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  5. OnlineDeployment
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.OnlineDeployment

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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

    API Version: 2021-03-01-preview.

    Example Usage

    CreateOrUpdate K8S Online Deployment.

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

return await Deployment.RunAsync(() => 
{
    var onlineDeployment = new AzureNative.MachineLearningServices.OnlineDeployment("onlineDeployment", new()
    {
        DeploymentName = "testDeployment",
        EndpointName = "testEndpoint",
        Identity = new AzureNative.MachineLearningServices.Inputs.ResourceIdentityArgs
        {
            Type = "UserAssigned",
            UserAssignedIdentities = 
            {
                { "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.ManagedIdentity/userAssignedIdentities/myuseridentity", new AzureNative.MachineLearningServices.Inputs.UserAssignedIdentityMetaArgs
                {
                    ClientId = "string",
                    PrincipalId = "string",
                } },
            },
        },
        Kind = "string",
        Location = "string",
        Properties = new AzureNative.MachineLearningServices.Inputs.K8sOnlineDeploymentArgs
        {
            AppInsightsEnabled = true,
            CodeConfiguration = new AzureNative.MachineLearningServices.Inputs.CodeConfigurationArgs
            {
                CodeId = "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/codes/code123/versions/1",
                ScoringScript = "string",
            },
            ContainerResourceRequirements = new AzureNative.MachineLearningServices.Inputs.ContainerResourceRequirementsArgs
            {
                Cpu = 4,
                CpuLimit = 4,
                MemoryInGB = 64,
                MemoryInGBLimit = 64,
            },
            Description = "string",
            EndpointComputeType = "K8S",
            EnvironmentId = "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/environments/env123",
            LivenessProbe = new AzureNative.MachineLearningServices.Inputs.ProbeSettingsArgs
            {
                FailureThreshold = 50,
                InitialDelay = "PT1M",
                Period = "PT1M",
                SuccessThreshold = 50,
                Timeout = "PT1M",
            },
            Model = new AzureNative.MachineLearningServices.Inputs.IdAssetReferenceArgs
            {
                AssetId = "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/models/model123",
                ReferenceType = "Id",
            },
            Properties = 
            {
                { "additionalProp1", "string" },
                { "additionalProp2", "string" },
                { "additionalProp3", "string" },
            },
            RequestSettings = new AzureNative.MachineLearningServices.Inputs.OnlineRequestSettingsArgs
            {
                MaxConcurrentRequestsPerInstance = 5,
                MaxQueueWait = "PT1M",
                RequestTimeout = "PT1M",
            },
            ScaleSettings = new AzureNative.MachineLearningServices.Inputs.AutoScaleSettingsArgs
            {
                PollingInterval = "PT1M",
                ScaleType = "Auto",
                TargetUtilizationPercentage = 50,
            },
        },
        ResourceGroupName = "testrg123",
        Tags = 
        {
            { "additionalProp1", "string" },
            { "additionalProp2", "string" },
            { "additionalProp3", "string" },
        },
        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.NewOnlineDeployment(ctx, "onlineDeployment", &machinelearningservices.OnlineDeploymentArgs{
			DeploymentName: pulumi.String("testDeployment"),
			EndpointName:   pulumi.String("testEndpoint"),
			Identity: machinelearningservices.ResourceIdentityResponse{
				Type: pulumi.String("UserAssigned"),
				UserAssignedIdentities: machinelearningservices.UserAssignedIdentityMetaMap{
					"/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.ManagedIdentity/userAssignedIdentities/myuseridentity": &machinelearningservices.UserAssignedIdentityMetaArgs{
						ClientId:    pulumi.String("string"),
						PrincipalId: pulumi.String("string"),
					},
				},
			},
			Kind:     pulumi.String("string"),
			Location: pulumi.String("string"),
			Properties: machinelearningservices.K8sOnlineDeployment{
				AppInsightsEnabled: true,
				CodeConfiguration: machinelearningservices.CodeConfiguration{
					CodeId:        "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/codes/code123/versions/1",
					ScoringScript: "string",
				},
				ContainerResourceRequirements: machinelearningservices.ContainerResourceRequirements{
					Cpu:             4,
					CpuLimit:        4,
					MemoryInGB:      64,
					MemoryInGBLimit: 64,
				},
				Description:         "string",
				EndpointComputeType: "K8S",
				EnvironmentId:       "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/environments/env123",
				LivenessProbe: machinelearningservices.ProbeSettings{
					FailureThreshold: 50,
					InitialDelay:     "PT1M",
					Period:           "PT1M",
					SuccessThreshold: 50,
					Timeout:          "PT1M",
				},
				Model: machinelearningservices.IdAssetReference{
					AssetId:       "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/models/model123",
					ReferenceType: "Id",
				},
				Properties: map[string]interface{}{
					"additionalProp1": "string",
					"additionalProp2": "string",
					"additionalProp3": "string",
				},
				RequestSettings: machinelearningservices.OnlineRequestSettings{
					MaxConcurrentRequestsPerInstance: 5,
					MaxQueueWait:                     "PT1M",
					RequestTimeout:                   "PT1M",
				},
				ScaleSettings: machinelearningservices.AutoScaleSettings{
					PollingInterval:             "PT1M",
					ScaleType:                   "Auto",
					TargetUtilizationPercentage: 50,
				},
			},
			ResourceGroupName: pulumi.String("testrg123"),
			Tags: pulumi.StringMap{
				"additionalProp1": pulumi.String("string"),
				"additionalProp2": pulumi.String("string"),
				"additionalProp3": pulumi.String("string"),
			},
			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.OnlineDeployment;
import com.pulumi.azurenative.machinelearningservices.OnlineDeploymentArgs;
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 onlineDeployment = new OnlineDeployment("onlineDeployment", OnlineDeploymentArgs.builder()        
            .deploymentName("testDeployment")
            .endpointName("testEndpoint")
            .identity(Map.ofEntries(
                Map.entry("type", "UserAssigned"),
                Map.entry("userAssignedIdentities", Map.of("/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.ManagedIdentity/userAssignedIdentities/myuseridentity", Map.ofEntries(
                    Map.entry("clientId", "string"),
                    Map.entry("principalId", "string")
                )))
            ))
            .kind("string")
            .location("string")
            .properties(Map.ofEntries(
                Map.entry("appInsightsEnabled", true),
                Map.entry("codeConfiguration", Map.ofEntries(
                    Map.entry("codeId", "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/codes/code123/versions/1"),
                    Map.entry("scoringScript", "string")
                )),
                Map.entry("containerResourceRequirements", Map.ofEntries(
                    Map.entry("cpu", 4),
                    Map.entry("cpuLimit", 4),
                    Map.entry("memoryInGB", 64),
                    Map.entry("memoryInGBLimit", 64)
                )),
                Map.entry("description", "string"),
                Map.entry("endpointComputeType", "K8S"),
                Map.entry("environmentId", "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/environments/env123"),
                Map.entry("livenessProbe", Map.ofEntries(
                    Map.entry("failureThreshold", 50),
                    Map.entry("initialDelay", "PT1M"),
                    Map.entry("period", "PT1M"),
                    Map.entry("successThreshold", 50),
                    Map.entry("timeout", "PT1M")
                )),
                Map.entry("model", Map.ofEntries(
                    Map.entry("assetId", "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/models/model123"),
                    Map.entry("referenceType", "Id")
                )),
                Map.entry("properties", K8sOnlineDeploymentArgs.builder()
                    .additionalProp1("string")
                    .additionalProp2("string")
                    .additionalProp3("string")
                    .build()),
                Map.entry("requestSettings", Map.ofEntries(
                    Map.entry("maxConcurrentRequestsPerInstance", 5),
                    Map.entry("maxQueueWait", "PT1M"),
                    Map.entry("requestTimeout", "PT1M")
                )),
                Map.entry("scaleSettings", Map.ofEntries(
                    Map.entry("pollingInterval", "PT1M"),
                    Map.entry("scaleType", "Auto"),
                    Map.entry("targetUtilizationPercentage", 50)
                ))
            ))
            .resourceGroupName("testrg123")
            .tags(Map.ofEntries(
                Map.entry("additionalProp1", "string"),
                Map.entry("additionalProp2", "string"),
                Map.entry("additionalProp3", "string")
            ))
            .workspaceName("workspace123")
            .build());

    }
}

    import pulumi
import pulumi_azure_native as azure_native

online_deployment = azure_native.machinelearningservices.OnlineDeployment("onlineDeployment",
    deployment_name="testDeployment",
    endpoint_name="testEndpoint",
    identity=azure_native.machinelearningservices.ResourceIdentityResponseArgs(
        type="UserAssigned",
        user_assigned_identities={
            "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.ManagedIdentity/userAssignedIdentities/myuseridentity": azure_native.machinelearningservices.UserAssignedIdentityMetaArgs(
                client_id="string",
                principal_id="string",
            ),
        },
    ),
    kind="string",
    location="string",
    properties=azure_native.machinelearningservices.K8sOnlineDeploymentArgs(
        app_insights_enabled=True,
        code_configuration=azure_native.machinelearningservices.CodeConfigurationArgs(
            code_id="/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/codes/code123/versions/1",
            scoring_script="string",
        ),
        container_resource_requirements=azure_native.machinelearningservices.ContainerResourceRequirementsArgs(
            cpu=4,
            cpu_limit=4,
            memory_in_gb=64,
            memory_in_gb_limit=64,
        ),
        description="string",
        endpoint_compute_type="K8S",
        environment_id="/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/environments/env123",
        liveness_probe=azure_native.machinelearningservices.ProbeSettingsArgs(
            failure_threshold=50,
            initial_delay="PT1M",
            period="PT1M",
            success_threshold=50,
            timeout="PT1M",
        ),
        model=azure_native.machinelearningservices.IdAssetReferenceArgs(
            asset_id="/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/models/model123",
            reference_type="Id",
        ),
        properties={
            "additionalProp1": "string",
            "additionalProp2": "string",
            "additionalProp3": "string",
        },
        request_settings=azure_native.machinelearningservices.OnlineRequestSettingsArgs(
            max_concurrent_requests_per_instance=5,
            max_queue_wait="PT1M",
            request_timeout="PT1M",
        ),
        scale_settings=azure_native.machinelearningservices.AutoScaleSettingsArgs(
            polling_interval="PT1M",
            scale_type="Auto",
            target_utilization_percentage=50,
        ),
    ),
    resource_group_name="testrg123",
    tags={
        "additionalProp1": "string",
        "additionalProp2": "string",
        "additionalProp3": "string",
    },
    workspace_name="workspace123")

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

const onlineDeployment = new azure_native.machinelearningservices.OnlineDeployment("onlineDeployment", {
    deploymentName: "testDeployment",
    endpointName: "testEndpoint",
    identity: {
        type: "UserAssigned",
        userAssignedIdentities: {
            "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.ManagedIdentity/userAssignedIdentities/myuseridentity": {
                clientId: "string",
                principalId: "string",
            },
        },
    },
    kind: "string",
    location: "string",
    properties: {
        appInsightsEnabled: true,
        codeConfiguration: {
            codeId: "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/codes/code123/versions/1",
            scoringScript: "string",
        },
        containerResourceRequirements: {
            cpu: 4,
            cpuLimit: 4,
            memoryInGB: 64,
            memoryInGBLimit: 64,
        },
        description: "string",
        endpointComputeType: "K8S",
        environmentId: "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/environments/env123",
        livenessProbe: {
            failureThreshold: 50,
            initialDelay: "PT1M",
            period: "PT1M",
            successThreshold: 50,
            timeout: "PT1M",
        },
        model: {
            assetId: "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/models/model123",
            referenceType: "Id",
        },
        properties: {
            additionalProp1: "string",
            additionalProp2: "string",
            additionalProp3: "string",
        },
        requestSettings: {
            maxConcurrentRequestsPerInstance: 5,
            maxQueueWait: "PT1M",
            requestTimeout: "PT1M",
        },
        scaleSettings: {
            pollingInterval: "PT1M",
            scaleType: "Auto",
            targetUtilizationPercentage: 50,
        },
    },
    resourceGroupName: "testrg123",
    tags: {
        additionalProp1: "string",
        additionalProp2: "string",
        additionalProp3: "string",
    },
    workspaceName: "workspace123",
});

    resources:
  onlineDeployment:
    type: azure-native:machinelearningservices:OnlineDeployment
    properties:
      deploymentName: testDeployment
      endpointName: testEndpoint
      identity:
        type: UserAssigned
        userAssignedIdentities:
          ? /subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.ManagedIdentity/userAssignedIdentities/myuseridentity
          : clientId: string
            principalId: string
      kind: string
      location: string
      properties:
        appInsightsEnabled: true
        codeConfiguration:
          codeId: /subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/codes/code123/versions/1
          scoringScript: string
        containerResourceRequirements:
          cpu: 4
          cpuLimit: 4
          memoryInGB: 64
          memoryInGBLimit: 64
        description: string
        endpointComputeType: K8S
        environmentId: /subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/environments/env123
        livenessProbe:
          failureThreshold: 50
          initialDelay: PT1M
          period: PT1M
          successThreshold: 50
          timeout: PT1M
        model:
          assetId: /subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/models/model123
          referenceType: Id
        properties:
          additionalProp1: string
          additionalProp2: string
          additionalProp3: string
        requestSettings:
          maxConcurrentRequestsPerInstance: 5
          maxQueueWait: PT1M
          requestTimeout: PT1M
        scaleSettings:
          pollingInterval: PT1M
          scaleType: Auto
          targetUtilizationPercentage: 50
      resourceGroupName: testrg123
      tags:
        additionalProp1: string
        additionalProp2: string
        additionalProp3: string
      workspaceName: workspace123

    CreateOrUpdate Managed Online Deployment.

