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This is the latest version of Azure Native. Use the Azure Native v2 docs if using the v2 version of this package.
Azure Native v3.3.0 published on Monday, Apr 28, 2025 by Pulumi
pulumi/pulumi-azure-native

azure-native.machinelearningservices.OnlineDeployment

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This is the latest version of Azure Native. Use the Azure Native v2 docs if using the v2 version of this package.
Azure Native v3.3.0 published on Monday, Apr 28, 2025 by Pulumi
pulumi/pulumi-azure-native

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

    Other available API versions: 2021-03-01-preview, 2022-02-01-preview, 2022-05-01, 2022-06-01-preview, 2022-10-01, 2022-10-01-preview, 2022-12-01-preview, 2023-02-01-preview, 2023-04-01, 2023-04-01-preview, 2023-06-01-preview, 2023-08-01-preview, 2023-10-01, 2024-01-01-preview, 2024-04-01, 2024-07-01-preview, 2024-10-01-preview, 2025-01-01-preview. These can be accessed by generating a local SDK package using the CLI command pulumi package add azure-native machinelearningservices [ApiVersion]. See the version guide for details.

    Import

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

    $ pulumi import azure-native:machinelearningservices:OnlineDeployment string /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/onlineEndpoints/{endpointName}/deployments/{deploymentName}

    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,
                     online_deployment_properties: Optional[Union[KubernetesOnlineDeploymentArgs, ManagedOnlineDeploymentArgs]] = None,
                     resource_group_name: Optional[str] = None,
                     workspace_name: Optional[str] = None,
                     deployment_name: Optional[str] = None,
                     identity: Optional[ManagedServiceIdentityArgs] = None,
                     kind: Optional[str] = None,
                     location: Optional[str] = None,
                     sku: Optional[SkuArgs] = 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",
    OnlineDeploymentProperties = new AzureNative.MachineLearningServices.Inputs.KubernetesOnlineDeploymentArgs
    {
        EndpointComputeType = "Kubernetes",
        EnvironmentVariables = 
        {
            { "string", "string" },
        },
        LivenessProbe = new AzureNative.MachineLearningServices.Inputs.ProbeSettingsArgs
        {
            FailureThreshold = 0,
            InitialDelay = "string",
            Period = "string",
            SuccessThreshold = 0,
            Timeout = "string",
        },
        DataCollector = new AzureNative.MachineLearningServices.Inputs.DataCollectorArgs
        {
            Collections = 
            {
                { "string", new AzureNative.MachineLearningServices.Inputs.CollectionArgs
                {
                    ClientId = "string",
                    DataCollectionMode = "string",
                    DataId = "string",
                    SamplingRate = 0,
                } },
            },
            RequestLogging = new AzureNative.MachineLearningServices.Inputs.RequestLoggingArgs
            {
                CaptureHeaders = new[]
                {
                    "string",
                },
            },
            RollingRate = "string",
        },
        Description = "string",
        EgressPublicNetworkAccess = "string",
        CodeConfiguration = new AzureNative.MachineLearningServices.Inputs.CodeConfigurationArgs
        {
            ScoringScript = "string",
            CodeId = "string",
        },
        EnvironmentId = "string",
        AppInsightsEnabled = false,
        ContainerResourceRequirements = new AzureNative.MachineLearningServices.Inputs.ContainerResourceRequirementsArgs
        {
            ContainerResourceLimits = new AzureNative.MachineLearningServices.Inputs.ContainerResourceSettingsArgs
            {
                Cpu = "string",
                Gpu = "string",
                Memory = "string",
            },
            ContainerResourceRequests = new AzureNative.MachineLearningServices.Inputs.ContainerResourceSettingsArgs
            {
                Cpu = "string",
                Gpu = "string",
                Memory = "string",
            },
        },
        Model = "string",
        InstanceType = "string",
        ModelMountPath = "string",
        Properties = 
        {
            { "string", "string" },
        },
        ReadinessProbe = new AzureNative.MachineLearningServices.Inputs.ProbeSettingsArgs
        {
            FailureThreshold = 0,
            InitialDelay = "string",
            Period = "string",
            SuccessThreshold = 0,
            Timeout = "string",
        },
        RequestSettings = new AzureNative.MachineLearningServices.Inputs.OnlineRequestSettingsArgs
        {
            MaxConcurrentRequestsPerInstance = 0,
            MaxQueueWait = "string",
            RequestTimeout = "string",
        },
        ScaleSettings = new AzureNative.MachineLearningServices.Inputs.DefaultScaleSettingsArgs
        {
            ScaleType = "Default",
        },
        StartupProbe = new AzureNative.MachineLearningServices.Inputs.ProbeSettingsArgs
        {
            FailureThreshold = 0,
            InitialDelay = "string",
            Period = "string",
            SuccessThreshold = 0,
            Timeout = "string",
        },
    },
    ResourceGroupName = "string",
    WorkspaceName = "string",
    DeploymentName = "string",
    Identity = new AzureNative.MachineLearningServices.Inputs.ManagedServiceIdentityArgs
    {
        Type = "string",
        UserAssignedIdentities = new[]
        {
            "string",
        },
    },
    Kind = "string",
    Location = "string",
    Sku = new AzureNative.MachineLearningServices.Inputs.SkuArgs
    {
        Name = "string",
        Capacity = 0,
        Family = "string",
        Size = "string",
        Tier = AzureNative.MachineLearningServices.SkuTier.Free,
    },
    Tags = 
    {
        { "string", "string" },
    },
});

    example, err := machinelearningservices.NewOnlineDeployment(ctx, "onlineDeploymentResource", &machinelearningservices.OnlineDeploymentArgs{
	EndpointName: pulumi.String("string"),
	OnlineDeploymentProperties: &machinelearningservices.KubernetesOnlineDeploymentArgs{
		EndpointComputeType: pulumi.String("Kubernetes"),
		EnvironmentVariables: pulumi.StringMap{
			"string": pulumi.String("string"),
		},
		LivenessProbe: &machinelearningservices.ProbeSettingsArgs{
			FailureThreshold: pulumi.Int(0),
			InitialDelay:     pulumi.String("string"),
			Period:           pulumi.String("string"),
			SuccessThreshold: pulumi.Int(0),
			Timeout:          pulumi.String("string"),
		},
		DataCollector: &machinelearningservices.DataCollectorArgs{
			Collections: machinelearningservices.CollectionMap{
				"string": &machinelearningservices.CollectionArgs{
					ClientId:           pulumi.String("string"),
					DataCollectionMode: pulumi.String("string"),
					DataId:             pulumi.String("string"),
					SamplingRate:       pulumi.Float64(0),
				},
			},
			RequestLogging: &machinelearningservices.RequestLoggingArgs{
				CaptureHeaders: pulumi.StringArray{
					pulumi.String("string"),
				},
			},
			RollingRate: pulumi.String("string"),
		},
		Description:               pulumi.String("string"),
		EgressPublicNetworkAccess: pulumi.String("string"),
		CodeConfiguration: &machinelearningservices.CodeConfigurationArgs{
			ScoringScript: pulumi.String("string"),
			CodeId:        pulumi.String("string"),
		},
		EnvironmentId:      pulumi.String("string"),
		AppInsightsEnabled: pulumi.Bool(false),
		ContainerResourceRequirements: &machinelearningservices.ContainerResourceRequirementsArgs{
			ContainerResourceLimits: &machinelearningservices.ContainerResourceSettingsArgs{
				Cpu:    pulumi.String("string"),
				Gpu:    pulumi.String("string"),
				Memory: pulumi.String("string"),
			},
			ContainerResourceRequests: &machinelearningservices.ContainerResourceSettingsArgs{
				Cpu:    pulumi.String("string"),
				Gpu:    pulumi.String("string"),
				Memory: pulumi.String("string"),
			},
		},
		Model:          pulumi.String("string"),
		InstanceType:   pulumi.String("string"),
		ModelMountPath: pulumi.String("string"),
		Properties: pulumi.StringMap{
			"string": pulumi.String("string"),
		},
		ReadinessProbe: &machinelearningservices.ProbeSettingsArgs{
			FailureThreshold: pulumi.Int(0),
			InitialDelay:     pulumi.String("string"),
			Period:           pulumi.String("string"),
			SuccessThreshold: pulumi.Int(0),
			Timeout:          pulumi.String("string"),
		},
		RequestSettings: &machinelearningservices.OnlineRequestSettingsArgs{
			MaxConcurrentRequestsPerInstance: pulumi.Int(0),
			MaxQueueWait:                     pulumi.String("string"),
			RequestTimeout:                   pulumi.String("string"),
		},
		ScaleSettings: machinelearningservices.DefaultScaleSettings{
			ScaleType: "Default",
		},
		StartupProbe: &machinelearningservices.ProbeSettingsArgs{
			FailureThreshold: pulumi.Int(0),
			InitialDelay:     pulumi.String("string"),
			Period:           pulumi.String("string"),
			SuccessThreshold: pulumi.Int(0),
			Timeout:          pulumi.String("string"),
		},
	},
	ResourceGroupName: pulumi.String("string"),
	WorkspaceName:     pulumi.String("string"),
	DeploymentName:    pulumi.String("string"),
	Identity: &machinelearningservices.ManagedServiceIdentityArgs{
		Type: pulumi.String("string"),
		UserAssignedIdentities: pulumi.StringArray{
			pulumi.String("string"),
		},
	},
	Kind:     pulumi.String("string"),
	Location: pulumi.String("string"),
	Sku: &machinelearningservices.SkuArgs{
		Name:     pulumi.String("string"),
		Capacity: pulumi.Int(0),
		Family:   pulumi.String("string"),
		Size:     pulumi.String("string"),
		Tier:     machinelearningservices.SkuTierFree,
	},
	Tags: pulumi.StringMap{
		"string": pulumi.String("string"),
	},
})

