockerBuildContext/95ddede6b9b8c4e90472db3acd0a8d28/",
                DockerfilePath = "prod/Dockerfile",
            },
            CondaFile = "string",
            Description = "string",
            Image = "docker.io/tensorflow/serving:latest",
            InferenceConfig = new AzureNative.MachineLearningServices.Inputs.InferenceContainerPropertiesArgs
            {
                LivenessRoute = new AzureNative.MachineLearningServices.Inputs.RouteArgs
                {
                    Path = "string",
                    Port = 1,
                },
                ReadinessRoute = new AzureNative.MachineLearningServices.Inputs.RouteArgs
                {
                    Path = "string",
                    Port = 1,
                },
                ScoringRoute = new AzureNative.MachineLearningServices.Inputs.RouteArgs
                {
                    Path = "string",
                    Port = 1,
                },
            },
            IsAnonymous = false,
            Properties = 
            {
                { "string", "string" },
            },
            Tags = 
            {
                { "string", "string" },
            },
        },
        RegistryName = "my-aml-registry",
        ResourceGroupName = "test-rg",
        Version = "string",
    });

});
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package main

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

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := machinelearningservices.NewRegistryEnvironmentVersion(ctx, "registryEnvironmentVersion", &machinelearningservices.RegistryEnvironmentVersionArgs{
			EnvironmentName: pulumi.String("string"),
			EnvironmentVersionProperties: &machinelearningservices.EnvironmentVersionTypeArgs{
				Build: &machinelearningservices.BuildContextArgs{
					ContextUri:     pulumi.String("https://storage-account.blob.core.windows.net/azureml/DockerBuildContext/95ddede6b9b8c4e90472db3acd0a8d28/"),
					DockerfilePath: pulumi.String("prod/Dockerfile"),
				},
				CondaFile:   pulumi.String("string"),
				Description: pulumi.String("string"),
				Image:       pulumi.String("docker.io/tensorflow/serving:latest"),
				InferenceConfig: &machinelearningservices.InferenceContainerPropertiesArgs{
					LivenessRoute: &machinelearningservices.RouteArgs{
						Path: pulumi.String("string"),
						Port: pulumi.Int(1),
					},
					ReadinessRoute: &machinelearningservices.RouteArgs{
						Path: pulumi.String("string"),
						Port: pulumi.Int(1),
					},
					ScoringRoute: &machinelearningservices.RouteArgs{
						Path: pulumi.String("string"),
						Port: pulumi.Int(1),
					},
				},
				IsAnonymous: pulumi.Bool(false),
				Properties: pulumi.StringMap{
					"string": pulumi.String("string"),
				},
				Tags: pulumi.StringMap{
					"string": pulumi.String("string"),
				},
			},
			RegistryName:      pulumi.String("my-aml-registry"),
			ResourceGroupName: pulumi.String("test-rg"),
			Version:           pulumi.String("string"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}
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package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azurenative.machinelearningservices.RegistryEnvironmentVersion;
import com.pulumi.azurenative.machinelearningservices.RegistryEnvironmentVersionArgs;
import com.pulumi.azurenative.machinelearningservices.inputs.EnvironmentVersionArgs;
import com.pulumi.azurenative.machinelearningservices.inputs.BuildContextArgs;
import com.pulumi.azurenative.machinelearningservices.inputs.InferenceContainerPropertiesArgs;
import com.pulumi.azurenative.machinelearningservices.inputs.RouteArgs;
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 registryEnvironmentVersion = new RegistryEnvironmentVersion("registryEnvironmentVersion", RegistryEnvironmentVersionArgs.builder()
            .environmentName("string")
            .environmentVersionProperties(EnvironmentVersionArgs.builder()
                .build(BuildContextArgs.builder()
                    .contextUri("https://storage-account.blob.core.windows.net/azureml/DockerBuildContext/95ddede6b9b8c4e90472db3acd0a8d28/")
                    .dockerfilePath("prod/Dockerfile")
                    .build())
                .condaFile("string")
                .description("string")
                .image("docker.io/tensorflow/serving:latest")
                .inferenceConfig(InferenceContainerPropertiesArgs.builder()
                    .livenessRoute(RouteArgs.builder()
                        .path("string")
                        .port(1)
                        .build())
                    .readinessRoute(RouteArgs.builder()
                        .path("string")
                        .port(1)
                        .build())
                    .scoringRoute(RouteArgs.builder()
                        .path("string")
                        .port(1)
                        .build())
                    .build())
                .isAnonymous(false)
                .properties(Map.of("string", "string"))
                .tags(Map.of("string", "string"))
                .build())
            .registryName("my-aml-registry")
            .resourceGroupName("test-rg")
            .version("string")
            .build());