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

return await Deployment.RunAsync(() => 
{
    var onlineDeployment = new AzureNative.MachineLearningServices.OnlineDeployment("onlineDeployment", new()
    {
        DeploymentName = "testDeployment",
        EndpointName = "testEndpoint",
        Identity = new AzureNative.MachineLearningServices.Inputs.ResourceIdentityArgs
        {
            Type = "UserAssigned",
            UserAssignedIdentities = 
            {
                { "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.ManagedIdentity/userAssignedIdentities/myuseridentity", new AzureNative.MachineLearningServices.Inputs.UserAssignedIdentityMetaArgs
                {
                    ClientId = "string",
                    PrincipalId = "string",
                } },
            },
        },
        Kind = "string",
        Location = "string",
        Properties = new AzureNative.MachineLearningServices.Inputs.ManagedOnlineDeploymentArgs
        {
            AppInsightsEnabled = true,
            CodeConfiguration = new AzureNative.MachineLearningServices.Inputs.CodeConfigurationArgs
            {
                CodeId = "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/codes/code123/versions/1",
                ScoringScript = "string",
            },
            Description = "string",
            EndpointComputeType = "Managed",
            EnvironmentId = "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/environments/env123",
            LivenessProbe = new AzureNative.MachineLearningServices.Inputs.ProbeSettingsArgs
            {
                FailureThreshold = 50,
                InitialDelay = "PT1M",
                Period = "PT1M",
                SuccessThreshold = 50,
                Timeout = "PT1M",
            },
            Model = new AzureNative.MachineLearningServices.Inputs.IdAssetReferenceArgs
            {
                AssetId = "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/models/model123",
                ReferenceType = "Id",
            },
            Properties = 
            {
                { "additionalProp1", "string" },
                { "additionalProp2", "string" },
                { "additionalProp3", "string" },
            },
            RequestSettings = new AzureNative.MachineLearningServices.Inputs.OnlineRequestSettingsArgs
            {
                MaxConcurrentRequestsPerInstance = 5,
                MaxQueueWait = "PT1M",
                RequestTimeout = "PT1M",
            },
            ScaleSettings = new AzureNative.MachineLearningServices.Inputs.AutoScaleSettingsArgs
            {
                PollingInterval = "PT1M",
                ScaleType = "Auto",
                TargetUtilizationPercentage = 50,
            },
        },
        ResourceGroupName = "testrg123",
        Tags = 
        {
            { "additionalProp1", "string" },
            { "additionalProp2", "string" },
            { "additionalProp3", "string" },
        },
        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.NewOnlineDeployment(ctx, "onlineDeployment", &machinelearningservices.OnlineDeploymentArgs{
			DeploymentName: pulumi.String("testDeployment"),
			EndpointName:   pulumi.String("testEndpoint"),
			Identity: machinelearningservices.ResourceIdentityResponse{
				Type: pulumi.String("UserAssigned"),
				UserAssignedIdentities: machinelearningservices.UserAssignedIdentityMetaMap{
					"/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.ManagedIdentity/userAssignedIdentities/myuseridentity": &machinelearningservices.UserAssignedIdentityMetaArgs{
						ClientId:    pulumi.String("string"),
						PrincipalId: pulumi.String("string"),
					},
				},
			},
			Kind:     pulumi.String("string"),
			Location: pulumi.String("string"),
			Properties: machinelearningservices.ManagedOnlineDeployment{
				AppInsightsEnabled: true,
				CodeConfiguration: machinelearningservices.CodeConfiguration{
					CodeId:        "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/codes/code123/versions/1",
					ScoringScript: "string",
				},
				Description:         "string",
				EndpointComputeType: "Managed",
				EnvironmentId:       "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/environments/env123",
				LivenessProbe: machinelearningservices.ProbeSettings{
					FailureThreshold: 50,
					InitialDelay:     "PT1M",
					Period:           "PT1M",
					SuccessThreshold: 50,
					Timeout:          "PT1M",
				},
				Model: machinelearningservices.IdAssetReference{
					AssetId:       "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/models/model123",
					ReferenceType: "Id",
				},
				Properties: map[string]interface{}{
					"additionalProp1": "string",
					"additionalProp2": "string",
					"additionalProp3": "string",
				},
				RequestSettings: machinelearningservices.OnlineRequestSettings{
					MaxConcurrentRequestsPerInstance: 5,
					MaxQueueWait:                     "PT1M",
					RequestTimeout:                   "PT1M",
				},
				ScaleSettings: machinelearningservices.AutoScaleSettings{
					PollingInterval:             "PT1M",
					ScaleType:                   "Auto",
					TargetUtilizationPercentage: 50,
				},
			},
			ResourceGroupName: pulumi.String("testrg123"),
			Tags: pulumi.StringMap{
				"additionalProp1": pulumi.String("string"),
				"additionalProp2": pulumi.String("string"),
				"additionalProp3": pulumi.String("string"),
			},
			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.OnlineDeployment;
import com.pulumi.azurenative.machinelearningservices.OnlineDeploymentArgs;
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 onlineDeployment = new OnlineDeployment("onlineDeployment", OnlineDeploymentArgs.builder()        
            .deploymentName("testDeployment")
            .endpointName("testEndpoint")
            .identity(Map.ofEntries(
                Map.entry("type", "UserAssigned"),
                Map.entry("userAssignedIdentities", Map.of("/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.ManagedIdentity/userAssignedIdentities/myuseridentity", Map.ofEntries(
                    Map.entry("clientId", "string"),
                    Map.entry("principalId", "string")
                )))
            ))
            .kind("string")
            .location("string")
            .properties(Map.ofEntries(
                Map.entry("appInsightsEnabled", true),
                Map.entry("codeConfiguration", Map.ofEntries(
                    Map.entry("codeId", "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/codes/code123/versions/1"),
                    Map.entry("scoringScript", "string")
                )),
                Map.entry("description", "string"),
                Map.entry("endpointComputeType", "Managed"),
                Map.entry("environmentId", "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/environments/env123"),
                Map.entry("livenessProbe", Map.ofEntries(
                    Map.entry("failureThreshold", 50),
                    Map.entry("initialDelay", "PT1M"),
                    Map.entry("period", "PT1M"),
                    Map.entry("successThreshold", 50),
                    Map.entry("timeout", "PT1M")
                )),
                Map.entry("model", Map.ofEntries(
                    Map.entry("assetId", "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/models/model123"),
                    Map.entry("referenceType", "Id")
                )),
                Map.entry("properties", K8sOnlineDeploymentArgs.builder()
                    .additionalProp1("string")
                    .additionalProp2("string")
                    .additionalProp3("string")
                    .build()),
                Map.entry("requestSettings", Map.ofEntries(
                    Map.entry("maxConcurrentRequestsPerInstance", 5),
                    Map.entry("maxQueueWait", "PT1M"),
                    Map.entry("requestTimeout", "PT1M")
                )),
                Map.entry("scaleSettings", Map.ofEntries(
                    Map.entry("pollingInterval", "PT1M"),
                    Map.entry("scaleType", "Auto"),
                    Map.entry("targetUtilizationPercentage", 50)
                ))
            ))
            .resourceGroupName("testrg123")
            .tags(Map.ofEntries(
                Map.entry("additionalProp1", "string"),
                Map.entry("additionalProp2", "string"),
                Map.entry("additionalProp3", "string")
            ))
            .workspaceName("workspace123")
            .build());

    }
}

    import pulumi
import pulumi_azure_native as azure_native

online_deployment = azure_native.machinelearningservices.OnlineDeployment("onlineDeployment",
    deployment_name="testDeployment",
    endpoint_name="testEndpoint",
    identity=azure_native.machinelearningservices.ResourceIdentityResponseArgs(
        type="UserAssigned",
        user_assigned_identities={
            "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.ManagedIdentity/userAssignedIdentities/myuseridentity": azure_native.machinelearningservices.UserAssignedIdentityMetaArgs(
                client_id="string",
                principal_id="string",
            ),
        },
    ),
    kind="string",
    location="string",
    properties=azure_native.machinelearningservices.ManagedOnlineDeploymentArgs(
        app_insights_enabled=True,
        code_configuration=azure_native.machinelearningservices.CodeConfigurationArgs(
            code_id="/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/codes/code123/versions/1",
            scoring_script="string",
        ),
        description="string",
        endpoint_compute_type="Managed",
        environment_id="/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/environments/env123",
        liveness_probe=azure_native.machinelearningservices.ProbeSettingsArgs(
            failure_threshold=50,
            initial_delay="PT1M",
            period="PT1M",
            success_threshold=50,
            timeout="PT1M",
        ),
        model=azure_native.machinelearningservices.IdAssetReferenceArgs(
            asset_id="/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/models/model123",
            reference_type="Id",
        ),
        properties={
            "additionalProp1": "string",
            "additionalProp2": "string",
            "additionalProp3": "string",
        },
        request_settings=azure_native.machinelearningservices.OnlineRequestSettingsArgs(
            max_concurrent_requests_per_instance=5,
            max_queue_wait="PT1M",
            request_timeout="PT1M",
        ),
        scale_settings=azure_native.machinelearningservices.AutoScaleSettingsArgs(
            polling_interval="PT1M",
            scale_type="Auto",
            target_utilization_percentage=50,
        ),
    ),
    resource_group_name="testrg123",
    tags={
        "additionalProp1": "string",
        "additionalProp2": "string",
        "additionalProp3": "string",
    },
    workspace_name="workspace123")