    var onlineDeploymentResource = new OnlineDeployment("onlineDeploymentResource", OnlineDeploymentArgs.builder()
    .endpointName("string")
    .onlineDeploymentProperties(KubernetesOnlineDeploymentArgs.builder()
        .endpointComputeType("Kubernetes")
        .environmentVariables(Map.of("string", "string"))
        .livenessProbe(ProbeSettingsArgs.builder()
            .failureThreshold(0)
            .initialDelay("string")
            .period("string")
            .successThreshold(0)
            .timeout("string")
            .build())
        .dataCollector(DataCollectorArgs.builder()
            .collections(Map.of("string", Map.ofEntries(
                Map.entry("clientId", "string"),
                Map.entry("dataCollectionMode", "string"),
                Map.entry("dataId", "string"),
                Map.entry("samplingRate", 0)
            )))
            .requestLogging(RequestLoggingArgs.builder()
                .captureHeaders("string")
                .build())
            .rollingRate("string")
            .build())
        .description("string")
        .egressPublicNetworkAccess("string")
        .codeConfiguration(CodeConfigurationArgs.builder()
            .scoringScript("string")
            .codeId("string")
            .build())
        .environmentId("string")
        .appInsightsEnabled(false)
        .containerResourceRequirements(ContainerResourceRequirementsArgs.builder()
            .containerResourceLimits(ContainerResourceSettingsArgs.builder()
                .cpu("string")
                .gpu("string")
                .memory("string")
                .build())
            .containerResourceRequests(ContainerResourceSettingsArgs.builder()
                .cpu("string")
                .gpu("string")
                .memory("string")
                .build())
            .build())
        .model("string")
        .instanceType("string")
        .modelMountPath("string")
        .properties(Map.of("string", "string"))
        .readinessProbe(ProbeSettingsArgs.builder()
            .failureThreshold(0)
            .initialDelay("string")
            .period("string")
            .successThreshold(0)
            .timeout("string")
            .build())
        .requestSettings(OnlineRequestSettingsArgs.builder()
            .maxConcurrentRequestsPerInstance(0)
            .maxQueueWait("string")
            .requestTimeout("string")
            .build())
        .scaleSettings(DefaultScaleSettingsArgs.builder()
            .scaleType("Default")
            .build())
        .startupProbe(ProbeSettingsArgs.builder()
            .failureThreshold(0)
            .initialDelay("string")
            .period("string")
            .successThreshold(0)
            .timeout("string")
            .build())
        .build())
    .resourceGroupName("string")
    .workspaceName("string")
    .deploymentName("string")
    .identity(ManagedServiceIdentityArgs.builder()
        .type("string")
        .userAssignedIdentities("string")
        .build())
    .kind("string")
    .location("string")
    .sku(SkuArgs.builder()
        .name("string")
        .capacity(0)
        .family("string")
        .size("string")
        .tier("Free")
        .build())
    .tags(Map.of("string", "string"))
    .build());

    online_deployment_resource = azure_native.machinelearningservices.OnlineDeployment("onlineDeploymentResource",
    endpoint_name="string",
    online_deployment_properties={
        "endpoint_compute_type": "Kubernetes",
        "environment_variables": {
            "string": "string",
        },
        "liveness_probe": {
            "failure_threshold": 0,
            "initial_delay": "string",
            "period": "string",
            "success_threshold": 0,
            "timeout": "string",
        },
        "data_collector": {
            "collections": {
                "string": {
                    "client_id": "string",
                    "data_collection_mode": "string",
                    "data_id": "string",
                    "sampling_rate": 0,
                },
            },
            "request_logging": {
                "capture_headers": ["string"],
            },
            "rolling_rate": "string",
        },
        "description": "string",
        "egress_public_network_access": "string",
        "code_configuration": {
            "scoring_script": "string",
            "code_id": "string",
        },
        "environment_id": "string",
        "app_insights_enabled": False,
        "container_resource_requirements": {
            "container_resource_limits": {
                "cpu": "string",
                "gpu": "string",
                "memory": "string",
            },
            "container_resource_requests": {
                "cpu": "string",
                "gpu": "string",
                "memory": "string",
            },
        },
        "model": "string",
        "instance_type": "string",
        "model_mount_path": "string",
        "properties": {
            "string": "string",
        },
        "readiness_probe": {
            "failure_threshold": 0,
            "initial_delay": "string",
            "period": "string",
            "success_threshold": 0,
            "timeout": "string",
        },
        "request_settings": {
            "max_concurrent_requests_per_instance": 0,
            "max_queue_wait": "string",
            "request_timeout": "string",
        },
        "scale_settings": {
            "scale_type": "Default",
        },
        "startup_probe": {
            "failure_threshold": 0,
            "initial_delay": "string",
            "period": "string",
            "success_threshold": 0,
            "timeout": "string",
        },
    },
    resource_group_name="string",
    workspace_name="string",
    deployment_name="string",
    identity={
        "type": "string",
        "user_assigned_identities": ["string"],
    },
    kind="string",
    location="string",
    sku={
        "name": "string",
        "capacity": 0,
        "family": "string",
        "size": "string",
        "tier": azure_native.machinelearningservices.SkuTier.FREE,
    },
    tags={
        "string": "string",
    })

    const onlineDeploymentResource = new azure_native.machinelearningservices.OnlineDeployment("onlineDeploymentResource", {
    endpointName: "string",
    onlineDeploymentProperties: {
        endpointComputeType: "Kubernetes",
        environmentVariables: {
            string: "string",
        },
        livenessProbe: {
            failureThreshold: 0,
            initialDelay: "string",
            period: "string",
            successThreshold: 0,
            timeout: "string",
        },
        dataCollector: {
            collections: {
                string: {
                    clientId: "string",
                    dataCollectionMode: "string",
                    dataId: "string",
                    samplingRate: 0,
                },
            },
            requestLogging: {
                captureHeaders: ["string"],
            },
            rollingRate: "string",
        },
        description: "string",
        egressPublicNetworkAccess: "string",
        codeConfiguration: {
            scoringScript: "string",
            codeId: "string",
        },
        environmentId: "string",
        appInsightsEnabled: false,
        containerResourceRequirements: {
            containerResourceLimits: {
                cpu: "string",
                gpu: "string",
                memory: "string",
            },
            containerResourceRequests: {
                cpu: "string",
                gpu: "string",
                memory: "string",
            },
        },
        model: "string",
        instanceType: "string",
        modelMountPath: "string",
        properties: {
            string: "string",
        },
        readinessProbe: {
            failureThreshold: 0,
            initialDelay: "string",
            period: "string",
            successThreshold: 0,
            timeout: "string",
        },
        requestSettings: {
            maxConcurrentRequestsPerInstance: 0,
            maxQueueWait: "string",
            requestTimeout: "string",
        },
        scaleSettings: {
            scaleType: "Default",
        },
        startupProbe: {
            failureThreshold: 0,
            initialDelay: "string",
            period: "string",
            successThreshold: 0,
            timeout: "string",
        },
    },
    resourceGroupName: "string",
    workspaceName: "string",
    deploymentName: "string",
    identity: {
        type: "string",
        userAssignedIdentities: ["string"],
    },
    kind: "string",
    location: "string",
    sku: {
        name: "string",
        capacity: 0,
        family: "string",
        size: "string",
        tier: azure_native.machinelearningservices.SkuTier.Free,
    },
    tags: {
        string: "string",
    },
});