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

const registryEnvironmentVersion = new azure_native.machinelearningservices.RegistryEnvironmentVersion("registryEnvironmentVersion", {
    environmentName: "string",
    environmentVersionProperties: {
        build: {
            contextUri: "https://storage-account.blob.core.windows.net/azureml/DockerBuildContext/95ddede6b9b8c4e90472db3acd0a8d28/",
            dockerfilePath: "prod/Dockerfile",
        },
        condaFile: "string",
        description: "string",
        image: "docker.io/tensorflow/serving:latest",
        inferenceConfig: {
            livenessRoute: {
                path: "string",
                port: 1,
            },
            readinessRoute: {
                path: "string",
                port: 1,
            },
            scoringRoute: {
                path: "string",
                port: 1,
            },
        },
        isAnonymous: false,
        properties: {
            string: "string",
        },
        tags: {
            string: "string",
        },
    },
    registryName: "my-aml-registry",
    resourceGroupName: "test-rg",
    version: "string",
});
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import pulumi
import pulumi_azure_native as azure_native

registry_environment_version = azure_native.machinelearningservices.RegistryEnvironmentVersion("registryEnvironmentVersion",
    environment_name="string",
    environment_version_properties={
        "build": {
            "context_uri": "https://storage-account.blob.core.windows.net/azureml/DockerBuildContext/95ddede6b9b8c4e90472db3acd0a8d28/",
            "dockerfile_path": "prod/Dockerfile",
        },
        "conda_file": "string",
        "description": "string",
        "image": "docker.io/tensorflow/serving:latest",
        "inference_config": {
            "liveness_route": {
                "path": "string",
                "port": 1,
            },
            "readiness_route": {
                "path": "string",
                "port": 1,
            },
            "scoring_route": {
                "path": "string",
                "port": 1,
            },
        },
        "is_anonymous": False,
        "properties": {
            "string": "string",
        },
        "tags": {
            "string": "string",
        },
    },
    registry_name="my-aml-registry",
    resource_group_name="test-rg",
    version="string")
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resources:
  registryEnvironmentVersion:
    type: azure-native:machinelearningservices:RegistryEnvironmentVersion
    properties:
      environmentName: string
      environmentVersionProperties:
        build:
          contextUri: https://storage-account.blob.core.windows.net/azureml/DockerBuildContext/95ddede6b9b8c4e90472db3acd0a8d28/
          dockerfilePath: prod/Dockerfile
        condaFile: string
        description: string
        image: docker.io/tensorflow/serving:latest
        inferenceConfig:
          livenessRoute:
            path: string
            port: 1
          readinessRoute:
            path: string
            port: 1
          scoringRoute:
            path: string
            port: 1
        isAnonymous: false
        properties:
          string: string
        tags:
          string: string
      registryName: my-aml-registry
      resourceGroupName: test-rg
      version: string
Copy

Create RegistryEnvironmentVersion Resource

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

Constructor syntax

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

@overload
def RegistryEnvironmentVersion(resource_name: str,
                               opts: Optional[ResourceOptions] = None,
                               environment_name: Optional[str] = None,
                               environment_version_properties: Optional[EnvironmentVersionArgs] = None,
                               registry_name: Optional[str] = None,
                               resource_group_name: Optional[str] = None,
                               version: Optional[str] = None)
func NewRegistryEnvironmentVersion(ctx *Context, name string, args RegistryEnvironmentVersionArgs, opts ...ResourceOption) (*RegistryEnvironmentVersion, error)
public RegistryEnvironmentVersion(string name, RegistryEnvironmentVersionArgs args, CustomResourceOptions? opts = null)
public RegistryEnvironmentVersion(String name, RegistryEnvironmentVersionArgs args)
public RegistryEnvironmentVersion(String name, RegistryEnvironmentVersionArgs args, CustomResourceOptions options)

type: azure-native:machinelearningservices:RegistryEnvironmentVersion
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