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

const onlineDeployment = new azure_native.machinelearningservices.OnlineDeployment("onlineDeployment", {
    deploymentName: "testDeployment",
    endpointName: "testEndpoint",
    identity: {
        type: "UserAssigned",
        userAssignedIdentities: {
            "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.ManagedIdentity/userAssignedIdentities/myuseridentity": {
                clientId: "string",
                principalId: "string",
            },
        },
    },
    kind: "string",
    location: "string",
    properties: {
        appInsightsEnabled: true,
        codeConfiguration: {
            codeId: "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/codes/code123/versions/1",
            scoringScript: "string",
        },
        description: "string",
        endpointComputeType: "Managed",
        environmentId: "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/environments/env123",
        livenessProbe: {
            failureThreshold: 50,
            initialDelay: "PT1M",
            period: "PT1M",
            successThreshold: 50,
            timeout: "PT1M",
        },
        model: {
            assetId: "/subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/models/model123",
            referenceType: "Id",
        },
        properties: {
            additionalProp1: "string",
            additionalProp2: "string",
            additionalProp3: "string",
        },
        requestSettings: {
            maxConcurrentRequestsPerInstance: 5,
            maxQueueWait: "PT1M",
            requestTimeout: "PT1M",
        },
        scaleSettings: {
            pollingInterval: "PT1M",
            scaleType: "Auto",
            targetUtilizationPercentage: 50,
        },
    },
    resourceGroupName: "testrg123",
    tags: {
        additionalProp1: "string",
        additionalProp2: "string",
        additionalProp3: "string",
    },
    workspaceName: "workspace123",
});

    resources:
  onlineDeployment:
    type: azure-native:machinelearningservices:OnlineDeployment
    properties:
      deploymentName: testDeployment
      endpointName: testEndpoint
      identity:
        type: UserAssigned
        userAssignedIdentities:
          ? /subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.ManagedIdentity/userAssignedIdentities/myuseridentity
          : clientId: string
            principalId: string
      kind: string
      location: string
      properties:
        appInsightsEnabled: true
        codeConfiguration:
          codeId: /subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/codes/code123/versions/1
          scoringScript: string
        description: string
        endpointComputeType: Managed
        environmentId: /subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/environments/env123
        livenessProbe:
          failureThreshold: 50
          initialDelay: PT1M
          period: PT1M
          successThreshold: 50
          timeout: PT1M
        model:
          assetId: /subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/resourceGroup-1234/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/models/model123
          referenceType: Id
        properties:
          additionalProp1: string
          additionalProp2: string
          additionalProp3: string
        requestSettings:
          maxConcurrentRequestsPerInstance: 5
          maxQueueWait: PT1M
          requestTimeout: PT1M
        scaleSettings:
          pollingInterval: PT1M
          scaleType: Auto
          targetUtilizationPercentage: 50
      resourceGroupName: testrg123
      tags:
        additionalProp1: string
        additionalProp2: string
        additionalProp3: string
      workspaceName: workspace123

    Create OnlineDeployment Resource

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

    Constructor syntax

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

@overload
def OnlineDeployment(resource_name: str,
                     opts: Optional[ResourceOptions] = None,
                     endpoint_name: Optional[str] = None,
                     properties: Optional[Union[K8sOnlineDeploymentArgs, ManagedOnlineDeploymentArgs]] = None,
                     resource_group_name: Optional[str] = None,
                     workspace_name: Optional[str] = None,
                     deployment_name: Optional[str] = None,
                     identity: Optional[ResourceIdentityArgs] = None,
                     kind: Optional[str] = None,
                     location: Optional[str] = None,
                     tags: Optional[Mapping[str, str]] = None)
    func NewOnlineDeployment(ctx *Context, name string, args OnlineDeploymentArgs, opts ...ResourceOption) (*OnlineDeployment, error)
    public OnlineDeployment(string name, OnlineDeploymentArgs args, CustomResourceOptions? opts = null)
    public OnlineDeployment(String name, OnlineDeploymentArgs args)
public OnlineDeployment(String name, OnlineDeploymentArgs args, CustomResourceOptions options)

    type: azure-native:machinelearningservices:OnlineDeployment
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 OnlineDeploymentArgs
    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 OnlineDeploymentArgs
    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 OnlineDeploymentArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args OnlineDeploymentArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args OnlineDeploymentArgs
    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 onlineDeploymentResource = new AzureNative.Machinelearningservices.OnlineDeployment("onlineDeploymentResource", new()
{
    EndpointName = "string",
    Properties = 
    {
        { "endpointComputeType", "K8S" },
        { "appInsightsEnabled", false },
        { "codeConfiguration", 
        {
            { "scoringScript", "string" },
            { "codeId", "string" },
        } },
        { "containerResourceRequirements", 
        {
            { "cpu", 0 },
            { "cpuLimit", 0 },
            { "fpga", 0 },
            { "gpu", 0 },
            { "memoryInGB", 0 },
            { "memoryInGBLimit", 0 },
        } },
        { "description", "string" },
        { "environmentId", "string" },
        { "environmentVariables", 
        {
            { "string", "string" },
        } },
        { "livenessProbe", 
        {
            { "failureThreshold", 0 },
            { "initialDelay", "string" },
            { "period", "string" },
            { "successThreshold", 0 },
            { "timeout", "string" },
        } },
        { "model", 
        {
            { "referenceType", "DataPath" },
            { "datastoreId", "string" },
            { "path", "string" },
        } },
        { "properties", 
        {
            { "string", "string" },
        } },
        { "requestSettings", 
        {
            { "maxConcurrentRequestsPerInstance", 0 },
            { "maxQueueWait", "string" },
            { "requestTimeout", "string" },
        } },
        { "scaleSettings", 
        {
            { "scaleType", "Auto" },
            { "maxInstances", 0 },
            { "minInstances", 0 },
            { "pollingInterval", "string" },
            { "targetUtilizationPercentage", 0 },
        } },
    },
    ResourceGroupName = "string",
    WorkspaceName = "string",
    DeploymentName = "string",
    Identity = 
    {
        { "type", "string" },
        { "userAssignedIdentities", 
        {
            { "string", 
            {
                { "clientId", "string" },
                { "principalId", "string" },
            } },
        } },
    },
    Kind = "string",
    Location = "string",
    Tags = 
    {
        { "string", "string" },
    },
});

    example, err := machinelearningservices.NewOnlineDeployment(ctx, "onlineDeploymentResource", &machinelearningservices.OnlineDeploymentArgs{
	EndpointName: "string",
	Properties: map[string]interface{}{
		"endpointComputeType": "K8S",
		"appInsightsEnabled":  false,
		"codeConfiguration": map[string]interface{}{
			"scoringScript": "string",
			"codeId":        "string",
		},
		"containerResourceRequirements": map[string]interface{}{
			"cpu":             0,
			"cpuLimit":        0,
			"fpga":            0,
			"gpu":             0,
			"memoryInGB":      0,
			"memoryInGBLimit": 0,
		},
		"description":   "string",
		"environmentId": "string",
		"environmentVariables": map[string]interface{}{
			"string": "string",
		},
		"livenessProbe": map[string]interface{}{
			"failureThreshold": 0,
			"initialDelay":     "string",
			"period":           "string",
			"successThreshold": 0,
			"timeout":          "string",
		},
		"model": map[string]interface{}{
			"referenceType": "DataPath",
			"datastoreId":   "string",
			"path":          "string",
		},
		"properties": map[string]interface{}{
			"string": "string",
		},
		"requestSettings": map[string]interface{}{
			"maxConcurrentRequestsPerInstance": 0,
			"maxQueueWait":                     "string",
			"requestTimeout":                   "string",
		},
		"scaleSettings": map[string]interface{}{
			"scaleType":                   "Auto",
			"maxInstances":                0,
			"minInstances":                0,
			"pollingInterval":             "string",
			"targetUtilizationPercentage": 0,
		},
	},
	ResourceGroupName: "string",
	WorkspaceName:     "string",
	DeploymentName:    "string",
	Identity: map[string]interface{}{
		"type": "string",
		"userAssignedIdentities": map[string]interface{}{
			"string": map[string]interface{}{
				"clientId":    "string",
				"principalId": "string",
			},
		},
	},
	Kind:     "string",
	Location: "string",
	Tags: map[string]interface{}{
		"string": "string",
	},
})

    var onlineDeploymentResource = new OnlineDeployment("onlineDeploymentResource", OnlineDeploymentArgs.builder()
    .endpointName("string")
    .properties(%!v(PANIC=Format method: runtime error: invalid memory address or nil pointer dereference))
    .resourceGroupName("string")
    .workspaceName("string")
    .deploymentName("string")
    .identity(%!v(PANIC=Format method: runtime error: invalid memory address or nil pointer dereference))
    .kind("string")
    .location("string")
    .tags(%!v(PANIC=Format method: runtime error: invalid memory address or nil pointer dereference))
    .build());

    online_deployment_resource = azure_native.machinelearningservices.OnlineDeployment("onlineDeploymentResource",
    endpoint_name=string,
    properties={
        endpointComputeType: K8S,
        appInsightsEnabled: False,
        codeConfiguration: {
            scoringScript: string,
            codeId: string,
        },
        containerResourceRequirements: {
            cpu: 0,
            cpuLimit: 0,
            fpga: 0,
            gpu: 0,
            memoryInGB: 0,
            memoryInGBLimit: 0,
        },
        description: string,
        environmentId: string,
        environmentVariables: {
            string: string,
        },
        livenessProbe: {
            failureThreshold: 0,
            initialDelay: string,
            period: string,
            successThreshold: 0,
            timeout: string,
        },
        model: {
            referenceType: DataPath,
            datastoreId: string,
            path: string,
        },
        properties: {
            string: string,
        },
        requestSettings: {
            maxConcurrentRequestsPerInstance: 0,
            maxQueueWait: string,
            requestTimeout: string,
        },
        scaleSettings: {
            scaleType: Auto,
            maxInstances: 0,
            minInstances: 0,
            pollingInterval: string,
            targetUtilizationPercentage: 0,
        },
    },
    resource_group_name=string,
    workspace_name=string,
    deployment_name=string,
    identity={
        type: string,
        userAssignedIdentities: {
            string: {
                clientId: string,
                principalId: string,
            },
        },
    },
    kind=string,
    location=string,
    tags={
        string: string,
    })

    const onlineDeploymentResource = new azure_native.machinelearningservices.OnlineDeployment("onlineDeploymentResource", {
    endpointName: "string",
    properties: {
        endpointComputeType: "K8S",
        appInsightsEnabled: false,
        codeConfiguration: {
            scoringScript: "string",
            codeId: "string",
        },
        containerResourceRequirements: {
            cpu: 0,
            cpuLimit: 0,
            fpga: 0,
            gpu: 0,
            memoryInGB: 0,
            memoryInGBLimit: 0,
        },
        description: "string",
        environmentId: "string",
        environmentVariables: {
            string: "string",
        },
        livenessProbe: {
            failureThreshold: 0,
            initialDelay: "string",
            period: "string",
            successThreshold: 0,
            timeout: "string",
        },
        model: {
            referenceType: "DataPath",
            datastoreId: "string",
            path: "string",
        },
        properties: {
            string: "string",
        },
        requestSettings: {
            maxConcurrentRequestsPerInstance: 0,
            maxQueueWait: "string",
            requestTimeout: "string",
        },
        scaleSettings: {
            scaleType: "Auto",
            maxInstances: 0,
            minInstances: 0,
            pollingInterval: "string",
            targetUtilizationPercentage: 0,
        },
    },
    resourceGroupName: "string",
    workspaceName: "string",
    deploymentName: "string",
    identity: {
        type: "string",
        userAssignedIdentities: {
            string: {
                clientId: "string",
                principalId: "string",
            },
        },
    },
    kind: "string",
    location: "string",
    tags: {
        string: "string",
    },
});

    type: azure-native:machinelearningservices:OnlineDeployment
properties:
    deploymentName: string
    endpointName: string
    identity:
        type: string
        userAssignedIdentities:
            string:
                clientId: string
                principalId: string
    kind: string
    location: string
    properties:
        appInsightsEnabled: false
        codeConfiguration:
            codeId: string
            scoringScript: string
        containerResourceRequirements:
            cpu: 0
            cpuLimit: 0
            fpga: 0
            gpu: 0
            memoryInGB: 0
            memoryInGBLimit: 0
        description: string
        endpointComputeType: K8S
        environmentId: string
        environmentVariables:
            string: string
        livenessProbe:
            failureThreshold: 0
            initialDelay: string
            period: string
            successThreshold: 0
            timeout: string
        model:
            datastoreId: string
            path: string
            referenceType: DataPath
        properties:
            string: string
        requestSettings:
            maxConcurrentRequestsPerInstance: 0
            maxQueueWait: string
            requestTimeout: string
        scaleSettings:
            maxInstances: 0
            minInstances: 0
            pollingInterval: string
            scaleType: Auto
            targetUtilizationPercentage: 0
    resourceGroupName: string
    tags:
        string: string
    workspaceName: string

    OnlineDeployment Resource Properties

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

    Inputs

    The OnlineDeployment resource accepts the following input properties:

    EndpointName string
    Inference endpoint name.
    Properties Pulumi.AzureNative.MachineLearningServices.Inputs.K8sOnlineDeployment | Pulumi.AzureNative.MachineLearningServices.Inputs.ManagedOnlineDeployment
    [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.
    DeploymentName string
    Inference Endpoint Deployment name.
    Identity Pulumi.AzureNative.MachineLearningServices.Inputs.ResourceIdentity
    Service identity associated with a resource.
    Kind string
    Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
    Location string
    The geo-location where the resource lives
    Tags Dictionary<string, string>
    Resource tags.
    EndpointName string
    Inference endpoint name.
    Properties K8sOnlineDeploymentArgs | ManagedOnlineDeploymentArgs
    [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.
    DeploymentName string
    Inference Endpoint Deployment name.
    Identity ResourceIdentityArgs
    Service identity associated with a resource.
    Kind string
    Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
    Location string
    The geo-location where the resource lives
    Tags map[string]string
    Resource tags.
    endpointName String
    Inference endpoint name.
    properties K8sOnlineDeployment | ManagedOnlineDeployment
    [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.
    deploymentName String
    Inference Endpoint Deployment name.
    identity ResourceIdentity
    Service identity associated with a resource.
    kind String
    Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
    location String
    The geo-location where the resource lives
    tags Map<String,String>
    Resource tags.
    endpointName string
    Inference endpoint name.
    properties K8sOnlineDeployment | ManagedOnlineDeployment
    [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.
    deploymentName string
    Inference Endpoint Deployment name.
    identity ResourceIdentity
    Service identity associated with a resource.
    kind string
    Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
    location string
    The geo-location where the resource lives
    tags {[key: string]: string}
    Resource tags.
    endpoint_name str
    Inference endpoint name.
    properties K8sOnlineDeploymentArgs | ManagedOnlineDeploymentArgs
    [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.
    deployment_name str
    Inference Endpoint Deployment name.
    identity ResourceIdentityArgs
    Service identity associated with a resource.
    kind str
    Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
    location str
    The geo-location where the resource lives
    tags Mapping[str, str]
    Resource tags.
    endpointName String
    Inference endpoint name.
    properties Property Map | 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.
    deploymentName String
    Inference Endpoint Deployment name.
    identity Property Map
    Service identity associated with a resource.
    kind String
    Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
    location String
    The geo-location where the resource lives
    tags Map<String>
    Resource tags.

    Outputs

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

    Id string
    The provider-assigned unique ID for this managed resource.
    Name string
    The name of the 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.
    Name string
    The name of the 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.
    name String
    The name of the 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.
    name string
    The name of the 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.
    name str
    The name of the 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.
    name String
    The name of the 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

    AutoScaleSettings, AutoScaleSettingsArgs

    MaxInstances int
    Maximum number of instances for this deployment.
    MinInstances int
    Minimum number of instances for this deployment.
    PollingInterval string
    The polling interval in ISO 8691 format. Only supports duration with precision as low as Seconds.
    TargetUtilizationPercentage int
    Target CPU usage for the autoscaler.
    MaxInstances int
    Maximum number of instances for this deployment.
    MinInstances int
    Minimum number of instances for this deployment.
    PollingInterval string
    The polling interval in ISO 8691 format. Only supports duration with precision as low as Seconds.
    TargetUtilizationPercentage int
    Target CPU usage for the autoscaler.
    maxInstances Integer
    Maximum number of instances for this deployment.
    minInstances Integer
    Minimum number of instances for this deployment.
    pollingInterval String
    The polling interval in ISO 8691 format. Only supports duration with precision as low as Seconds.
    targetUtilizationPercentage Integer
    Target CPU usage for the autoscaler.
    maxInstances number
    Maximum number of instances for this deployment.
    minInstances number
    Minimum number of instances for this deployment.
    pollingInterval string
    The polling interval in ISO 8691 format. Only supports duration with precision as low as Seconds.
    targetUtilizationPercentage number
    Target CPU usage for the autoscaler.
    max_instances int
    Maximum number of instances for this deployment.
    min_instances int
    Minimum number of instances for this deployment.
    polling_interval str
    The polling interval in ISO 8691 format. Only supports duration with precision as low as Seconds.
    target_utilization_percentage int
    Target CPU usage for the autoscaler.
    maxInstances Number
    Maximum number of instances for this deployment.
    minInstances Number
    Minimum number of instances for this deployment.
    pollingInterval String
    The polling interval in ISO 8691 format. Only supports duration with precision as low as Seconds.
    targetUtilizationPercentage Number
    Target CPU usage for the autoscaler.

    AutoScaleSettingsResponse, AutoScaleSettingsResponseArgs

    MaxInstances int
    Maximum number of instances for this deployment.
    MinInstances int
    Minimum number of instances for this deployment.
    PollingInterval string
    The polling interval in ISO 8691 format. Only supports duration with precision as low as Seconds.
    TargetUtilizationPercentage int
    Target CPU usage for the autoscaler.
    MaxInstances int
    Maximum number of instances for this deployment.
    MinInstances int
    Minimum number of instances for this deployment.
    PollingInterval string
    The polling interval in ISO 8691 format. Only supports duration with precision as low as Seconds.
    TargetUtilizationPercentage int
    Target CPU usage for the autoscaler.
    maxInstances Integer
    Maximum number of instances for this deployment.
    minInstances Integer
    Minimum number of instances for this deployment.
    pollingInterval String
    The polling interval in ISO 8691 format. Only supports duration with precision as low as Seconds.
    targetUtilizationPercentage Integer
    Target CPU usage for the autoscaler.
    maxInstances number
    Maximum number of instances for this deployment.
    minInstances number
    Minimum number of instances for this deployment.
    pollingInterval string
    The polling interval in ISO 8691 format. Only supports duration with precision as low as Seconds.
    targetUtilizationPercentage number
    Target CPU usage for the autoscaler.
    max_instances int
    Maximum number of instances for this deployment.
    min_instances int
    Minimum number of instances for this deployment.
    polling_interval str
    The polling interval in ISO 8691 format. Only supports duration with precision as low as Seconds.
    target_utilization_percentage int
    Target CPU usage for the autoscaler.
    maxInstances Number
    Maximum number of instances for this deployment.
    minInstances Number
    Minimum number of instances for this deployment.
    pollingInterval String
    The polling interval in ISO 8691 format. Only supports duration with precision as low as Seconds.
    targetUtilizationPercentage Number
    Target CPU usage for the autoscaler.

    CodeConfiguration, CodeConfigurationArgs

    ScoringScript string
    [Required] The script to execute on startup. eg. "score.py"
    CodeId string
    ARM resource ID of the code asset.
    ScoringScript string
    [Required] The script to execute on startup. eg. "score.py"
    CodeId string
    ARM resource ID of the code asset.
    scoringScript String
    [Required] The script to execute on startup. eg. "score.py"
    codeId String
    ARM resource ID of the code asset.
    scoringScript string
    [Required] The script to execute on startup. eg. "score.py"
    codeId string
    ARM resource ID of the code asset.
    scoring_script str
    [Required] The script to execute on startup. eg. "score.py"
    code_id str
    ARM resource ID of the code asset.
    scoringScript String
    [Required] The script to execute on startup. eg. "score.py"
    codeId String
    ARM resource ID of the code asset.

    CodeConfigurationResponse, CodeConfigurationResponseArgs

    ScoringScript string
    [Required] The script to execute on startup. eg. "score.py"
    CodeId string
    ARM resource ID of the code asset.
    ScoringScript string
    [Required] The script to execute on startup. eg. "score.py"
    CodeId string
    ARM resource ID of the code asset.
    scoringScript String
    [Required] The script to execute on startup. eg. "score.py"
    codeId String
    ARM resource ID of the code asset.
    scoringScript string
    [Required] The script to execute on startup. eg. "score.py"
    codeId string
    ARM resource ID of the code asset.
    scoring_script str
    [Required] The script to execute on startup. eg. "score.py"
    code_id str
    ARM resource ID of the code asset.
    scoringScript String
    [Required] The script to execute on startup. eg. "score.py"
    codeId String
    ARM resource ID of the code asset.

    ContainerResourceRequirements, ContainerResourceRequirementsArgs

    Cpu double
    The minimum amount of CPU cores to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    CpuLimit double
    The maximum amount of CPU cores allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    Fpga int
    The number of FPGA PCIE devices exposed to the container. Must be multiple of 2.
    Gpu int
    The number of GPU cores in the container.
    MemoryInGB double
    The minimum amount of memory (in GB) to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    MemoryInGBLimit double
    The maximum amount of memory (in GB) allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    Cpu float64
    The minimum amount of CPU cores to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    CpuLimit float64
    The maximum amount of CPU cores allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    Fpga int
    The number of FPGA PCIE devices exposed to the container. Must be multiple of 2.
    Gpu int
    The number of GPU cores in the container.
    MemoryInGB float64
    The minimum amount of memory (in GB) to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    MemoryInGBLimit float64
    The maximum amount of memory (in GB) allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    cpu Double
    The minimum amount of CPU cores to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    cpuLimit Double
    The maximum amount of CPU cores allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    fpga Integer
    The number of FPGA PCIE devices exposed to the container. Must be multiple of 2.
    gpu Integer
    The number of GPU cores in the container.
    memoryInGB Double
    The minimum amount of memory (in GB) to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    memoryInGBLimit Double
    The maximum amount of memory (in GB) allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    cpu number
    The minimum amount of CPU cores to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    cpuLimit number
    The maximum amount of CPU cores allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    fpga number
    The number of FPGA PCIE devices exposed to the container. Must be multiple of 2.
    gpu number
    The number of GPU cores in the container.
    memoryInGB number
    The minimum amount of memory (in GB) to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    memoryInGBLimit number
    The maximum amount of memory (in GB) allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    cpu float
    The minimum amount of CPU cores to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    cpu_limit float
    The maximum amount of CPU cores allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    fpga int
    The number of FPGA PCIE devices exposed to the container. Must be multiple of 2.
    gpu int
    The number of GPU cores in the container.
    memory_in_gb float
    The minimum amount of memory (in GB) to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    memory_in_gb_limit float
    The maximum amount of memory (in GB) allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    cpu Number
    The minimum amount of CPU cores to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    cpuLimit Number
    The maximum amount of CPU cores allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    fpga Number
    The number of FPGA PCIE devices exposed to the container. Must be multiple of 2.
    gpu Number
    The number of GPU cores in the container.
    memoryInGB Number
    The minimum amount of memory (in GB) to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    memoryInGBLimit Number
    The maximum amount of memory (in GB) allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

    ContainerResourceRequirementsResponse, ContainerResourceRequirementsResponseArgs

    Cpu double
    The minimum amount of CPU cores to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    CpuLimit double
    The maximum amount of CPU cores allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    Fpga int
    The number of FPGA PCIE devices exposed to the container. Must be multiple of 2.
    Gpu int
    The number of GPU cores in the container.
    MemoryInGB double
    The minimum amount of memory (in GB) to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    MemoryInGBLimit double
    The maximum amount of memory (in GB) allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    Cpu float64
    The minimum amount of CPU cores to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    CpuLimit float64
    The maximum amount of CPU cores allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    Fpga int
    The number of FPGA PCIE devices exposed to the container. Must be multiple of 2.
    Gpu int
    The number of GPU cores in the container.
    MemoryInGB float64
    The minimum amount of memory (in GB) to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    MemoryInGBLimit float64
    The maximum amount of memory (in GB) allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    cpu Double
    The minimum amount of CPU cores to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    cpuLimit Double
    The maximum amount of CPU cores allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    fpga Integer
    The number of FPGA PCIE devices exposed to the container. Must be multiple of 2.
    gpu Integer
    The number of GPU cores in the container.
    memoryInGB Double
    The minimum amount of memory (in GB) to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    memoryInGBLimit Double
    The maximum amount of memory (in GB) allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    cpu number
    The minimum amount of CPU cores to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    cpuLimit number
    The maximum amount of CPU cores allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    fpga number
    The number of FPGA PCIE devices exposed to the container. Must be multiple of 2.
    gpu number
    The number of GPU cores in the container.
    memoryInGB number
    The minimum amount of memory (in GB) to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    memoryInGBLimit number
    The maximum amount of memory (in GB) allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    cpu float
    The minimum amount of CPU cores to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    cpu_limit float
    The maximum amount of CPU cores allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    fpga int
    The number of FPGA PCIE devices exposed to the container. Must be multiple of 2.
    gpu int
    The number of GPU cores in the container.
    memory_in_gb float
    The minimum amount of memory (in GB) to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    memory_in_gb_limit float
    The maximum amount of memory (in GB) allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    cpu Number
    The minimum amount of CPU cores to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    cpuLimit Number
    The maximum amount of CPU cores allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    fpga Number
    The number of FPGA PCIE devices exposed to the container. Must be multiple of 2.
    gpu Number
    The number of GPU cores in the container.
    memoryInGB Number
    The minimum amount of memory (in GB) to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    memoryInGBLimit Number
    The maximum amount of memory (in GB) allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

    DataPathAssetReference, DataPathAssetReferenceArgs

    DatastoreId string
    ARM resource ID of the datastore where the asset is located.
    Path string
    The path of the file/directory in the datastore.
    DatastoreId string
    ARM resource ID of the datastore where the asset is located.
    Path string
    The path of the file/directory in the datastore.
    datastoreId String
    ARM resource ID of the datastore where the asset is located.
    path String
    The path of the file/directory in the datastore.
    datastoreId string
    ARM resource ID of the datastore where the asset is located.
    path string
    The path of the file/directory in the datastore.
    datastore_id str
    ARM resource ID of the datastore where the asset is located.
    path str
    The path of the file/directory in the datastore.
    datastoreId String
    ARM resource ID of the datastore where the asset is located.
    path String
    The path of the file/directory in the datastore.