    type: azure-native:machinelearningservices:OnlineDeployment
properties:
    deploymentName: string
    endpointName: string
    identity:
        type: string
        userAssignedIdentities:
            - string
    kind: string
    location: string
    onlineDeploymentProperties:
        appInsightsEnabled: false
        codeConfiguration:
            codeId: string
            scoringScript: string
        containerResourceRequirements:
            containerResourceLimits:
                cpu: string
                gpu: string
                memory: string
            containerResourceRequests:
                cpu: string
                gpu: string
                memory: string
        dataCollector:
            collections:
                string:
                    clientId: string
                    dataCollectionMode: string
                    dataId: string
                    samplingRate: 0
            requestLogging:
                captureHeaders:
                    - string
            rollingRate: string
        description: string
        egressPublicNetworkAccess: string
        endpointComputeType: Kubernetes
        environmentId: string
        environmentVariables:
            string: string
        instanceType: string
        livenessProbe:
            failureThreshold: 0
            initialDelay: string
            period: string
            successThreshold: 0
            timeout: string
        model: string
        modelMountPath: string
        properties:
            string: string
        readinessProbe:
            failureThreshold: 0
            initialDelay: string
            period: string
            successThreshold: 0
            timeout: string
        requestSettings:
            maxConcurrentRequestsPerInstance: 0
            maxQueueWait: string
            requestTimeout: string
        scaleSettings:
            scaleType: Default
        startupProbe:
            failureThreshold: 0
            initialDelay: string
            period: string
            successThreshold: 0
            timeout: string
    resourceGroupName: string
    sku:
        capacity: 0
        family: string
        name: string
        size: string
        tier: Free
    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

    In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.

    The OnlineDeployment resource accepts the following input properties:

    EndpointName string
    Inference endpoint name.
    OnlineDeploymentProperties Pulumi.AzureNative.MachineLearningServices.Inputs.KubernetesOnlineDeployment | 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.ManagedServiceIdentity
    Managed service identity (system assigned and/or user assigned identities)
    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
    Sku Pulumi.AzureNative.MachineLearningServices.Inputs.Sku
    Sku details required for ARM contract for Autoscaling.
    Tags Dictionary<string, string>
    Resource tags.
    EndpointName string
    Inference endpoint name.
    OnlineDeploymentProperties KubernetesOnlineDeploymentArgs | 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 ManagedServiceIdentityArgs
    Managed service identity (system assigned and/or user assigned identities)
    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
    Sku SkuArgs
    Sku details required for ARM contract for Autoscaling.
    Tags map[string]string
    Resource tags.
    endpointName String
    Inference endpoint name.
    onlineDeploymentProperties KubernetesOnlineDeployment | 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 ManagedServiceIdentity
    Managed service identity (system assigned and/or user assigned identities)
    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
    sku Sku
    Sku details required for ARM contract for Autoscaling.
    tags Map<String,String>
    Resource tags.
    endpointName string
    Inference endpoint name.
    onlineDeploymentProperties KubernetesOnlineDeployment | 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 ManagedServiceIdentity
    Managed service identity (system assigned and/or user assigned identities)
    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
    sku Sku
    Sku details required for ARM contract for Autoscaling.
    tags {[key: string]: string}
    Resource tags.
    endpoint_name str
    Inference endpoint name.
    online_deployment_properties KubernetesOnlineDeploymentArgs | 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 ManagedServiceIdentityArgs
    Managed service identity (system assigned and/or user assigned identities)
    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
    sku SkuArgs
    Sku details required for ARM contract for Autoscaling.
    tags Mapping[str, str]
    Resource tags.
    endpointName String
    Inference endpoint name.
    onlineDeploymentProperties 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
    Managed service identity (system assigned and/or user assigned identities)
    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
    sku Property Map
    Sku details required for ARM contract for Autoscaling.
    tags Map<String>
    Resource tags.

    Outputs

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

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

    Supporting Types

    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.

    Collection, CollectionArgs

    ClientId string
    The msi client id used to collect logging to blob storage. If it's null,backend will pick a registered endpoint identity to auth.
    DataCollectionMode string | Pulumi.AzureNative.MachineLearningServices.DataCollectionMode
    Enable or disable data collection.
    DataId string
    The data asset arm resource id. Client side will ensure data asset is pointing to the blob storage, and backend will collect data to the blob storage.
    SamplingRate double
    The sampling rate for collection. Sampling rate 1.0 means we collect 100% of data by default.
    ClientId string
    The msi client id used to collect logging to blob storage. If it's null,backend will pick a registered endpoint identity to auth.
    DataCollectionMode string | DataCollectionMode
    Enable or disable data collection.
    DataId string
    The data asset arm resource id. Client side will ensure data asset is pointing to the blob storage, and backend will collect data to the blob storage.
    SamplingRate float64
    The sampling rate for collection. Sampling rate 1.0 means we collect 100% of data by default.
    clientId String
    The msi client id used to collect logging to blob storage. If it's null,backend will pick a registered endpoint identity to auth.
    dataCollectionMode String | DataCollectionMode
    Enable or disable data collection.
    dataId String
    The data asset arm resource id. Client side will ensure data asset is pointing to the blob storage, and backend will collect data to the blob storage.
    samplingRate Double
    The sampling rate for collection. Sampling rate 1.0 means we collect 100% of data by default.
    clientId string
    The msi client id used to collect logging to blob storage. If it's null,backend will pick a registered endpoint identity to auth.
    dataCollectionMode string | DataCollectionMode
    Enable or disable data collection.
    dataId string
    The data asset arm resource id. Client side will ensure data asset is pointing to the blob storage, and backend will collect data to the blob storage.
    samplingRate number
    The sampling rate for collection. Sampling rate 1.0 means we collect 100% of data by default.
    client_id str
    The msi client id used to collect logging to blob storage. If it's null,backend will pick a registered endpoint identity to auth.
    data_collection_mode str | DataCollectionMode
    Enable or disable data collection.
    data_id str
    The data asset arm resource id. Client side will ensure data asset is pointing to the blob storage, and backend will collect data to the blob storage.
    sampling_rate float
    The sampling rate for collection. Sampling rate 1.0 means we collect 100% of data by default.
    clientId String
    The msi client id used to collect logging to blob storage. If it's null,backend will pick a registered endpoint identity to auth.
    dataCollectionMode String | "Enabled" | "Disabled"
    Enable or disable data collection.
    dataId String
    The data asset arm resource id. Client side will ensure data asset is pointing to the blob storage, and backend will collect data to the blob storage.
    samplingRate Number
    The sampling rate for collection. Sampling rate 1.0 means we collect 100% of data by default.

    CollectionResponse, CollectionResponseArgs

    ClientId string
    The msi client id used to collect logging to blob storage. If it's null,backend will pick a registered endpoint identity to auth.
    DataCollectionMode string
    Enable or disable data collection.
    DataId string
    The data asset arm resource id. Client side will ensure data asset is pointing to the blob storage, and backend will collect data to the blob storage.
    SamplingRate double
    The sampling rate for collection. Sampling rate 1.0 means we collect 100% of data by default.
    ClientId string
    The msi client id used to collect logging to blob storage. If it's null,backend will pick a registered endpoint identity to auth.
    DataCollectionMode string
    Enable or disable data collection.
    DataId string
    The data asset arm resource id. Client side will ensure data asset is pointing to the blob storage, and backend will collect data to the blob storage.
    SamplingRate float64
    The sampling rate for collection. Sampling rate 1.0 means we collect 100% of data by default.
    clientId String
    The msi client id used to collect logging to blob storage. If it's null,backend will pick a registered endpoint identity to auth.
    dataCollectionMode String
    Enable or disable data collection.
    dataId String
    The data asset arm resource id. Client side will ensure data asset is pointing to the blob storage, and backend will collect data to the blob storage.
    samplingRate Double
    The sampling rate for collection. Sampling rate 1.0 means we collect 100% of data by default.
    clientId string
    The msi client id used to collect logging to blob storage. If it's null,backend will pick a registered endpoint identity to auth.
    dataCollectionMode string
    Enable or disable data collection.
    dataId string
    The data asset arm resource id. Client side will ensure data asset is pointing to the blob storage, and backend will collect data to the blob storage.
    samplingRate number
    The sampling rate for collection. Sampling rate 1.0 means we collect 100% of data by default.
    client_id str
    The msi client id used to collect logging to blob storage. If it's null,backend will pick a registered endpoint identity to auth.
    data_collection_mode str
    Enable or disable data collection.
    data_id str
    The data asset arm resource id. Client side will ensure data asset is pointing to the blob storage, and backend will collect data to the blob storage.
    sampling_rate float
    The sampling rate for collection. Sampling rate 1.0 means we collect 100% of data by default.
    clientId String
    The msi client id used to collect logging to blob storage. If it's null,backend will pick a registered endpoint identity to auth.
    dataCollectionMode String
    Enable or disable data collection.
    dataId String
    The data asset arm resource id. Client side will ensure data asset is pointing to the blob storage, and backend will collect data to the blob storage.
    samplingRate Number
    The sampling rate for collection. Sampling rate 1.0 means we collect 100% of data by default.