Parameters

name This property is required. string
The unique name of the resource.
args This property is required. RegistryEnvironmentVersionArgs
The arguments to resource properties.
opts CustomResourceOptions
Bag of options to control resource's behavior.
resource_name This property is required. str
The unique name of the resource.
args This property is required. RegistryEnvironmentVersionArgs
The arguments to resource properties.
opts ResourceOptions
Bag of options to control resource's behavior.
ctx Context
Context object for the current deployment.
name This property is required. string
The unique name of the resource.
args This property is required. RegistryEnvironmentVersionArgs
The arguments to resource properties.
opts ResourceOption
Bag of options to control resource's behavior.
name This property is required. string
The unique name of the resource.
args This property is required. RegistryEnvironmentVersionArgs
The arguments to resource properties.
opts CustomResourceOptions
Bag of options to control resource's behavior.
name This property is required. String
The unique name of the resource.
args This property is required. RegistryEnvironmentVersionArgs
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 registryEnvironmentVersionResource = new AzureNative.MachineLearningServices.RegistryEnvironmentVersion("registryEnvironmentVersionResource", new()
{
    EnvironmentName = "string",
    EnvironmentVersionProperties = new AzureNative.MachineLearningServices.Inputs.EnvironmentVersionArgs
    {
        AutoRebuild = "string",
        Build = new AzureNative.MachineLearningServices.Inputs.BuildContextArgs
        {
            ContextUri = "string",
            DockerfilePath = "string",
        },
        CondaFile = "string",
        Description = "string",
        Image = "string",
        InferenceConfig = new AzureNative.MachineLearningServices.Inputs.InferenceContainerPropertiesArgs
        {
            LivenessRoute = new AzureNative.MachineLearningServices.Inputs.RouteArgs
            {
                Path = "string",
                Port = 0,
            },
            ReadinessRoute = new AzureNative.MachineLearningServices.Inputs.RouteArgs
            {
                Path = "string",
                Port = 0,
            },
            ScoringRoute = new AzureNative.MachineLearningServices.Inputs.RouteArgs
            {
                Path = "string",
                Port = 0,
            },
            StartupRoute = new AzureNative.MachineLearningServices.Inputs.RouteArgs
            {
                Path = "string",
                Port = 0,
            },
        },
        IsAnonymous = false,
        IsArchived = false,
        OsType = "string",
        Properties = 
        {
            { "string", "string" },
        },
        Stage = "string",
        Tags = 
        {
            { "string", "string" },
        },
    },
    RegistryName = "string",
    ResourceGroupName = "string",
    Version = "string",
});
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example, err := machinelearningservices.NewRegistryEnvironmentVersion(ctx, "registryEnvironmentVersionResource", &machinelearningservices.RegistryEnvironmentVersionArgs{
	EnvironmentName: pulumi.String("string"),
	EnvironmentVersionProperties: &machinelearningservices.EnvironmentVersionTypeArgs{
		AutoRebuild: pulumi.String("string"),
		Build: &machinelearningservices.BuildContextArgs{
			ContextUri:     pulumi.String("string"),
			DockerfilePath: pulumi.String("string"),
		},
		CondaFile:   pulumi.String("string"),
		Description: pulumi.String("string"),
		Image:       pulumi.String("string"),
		InferenceConfig: &machinelearningservices.InferenceContainerPropertiesArgs{
			LivenessRoute: &machinelearningservices.RouteArgs{
				Path: pulumi.String("string"),
				Port: pulumi.Int(0),
			},
			ReadinessRoute: &machinelearningservices.RouteArgs{
				Path: pulumi.String("string"),
				Port: pulumi.Int(0),
			},
			ScoringRoute: &machinelearningservices.RouteArgs{
				Path: pulumi.String("string"),
				Port: pulumi.Int(0),
			},
			StartupRoute: &machinelearningservices.RouteArgs{
				Path: pulumi.String("string"),
				Port: pulumi.Int(0),
			},
		},
		IsAnonymous: pulumi.Bool(false),
		IsArchived:  pulumi.Bool(false),
		OsType:      pulumi.String("string"),
		Properties: pulumi.StringMap{
			"string": pulumi.String("string"),
		},
		Stage: pulumi.String("string"),
		Tags: pulumi.StringMap{
			"string": pulumi.String("string"),
		},
	},
	RegistryName:      pulumi.String("string"),
	ResourceGroupName: pulumi.String("string"),
	Version:           pulumi.String("string"),
})
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var registryEnvironmentVersionResource = new RegistryEnvironmentVersion("registryEnvironmentVersionResource", RegistryEnvironmentVersionArgs.builder()
    .environmentName("string")
    .environmentVersionProperties(EnvironmentVersionArgs.builder()
        .autoRebuild("string")
        .build(BuildContextArgs.builder()
            .contextUri("string")
            .dockerfilePath("string")
            .build())
        .condaFile("string")
        .description("string")
        .image("string")
        .inferenceConfig(InferenceContainerPropertiesArgs.builder()
            .livenessRoute(RouteArgs.builder()
                .path("string")
                .port(0)
                .build())
            .readinessRoute(RouteArgs.builder()
                .path("string")
                .port(0)
                .build())
            .scoringRoute(RouteArgs.builder()
                .path("string")
                .port(0)
                .build())
            .startupRoute(RouteArgs.builder()
                .path("string")
                .port(0)
                .build())
            .build())
        .isAnonymous(false)
        .isArchived(false)
        .osType("string")
        .properties(Map.of("string", "string"))
        .stage("string")
        .tags(Map.of("string", "string"))
        .build())
    .registryName("string")
    .resourceGroupName("string")
    .version("string")
    .build());
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registry_environment_version_resource = azure_native.machinelearningservices.RegistryEnvironmentVersion("registryEnvironmentVersionResource",
    environment_name="string",
    environment_version_properties={
        "auto_rebuild": "string",
        "build": {
            "context_uri": "string",
            "dockerfile_path": "string",
        },
        "conda_file": "string",
        "description": "string",
        "image": "string",
        "inference_config": {
            "liveness_route": {
                "path": "string",
                "port": 0,
            },
            "readiness_route": {
                "path": "string",
                "port": 0,
            },
            "scoring_route": {
                "path": "string",
                "port": 0,
            },
            "startup_route": {
                "path": "string",
                "port": 0,
            },
        },
        "is_anonymous": False,
        "is_archived": False,
        "os_type": "string",
        "properties": {
            "string": "string",
        },
        "stage": "string",
        "tags": {
            "string": "string",
        },
    },
    registry_name="string",
    resource_group_name="string",
    version="string")
Copy
const registryEnvironmentVersionResource = new azure_native.machinelearningservices.RegistryEnvironmentVersion("registryEnvironmentVersionResource", {
    environmentName: "string",
    environmentVersionProperties: {
        autoRebuild: "string",
        build: {
            contextUri: "string",
            dockerfilePath: "string",
        },
        condaFile: "string",
        description: "string",
        image: "string",
        inferenceConfig: {
            livenessRoute: {
                path: "string",
                port: 0,
            },
            readinessRoute: {
                path: "string",
                port: 0,
            },
            scoringRoute: {
                path: "string",
                port: 0,
            },
            startupRoute: {
                path: "string",
                port: 0,
            },
        },
        isAnonymous: false,
        isArchived: false,
        osType: "string",
        properties: {
            string: "string",
        },
        stage: "string",
        tags: {
            string: "string",
        },
    },
    registryName: "string",
    resourceGroupName: "string",
    version: "string",
});
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type: azure-native:machinelearningservices:RegistryEnvironmentVersion
properties:
    environmentName: string
    environmentVersionProperties:
        autoRebuild: string
        build:
            contextUri: string
            dockerfilePath: string
        condaFile: string
        description: string
        image: string
        inferenceConfig:
            livenessRoute:
                path: string
                port: 0
            readinessRoute:
                path: string
                port: 0
            scoringRoute:
                path: string
                port: 0
            startupRoute:
                path: string
                port: 0
        isAnonymous: false
        isArchived: false
        osType: string
        properties:
            string: string
        stage: string
        tags:
            string: string
    registryName: string
    resourceGroupName: string
    version: string
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RegistryEnvironmentVersion 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 RegistryEnvironmentVersion resource accepts the following input properties:

