azure-native.machinelearningservices.EnvironmentVersion

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

return await Deployment.RunAsync(() => 
{
    var environmentVersion = new AzureNative.MachineLearningServices.EnvironmentVersion("environmentVersion", new()
    {
        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" },
            },
        },
        Name = "string",
        ResourceGroupName = "test-rg",
        Version = "string",
        WorkspaceName = "my-aml-workspace",
    });

});

package main

import (
	machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices/v2"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := machinelearningservices.NewEnvironmentVersion(ctx, "environmentVersion", &machinelearningservices.EnvironmentVersionArgs{
			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"),
				},
			},
			Name:              pulumi.String("string"),
			ResourceGroupName: pulumi.String("test-rg"),
			Version:           pulumi.String("string"),
			WorkspaceName:     pulumi.String("my-aml-workspace"),
		})
		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.EnvironmentVersion;
import com.pulumi.azurenative.machinelearningservices.EnvironmentVersionArgs;
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 environmentVersion = new EnvironmentVersion("environmentVersion", EnvironmentVersionArgs.builder()
            .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())
            .name("string")
            .resourceGroupName("test-rg")
            .version("string")
            .workspaceName("my-aml-workspace")
            .build());

    }
}

import pulumi
import pulumi_azure_native as azure_native

environment_version = azure_native.machinelearningservices.EnvironmentVersion("environmentVersion",
    environment_version_properties=azure_native.machinelearningservices.EnvironmentVersionArgs(
        build=azure_native.machinelearningservices.BuildContextArgs(
            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=azure_native.machinelearningservices.InferenceContainerPropertiesArgs(
            liveness_route=azure_native.machinelearningservices.RouteArgs(
                path="string",
                port=1,
            ),
            readiness_route=azure_native.machinelearningservices.RouteArgs(
                path="string",
                port=1,
            ),
            scoring_route=azure_native.machinelearningservices.RouteArgs(
                path="string",
                port=1,
            ),
        ),
        is_anonymous=False,
        properties={
            "string": "string",
        },
        tags={
            "string": "string",
        },
    ),
    name="string",
    resource_group_name="test-rg",
    version="string",
    workspace_name="my-aml-workspace")

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

const environmentVersion = new azure_native.machinelearningservices.EnvironmentVersion("environmentVersion", {
    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",
        },
    },
    name: "string",
    resourceGroupName: "test-rg",
    version: "string",
    workspaceName: "my-aml-workspace",
});

resources:
  environmentVersion:
    type: azure-native:machinelearningservices:EnvironmentVersion
    properties:
      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
      name: string
      resourceGroupName: test-rg
      version: string
      workspaceName: my-aml-workspace