    ContainerResourceRequirements, ContainerResourceRequirementsArgs

    containerResourceLimits Property Map
    Container resource limit info:
    containerResourceRequests Property Map
    Container resource request info:

    ContainerResourceRequirementsResponse, ContainerResourceRequirementsResponseArgs

    containerResourceLimits Property Map
    Container resource limit info:
    containerResourceRequests Property Map
    Container resource request info:

    ContainerResourceSettings, ContainerResourceSettingsArgs

    Cpu string
    Number of vCPUs request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    Gpu string
    Number of Nvidia GPU cards request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    Memory string
    Memory size request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    Cpu string
    Number of vCPUs request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    Gpu string
    Number of Nvidia GPU cards request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    Memory string
    Memory size request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    cpu String
    Number of vCPUs request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    gpu String
    Number of Nvidia GPU cards request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    memory String
    Memory size request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    cpu string
    Number of vCPUs request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    gpu string
    Number of Nvidia GPU cards request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    memory string
    Memory size request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    cpu str
    Number of vCPUs request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    gpu str
    Number of Nvidia GPU cards request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    memory str
    Memory size request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    cpu String
    Number of vCPUs request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    gpu String
    Number of Nvidia GPU cards request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    memory String
    Memory size request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

    ContainerResourceSettingsResponse, ContainerResourceSettingsResponseArgs

    Cpu string
    Number of vCPUs request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    Gpu string
    Number of Nvidia GPU cards request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    Memory string
    Memory size request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    Cpu string
    Number of vCPUs request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    Gpu string
    Number of Nvidia GPU cards request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    Memory string
    Memory size request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    cpu String
    Number of vCPUs request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    gpu String
    Number of Nvidia GPU cards request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    memory String
    Memory size request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    cpu string
    Number of vCPUs request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    gpu string
    Number of Nvidia GPU cards request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    memory string
    Memory size request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    cpu str
    Number of vCPUs request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    gpu str
    Number of Nvidia GPU cards request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    memory str
    Memory size request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    cpu String
    Number of vCPUs request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    gpu String
    Number of Nvidia GPU cards request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    memory String
    Memory size request/limit for container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

    DataCollectionMode, DataCollectionModeArgs

    Enabled
    Enabled
    Disabled
    Disabled
    DataCollectionModeEnabled
    Enabled
    DataCollectionModeDisabled
    Disabled
    Enabled
    Enabled
    Disabled
    Disabled
    Enabled
    Enabled
    Disabled
    Disabled
    ENABLED
    Enabled
    DISABLED
    Disabled
    "Enabled"
    Enabled
    "Disabled"
    Disabled

    DataCollector, DataCollectorArgs

    Collections Dictionary<string, Pulumi.AzureNative.MachineLearningServices.Inputs.Collection>
    [Required] The collection configuration. Each collection has it own configuration to collect model data and the name of collection can be arbitrary string. Model data collector can be used for either payload logging or custom logging or both of them. Collection request and response are reserved for payload logging, others are for custom logging.
    RequestLogging Pulumi.AzureNative.MachineLearningServices.Inputs.RequestLogging
    The request logging configuration for mdc, it includes advanced logging settings for all collections. It's optional.
    RollingRate string | Pulumi.AzureNative.MachineLearningServices.RollingRateType
    When model data is collected to blob storage, we need to roll the data to different path to avoid logging all of them in a single blob file. If the rolling rate is hour, all data will be collected in the blob path /yyyy/MM/dd/HH/. If it's day, all data will be collected in blob path /yyyy/MM/dd/. The other benefit of rolling path is that model monitoring ui is able to select a time range of data very quickly.
    Collections map[string]Collection
    [Required] The collection configuration. Each collection has it own configuration to collect model data and the name of collection can be arbitrary string. Model data collector can be used for either payload logging or custom logging or both of them. Collection request and response are reserved for payload logging, others are for custom logging.
    RequestLogging RequestLogging
    The request logging configuration for mdc, it includes advanced logging settings for all collections. It's optional.
    RollingRate string | RollingRateType
    When model data is collected to blob storage, we need to roll the data to different path to avoid logging all of them in a single blob file. If the rolling rate is hour, all data will be collected in the blob path /yyyy/MM/dd/HH/. If it's day, all data will be collected in blob path /yyyy/MM/dd/. The other benefit of rolling path is that model monitoring ui is able to select a time range of data very quickly.
    collections Map<String,Collection>
    [Required] The collection configuration. Each collection has it own configuration to collect model data and the name of collection can be arbitrary string. Model data collector can be used for either payload logging or custom logging or both of them. Collection request and response are reserved for payload logging, others are for custom logging.
    requestLogging RequestLogging
    The request logging configuration for mdc, it includes advanced logging settings for all collections. It's optional.
    rollingRate String | RollingRateType
    When model data is collected to blob storage, we need to roll the data to different path to avoid logging all of them in a single blob file. If the rolling rate is hour, all data will be collected in the blob path /yyyy/MM/dd/HH/. If it's day, all data will be collected in blob path /yyyy/MM/dd/. The other benefit of rolling path is that model monitoring ui is able to select a time range of data very quickly.
    collections {[key: string]: Collection}
    [Required] The collection configuration. Each collection has it own configuration to collect model data and the name of collection can be arbitrary string. Model data collector can be used for either payload logging or custom logging or both of them. Collection request and response are reserved for payload logging, others are for custom logging.
    requestLogging RequestLogging
    The request logging configuration for mdc, it includes advanced logging settings for all collections. It's optional.
    rollingRate string | RollingRateType
    When model data is collected to blob storage, we need to roll the data to different path to avoid logging all of them in a single blob file. If the rolling rate is hour, all data will be collected in the blob path /yyyy/MM/dd/HH/. If it's day, all data will be collected in blob path /yyyy/MM/dd/. The other benefit of rolling path is that model monitoring ui is able to select a time range of data very quickly.
    collections Mapping[str, Collection]
    [Required] The collection configuration. Each collection has it own configuration to collect model data and the name of collection can be arbitrary string. Model data collector can be used for either payload logging or custom logging or both of them. Collection request and response are reserved for payload logging, others are for custom logging.
    request_logging RequestLogging
    The request logging configuration for mdc, it includes advanced logging settings for all collections. It's optional.
    rolling_rate str | RollingRateType
    When model data is collected to blob storage, we need to roll the data to different path to avoid logging all of them in a single blob file. If the rolling rate is hour, all data will be collected in the blob path /yyyy/MM/dd/HH/. If it's day, all data will be collected in blob path /yyyy/MM/dd/. The other benefit of rolling path is that model monitoring ui is able to select a time range of data very quickly.
    collections Map<Property Map>
    [Required] The collection configuration. Each collection has it own configuration to collect model data and the name of collection can be arbitrary string. Model data collector can be used for either payload logging or custom logging or both of them. Collection request and response are reserved for payload logging, others are for custom logging.
    requestLogging Property Map
    The request logging configuration for mdc, it includes advanced logging settings for all collections. It's optional.
    rollingRate String | "Year" | "Month" | "Day" | "Hour" | "Minute"
    When model data is collected to blob storage, we need to roll the data to different path to avoid logging all of them in a single blob file. If the rolling rate is hour, all data will be collected in the blob path /yyyy/MM/dd/HH/. If it's day, all data will be collected in blob path /yyyy/MM/dd/. The other benefit of rolling path is that model monitoring ui is able to select a time range of data very quickly.