EnvironmentName
This property is required.
Changes to this property will trigger replacement.
string
Container name.
EnvironmentVersionProperties This property is required. Pulumi.AzureNative.MachineLearningServices.Inputs.EnvironmentVersion
[Required] Additional attributes of the entity.
RegistryName
This property is required.
Changes to this property will trigger replacement.
string
Name of Azure Machine Learning registry. This is case-insensitive
ResourceGroupName
This property is required.
Changes to this property will trigger replacement.
string
The name of the resource group. The name is case insensitive.
Version Changes to this property will trigger replacement. string
Version identifier.
EnvironmentName
This property is required.
Changes to this property will trigger replacement.
string
Container name.
EnvironmentVersionProperties This property is required. EnvironmentVersionTypeArgs
[Required] Additional attributes of the entity.
RegistryName
This property is required.
Changes to this property will trigger replacement.
string
Name of Azure Machine Learning registry. This is case-insensitive
ResourceGroupName
This property is required.
Changes to this property will trigger replacement.
string
The name of the resource group. The name is case insensitive.
Version Changes to this property will trigger replacement. string
Version identifier.
environmentName
This property is required.
Changes to this property will trigger replacement.
String
Container name.
environmentVersionProperties This property is required. EnvironmentVersion
[Required] Additional attributes of the entity.
registryName
This property is required.
Changes to this property will trigger replacement.
String
Name of Azure Machine Learning registry. This is case-insensitive
resourceGroupName
This property is required.
Changes to this property will trigger replacement.
String
The name of the resource group. The name is case insensitive.
version Changes to this property will trigger replacement. String
Version identifier.
environmentName
This property is required.
Changes to this property will trigger replacement.
string
Container name.
environmentVersionProperties This property is required. EnvironmentVersion
[Required] Additional attributes of the entity.
registryName
This property is required.
Changes to this property will trigger replacement.
string
Name of Azure Machine Learning registry. This is case-insensitive
resourceGroupName
This property is required.
Changes to this property will trigger replacement.
string
The name of the resource group. The name is case insensitive.
version Changes to this property will trigger replacement. string
Version identifier.
environment_name
This property is required.
Changes to this property will trigger replacement.
str
Container name.
environment_version_properties This property is required. EnvironmentVersionArgs
[Required] Additional attributes of the entity.
registry_name
This property is required.
Changes to this property will trigger replacement.
str
Name of Azure Machine Learning registry. This is case-insensitive
resource_group_name
This property is required.
Changes to this property will trigger replacement.
str
The name of the resource group. The name is case insensitive.
version Changes to this property will trigger replacement. str
Version identifier.
environmentName
This property is required.
Changes to this property will trigger replacement.
String
Container name.
environmentVersionProperties This property is required. Property Map
[Required] Additional attributes of the entity.
registryName
This property is required.
Changes to this property will trigger replacement.
String
Name of Azure Machine Learning registry. This is case-insensitive
resourceGroupName
This property is required.
Changes to this property will trigger replacement.
String
The name of the resource group. The name is case insensitive.
version Changes to this property will trigger replacement. String
Version identifier.