    DataPathAssetReferenceResponse, DataPathAssetReferenceResponseArgs

    DatastoreId string
    ARM resource ID of the datastore where the asset is located.
    Path string
    The path of the file/directory in the datastore.
    DatastoreId string
    ARM resource ID of the datastore where the asset is located.
    Path string
    The path of the file/directory in the datastore.
    datastoreId String
    ARM resource ID of the datastore where the asset is located.
    path String
    The path of the file/directory in the datastore.
    datastoreId string
    ARM resource ID of the datastore where the asset is located.
    path string
    The path of the file/directory in the datastore.
    datastore_id str
    ARM resource ID of the datastore where the asset is located.
    path str
    The path of the file/directory in the datastore.
    datastoreId String
    ARM resource ID of the datastore where the asset is located.
    path String
    The path of the file/directory in the datastore.

    IdAssetReference, IdAssetReferenceArgs

    AssetId string
    [Required] ARM resource ID of the asset.
    AssetId string
    [Required] ARM resource ID of the asset.
    assetId String
    [Required] ARM resource ID of the asset.
    assetId string
    [Required] ARM resource ID of the asset.
    asset_id str
    [Required] ARM resource ID of the asset.
    assetId String
    [Required] ARM resource ID of the asset.

    IdAssetReferenceResponse, IdAssetReferenceResponseArgs

    AssetId string
    [Required] ARM resource ID of the asset.
    AssetId string
    [Required] ARM resource ID of the asset.
    assetId String
    [Required] ARM resource ID of the asset.
    assetId string
    [Required] ARM resource ID of the asset.
    asset_id str
    [Required] ARM resource ID of the asset.
    assetId String
    [Required] ARM resource ID of the asset.

    K8sOnlineDeployment, K8sOnlineDeploymentArgs

    AppInsightsEnabled bool
    If true, enables Application Insights logging.
    CodeConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.CodeConfiguration
    Code configuration for the endpoint deployment.
    ContainerResourceRequirements Pulumi.AzureNative.MachineLearningServices.Inputs.ContainerResourceRequirements
    Resource requirements for each container instance within an online deployment.
    Description string
    Description of the endpoint deployment.
    EnvironmentId string
    ARM resource ID of the environment specification for the endpoint deployment.
    EnvironmentVariables Dictionary<string, string>
    Environment variables configuration for the deployment.
    LivenessProbe Pulumi.AzureNative.MachineLearningServices.Inputs.ProbeSettings
    Deployment container liveness/readiness probe configuration.
    Model Pulumi.AzureNative.MachineLearningServices.Inputs.DataPathAssetReference | Pulumi.AzureNative.MachineLearningServices.Inputs.IdAssetReference | Pulumi.AzureNative.MachineLearningServices.Inputs.OutputPathAssetReference
    Reference to the model asset for the endpoint deployment.
    Properties Dictionary<string, string>
    Property dictionary. Properties can be added, but not removed or altered.
    RequestSettings Pulumi.AzureNative.MachineLearningServices.Inputs.OnlineRequestSettings
    Online deployment scoring requests configuration.
    ScaleSettings Pulumi.AzureNative.MachineLearningServices.Inputs.AutoScaleSettings | Pulumi.AzureNative.MachineLearningServices.Inputs.ManualScaleSettings
    Online deployment scaling configuration.
    AppInsightsEnabled bool
    If true, enables Application Insights logging.
    CodeConfiguration CodeConfiguration
    Code configuration for the endpoint deployment.
    ContainerResourceRequirements ContainerResourceRequirements
    Resource requirements for each container instance within an online deployment.
    Description string
    Description of the endpoint deployment.
    EnvironmentId string
    ARM resource ID of the environment specification for the endpoint deployment.
    EnvironmentVariables map[string]string
    Environment variables configuration for the deployment.
    LivenessProbe ProbeSettings
    Deployment container liveness/readiness probe configuration.
    Model DataPathAssetReference | IdAssetReference | OutputPathAssetReference
    Reference to the model asset for the endpoint deployment.
    Properties map[string]string
    Property dictionary. Properties can be added, but not removed or altered.
    RequestSettings OnlineRequestSettings
    Online deployment scoring requests configuration.
    ScaleSettings AutoScaleSettings | ManualScaleSettings
    Online deployment scaling configuration.
    appInsightsEnabled Boolean
    If true, enables Application Insights logging.
    codeConfiguration CodeConfiguration
    Code configuration for the endpoint deployment.
    containerResourceRequirements ContainerResourceRequirements
    Resource requirements for each container instance within an online deployment.
    description String
    Description of the endpoint deployment.
    environmentId String
    ARM resource ID of the environment specification for the endpoint deployment.
    environmentVariables Map<String,String>
    Environment variables configuration for the deployment.
    livenessProbe ProbeSettings
    Deployment container liveness/readiness probe configuration.
    model DataPathAssetReference | IdAssetReference | OutputPathAssetReference
    Reference to the model asset for the endpoint deployment.
    properties Map<String,String>
    Property dictionary. Properties can be added, but not removed or altered.
    requestSettings OnlineRequestSettings
    Online deployment scoring requests configuration.
    scaleSettings AutoScaleSettings | ManualScaleSettings
    Online deployment scaling configuration.
    appInsightsEnabled boolean
    If true, enables Application Insights logging.
    codeConfiguration CodeConfiguration
    Code configuration for the endpoint deployment.
    containerResourceRequirements ContainerResourceRequirements
    Resource requirements for each container instance within an online deployment.
    description string
    Description of the endpoint deployment.
    environmentId string
    ARM resource ID of the environment specification for the endpoint deployment.
    environmentVariables {[key: string]: string}
    Environment variables configuration for the deployment.
    livenessProbe ProbeSettings
    Deployment container liveness/readiness probe configuration.
    model DataPathAssetReference | IdAssetReference | OutputPathAssetReference
    Reference to the model asset for the endpoint deployment.
    properties {[key: string]: string}
    Property dictionary. Properties can be added, but not removed or altered.
    requestSettings OnlineRequestSettings
    Online deployment scoring requests configuration.
    scaleSettings AutoScaleSettings | ManualScaleSettings
    Online deployment scaling configuration.
    app_insights_enabled bool
    If true, enables Application Insights logging.
    code_configuration CodeConfiguration
    Code configuration for the endpoint deployment.
    container_resource_requirements ContainerResourceRequirements
    Resource requirements for each container instance within an online deployment.
    description str
    Description of the endpoint deployment.
    environment_id str
    ARM resource ID of the environment specification for the endpoint deployment.
    environment_variables Mapping[str, str]
    Environment variables configuration for the deployment.
    liveness_probe ProbeSettings
    Deployment container liveness/readiness probe configuration.
    model DataPathAssetReference | IdAssetReference | OutputPathAssetReference
    Reference to the model asset for the endpoint deployment.
    properties Mapping[str, str]
    Property dictionary. Properties can be added, but not removed or altered.
    request_settings OnlineRequestSettings
    Online deployment scoring requests configuration.
    scale_settings AutoScaleSettings | ManualScaleSettings
    Online deployment scaling configuration.
    appInsightsEnabled Boolean
    If true, enables Application Insights logging.
    codeConfiguration Property Map
    Code configuration for the endpoint deployment.
    containerResourceRequirements Property Map
    Resource requirements for each container instance within an online deployment.
    description String
    Description of the endpoint deployment.
    environmentId String
    ARM resource ID of the environment specification for the endpoint deployment.
    environmentVariables Map<String>
    Environment variables configuration for the deployment.
    livenessProbe Property Map
    Deployment container liveness/readiness probe configuration.
    model Property Map | Property Map | Property Map
    Reference to the model asset for the endpoint deployment.
    properties Map<String>
    Property dictionary. Properties can be added, but not removed or altered.
    requestSettings Property Map
    Online deployment scoring requests configuration.
    scaleSettings Property Map | Property Map
    Online deployment scaling configuration.