    DataCollectorResponse, DataCollectorResponseArgs

    Collections Dictionary<string, Pulumi.AzureNative.MachineLearningServices.Inputs.CollectionResponse>
    [Required] The collection configuration. Each collection has it own configuration to collect model data and the name of collection can be arbitrary string. Model data collector can be used for either payload logging or custom logging or both of them. Collection request and response are reserved for payload logging, others are for custom logging.
    RequestLogging Pulumi.AzureNative.MachineLearningServices.Inputs.RequestLoggingResponse
    The request logging configuration for mdc, it includes advanced logging settings for all collections. It's optional.
    RollingRate string
    When model data is collected to blob storage, we need to roll the data to different path to avoid logging all of them in a single blob file. If the rolling rate is hour, all data will be collected in the blob path /yyyy/MM/dd/HH/. If it's day, all data will be collected in blob path /yyyy/MM/dd/. The other benefit of rolling path is that model monitoring ui is able to select a time range of data very quickly.
    Collections map[string]CollectionResponse
    [Required] The collection configuration. Each collection has it own configuration to collect model data and the name of collection can be arbitrary string. Model data collector can be used for either payload logging or custom logging or both of them. Collection request and response are reserved for payload logging, others are for custom logging.
    RequestLogging RequestLoggingResponse
    The request logging configuration for mdc, it includes advanced logging settings for all collections. It's optional.
    RollingRate string
    When model data is collected to blob storage, we need to roll the data to different path to avoid logging all of them in a single blob file. If the rolling rate is hour, all data will be collected in the blob path /yyyy/MM/dd/HH/. If it's day, all data will be collected in blob path /yyyy/MM/dd/. The other benefit of rolling path is that model monitoring ui is able to select a time range of data very quickly.
    collections Map<String,CollectionResponse>
    [Required] The collection configuration. Each collection has it own configuration to collect model data and the name of collection can be arbitrary string. Model data collector can be used for either payload logging or custom logging or both of them. Collection request and response are reserved for payload logging, others are for custom logging.
    requestLogging RequestLoggingResponse
    The request logging configuration for mdc, it includes advanced logging settings for all collections. It's optional.
    rollingRate String
    When model data is collected to blob storage, we need to roll the data to different path to avoid logging all of them in a single blob file. If the rolling rate is hour, all data will be collected in the blob path /yyyy/MM/dd/HH/. If it's day, all data will be collected in blob path /yyyy/MM/dd/. The other benefit of rolling path is that model monitoring ui is able to select a time range of data very quickly.
    collections {[key: string]: CollectionResponse}
    [Required] The collection configuration. Each collection has it own configuration to collect model data and the name of collection can be arbitrary string. Model data collector can be used for either payload logging or custom logging or both of them. Collection request and response are reserved for payload logging, others are for custom logging.
    requestLogging RequestLoggingResponse
    The request logging configuration for mdc, it includes advanced logging settings for all collections. It's optional.
    rollingRate string
    When model data is collected to blob storage, we need to roll the data to different path to avoid logging all of them in a single blob file. If the rolling rate is hour, all data will be collected in the blob path /yyyy/MM/dd/HH/. If it's day, all data will be collected in blob path /yyyy/MM/dd/. The other benefit of rolling path is that model monitoring ui is able to select a time range of data very quickly.
    collections Mapping[str, CollectionResponse]
    [Required] The collection configuration. Each collection has it own configuration to collect model data and the name of collection can be arbitrary string. Model data collector can be used for either payload logging or custom logging or both of them. Collection request and response are reserved for payload logging, others are for custom logging.
    request_logging RequestLoggingResponse
    The request logging configuration for mdc, it includes advanced logging settings for all collections. It's optional.
    rolling_rate str
    When model data is collected to blob storage, we need to roll the data to different path to avoid logging all of them in a single blob file. If the rolling rate is hour, all data will be collected in the blob path /yyyy/MM/dd/HH/. If it's day, all data will be collected in blob path /yyyy/MM/dd/. The other benefit of rolling path is that model monitoring ui is able to select a time range of data very quickly.
    collections Map<Property Map>
    [Required] The collection configuration. Each collection has it own configuration to collect model data and the name of collection can be arbitrary string. Model data collector can be used for either payload logging or custom logging or both of them. Collection request and response are reserved for payload logging, others are for custom logging.
    requestLogging Property Map
    The request logging configuration for mdc, it includes advanced logging settings for all collections. It's optional.
    rollingRate String
    When model data is collected to blob storage, we need to roll the data to different path to avoid logging all of them in a single blob file. If the rolling rate is hour, all data will be collected in the blob path /yyyy/MM/dd/HH/. If it's day, all data will be collected in blob path /yyyy/MM/dd/. The other benefit of rolling path is that model monitoring ui is able to select a time range of data very quickly.

    DefaultScaleSettings, DefaultScaleSettingsArgs

    DefaultScaleSettingsResponse, DefaultScaleSettingsResponseArgs

    EgressPublicNetworkAccessType, EgressPublicNetworkAccessTypeArgs

    Enabled
    Enabled
    Disabled
    Disabled
    EgressPublicNetworkAccessTypeEnabled
    Enabled
    EgressPublicNetworkAccessTypeDisabled
    Disabled
    Enabled
    Enabled
    Disabled
    Disabled
    Enabled
    Enabled
    Disabled
    Disabled
    ENABLED
    Enabled
    DISABLED
    Disabled
    "Enabled"
    Enabled
    "Disabled"
    Disabled

    KubernetesOnlineDeployment, KubernetesOnlineDeploymentArgs

    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
    The resource requirements for the container (cpu and memory).
    DataCollector Pulumi.AzureNative.MachineLearningServices.Inputs.DataCollector
    The mdc configuration, we disable mdc when it's null.
    Description string
    Description of the endpoint deployment.
    EgressPublicNetworkAccess string | Pulumi.AzureNative.MachineLearningServices.EgressPublicNetworkAccessType
    If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
    EnvironmentId string
    ARM resource ID or AssetId of the environment specification for the endpoint deployment.
    EnvironmentVariables Dictionary<string, string>
    Environment variables configuration for the deployment.
    InstanceType string
    Compute instance type. Default: Standard_F4s_v2.
    LivenessProbe Pulumi.AzureNative.MachineLearningServices.Inputs.ProbeSettings
    Liveness probe monitors the health of the container regularly.
    Model string
    The URI path to the model.
    ModelMountPath string
    The path to mount the model in custom container.
    Properties Dictionary<string, string>
    Property dictionary. Properties can be added, but not removed or altered.
    ReadinessProbe Pulumi.AzureNative.MachineLearningServices.Inputs.ProbeSettings
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    RequestSettings Pulumi.AzureNative.MachineLearningServices.Inputs.OnlineRequestSettings
    Request settings for the deployment.
    ScaleSettings Pulumi.AzureNative.MachineLearningServices.Inputs.DefaultScaleSettings | Pulumi.AzureNative.MachineLearningServices.Inputs.TargetUtilizationScaleSettings
    Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
    StartupProbe Pulumi.AzureNative.MachineLearningServices.Inputs.ProbeSettings
    Startup probe verify whether an application within a container has started successfully.
    AppInsightsEnabled bool
    If true, enables Application Insights logging.
    CodeConfiguration CodeConfiguration
    Code configuration for the endpoint deployment.
    ContainerResourceRequirements ContainerResourceRequirements
    The resource requirements for the container (cpu and memory).
    DataCollector DataCollector
    The mdc configuration, we disable mdc when it's null.
    Description string
    Description of the endpoint deployment.
    EgressPublicNetworkAccess string | EgressPublicNetworkAccessType
    If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
    EnvironmentId string
    ARM resource ID or AssetId of the environment specification for the endpoint deployment.
    EnvironmentVariables map[string]string
    Environment variables configuration for the deployment.
    InstanceType string
    Compute instance type. Default: Standard_F4s_v2.
    LivenessProbe ProbeSettings
    Liveness probe monitors the health of the container regularly.
    Model string
    The URI path to the model.
    ModelMountPath string
    The path to mount the model in custom container.
    Properties map[string]string
    Property dictionary. Properties can be added, but not removed or altered.
    ReadinessProbe ProbeSettings
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    RequestSettings OnlineRequestSettings
    Request settings for the deployment.
    ScaleSettings DefaultScaleSettings | TargetUtilizationScaleSettings
    Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
    StartupProbe ProbeSettings
    Startup probe verify whether an application within a container has started successfully.
    appInsightsEnabled Boolean
    If true, enables Application Insights logging.
    codeConfiguration CodeConfiguration
    Code configuration for the endpoint deployment.
    containerResourceRequirements ContainerResourceRequirements
    The resource requirements for the container (cpu and memory).
    dataCollector DataCollector
    The mdc configuration, we disable mdc when it's null.
    description String
    Description of the endpoint deployment.
    egressPublicNetworkAccess String | EgressPublicNetworkAccessType
    If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
    environmentId String
    ARM resource ID or AssetId of the environment specification for the endpoint deployment.
    environmentVariables Map<String,String>
    Environment variables configuration for the deployment.
    instanceType String
    Compute instance type. Default: Standard_F4s_v2.
    livenessProbe ProbeSettings
    Liveness probe monitors the health of the container regularly.
    model String
    The URI path to the model.
    modelMountPath String
    The path to mount the model in custom container.
    properties Map<String,String>
    Property dictionary. Properties can be added, but not removed or altered.
    readinessProbe ProbeSettings
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    requestSettings OnlineRequestSettings
    Request settings for the deployment.
    scaleSettings DefaultScaleSettings | TargetUtilizationScaleSettings
    Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
    startupProbe ProbeSettings
    Startup probe verify whether an application within a container has started successfully.
    appInsightsEnabled boolean
    If true, enables Application Insights logging.
    codeConfiguration CodeConfiguration
    Code configuration for the endpoint deployment.
    containerResourceRequirements ContainerResourceRequirements
    The resource requirements for the container (cpu and memory).
    dataCollector DataCollector
    The mdc configuration, we disable mdc when it's null.
    description string
    Description of the endpoint deployment.
    egressPublicNetworkAccess string | EgressPublicNetworkAccessType
    If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
    environmentId string
    ARM resource ID or AssetId of the environment specification for the endpoint deployment.
    environmentVariables {[key: string]: string}
    Environment variables configuration for the deployment.
    instanceType string
    Compute instance type. Default: Standard_F4s_v2.
    livenessProbe ProbeSettings
    Liveness probe monitors the health of the container regularly.
    model string
    The URI path to the model.
    modelMountPath string
    The path to mount the model in custom container.
    properties {[key: string]: string}
    Property dictionary. Properties can be added, but not removed or altered.
    readinessProbe ProbeSettings
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    requestSettings OnlineRequestSettings
    Request settings for the deployment.
    scaleSettings DefaultScaleSettings | TargetUtilizationScaleSettings
    Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
    startupProbe ProbeSettings
    Startup probe verify whether an application within a container has started successfully.
    app_insights_enabled bool
    If true, enables Application Insights logging.
    code_configuration CodeConfiguration
    Code configuration for the endpoint deployment.
    container_resource_requirements ContainerResourceRequirements
    The resource requirements for the container (cpu and memory).
    data_collector DataCollector
    The mdc configuration, we disable mdc when it's null.
    description str
    Description of the endpoint deployment.
    egress_public_network_access str | EgressPublicNetworkAccessType
    If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
    environment_id str
    ARM resource ID or AssetId 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. Default: Standard_F4s_v2.
    liveness_probe ProbeSettings
    Liveness probe monitors the health of the container regularly.
    model str
    The URI path to the model.
    model_mount_path str
    The path to mount the model in custom container.
    properties Mapping[str, str]
    Property dictionary. Properties can be added, but not removed or altered.
    readiness_probe ProbeSettings
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    request_settings OnlineRequestSettings
    Request settings for the deployment.
    scale_settings DefaultScaleSettings | TargetUtilizationScaleSettings
    Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
    startup_probe ProbeSettings
    Startup probe verify whether an application within a container has started successfully.
    appInsightsEnabled Boolean
    If true, enables Application Insights logging.
    codeConfiguration Property Map
    Code configuration for the endpoint deployment.
    containerResourceRequirements Property Map
    The resource requirements for the container (cpu and memory).
    dataCollector Property Map
    The mdc configuration, we disable mdc when it's null.
    description String
    Description of the endpoint deployment.
    egressPublicNetworkAccess String | "Enabled" | "Disabled"
    If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
    environmentId String
    ARM resource ID or AssetId of the environment specification for the endpoint deployment.
    environmentVariables Map<String>
    Environment variables configuration for the deployment.
    instanceType String
    Compute instance type. Default: Standard_F4s_v2.
    livenessProbe Property Map
    Liveness probe monitors the health of the container regularly.
    model String
    The URI path to the model.
    modelMountPath String
    The path to mount the model in custom container.
    properties Map<String>
    Property dictionary. Properties can be added, but not removed or altered.
    readinessProbe Property Map
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    requestSettings Property Map
    Request settings for the deployment.
    scaleSettings Property Map | Property Map
    Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
    startupProbe Property Map
    Startup probe verify whether an application within a container has started successfully.