Outputs

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

AzureApiVersion string
The Azure API version of the resource.
Id string
The provider-assigned unique ID for this managed resource.
Name string
The name of the resource
SystemData Pulumi.AzureNative.MachineLearningServices.Outputs.SystemDataResponse
Azure Resource Manager metadata containing createdBy and modifiedBy information.
Type string
The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
AzureApiVersion string
The Azure API version of the resource.
Id string
The provider-assigned unique ID for this managed resource.
Name string
The name of the resource
SystemData SystemDataResponse
Azure Resource Manager metadata containing createdBy and modifiedBy information.
Type string
The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
azureApiVersion String
The Azure API version of the resource.
id String
The provider-assigned unique ID for this managed resource.
name String
The name of the resource
systemData SystemDataResponse
Azure Resource Manager metadata containing createdBy and modifiedBy information.
type String
The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
azureApiVersion string
The Azure API version of the resource.
id string
The provider-assigned unique ID for this managed resource.
name string
The name of the resource
systemData SystemDataResponse
Azure Resource Manager metadata containing createdBy and modifiedBy information.
type string
The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
azure_api_version str
The Azure API version of the resource.
id str
The provider-assigned unique ID for this managed resource.
name str
The name of the resource
system_data SystemDataResponse
Azure Resource Manager metadata containing createdBy and modifiedBy information.
type str
The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
azureApiVersion String
The Azure API version of the resource.
id String
The provider-assigned unique ID for this managed resource.
name String
The name of the resource
systemData Property Map
Azure Resource Manager metadata containing createdBy and modifiedBy information.
type String
The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"

Supporting Types

AutoRebuildSetting
, AutoRebuildSettingArgs

Disabled
Disabled
OnBaseImageUpdate
OnBaseImageUpdate
AutoRebuildSettingDisabled
Disabled
AutoRebuildSettingOnBaseImageUpdate
OnBaseImageUpdate
Disabled
Disabled
OnBaseImageUpdate
OnBaseImageUpdate
Disabled
Disabled
OnBaseImageUpdate
OnBaseImageUpdate
DISABLED
Disabled
ON_BASE_IMAGE_UPDATE
OnBaseImageUpdate
"Disabled"
Disabled
"OnBaseImageUpdate"
OnBaseImageUpdate

BuildContext
, BuildContextArgs

ContextUri This property is required. string
[Required] URI of the Docker build context used to build the image. Supports blob URIs on environment creation and may return blob or Git URIs.
DockerfilePath string
Path to the Dockerfile in the build context.
ContextUri This property is required. string
[Required] URI of the Docker build context used to build the image. Supports blob URIs on environment creation and may return blob or Git URIs.
DockerfilePath string
Path to the Dockerfile in the build context.
contextUri This property is required. String
[Required] URI of the Docker build context used to build the image. Supports blob URIs on environment creation and may return blob or Git URIs.
dockerfilePath String
Path to the Dockerfile in the build context.
contextUri This property is required. string
[Required] URI of the Docker build context used to build the image. Supports blob URIs on environment creation and may return blob or Git URIs.
dockerfilePath string
Path to the Dockerfile in the build context.
context_uri This property is required. str
[Required] URI of the Docker build context used to build the image. Supports blob URIs on environment creation and may return blob or Git URIs.
dockerfile_path str
Path to the Dockerfile in the build context.
contextUri This property is required. String
[Required] URI of the Docker build context used to build the image. Supports blob URIs on environment creation and may return blob or Git URIs.
dockerfilePath String
Path to the Dockerfile in the build context.

BuildContextResponse
, BuildContextResponseArgs

ContextUri This property is required. string
[Required] URI of the Docker build context used to build the image. Supports blob URIs on environment creation and may return blob or Git URIs.
DockerfilePath string
Path to the Dockerfile in the build context.
ContextUri This property is required. string
[Required] URI of the Docker build context used to build the image. Supports blob URIs on environment creation and may return blob or Git URIs.
DockerfilePath string
Path to the Dockerfile in the build context.
contextUri This property is required. String
[Required] URI of the Docker build context used to build the image. Supports blob URIs on environment creation and may return blob or Git URIs.
dockerfilePath String
Path to the Dockerfile in the build context.
contextUri This property is required. string
[Required] URI of the Docker build context used to build the image. Supports blob URIs on environment creation and may return blob or Git URIs.
dockerfilePath string
Path to the Dockerfile in the build context.
context_uri This property is required. str
[Required] URI of the Docker build context used to build the image. Supports blob URIs on environment creation and may return blob or Git URIs.
dockerfile_path str
Path to the Dockerfile in the build context.
contextUri This property is required. String
[Required] URI of the Docker build context used to build the image. Supports blob URIs on environment creation and may return blob or Git URIs.
dockerfilePath String
Path to the Dockerfile in the build context.