    K8sOnlineDeploymentResponse, K8sOnlineDeploymentResponseArgs

    ProvisioningState string
    Provisioning state for the endpoint deployment.
    AppInsightsEnabled bool
    If true, enables Application Insights logging.
    CodeConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.CodeConfigurationResponse
    Code configuration for the endpoint deployment.
    ContainerResourceRequirements Pulumi.AzureNative.MachineLearningServices.Inputs.ContainerResourceRequirementsResponse
    Resource requirements for each container instance within an online deployment.
    Description string
    Description of the endpoint deployment.
    EnvironmentId string
    ARM resource ID of the environment specification for the endpoint deployment.
    EnvironmentVariables Dictionary<string, string>
    Environment variables configuration for the deployment.
    LivenessProbe Pulumi.AzureNative.MachineLearningServices.Inputs.ProbeSettingsResponse
    Deployment container liveness/readiness probe configuration.
    Model Pulumi.AzureNative.MachineLearningServices.Inputs.DataPathAssetReferenceResponse | Pulumi.AzureNative.MachineLearningServices.Inputs.IdAssetReferenceResponse | Pulumi.AzureNative.MachineLearningServices.Inputs.OutputPathAssetReferenceResponse
    Reference to the model asset for the endpoint deployment.
    Properties Dictionary<string, string>
    Property dictionary. Properties can be added, but not removed or altered.
    RequestSettings Pulumi.AzureNative.MachineLearningServices.Inputs.OnlineRequestSettingsResponse
    Online deployment scoring requests configuration.
    ScaleSettings Pulumi.AzureNative.MachineLearningServices.Inputs.AutoScaleSettingsResponse | Pulumi.AzureNative.MachineLearningServices.Inputs.ManualScaleSettingsResponse
    Online deployment scaling configuration.
    ProvisioningState string
    Provisioning state for the endpoint deployment.
    AppInsightsEnabled bool
    If true, enables Application Insights logging.
    CodeConfiguration CodeConfigurationResponse
    Code configuration for the endpoint deployment.
    ContainerResourceRequirements ContainerResourceRequirementsResponse
    Resource requirements for each container instance within an online deployment.
    Description string
    Description of the endpoint deployment.
    EnvironmentId string
    ARM resource ID of the environment specification for the endpoint deployment.
    EnvironmentVariables map[string]string
    Environment variables configuration for the deployment.
    LivenessProbe ProbeSettingsResponse
    Deployment container liveness/readiness probe configuration.
    Model DataPathAssetReferenceResponse | IdAssetReferenceResponse | OutputPathAssetReferenceResponse
    Reference to the model asset for the endpoint deployment.
    Properties map[string]string
    Property dictionary. Properties can be added, but not removed or altered.
    RequestSettings OnlineRequestSettingsResponse
    Online deployment scoring requests configuration.
    ScaleSettings AutoScaleSettingsResponse | ManualScaleSettingsResponse
    Online deployment scaling configuration.
    provisioningState String
    Provisioning state for the endpoint deployment.
    appInsightsEnabled Boolean
    If true, enables Application Insights logging.
    codeConfiguration CodeConfigurationResponse
    Code configuration for the endpoint deployment.
    containerResourceRequirements ContainerResourceRequirementsResponse
    Resource requirements for each container instance within an online deployment.
    description String
    Description of the endpoint deployment.
    environmentId String
    ARM resource ID of the environment specification for the endpoint deployment.
    environmentVariables Map<String,String>
    Environment variables configuration for the deployment.
    livenessProbe ProbeSettingsResponse
    Deployment container liveness/readiness probe configuration.
    model DataPathAssetReferenceResponse | IdAssetReferenceResponse | OutputPathAssetReferenceResponse
    Reference to the model asset for the endpoint deployment.
    properties Map<String,String>
    Property dictionary. Properties can be added, but not removed or altered.
    requestSettings OnlineRequestSettingsResponse
    Online deployment scoring requests configuration.
    scaleSettings AutoScaleSettingsResponse | ManualScaleSettingsResponse
    Online deployment scaling configuration.
    provisioningState string
    Provisioning state for the endpoint deployment.
    appInsightsEnabled boolean
    If true, enables Application Insights logging.
    codeConfiguration CodeConfigurationResponse
    Code configuration for the endpoint deployment.
    containerResourceRequirements ContainerResourceRequirementsResponse
    Resource requirements for each container instance within an online deployment.
    description string
    Description of the endpoint deployment.
    environmentId string
    ARM resource ID of the environment specification for the endpoint deployment.
    environmentVariables {[key: string]: string}
    Environment variables configuration for the deployment.
    livenessProbe ProbeSettingsResponse
    Deployment container liveness/readiness probe configuration.
    model DataPathAssetReferenceResponse | IdAssetReferenceResponse | OutputPathAssetReferenceResponse
    Reference to the model asset for the endpoint deployment.
    properties {[key: string]: string}
    Property dictionary. Properties can be added, but not removed or altered.
    requestSettings OnlineRequestSettingsResponse
    Online deployment scoring requests configuration.
    scaleSettings AutoScaleSettingsResponse | ManualScaleSettingsResponse
    Online deployment scaling configuration.
    provisioning_state str
    Provisioning state for the endpoint deployment.
    app_insights_enabled bool
    If true, enables Application Insights logging.
    code_configuration CodeConfigurationResponse
    Code configuration for the endpoint deployment.
    container_resource_requirements ContainerResourceRequirementsResponse
    Resource requirements for each container instance within an online deployment.
    description str
    Description of the endpoint deployment.
    environment_id str
    ARM resource ID of the environment specification for the endpoint deployment.
    environment_variables Mapping[str, str]
    Environment variables configuration for the deployment.
    liveness_probe ProbeSettingsResponse
    Deployment container liveness/readiness probe configuration.
    model DataPathAssetReferenceResponse | IdAssetReferenceResponse | OutputPathAssetReferenceResponse
    Reference to the model asset for the endpoint deployment.
    properties Mapping[str, str]
    Property dictionary. Properties can be added, but not removed or altered.
    request_settings OnlineRequestSettingsResponse
    Online deployment scoring requests configuration.
    scale_settings AutoScaleSettingsResponse | ManualScaleSettingsResponse
    Online deployment scaling configuration.
    provisioningState String
    Provisioning state for the endpoint deployment.
    appInsightsEnabled Boolean
    If true, enables Application Insights logging.
    codeConfiguration Property Map
    Code configuration for the endpoint deployment.
    containerResourceRequirements Property Map
    Resource requirements for each container instance within an online deployment.
    description String
    Description of the endpoint deployment.
    environmentId String
    ARM resource ID of the environment specification for the endpoint deployment.
    environmentVariables Map<String>
    Environment variables configuration for the deployment.
    livenessProbe Property Map
    Deployment container liveness/readiness probe configuration.
    model Property Map | Property Map | Property Map
    Reference to the model asset for the endpoint deployment.
    properties Map<String>
    Property dictionary. Properties can be added, but not removed or altered.
    requestSettings Property Map
    Online deployment scoring requests configuration.
    scaleSettings Property Map | Property Map
    Online deployment scaling configuration.

    ManagedOnlineDeployment, ManagedOnlineDeploymentArgs

    AppInsightsEnabled bool
    If true, enables Application Insights logging.
    CodeConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.CodeConfiguration
    Code configuration for the endpoint deployment.
    Description string
    Description of the endpoint deployment.
    EnvironmentId string
    ARM resource ID of the environment specification for the endpoint deployment.
    EnvironmentVariables Dictionary<string, string>
    Environment variables configuration for the deployment.
    InstanceType string
    Compute instance type.
    LivenessProbe Pulumi.AzureNative.MachineLearningServices.Inputs.ProbeSettings
    Deployment container liveness/readiness probe configuration.
    Model Pulumi.AzureNative.MachineLearningServices.Inputs.DataPathAssetReference | Pulumi.AzureNative.MachineLearningServices.Inputs.IdAssetReference | Pulumi.AzureNative.MachineLearningServices.Inputs.OutputPathAssetReference
    Reference to the model asset for the endpoint deployment.
    Properties Dictionary<string, string>
    Property dictionary. Properties can be added, but not removed or altered.
    ReadinessProbe Pulumi.AzureNative.MachineLearningServices.Inputs.ProbeSettings
    Deployment container liveness/readiness probe configuration.
    RequestSettings Pulumi.AzureNative.MachineLearningServices.Inputs.OnlineRequestSettings
    Online deployment scoring requests configuration.
    ScaleSettings Pulumi.AzureNative.MachineLearningServices.Inputs.AutoScaleSettings | Pulumi.AzureNative.MachineLearningServices.Inputs.ManualScaleSettings
    Online deployment scaling configuration.
    AppInsightsEnabled bool
    If true, enables Application Insights logging.
    CodeConfiguration CodeConfiguration
    Code configuration for the endpoint deployment.
    Description string
    Description of the endpoint deployment.
    EnvironmentId string
    ARM resource ID of the environment specification for the endpoint deployment.
    EnvironmentVariables map[string]string
    Environment variables configuration for the deployment.
    InstanceType string
    Compute instance type.
    LivenessProbe ProbeSettings
    Deployment container liveness/readiness probe configuration.
    Model DataPathAssetReference | IdAssetReference | OutputPathAssetReference
    Reference to the model asset for the endpoint deployment.
    Properties map[string]string
    Property dictionary. Properties can be added, but not removed or altered.
    ReadinessProbe ProbeSettings
    Deployment container liveness/readiness probe configuration.
    RequestSettings OnlineRequestSettings
    Online deployment scoring requests configuration.
    ScaleSettings AutoScaleSettings | ManualScaleSettings
    Online deployment scaling configuration.
    appInsightsEnabled Boolean
    If true, enables Application Insights logging.
    codeConfiguration CodeConfiguration
    Code configuration for the endpoint deployment.
    description String
    Description of the endpoint deployment.
    environmentId String
    ARM resource ID of the environment specification for the endpoint deployment.
    environmentVariables Map<String,String>
    Environment variables configuration for the deployment.
    instanceType String
    Compute instance type.
    livenessProbe ProbeSettings
    Deployment container liveness/readiness probe configuration.
    model DataPathAssetReference | IdAssetReference | OutputPathAssetReference
    Reference to the model asset for the endpoint deployment.
    properties Map<String,String>
    Property dictionary. Properties can be added, but not removed or altered.
    readinessProbe ProbeSettings
    Deployment container liveness/readiness probe configuration.
    requestSettings OnlineRequestSettings
    Online deployment scoring requests configuration.
    scaleSettings AutoScaleSettings | ManualScaleSettings
    Online deployment scaling configuration.
    appInsightsEnabled boolean
    If true, enables Application Insights logging.
    codeConfiguration CodeConfiguration
    Code configuration for the endpoint deployment.
    description string
    Description of the endpoint deployment.
    environmentId string
    ARM resource ID of the environment specification for the endpoint deployment.
    environmentVariables {[key: string]: string}
    Environment variables configuration for the deployment.
    instanceType string
    Compute instance type.
    livenessProbe ProbeSettings
    Deployment container liveness/readiness probe configuration.
    model DataPathAssetReference | IdAssetReference | OutputPathAssetReference
    Reference to the model asset for the endpoint deployment.
    properties {[key: string]: string}
    Property dictionary. Properties can be added, but not removed or altered.
    readinessProbe ProbeSettings
    Deployment container liveness/readiness probe configuration.
    requestSettings OnlineRequestSettings
    Online deployment scoring requests configuration.
    scaleSettings AutoScaleSettings | ManualScaleSettings
    Online deployment scaling configuration.
    app_insights_enabled bool
    If true, enables Application Insights logging.
    code_configuration CodeConfiguration
    Code configuration for the endpoint deployment.
    description str
    Description of the endpoint deployment.
    environment_id str
    ARM resource ID of the environment specification for the endpoint deployment.
    environment_variables Mapping[str, str]
    Environment variables configuration for the deployment.
    instance_type str
    Compute instance type.
    liveness_probe ProbeSettings
    Deployment container liveness/readiness probe configuration.
    model DataPathAssetReference | IdAssetReference | OutputPathAssetReference
    Reference to the model asset for the endpoint deployment.
    properties Mapping[str, str]
    Property dictionary. Properties can be added, but not removed or altered.
    readiness_probe ProbeSettings
    Deployment container liveness/readiness probe configuration.
    request_settings OnlineRequestSettings
    Online deployment scoring requests configuration.
    scale_settings AutoScaleSettings | ManualScaleSettings
    Online deployment scaling configuration.
    appInsightsEnabled Boolean
    If true, enables Application Insights logging.
    codeConfiguration Property Map
    Code configuration for the endpoint deployment.
    description String
    Description of the endpoint deployment.
    environmentId String
    ARM resource ID of the environment specification for the endpoint deployment.
    environmentVariables Map<String>
    Environment variables configuration for the deployment.
    instanceType String
    Compute instance type.
    livenessProbe Property Map
    Deployment container liveness/readiness probe configuration.
    model Property Map | Property Map | Property Map
    Reference to the model asset for the endpoint deployment.
    properties Map<String>
    Property dictionary. Properties can be added, but not removed or altered.
    readinessProbe Property Map
    Deployment container liveness/readiness probe configuration.
    requestSettings Property Map
    Online deployment scoring requests configuration.
    scaleSettings Property Map | Property Map
    Online deployment scaling configuration.