    KubernetesOnlineDeploymentResponse, KubernetesOnlineDeploymentResponseArgs

    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
    The resource requirements for the container (cpu and memory).
    DataCollector Pulumi.AzureNative.MachineLearningServices.Inputs.DataCollectorResponse
    The mdc configuration, we disable mdc when it's null.
    Description string
    Description of the endpoint deployment.
    EgressPublicNetworkAccess string
    If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
    EnvironmentId string
    ARM resource ID or AssetId of the environment specification for the endpoint deployment.
    EnvironmentVariables Dictionary<string, string>
    Environment variables configuration for the deployment.
    InstanceType string
    Compute instance type. Default: Standard_F4s_v2.
    LivenessProbe Pulumi.AzureNative.MachineLearningServices.Inputs.ProbeSettingsResponse
    Liveness probe monitors the health of the container regularly.
    Model string
    The URI path to the model.
    ModelMountPath string
    The path to mount the model in custom container.
    Properties Dictionary<string, string>
    Property dictionary. Properties can be added, but not removed or altered.
    ReadinessProbe Pulumi.AzureNative.MachineLearningServices.Inputs.ProbeSettingsResponse
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    RequestSettings Pulumi.AzureNative.MachineLearningServices.Inputs.OnlineRequestSettingsResponse
    Request settings for the deployment.
    ScaleSettings Pulumi.AzureNative.MachineLearningServices.Inputs.DefaultScaleSettingsResponse | Pulumi.AzureNative.MachineLearningServices.Inputs.TargetUtilizationScaleSettingsResponse
    Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
    StartupProbe Pulumi.AzureNative.MachineLearningServices.Inputs.ProbeSettingsResponse
    Startup probe verify whether an application within a container has started successfully.
    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
    The resource requirements for the container (cpu and memory).
    DataCollector DataCollectorResponse
    The mdc configuration, we disable mdc when it's null.
    Description string
    Description of the endpoint deployment.
    EgressPublicNetworkAccess string
    If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
    EnvironmentId string
    ARM resource ID or AssetId of the environment specification for the endpoint deployment.
    EnvironmentVariables map[string]string
    Environment variables configuration for the deployment.
    InstanceType string
    Compute instance type. Default: Standard_F4s_v2.
    LivenessProbe ProbeSettingsResponse
    Liveness probe monitors the health of the container regularly.
    Model string
    The URI path to the model.
    ModelMountPath string
    The path to mount the model in custom container.
    Properties map[string]string
    Property dictionary. Properties can be added, but not removed or altered.
    ReadinessProbe ProbeSettingsResponse
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    RequestSettings OnlineRequestSettingsResponse
    Request settings for the deployment.
    ScaleSettings DefaultScaleSettingsResponse | TargetUtilizationScaleSettingsResponse
    Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
    StartupProbe ProbeSettingsResponse
    Startup probe verify whether an application within a container has started successfully.
    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
    The resource requirements for the container (cpu and memory).
    dataCollector DataCollectorResponse
    The mdc configuration, we disable mdc when it's null.
    description String
    Description of the endpoint deployment.
    egressPublicNetworkAccess String
    If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
    environmentId String
    ARM resource ID or AssetId of the environment specification for the endpoint deployment.
    environmentVariables Map<String,String>
    Environment variables configuration for the deployment.
    instanceType String
    Compute instance type. Default: Standard_F4s_v2.
    livenessProbe ProbeSettingsResponse
    Liveness probe monitors the health of the container regularly.
    model String
    The URI path to the model.
    modelMountPath String
    The path to mount the model in custom container.
    properties Map<String,String>
    Property dictionary. Properties can be added, but not removed or altered.
    readinessProbe ProbeSettingsResponse
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    requestSettings OnlineRequestSettingsResponse
    Request settings for the deployment.
    scaleSettings DefaultScaleSettingsResponse | TargetUtilizationScaleSettingsResponse
    Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
    startupProbe ProbeSettingsResponse
    Startup probe verify whether an application within a container has started successfully.
    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
    The resource requirements for the container (cpu and memory).
    dataCollector DataCollectorResponse
    The mdc configuration, we disable mdc when it's null.
    description string
    Description of the endpoint deployment.
    egressPublicNetworkAccess string
    If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
    environmentId string
    ARM resource ID or AssetId of the environment specification for the endpoint deployment.
    environmentVariables {[key: string]: string}
    Environment variables configuration for the deployment.
    instanceType string
    Compute instance type. Default: Standard_F4s_v2.
    livenessProbe ProbeSettingsResponse
    Liveness probe monitors the health of the container regularly.
    model string
    The URI path to the model.
    modelMountPath string
    The path to mount the model in custom container.
    properties {[key: string]: string}
    Property dictionary. Properties can be added, but not removed or altered.
    readinessProbe ProbeSettingsResponse
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    requestSettings OnlineRequestSettingsResponse
    Request settings for the deployment.
    scaleSettings DefaultScaleSettingsResponse | TargetUtilizationScaleSettingsResponse
    Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
    startupProbe ProbeSettingsResponse
    Startup probe verify whether an application within a container has started successfully.
    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
    The resource requirements for the container (cpu and memory).
    data_collector DataCollectorResponse
    The mdc configuration, we disable mdc when it's null.
    description str
    Description of the endpoint deployment.
    egress_public_network_access str
    If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
    environment_id str
    ARM resource ID or AssetId 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. Default: Standard_F4s_v2.
    liveness_probe ProbeSettingsResponse
    Liveness probe monitors the health of the container regularly.
    model str
    The URI path to the model.
    model_mount_path str
    The path to mount the model in custom container.
    properties Mapping[str, str]
    Property dictionary. Properties can be added, but not removed or altered.
    readiness_probe ProbeSettingsResponse
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    request_settings OnlineRequestSettingsResponse
    Request settings for the deployment.
    scale_settings DefaultScaleSettingsResponse | TargetUtilizationScaleSettingsResponse
    Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
    startup_probe ProbeSettingsResponse
    Startup probe verify whether an application within a container has started successfully.
    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
    The resource requirements for the container (cpu and memory).
    dataCollector Property Map
    The mdc configuration, we disable mdc when it's null.
    description String
    Description of the endpoint deployment.
    egressPublicNetworkAccess String
    If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
    environmentId String
    ARM resource ID or AssetId of the environment specification for the endpoint deployment.
    environmentVariables Map<String>
    Environment variables configuration for the deployment.
    instanceType String
    Compute instance type. Default: Standard_F4s_v2.
    livenessProbe Property Map
    Liveness probe monitors the health of the container regularly.
    model String
    The URI path to the model.
    modelMountPath String
    The path to mount the model in custom container.
    properties Map<String>
    Property dictionary. Properties can be added, but not removed or altered.
    readinessProbe Property Map
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    requestSettings Property Map
    Request settings for the deployment.
    scaleSettings Property Map | Property Map
    Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
    startupProbe Property Map
    Startup probe verify whether an application within a container has started successfully.