EnvironmentVersion
, EnvironmentVersionArgs

AutoRebuild string | Pulumi.AzureNative.MachineLearningServices.AutoRebuildSetting
Defines if image needs to be rebuilt based on base image changes.
Build Pulumi.AzureNative.MachineLearningServices.Inputs.BuildContext
Configuration settings for Docker build context.
CondaFile string
Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
Description string
The asset description text.
Image string
Name of the image that will be used for the environment.
InferenceConfig Pulumi.AzureNative.MachineLearningServices.Inputs.InferenceContainerProperties
Defines configuration specific to inference.
IsAnonymous bool
If the name version are system generated (anonymous registration).
IsArchived bool
Is the asset archived?
OsType string | Pulumi.AzureNative.MachineLearningServices.OperatingSystemType
The OS type of the environment.
Properties Dictionary<string, string>
The asset property dictionary.
Stage string
Stage in the environment lifecycle assigned to this environment
Tags Dictionary<string, string>
Tag dictionary. Tags can be added, removed, and updated.
AutoRebuild string | AutoRebuildSetting
Defines if image needs to be rebuilt based on base image changes.
Build BuildContext
Configuration settings for Docker build context.
CondaFile string
Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
Description string
The asset description text.
Image string
Name of the image that will be used for the environment.
InferenceConfig InferenceContainerProperties
Defines configuration specific to inference.
IsAnonymous bool
If the name version are system generated (anonymous registration).
IsArchived bool
Is the asset archived?
OsType string | OperatingSystemType
The OS type of the environment.
Properties map[string]string
The asset property dictionary.
Stage string
Stage in the environment lifecycle assigned to this environment
Tags map[string]string
Tag dictionary. Tags can be added, removed, and updated.
autoRebuild String | AutoRebuildSetting
Defines if image needs to be rebuilt based on base image changes.
build BuildContext
Configuration settings for Docker build context.
condaFile String
Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
description String
The asset description text.
image String
Name of the image that will be used for the environment.
inferenceConfig InferenceContainerProperties
Defines configuration specific to inference.
isAnonymous Boolean
If the name version are system generated (anonymous registration).
isArchived Boolean
Is the asset archived?
osType String | OperatingSystemType
The OS type of the environment.
properties Map<String,String>
The asset property dictionary.
stage String
Stage in the environment lifecycle assigned to this environment
tags Map<String,String>
Tag dictionary. Tags can be added, removed, and updated.
autoRebuild string | AutoRebuildSetting
Defines if image needs to be rebuilt based on base image changes.
build BuildContext
Configuration settings for Docker build context.
condaFile string
Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
description string
The asset description text.
image string
Name of the image that will be used for the environment.
inferenceConfig InferenceContainerProperties
Defines configuration specific to inference.
isAnonymous boolean
If the name version are system generated (anonymous registration).
isArchived boolean
Is the asset archived?
osType string | OperatingSystemType
The OS type of the environment.
properties {[key: string]: string}
The asset property dictionary.
stage string
Stage in the environment lifecycle assigned to this environment
tags {[key: string]: string}
Tag dictionary. Tags can be added, removed, and updated.
auto_rebuild str | AutoRebuildSetting
Defines if image needs to be rebuilt based on base image changes.
build BuildContext
Configuration settings for Docker build context.
conda_file str
Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
description str
The asset description text.
image str
Name of the image that will be used for the environment.
inference_config InferenceContainerProperties
Defines configuration specific to inference.
is_anonymous bool
If the name version are system generated (anonymous registration).
is_archived bool
Is the asset archived?
os_type str | OperatingSystemType
The OS type of the environment.
properties Mapping[str, str]
The asset property dictionary.
stage str
Stage in the environment lifecycle assigned to this environment
tags Mapping[str, str]
Tag dictionary. Tags can be added, removed, and updated.
autoRebuild String | "Disabled" | "OnBaseImageUpdate"
Defines if image needs to be rebuilt based on base image changes.
build Property Map
Configuration settings for Docker build context.
condaFile String
Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
description String
The asset description text.
image String
Name of the image that will be used for the environment.
inferenceConfig Property Map
Defines configuration specific to inference.
isAnonymous Boolean
If the name version are system generated (anonymous registration).
isArchived Boolean
Is the asset archived?
osType String | "Linux" | "Windows"
The OS type of the environment.
properties Map<String>
The asset property dictionary.
stage String
Stage in the environment lifecycle assigned to this environment
tags Map<String>
Tag dictionary. Tags can be added, removed, and updated.