    ManagedOnlineDeploymentResponse, ManagedOnlineDeploymentResponseArgs

    ProvisioningState string
    Provisioning state for the endpoint deployment.
    AppInsightsEnabled bool
    If true, enables Application Insights logging.
    CodeConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.CodeConfigurationResponse
    Code configuration for the endpoint deployment.
    Description string
    Description of the endpoint deployment.
    EnvironmentId string
    ARM resource ID of the environment specification for the endpoint deployment.
    EnvironmentVariables Dictionary<string, string>
    Environment variables configuration for the deployment.
    InstanceType string
    Compute instance type.
    LivenessProbe Pulumi.AzureNative.MachineLearningServices.Inputs.ProbeSettingsResponse
    Deployment container liveness/readiness probe configuration.
    Model Pulumi.AzureNative.MachineLearningServices.Inputs.DataPathAssetReferenceResponse | Pulumi.AzureNative.MachineLearningServices.Inputs.IdAssetReferenceResponse | Pulumi.AzureNative.MachineLearningServices.Inputs.OutputPathAssetReferenceResponse
    Reference to the model asset for the endpoint deployment.
    Properties Dictionary<string, string>
    Property dictionary. Properties can be added, but not removed or altered.
    ReadinessProbe Pulumi.AzureNative.MachineLearningServices.Inputs.ProbeSettingsResponse
    Deployment container liveness/readiness probe configuration.
    RequestSettings Pulumi.AzureNative.MachineLearningServices.Inputs.OnlineRequestSettingsResponse
    Online deployment scoring requests configuration.
    ScaleSettings Pulumi.AzureNative.MachineLearningServices.Inputs.AutoScaleSettingsResponse | Pulumi.AzureNative.MachineLearningServices.Inputs.ManualScaleSettingsResponse
    Online deployment scaling configuration.
    ProvisioningState string
    Provisioning state for the endpoint deployment.
    AppInsightsEnabled bool
    If true, enables Application Insights logging.
    CodeConfiguration CodeConfigurationResponse
    Code configuration for the endpoint deployment.
    Description string
    Description of the endpoint deployment.
    EnvironmentId string
    ARM resource ID of the environment specification for the endpoint deployment.
    EnvironmentVariables map[string]string
    Environment variables configuration for the deployment.
    InstanceType string
    Compute instance type.
    LivenessProbe ProbeSettingsResponse
    Deployment container liveness/readiness probe configuration.
    Model DataPathAssetReferenceResponse | IdAssetReferenceResponse | OutputPathAssetReferenceResponse
    Reference to the model asset for the endpoint deployment.
    Properties map[string]string
    Property dictionary. Properties can be added, but not removed or altered.
    ReadinessProbe ProbeSettingsResponse
    Deployment container liveness/readiness probe configuration.
    RequestSettings OnlineRequestSettingsResponse
    Online deployment scoring requests configuration.
    ScaleSettings AutoScaleSettingsResponse | ManualScaleSettingsResponse
    Online deployment scaling configuration.
    provisioningState String
    Provisioning state for the endpoint deployment.
    appInsightsEnabled Boolean
    If true, enables Application Insights logging.
    codeConfiguration CodeConfigurationResponse
    Code configuration for the endpoint deployment.
    description String
    Description of the endpoint deployment.
    environmentId String
    ARM resource ID of the environment specification for the endpoint deployment.
    environmentVariables Map<String,String>
    Environment variables configuration for the deployment.
    instanceType String
    Compute instance type.
    livenessProbe ProbeSettingsResponse
    Deployment container liveness/readiness probe configuration.
    model DataPathAssetReferenceResponse | IdAssetReferenceResponse | OutputPathAssetReferenceResponse
    Reference to the model asset for the endpoint deployment.
    properties Map<String,String>
    Property dictionary. Properties can be added, but not removed or altered.
    readinessProbe ProbeSettingsResponse
    Deployment container liveness/readiness probe configuration.
    requestSettings OnlineRequestSettingsResponse
    Online deployment scoring requests configuration.
    scaleSettings AutoScaleSettingsResponse | ManualScaleSettingsResponse
    Online deployment scaling configuration.
    provisioningState string
    Provisioning state for the endpoint deployment.
    appInsightsEnabled boolean
    If true, enables Application Insights logging.
    codeConfiguration CodeConfigurationResponse
    Code configuration for the endpoint deployment.
    description string
    Description of the endpoint deployment.
    environmentId string
    ARM resource ID of the environment specification for the endpoint deployment.
    environmentVariables {[key: string]: string}
    Environment variables configuration for the deployment.
    instanceType string
    Compute instance type.
    livenessProbe ProbeSettingsResponse
    Deployment container liveness/readiness probe configuration.
    model DataPathAssetReferenceResponse | IdAssetReferenceResponse | OutputPathAssetReferenceResponse
    Reference to the model asset for the endpoint deployment.
    properties {[key: string]: string}
    Property dictionary. Properties can be added, but not removed or altered.
    readinessProbe ProbeSettingsResponse
    Deployment container liveness/readiness probe configuration.
    requestSettings OnlineRequestSettingsResponse
    Online deployment scoring requests configuration.
    scaleSettings AutoScaleSettingsResponse | ManualScaleSettingsResponse
    Online deployment scaling configuration.
    provisioning_state str
    Provisioning state for the endpoint deployment.
    app_insights_enabled bool
    If true, enables Application Insights logging.
    code_configuration CodeConfigurationResponse
    Code configuration for the endpoint deployment.
    description str
    Description of the endpoint deployment.
    environment_id str
    ARM resource ID of the environment specification for the endpoint deployment.
    environment_variables Mapping[str, str]
    Environment variables configuration for the deployment.
    instance_type str
    Compute instance type.
    liveness_probe ProbeSettingsResponse
    Deployment container liveness/readiness probe configuration.
    model DataPathAssetReferenceResponse | IdAssetReferenceResponse | OutputPathAssetReferenceResponse
    Reference to the model asset for the endpoint deployment.
    properties Mapping[str, str]
    Property dictionary. Properties can be added, but not removed or altered.
    readiness_probe ProbeSettingsResponse
    Deployment container liveness/readiness probe configuration.
    request_settings OnlineRequestSettingsResponse
    Online deployment scoring requests configuration.
    scale_settings AutoScaleSettingsResponse | ManualScaleSettingsResponse
    Online deployment scaling configuration.
    provisioningState String
    Provisioning state for the endpoint deployment.
    appInsightsEnabled Boolean
    If true, enables Application Insights logging.
    codeConfiguration Property Map
    Code configuration for the endpoint deployment.
    description String
    Description of the endpoint deployment.
    environmentId String
    ARM resource ID of the environment specification for the endpoint deployment.
    environmentVariables Map<String>
    Environment variables configuration for the deployment.
    instanceType String
    Compute instance type.
    livenessProbe Property Map
    Deployment container liveness/readiness probe configuration.
    model Property Map | Property Map | Property Map
    Reference to the model asset for the endpoint deployment.
    properties Map<String>
    Property dictionary. Properties can be added, but not removed or altered.
    readinessProbe Property Map
    Deployment container liveness/readiness probe configuration.
    requestSettings Property Map
    Online deployment scoring requests configuration.
    scaleSettings Property Map | Property Map
    Online deployment scaling configuration.

    ManualScaleSettings, ManualScaleSettingsArgs

    InstanceCount int
    Fixed number of instances for this deployment.
    MaxInstances int
    Maximum number of instances for this deployment.
    MinInstances int
    Minimum number of instances for this deployment.
    InstanceCount int
    Fixed number of instances for this deployment.
    MaxInstances int
    Maximum number of instances for this deployment.
    MinInstances int
    Minimum number of instances for this deployment.
    instanceCount Integer
    Fixed number of instances for this deployment.
    maxInstances Integer
    Maximum number of instances for this deployment.
    minInstances Integer
    Minimum number of instances for this deployment.
    instanceCount number
    Fixed number of instances for this deployment.
    maxInstances number
    Maximum number of instances for this deployment.
    minInstances number
    Minimum number of instances for this deployment.
    instance_count int
    Fixed number of instances for this deployment.
    max_instances int
    Maximum number of instances for this deployment.
    min_instances int
    Minimum number of instances for this deployment.
    instanceCount Number
    Fixed number of instances for this deployment.
    maxInstances Number
    Maximum number of instances for this deployment.
    minInstances Number
    Minimum number of instances for this deployment.

    ManualScaleSettingsResponse, ManualScaleSettingsResponseArgs

    InstanceCount int
    Fixed number of instances for this deployment.
    MaxInstances int
    Maximum number of instances for this deployment.
    MinInstances int
    Minimum number of instances for this deployment.
    InstanceCount int
    Fixed number of instances for this deployment.
    MaxInstances int
    Maximum number of instances for this deployment.
    MinInstances int
    Minimum number of instances for this deployment.
    instanceCount Integer
    Fixed number of instances for this deployment.
    maxInstances Integer
    Maximum number of instances for this deployment.
    minInstances Integer
    Minimum number of instances for this deployment.
    instanceCount number
    Fixed number of instances for this deployment.
    maxInstances number
    Maximum number of instances for this deployment.
    minInstances number
    Minimum number of instances for this deployment.
    instance_count int
    Fixed number of instances for this deployment.
    max_instances int
    Maximum number of instances for this deployment.
    min_instances int
    Minimum number of instances for this deployment.
    instanceCount Number
    Fixed number of instances for this deployment.
    maxInstances Number
    Maximum number of instances for this deployment.
    minInstances Number
    Minimum number of instances for this deployment.

    OnlineRequestSettings, OnlineRequestSettingsArgs

    MaxConcurrentRequestsPerInstance int
    The number of requests allowed to queue at once for this deployment.
    MaxQueueWait string
    The maximum queue wait time in ISO 8601 format. Supports millisecond precision.
    RequestTimeout string
    The request timeout in ISO 8601 format. Supports millisecond precision.
    MaxConcurrentRequestsPerInstance int
    The number of requests allowed to queue at once for this deployment.
    MaxQueueWait string
    The maximum queue wait time in ISO 8601 format. Supports millisecond precision.
    RequestTimeout string
    The request timeout in ISO 8601 format. Supports millisecond precision.
    maxConcurrentRequestsPerInstance Integer
    The number of requests allowed to queue at once for this deployment.
    maxQueueWait String
    The maximum queue wait time in ISO 8601 format. Supports millisecond precision.
    requestTimeout String
    The request timeout in ISO 8601 format. Supports millisecond precision.
    maxConcurrentRequestsPerInstance number
    The number of requests allowed to queue at once for this deployment.
    maxQueueWait string
    The maximum queue wait time in ISO 8601 format. Supports millisecond precision.
    requestTimeout string
    The request timeout in ISO 8601 format. Supports millisecond precision.
    max_concurrent_requests_per_instance int
    The number of requests allowed to queue at once for this deployment.
    max_queue_wait str
    The maximum queue wait time in ISO 8601 format. Supports millisecond precision.
    request_timeout str
    The request timeout in ISO 8601 format. Supports millisecond precision.
    maxConcurrentRequestsPerInstance Number
    The number of requests allowed to queue at once for this deployment.
    maxQueueWait String
    The maximum queue wait time in ISO 8601 format. Supports millisecond precision.
    requestTimeout String
    The request timeout in ISO 8601 format. Supports millisecond precision.

    OnlineRequestSettingsResponse, OnlineRequestSettingsResponseArgs

    MaxConcurrentRequestsPerInstance int
    The number of requests allowed to queue at once for this deployment.
    MaxQueueWait string
    The maximum queue wait time in ISO 8601 format. Supports millisecond precision.
    RequestTimeout string
    The request timeout in ISO 8601 format. Supports millisecond precision.
    MaxConcurrentRequestsPerInstance int
    The number of requests allowed to queue at once for this deployment.
    MaxQueueWait string
    The maximum queue wait time in ISO 8601 format. Supports millisecond precision.
    RequestTimeout string
    The request timeout in ISO 8601 format. Supports millisecond precision.
    maxConcurrentRequestsPerInstance Integer
    The number of requests allowed to queue at once for this deployment.
    maxQueueWait String
    The maximum queue wait time in ISO 8601 format. Supports millisecond precision.
    requestTimeout String
    The request timeout in ISO 8601 format. Supports millisecond precision.
    maxConcurrentRequestsPerInstance number
    The number of requests allowed to queue at once for this deployment.
    maxQueueWait string
    The maximum queue wait time in ISO 8601 format. Supports millisecond precision.
    requestTimeout string
    The request timeout in ISO 8601 format. Supports millisecond precision.
    max_concurrent_requests_per_instance int
    The number of requests allowed to queue at once for this deployment.
    max_queue_wait str
    The maximum queue wait time in ISO 8601 format. Supports millisecond precision.
    request_timeout str
    The request timeout in ISO 8601 format. Supports millisecond precision.
    maxConcurrentRequestsPerInstance Number
    The number of requests allowed to queue at once for this deployment.
    maxQueueWait String
    The maximum queue wait time in ISO 8601 format. Supports millisecond precision.
    requestTimeout String
    The request timeout in ISO 8601 format. Supports millisecond precision.

    OutputPathAssetReference, OutputPathAssetReferenceArgs

    JobId string
    ARM resource ID of the job.
    Path string
    The path of the file/directory in the job output.
    JobId string
    ARM resource ID of the job.
    Path string
    The path of the file/directory in the job output.
    jobId String
    ARM resource ID of the job.
    path String
    The path of the file/directory in the job output.
    jobId string
    ARM resource ID of the job.
    path string
    The path of the file/directory in the job output.
    job_id str
    ARM resource ID of the job.
    path str
    The path of the file/directory in the job output.
    jobId String
    ARM resource ID of the job.
    path String
    The path of the file/directory in the job output.

    OutputPathAssetReferenceResponse, OutputPathAssetReferenceResponseArgs

    JobId string
    ARM resource ID of the job.
    Path string
    The path of the file/directory in the job output.
    JobId string
    ARM resource ID of the job.
    Path string
    The path of the file/directory in the job output.
    jobId String
    ARM resource ID of the job.
    path String
    The path of the file/directory in the job output.
    jobId string
    ARM resource ID of the job.
    path string
    The path of the file/directory in the job output.
    job_id str
    ARM resource ID of the job.
    path str
    The path of the file/directory in the job output.
    jobId String
    ARM resource ID of the job.
    path String
    The path of the file/directory in the job output.