    ManagedOnlineDeployment, ManagedOnlineDeploymentArgs

    AppInsightsEnabled bool
    If true, enables Application Insights logging.
    CodeConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.CodeConfiguration
    Code configuration for the endpoint deployment.
    DataCollector Pulumi.AzureNative.MachineLearningServices.Inputs.DataCollector
    The mdc configuration, we disable mdc when it's null.
    Description string
    Description of the endpoint deployment.
    EgressPublicNetworkAccess string | Pulumi.AzureNative.MachineLearningServices.EgressPublicNetworkAccessType
    If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
    EnvironmentId string
    ARM resource ID or AssetId of the environment specification for the endpoint deployment.
    EnvironmentVariables Dictionary<string, string>
    Environment variables configuration for the deployment.
    InstanceType string
    Compute instance type. Default: Standard_F4s_v2.
    LivenessProbe Pulumi.AzureNative.MachineLearningServices.Inputs.ProbeSettings
    Liveness probe monitors the health of the container regularly.
    Model string
    The URI path to the model.
    ModelMountPath string
    The path to mount the model in custom container.
    Properties Dictionary<string, string>
    Property dictionary. Properties can be added, but not removed or altered.
    ReadinessProbe Pulumi.AzureNative.MachineLearningServices.Inputs.ProbeSettings
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    RequestSettings Pulumi.AzureNative.MachineLearningServices.Inputs.OnlineRequestSettings
    Request settings for the deployment.
    ScaleSettings Pulumi.AzureNative.MachineLearningServices.Inputs.DefaultScaleSettings | Pulumi.AzureNative.MachineLearningServices.Inputs.TargetUtilizationScaleSettings
    Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
    StartupProbe Pulumi.AzureNative.MachineLearningServices.Inputs.ProbeSettings
    Startup probe verify whether an application within a container has started successfully.
    AppInsightsEnabled bool
    If true, enables Application Insights logging.
    CodeConfiguration CodeConfiguration
    Code configuration for the endpoint deployment.
    DataCollector DataCollector
    The mdc configuration, we disable mdc when it's null.
    Description string
    Description of the endpoint deployment.
    EgressPublicNetworkAccess string | EgressPublicNetworkAccessType
    If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
    EnvironmentId string
    ARM resource ID or AssetId of the environment specification for the endpoint deployment.
    EnvironmentVariables map[string]string
    Environment variables configuration for the deployment.
    InstanceType string
    Compute instance type. Default: Standard_F4s_v2.
    LivenessProbe ProbeSettings
    Liveness probe monitors the health of the container regularly.
    Model string
    The URI path to the model.
    ModelMountPath string
    The path to mount the model in custom container.
    Properties map[string]string
    Property dictionary. Properties can be added, but not removed or altered.
    ReadinessProbe ProbeSettings
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    RequestSettings OnlineRequestSettings
    Request settings for the deployment.
    ScaleSettings DefaultScaleSettings | TargetUtilizationScaleSettings
    Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
    StartupProbe ProbeSettings
    Startup probe verify whether an application within a container has started successfully.
    appInsightsEnabled Boolean
    If true, enables Application Insights logging.
    codeConfiguration CodeConfiguration
    Code configuration for the endpoint deployment.
    dataCollector DataCollector
    The mdc configuration, we disable mdc when it's null.
    description String
    Description of the endpoint deployment.
    egressPublicNetworkAccess String | EgressPublicNetworkAccessType
    If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
    environmentId String
    ARM resource ID or AssetId of the environment specification for the endpoint deployment.
    environmentVariables Map<String,String>
    Environment variables configuration for the deployment.
    instanceType String
    Compute instance type. Default: Standard_F4s_v2.
    livenessProbe ProbeSettings
    Liveness probe monitors the health of the container regularly.
    model String
    The URI path to the model.
    modelMountPath String
    The path to mount the model in custom container.
    properties Map<String,String>
    Property dictionary. Properties can be added, but not removed or altered.
    readinessProbe ProbeSettings
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    requestSettings OnlineRequestSettings
    Request settings for the deployment.
    scaleSettings DefaultScaleSettings | TargetUtilizationScaleSettings
    Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
    startupProbe ProbeSettings
    Startup probe verify whether an application within a container has started successfully.
    appInsightsEnabled boolean
    If true, enables Application Insights logging.
    codeConfiguration CodeConfiguration
    Code configuration for the endpoint deployment.
    dataCollector DataCollector
    The mdc configuration, we disable mdc when it's null.
    description string
    Description of the endpoint deployment.
    egressPublicNetworkAccess string | EgressPublicNetworkAccessType
    If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
    environmentId string
    ARM resource ID or AssetId of the environment specification for the endpoint deployment.
    environmentVariables {[key: string]: string}
    Environment variables configuration for the deployment.
    instanceType string
    Compute instance type. Default: Standard_F4s_v2.
    livenessProbe ProbeSettings
    Liveness probe monitors the health of the container regularly.
    model string
    The URI path to the model.
    modelMountPath string
    The path to mount the model in custom container.
    properties {[key: string]: string}
    Property dictionary. Properties can be added, but not removed or altered.
    readinessProbe ProbeSettings
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    requestSettings OnlineRequestSettings
    Request settings for the deployment.
    scaleSettings DefaultScaleSettings | TargetUtilizationScaleSettings
    Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
    startupProbe ProbeSettings
    Startup probe verify whether an application within a container has started successfully.
    app_insights_enabled bool
    If true, enables Application Insights logging.
    code_configuration CodeConfiguration
    Code configuration for the endpoint deployment.
    data_collector DataCollector
    The mdc configuration, we disable mdc when it's null.
    description str
    Description of the endpoint deployment.
    egress_public_network_access str | EgressPublicNetworkAccessType
    If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
    environment_id str
    ARM resource ID or AssetId 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. Default: Standard_F4s_v2.
    liveness_probe ProbeSettings
    Liveness probe monitors the health of the container regularly.
    model str
    The URI path to the model.
    model_mount_path str
    The path to mount the model in custom container.
    properties Mapping[str, str]
    Property dictionary. Properties can be added, but not removed or altered.
    readiness_probe ProbeSettings
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    request_settings OnlineRequestSettings
    Request settings for the deployment.
    scale_settings DefaultScaleSettings | TargetUtilizationScaleSettings
    Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
    startup_probe ProbeSettings
    Startup probe verify whether an application within a container has started successfully.
    appInsightsEnabled Boolean
    If true, enables Application Insights logging.
    codeConfiguration Property Map
    Code configuration for the endpoint deployment.
    dataCollector Property Map
    The mdc configuration, we disable mdc when it's null.
    description String
    Description of the endpoint deployment.
    egressPublicNetworkAccess String | "Enabled" | "Disabled"
    If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
    environmentId String
    ARM resource ID or AssetId of the environment specification for the endpoint deployment.
    environmentVariables Map<String>
    Environment variables configuration for the deployment.
    instanceType String
    Compute instance type. Default: Standard_F4s_v2.
    livenessProbe Property Map
    Liveness probe monitors the health of the container regularly.
    model String
    The URI path to the model.
    modelMountPath String
    The path to mount the model in custom container.
    properties Map<String>
    Property dictionary. Properties can be added, but not removed or altered.
    readinessProbe Property Map
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    requestSettings Property Map
    Request settings for the deployment.
    scaleSettings Property Map | Property Map
    Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
    startupProbe Property Map
    Startup probe verify whether an application within a container has started successfully.