EnvironmentVersionResponse
, EnvironmentVersionResponseArgs

EnvironmentType This property is required. string
Environment type is either user managed or curated by the Azure ML service
ProvisioningState This property is required. string
Provisioning state for the environment version.
AutoRebuild string
Defines if image needs to be rebuilt based on base image changes.
Build Pulumi.AzureNative.MachineLearningServices.Inputs.BuildContextResponse
Configuration settings for Docker build context.
CondaFile string
Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
Description string
The asset description text.
Image string
Name of the image that will be used for the environment.
InferenceConfig Pulumi.AzureNative.MachineLearningServices.Inputs.InferenceContainerPropertiesResponse
Defines configuration specific to inference.
IsAnonymous bool
If the name version are system generated (anonymous registration).
IsArchived bool
Is the asset archived?
OsType string
The OS type of the environment.
Properties Dictionary<string, string>
The asset property dictionary.
Stage string
Stage in the environment lifecycle assigned to this environment
Tags Dictionary<string, string>
Tag dictionary. Tags can be added, removed, and updated.
EnvironmentType This property is required. string
Environment type is either user managed or curated by the Azure ML service
ProvisioningState This property is required. string
Provisioning state for the environment version.
AutoRebuild string
Defines if image needs to be rebuilt based on base image changes.
Build BuildContextResponse
Configuration settings for Docker build context.
CondaFile string
Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
Description string
The asset description text.
Image string
Name of the image that will be used for the environment.
InferenceConfig InferenceContainerPropertiesResponse
Defines configuration specific to inference.
IsAnonymous bool
If the name version are system generated (anonymous registration).
IsArchived bool
Is the asset archived?
OsType string
The OS type of the environment.
Properties map[string]string
The asset property dictionary.
Stage string
Stage in the environment lifecycle assigned to this environment
Tags map[string]string
Tag dictionary. Tags can be added, removed, and updated.
environmentType This property is required. String
Environment type is either user managed or curated by the Azure ML service
provisioningState This property is required. String
Provisioning state for the environment version.
autoRebuild String
Defines if image needs to be rebuilt based on base image changes.
build BuildContextResponse
Configuration settings for Docker build context.
condaFile String
Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
description String
The asset description text.
image String
Name of the image that will be used for the environment.
inferenceConfig InferenceContainerPropertiesResponse
Defines configuration specific to inference.
isAnonymous Boolean
If the name version are system generated (anonymous registration).
isArchived Boolean
Is the asset archived?
osType String
The OS type of the environment.
properties Map<String,String>
The asset property dictionary.
stage String
Stage in the environment lifecycle assigned to this environment
tags Map<String,String>
Tag dictionary. Tags can be added, removed, and updated.
environmentType This property is required. string
Environment type is either user managed or curated by the Azure ML service
provisioningState This property is required. string
Provisioning state for the environment version.
autoRebuild string
Defines if image needs to be rebuilt based on base image changes.
build BuildContextResponse
Configuration settings for Docker build context.
condaFile string
Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
description string
The asset description text.
image string
Name of the image that will be used for the environment.
inferenceConfig InferenceContainerPropertiesResponse
Defines configuration specific to inference.
isAnonymous boolean
If the name version are system generated (anonymous registration).
isArchived boolean
Is the asset archived?
osType string
The OS type of the environment.
properties {[key: string]: string}
The asset property dictionary.
stage string
Stage in the environment lifecycle assigned to this environment
tags {[key: string]: string}
Tag dictionary. Tags can be added, removed, and updated.
environment_type This property is required. str
Environment type is either user managed or curated by the Azure ML service
provisioning_state This property is required. str
Provisioning state for the environment version.
auto_rebuild str
Defines if image needs to be rebuilt based on base image changes.
build BuildContextResponse
Configuration settings for Docker build context.
conda_file str
Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
description str
The asset description text.
image str
Name of the image that will be used for the environment.
inference_config InferenceContainerPropertiesResponse
Defines configuration specific to inference.
is_anonymous bool
If the name version are system generated (anonymous registration).
is_archived bool
Is the asset archived?
os_type str
The OS type of the environment.
properties Mapping[str, str]
The asset property dictionary.
stage str
Stage in the environment lifecycle assigned to this environment
tags Mapping[str, str]
Tag dictionary. Tags can be added, removed, and updated.
environmentType This property is required. String
Environment type is either user managed or curated by the Azure ML service
provisioningState This property is required. String
Provisioning state for the environment version.
autoRebuild String
Defines if image needs to be rebuilt based on base image changes.
build Property Map
Configuration settings for Docker build context.
condaFile String
Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
description String
The asset description text.
image String
Name of the image that will be used for the environment.
inferenceConfig Property Map
Defines configuration specific to inference.
isAnonymous Boolean
If the name version are system generated (anonymous registration).
isArchived Boolean
Is the asset archived?
osType String
The OS type of the environment.
properties Map<String>
The asset property dictionary.
stage String
Stage in the environment lifecycle assigned to this environment
tags Map<String>
Tag dictionary. Tags can be added, removed, and updated.

InferenceContainerProperties
, InferenceContainerPropertiesArgs

LivenessRoute Pulumi.AzureNative.MachineLearningServices.Inputs.Route
The route to check the liveness of the inference server container.
ReadinessRoute Pulumi.AzureNative.MachineLearningServices.Inputs.Route
The route to check the readiness of the inference server container.
ScoringRoute Pulumi.AzureNative.MachineLearningServices.Inputs.Route
The port to send the scoring requests to, within the inference server container.
StartupRoute Pulumi.AzureNative.MachineLearningServices.Inputs.Route
The route to check the startup of the application in the container.
LivenessRoute Route
The route to check the liveness of the inference server container.
ReadinessRoute Route
The route to check the readiness of the inference server container.
ScoringRoute Route
The port to send the scoring requests to, within the inference server container.
StartupRoute Route
The route to check the startup of the application in the container.
livenessRoute Route
The route to check the liveness of the inference server container.
readinessRoute Route
The route to check the readiness of the inference server container.
scoringRoute Route
The port to send the scoring requests to, within the inference server container.
startupRoute Route
The route to check the startup of the application in the container.
livenessRoute Route
The route to check the liveness of the inference server container.
readinessRoute Route
The route to check the readiness of the inference server container.
scoringRoute Route
The port to send the scoring requests to, within the inference server container.
startupRoute Route
The route to check the startup of the application in the container.
liveness_route Route
The route to check the liveness of the inference server container.
readiness_route Route
The route to check the readiness of the inference server container.
scoring_route Route
The port to send the scoring requests to, within the inference server container.
startup_route Route
The route to check the startup of the application in the container.
livenessRoute Property Map
The route to check the liveness of the inference server container.
readinessRoute Property Map
The route to check the readiness of the inference server container.
scoringRoute Property Map
The port to send the scoring requests to, within the inference server container.
startupRoute Property Map
The route to check the startup of the application in the container.