    ProbeSettings, ProbeSettingsArgs

    FailureThreshold int
    The number of failures to allow before returning an unhealthy status.
    InitialDelay string
    The delay before the first probe in ISO 8601 format.
    Period string
    The length of time between probes in ISO 8601 format.
    SuccessThreshold int
    The number of successful probes before returning a healthy status.
    Timeout string
    The probe timeout in ISO 8601 format.
    FailureThreshold int
    The number of failures to allow before returning an unhealthy status.
    InitialDelay string
    The delay before the first probe in ISO 8601 format.
    Period string
    The length of time between probes in ISO 8601 format.
    SuccessThreshold int
    The number of successful probes before returning a healthy status.
    Timeout string
    The probe timeout in ISO 8601 format.
    failureThreshold Integer
    The number of failures to allow before returning an unhealthy status.
    initialDelay String
    The delay before the first probe in ISO 8601 format.
    period String
    The length of time between probes in ISO 8601 format.
    successThreshold Integer
    The number of successful probes before returning a healthy status.
    timeout String
    The probe timeout in ISO 8601 format.
    failureThreshold number
    The number of failures to allow before returning an unhealthy status.
    initialDelay string
    The delay before the first probe in ISO 8601 format.
    period string
    The length of time between probes in ISO 8601 format.
    successThreshold number
    The number of successful probes before returning a healthy status.
    timeout string
    The probe timeout in ISO 8601 format.
    failure_threshold int
    The number of failures to allow before returning an unhealthy status.
    initial_delay str
    The delay before the first probe in ISO 8601 format.
    period str
    The length of time between probes in ISO 8601 format.
    success_threshold int
    The number of successful probes before returning a healthy status.
    timeout str
    The probe timeout in ISO 8601 format.
    failureThreshold Number
    The number of failures to allow before returning an unhealthy status.
    initialDelay String
    The delay before the first probe in ISO 8601 format.
    period String
    The length of time between probes in ISO 8601 format.
    successThreshold Number
    The number of successful probes before returning a healthy status.
    timeout String
    The probe timeout in ISO 8601 format.

    ProbeSettingsResponse, ProbeSettingsResponseArgs

    FailureThreshold int
    The number of failures to allow before returning an unhealthy status.
    InitialDelay string
    The delay before the first probe in ISO 8601 format.
    Period string
    The length of time between probes in ISO 8601 format.
    SuccessThreshold int
    The number of successful probes before returning a healthy status.
    Timeout string
    The probe timeout in ISO 8601 format.
    FailureThreshold int
    The number of failures to allow before returning an unhealthy status.
    InitialDelay string
    The delay before the first probe in ISO 8601 format.
    Period string
    The length of time between probes in ISO 8601 format.
    SuccessThreshold int
    The number of successful probes before returning a healthy status.
    Timeout string
    The probe timeout in ISO 8601 format.
    failureThreshold Integer
    The number of failures to allow before returning an unhealthy status.
    initialDelay String
    The delay before the first probe in ISO 8601 format.
    period String
    The length of time between probes in ISO 8601 format.
    successThreshold Integer
    The number of successful probes before returning a healthy status.
    timeout String
    The probe timeout in ISO 8601 format.
    failureThreshold number
    The number of failures to allow before returning an unhealthy status.
    initialDelay string
    The delay before the first probe in ISO 8601 format.
    period string
    The length of time between probes in ISO 8601 format.
    successThreshold number
    The number of successful probes before returning a healthy status.
    timeout string
    The probe timeout in ISO 8601 format.
    failure_threshold int
    The number of failures to allow before returning an unhealthy status.
    initial_delay str
    The delay before the first probe in ISO 8601 format.
    period str
    The length of time between probes in ISO 8601 format.
    success_threshold int
    The number of successful probes before returning a healthy status.
    timeout str
    The probe timeout in ISO 8601 format.
    failureThreshold Number
    The number of failures to allow before returning an unhealthy status.
    initialDelay String
    The delay before the first probe in ISO 8601 format.
    period String
    The length of time between probes in ISO 8601 format.
    successThreshold Number
    The number of successful probes before returning a healthy status.
    timeout String
    The probe timeout in ISO 8601 format.

    ResourceIdentity, ResourceIdentityArgs

    Type string | Pulumi.AzureNative.MachineLearningServices.ResourceIdentityAssignment
    Defines values for a ResourceIdentity's type.
    UserAssignedIdentities Dictionary<string, Pulumi.AzureNative.MachineLearningServices.Inputs.UserAssignedIdentityMeta>
    Dictionary of the user assigned identities, key is ARM resource ID of the UAI.
    Type string | ResourceIdentityAssignment
    Defines values for a ResourceIdentity's type.
    UserAssignedIdentities map[string]UserAssignedIdentityMeta
    Dictionary of the user assigned identities, key is ARM resource ID of the UAI.
    type String | ResourceIdentityAssignment
    Defines values for a ResourceIdentity's type.
    userAssignedIdentities Map<String,UserAssignedIdentityMeta>
    Dictionary of the user assigned identities, key is ARM resource ID of the UAI.
    type string | ResourceIdentityAssignment
    Defines values for a ResourceIdentity's type.
    userAssignedIdentities {[key: string]: UserAssignedIdentityMeta}
    Dictionary of the user assigned identities, key is ARM resource ID of the UAI.
    type str | ResourceIdentityAssignment
    Defines values for a ResourceIdentity's type.
    user_assigned_identities Mapping[str, UserAssignedIdentityMeta]
    Dictionary of the user assigned identities, key is ARM resource ID of the UAI.
    type String | "SystemAssigned" | "UserAssigned" | "SystemAssigned,UserAssigned" | "None"
    Defines values for a ResourceIdentity's type.
    userAssignedIdentities Map<Property Map>
    Dictionary of the user assigned identities, key is ARM resource ID of the UAI.

    ResourceIdentityAssignment, ResourceIdentityAssignmentArgs

    SystemAssigned
    SystemAssigned
    UserAssigned
    UserAssigned
    SystemAssigned_UserAssigned
    SystemAssigned,UserAssigned
    None
    None
    ResourceIdentityAssignmentSystemAssigned
    SystemAssigned
    ResourceIdentityAssignmentUserAssigned
    UserAssigned
    ResourceIdentityAssignment_SystemAssigned_UserAssigned
    SystemAssigned,UserAssigned
    ResourceIdentityAssignmentNone
    None
    SystemAssigned
    SystemAssigned
    UserAssigned
    UserAssigned
    SystemAssigned_UserAssigned
    SystemAssigned,UserAssigned
    None
    None
    SystemAssigned
    SystemAssigned
    UserAssigned
    UserAssigned
    SystemAssigned_UserAssigned
    SystemAssigned,UserAssigned
    None
    None
    SYSTEM_ASSIGNED
    SystemAssigned
    USER_ASSIGNED
    UserAssigned
    SYSTEM_ASSIGNED_USER_ASSIGNED
    SystemAssigned,UserAssigned
    NONE
    None
    "SystemAssigned"
    SystemAssigned
    "UserAssigned"
    UserAssigned
    "SystemAssigned,UserAssigned"
    SystemAssigned,UserAssigned
    "None"
    None

    ResourceIdentityResponse, ResourceIdentityResponseArgs

    PrincipalId string
    Client ID that is used when authenticating.
    TenantId string
    AAD Tenant where this identity lives.
    Type string
    Defines values for a ResourceIdentity's type.
    UserAssignedIdentities Dictionary<string, Pulumi.AzureNative.MachineLearningServices.Inputs.UserAssignedIdentityMetaResponse>
    Dictionary of the user assigned identities, key is ARM resource ID of the UAI.
    PrincipalId string
    Client ID that is used when authenticating.
    TenantId string
    AAD Tenant where this identity lives.
    Type string
    Defines values for a ResourceIdentity's type.
    UserAssignedIdentities map[string]UserAssignedIdentityMetaResponse
    Dictionary of the user assigned identities, key is ARM resource ID of the UAI.
    principalId String
    Client ID that is used when authenticating.
    tenantId String
    AAD Tenant where this identity lives.
    type String
    Defines values for a ResourceIdentity's type.
    userAssignedIdentities Map<String,UserAssignedIdentityMetaResponse>
    Dictionary of the user assigned identities, key is ARM resource ID of the UAI.
    principalId string
    Client ID that is used when authenticating.
    tenantId string
    AAD Tenant where this identity lives.
    type string
    Defines values for a ResourceIdentity's type.
    userAssignedIdentities {[key: string]: UserAssignedIdentityMetaResponse}
    Dictionary of the user assigned identities, key is ARM resource ID of the UAI.
    principal_id str
    Client ID that is used when authenticating.
    tenant_id str
    AAD Tenant where this identity lives.
    type str
    Defines values for a ResourceIdentity's type.
    user_assigned_identities Mapping[str, UserAssignedIdentityMetaResponse]
    Dictionary of the user assigned identities, key is ARM resource ID of the UAI.
    principalId String
    Client ID that is used when authenticating.
    tenantId String
    AAD Tenant where this identity lives.
    type String
    Defines values for a ResourceIdentity's type.
    userAssignedIdentities Map<Property Map>
    Dictionary of the user assigned identities, key is ARM resource ID of the UAI.

    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

    UserAssignedIdentityMeta, UserAssignedIdentityMetaArgs

    ClientId string
    Aka application ID, a unique identifier generated by Azure AD that is tied to an application and service principal during its initial provisioning.
    PrincipalId string
    The object ID of the service principal object for your managed identity that is used to grant role-based access to an Azure resource.
    ClientId string
    Aka application ID, a unique identifier generated by Azure AD that is tied to an application and service principal during its initial provisioning.
    PrincipalId string
    The object ID of the service principal object for your managed identity that is used to grant role-based access to an Azure resource.
    clientId String
    Aka application ID, a unique identifier generated by Azure AD that is tied to an application and service principal during its initial provisioning.
    principalId String
    The object ID of the service principal object for your managed identity that is used to grant role-based access to an Azure resource.
    clientId string
    Aka application ID, a unique identifier generated by Azure AD that is tied to an application and service principal during its initial provisioning.
    principalId string
    The object ID of the service principal object for your managed identity that is used to grant role-based access to an Azure resource.
    client_id str
    Aka application ID, a unique identifier generated by Azure AD that is tied to an application and service principal during its initial provisioning.
    principal_id str
    The object ID of the service principal object for your managed identity that is used to grant role-based access to an Azure resource.
    clientId String
    Aka application ID, a unique identifier generated by Azure AD that is tied to an application and service principal during its initial provisioning.
    principalId String
    The object ID of the service principal object for your managed identity that is used to grant role-based access to an Azure resource.

    UserAssignedIdentityMetaResponse, UserAssignedIdentityMetaResponseArgs

    ClientId string
    Aka application ID, a unique identifier generated by Azure AD that is tied to an application and service principal during its initial provisioning.
    PrincipalId string
    The object ID of the service principal object for your managed identity that is used to grant role-based access to an Azure resource.
    ClientId string
    Aka application ID, a unique identifier generated by Azure AD that is tied to an application and service principal during its initial provisioning.
    PrincipalId string
    The object ID of the service principal object for your managed identity that is used to grant role-based access to an Azure resource.
    clientId String
    Aka application ID, a unique identifier generated by Azure AD that is tied to an application and service principal during its initial provisioning.
    principalId String
    The object ID of the service principal object for your managed identity that is used to grant role-based access to an Azure resource.
    clientId string
    Aka application ID, a unique identifier generated by Azure AD that is tied to an application and service principal during its initial provisioning.
    principalId string
    The object ID of the service principal object for your managed identity that is used to grant role-based access to an Azure resource.
    client_id str
    Aka application ID, a unique identifier generated by Azure AD that is tied to an application and service principal during its initial provisioning.
    principal_id str
    The object ID of the service principal object for your managed identity that is used to grant role-based access to an Azure resource.
    clientId String
    Aka application ID, a unique identifier generated by Azure AD that is tied to an application and service principal during its initial provisioning.
    principalId String
    The object ID of the service principal object for your managed identity that is used to grant role-based access to an Azure resource.

    Import

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

    $ pulumi import azure-native:machinelearningservices:OnlineDeployment testDeployment /subscriptions/00000000-1111-2222-3333-444444444444/resourceGroups/testrg123/providers/Microsoft.MachineLearningServices/workspaces/testworkspace/onlineEndpoints/testEndpoint/deployments/testDeployment

    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