InferenceContainerPropertiesResponse
, InferenceContainerPropertiesResponseArgs

LivenessRoute Pulumi.AzureNative.MachineLearningServices.Inputs.RouteResponse
The route to check the liveness of the inference server container.
ReadinessRoute Pulumi.AzureNative.MachineLearningServices.Inputs.RouteResponse
The route to check the readiness of the inference server container.
ScoringRoute Pulumi.AzureNative.MachineLearningServices.Inputs.RouteResponse
The port to send the scoring requests to, within the inference server container.
StartupRoute Pulumi.AzureNative.MachineLearningServices.Inputs.RouteResponse
The route to check the startup of the application in the container.
LivenessRoute RouteResponse
The route to check the liveness of the inference server container.
ReadinessRoute RouteResponse
The route to check the readiness of the inference server container.
ScoringRoute RouteResponse
The port to send the scoring requests to, within the inference server container.
StartupRoute RouteResponse
The route to check the startup of the application in the container.
livenessRoute RouteResponse
The route to check the liveness of the inference server container.
readinessRoute RouteResponse
The route to check the readiness of the inference server container.
scoringRoute RouteResponse
The port to send the scoring requests to, within the inference server container.
startupRoute RouteResponse
The route to check the startup of the application in the container.
livenessRoute RouteResponse
The route to check the liveness of the inference server container.
readinessRoute RouteResponse
The route to check the readiness of the inference server container.
scoringRoute RouteResponse
The port to send the scoring requests to, within the inference server container.
startupRoute RouteResponse
The route to check the startup of the application in the container.
liveness_route RouteResponse
The route to check the liveness of the inference server container.
readiness_route RouteResponse
The route to check the readiness of the inference server container.
scoring_route RouteResponse
The port to send the scoring requests to, within the inference server container.
startup_route RouteResponse
The route to check the startup of the application in the container.
livenessRoute Property Map
The route to check the liveness of the inference server container.
readinessRoute Property Map
The route to check the readiness of the inference server container.
scoringRoute Property Map
The port to send the scoring requests to, within the inference server container.
startupRoute Property Map
The route to check the startup of the application in the container.

OperatingSystemType
, OperatingSystemTypeArgs

Linux
Linux
Windows
Windows
OperatingSystemTypeLinux
Linux
OperatingSystemTypeWindows
Windows
Linux
Linux
Windows
Windows
Linux
Linux
Windows
Windows
LINUX
Linux
WINDOWS
Windows
"Linux"
Linux
"Windows"
Windows

Route
, RouteArgs

Path This property is required. string
[Required] The path for the route.
Port This property is required. int
[Required] The port for the route.
Path This property is required. string
[Required] The path for the route.
Port This property is required. int
[Required] The port for the route.
path This property is required. String
[Required] The path for the route.
port This property is required. Integer
[Required] The port for the route.
path This property is required. string
[Required] The path for the route.
port This property is required. number
[Required] The port for the route.
path This property is required. str
[Required] The path for the route.
port This property is required. int
[Required] The port for the route.
path This property is required. String
[Required] The path for the route.
port This property is required. Number
[Required] The port for the route.

RouteResponse
, RouteResponseArgs

Path This property is required. string
[Required] The path for the route.
Port This property is required. int
[Required] The port for the route.
Path This property is required. string
[Required] The path for the route.
Port This property is required. int
[Required] The port for the route.
path This property is required. String
[Required] The path for the route.
port This property is required. Integer
[Required] The port for the route.
path This property is required. string
[Required] The path for the route.
port This property is required. number
[Required] The port for the route.
path This property is required. str
[Required] The path for the route.
port This property is required. int
[Required] The port for the route.
path This property is required. String
[Required] The path for the route.
port This property is required. Number
[Required] The port for the route.

SystemDataResponse
, SystemDataResponseArgs

CreatedAt string
The timestamp of resource creation (UTC).
CreatedBy string
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
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
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
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
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
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
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
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
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
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
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
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:RegistryEnvironmentVersion string /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/registries/{registryName}/environments/{environmentName}/versions/{version}
Copy

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

Package Details

Repository
Azure Native pulumi/pulumi-azure-native
License
Apache-2.0
This is the latest version of Azure Native. Use the Azure Native v2 docs if using the v2 version of this package.
Azure Native v3.2.0 published on Monday, Apr 14, 2025 by Pulumi
pulumi/pulumi-azure-native