    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.
    DataCollector Pulumi.AzureNative.MachineLearningServices.Inputs.DataCollectorResponse
    The mdc configuration, we disable mdc when it's null.
    Description string
    Description of the endpoint deployment.
    EgressPublicNetworkAccess string
    If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
    EnvironmentId string
    ARM resource ID or AssetId of the environment specification for the endpoint deployment.
    EnvironmentVariables Dictionary<string, string>
    Environment variables configuration for the deployment.
    InstanceType string
    Compute instance type. Default: Standard_F4s_v2.
    LivenessProbe Pulumi.AzureNative.MachineLearningServices.Inputs.ProbeSettingsResponse
    Liveness probe monitors the health of the container regularly.
    Model string
    The URI path to the model.
    ModelMountPath string
    The path to mount the model in custom container.
    Properties Dictionary<string, string>
    Property dictionary. Properties can be added, but not removed or altered.
    ReadinessProbe Pulumi.AzureNative.MachineLearningServices.Inputs.ProbeSettingsResponse
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    RequestSettings Pulumi.AzureNative.MachineLearningServices.Inputs.OnlineRequestSettingsResponse
    Request settings for the deployment.
    ScaleSettings Pulumi.AzureNative.MachineLearningServices.Inputs.DefaultScaleSettingsResponse | Pulumi.AzureNative.MachineLearningServices.Inputs.TargetUtilizationScaleSettingsResponse
    Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
    StartupProbe Pulumi.AzureNative.MachineLearningServices.Inputs.ProbeSettingsResponse
    Startup probe verify whether an application within a container has started successfully.
    ProvisioningState string
    Provisioning state for the endpoint deployment.
    AppInsightsEnabled bool
    If true, enables Application Insights logging.
    CodeConfiguration CodeConfigurationResponse
    Code configuration for the endpoint deployment.
    DataCollector DataCollectorResponse
    The mdc configuration, we disable mdc when it's null.
    Description string
    Description of the endpoint deployment.
    EgressPublicNetworkAccess string
    If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
    EnvironmentId string
    ARM resource ID or AssetId of the environment specification for the endpoint deployment.
    EnvironmentVariables map[string]string
    Environment variables configuration for the deployment.
    InstanceType string
    Compute instance type. Default: Standard_F4s_v2.
    LivenessProbe ProbeSettingsResponse
    Liveness probe monitors the health of the container regularly.
    Model string
    The URI path to the model.
    ModelMountPath string
    The path to mount the model in custom container.
    Properties map[string]string
    Property dictionary. Properties can be added, but not removed or altered.
    ReadinessProbe ProbeSettingsResponse
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    RequestSettings OnlineRequestSettingsResponse
    Request settings for the deployment.
    ScaleSettings DefaultScaleSettingsResponse | TargetUtilizationScaleSettingsResponse
    Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
    StartupProbe ProbeSettingsResponse
    Startup probe verify whether an application within a container has started successfully.
    provisioningState String
    Provisioning state for the endpoint deployment.
    appInsightsEnabled Boolean
    If true, enables Application Insights logging.
    codeConfiguration CodeConfigurationResponse
    Code configuration for the endpoint deployment.
    dataCollector DataCollectorResponse
    The mdc configuration, we disable mdc when it's null.
    description String
    Description of the endpoint deployment.
    egressPublicNetworkAccess String
    If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
    environmentId String
    ARM resource ID or AssetId of the environment specification for the endpoint deployment.
    environmentVariables Map<String,String>
    Environment variables configuration for the deployment.
    instanceType String
    Compute instance type. Default: Standard_F4s_v2.
    livenessProbe ProbeSettingsResponse
    Liveness probe monitors the health of the container regularly.
    model String
    The URI path to the model.
    modelMountPath String
    The path to mount the model in custom container.
    properties Map<String,String>
    Property dictionary. Properties can be added, but not removed or altered.
    readinessProbe ProbeSettingsResponse
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    requestSettings OnlineRequestSettingsResponse
    Request settings for the deployment.
    scaleSettings DefaultScaleSettingsResponse | TargetUtilizationScaleSettingsResponse
    Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
    startupProbe ProbeSettingsResponse
    Startup probe verify whether an application within a container has started successfully.
    provisioningState string
    Provisioning state for the endpoint deployment.
    appInsightsEnabled boolean
    If true, enables Application Insights logging.
    codeConfiguration CodeConfigurationResponse
    Code configuration for the endpoint deployment.
    dataCollector DataCollectorResponse
    The mdc configuration, we disable mdc when it's null.
    description string
    Description of the endpoint deployment.
    egressPublicNetworkAccess string
    If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
    environmentId string
    ARM resource ID or AssetId of the environment specification for the endpoint deployment.
    environmentVariables {[key: string]: string}
    Environment variables configuration for the deployment.
    instanceType string
    Compute instance type. Default: Standard_F4s_v2.
    livenessProbe ProbeSettingsResponse
    Liveness probe monitors the health of the container regularly.
    model string
    The URI path to the model.
    modelMountPath string
    The path to mount the model in custom container.
    properties {[key: string]: string}
    Property dictionary. Properties can be added, but not removed or altered.
    readinessProbe ProbeSettingsResponse
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    requestSettings OnlineRequestSettingsResponse
    Request settings for the deployment.
    scaleSettings DefaultScaleSettingsResponse | TargetUtilizationScaleSettingsResponse
    Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
    startupProbe ProbeSettingsResponse
    Startup probe verify whether an application within a container has started successfully.
    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.
    data_collector DataCollectorResponse
    The mdc configuration, we disable mdc when it's null.
    description str
    Description of the endpoint deployment.
    egress_public_network_access str
    If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
    environment_id str
    ARM resource ID or AssetId 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. Default: Standard_F4s_v2.
    liveness_probe ProbeSettingsResponse
    Liveness probe monitors the health of the container regularly.
    model str
    The URI path to the model.
    model_mount_path str
    The path to mount the model in custom container.
    properties Mapping[str, str]
    Property dictionary. Properties can be added, but not removed or altered.
    readiness_probe ProbeSettingsResponse
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    request_settings OnlineRequestSettingsResponse
    Request settings for the deployment.
    scale_settings DefaultScaleSettingsResponse | TargetUtilizationScaleSettingsResponse
    Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
    startup_probe ProbeSettingsResponse
    Startup probe verify whether an application within a container has started successfully.
    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.
    dataCollector Property Map
    The mdc configuration, we disable mdc when it's null.
    description String
    Description of the endpoint deployment.
    egressPublicNetworkAccess String
    If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
    environmentId String
    ARM resource ID or AssetId of the environment specification for the endpoint deployment.
    environmentVariables Map<String>
    Environment variables configuration for the deployment.
    instanceType String
    Compute instance type. Default: Standard_F4s_v2.
    livenessProbe Property Map
    Liveness probe monitors the health of the container regularly.
    model String
    The URI path to the model.
    modelMountPath String
    The path to mount the model in custom container.
    properties Map<String>
    Property dictionary. Properties can be added, but not removed or altered.
    readinessProbe Property Map
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    requestSettings Property Map
    Request settings for the deployment.
    scaleSettings Property Map | Property Map
    Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
    startupProbe Property Map
    Startup probe verify whether an application within a container has started successfully.

    ManagedServiceIdentity, ManagedServiceIdentityArgs

    Type string | Pulumi.AzureNative.MachineLearningServices.ManagedServiceIdentityType
    Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
    UserAssignedIdentities List<string>
    The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.
    Type string | ManagedServiceIdentityType
    Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
    UserAssignedIdentities []string
    The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.
    type String | ManagedServiceIdentityType
    Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
    userAssignedIdentities List<String>
    The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.
    type string | ManagedServiceIdentityType
    Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
    userAssignedIdentities string[]
    The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.
    type str | ManagedServiceIdentityType
    Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
    user_assigned_identities Sequence[str]
    The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.
    type String | "None" | "SystemAssigned" | "UserAssigned" | "SystemAssigned,UserAssigned"
    Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
    userAssignedIdentities List<String>
    The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.

    ManagedServiceIdentityResponse, ManagedServiceIdentityResponseArgs

    PrincipalId string
    The service principal ID of the system assigned identity. This property will only be provided for a system assigned identity.
    TenantId string
    The tenant ID of the system assigned identity. This property will only be provided for a system assigned identity.
    Type string
    Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
    UserAssignedIdentities Dictionary<string, Pulumi.AzureNative.MachineLearningServices.Inputs.UserAssignedIdentityResponse>
    The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.
    PrincipalId string
    The service principal ID of the system assigned identity. This property will only be provided for a system assigned identity.
    TenantId string
    The tenant ID of the system assigned identity. This property will only be provided for a system assigned identity.
    Type string
    Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
    UserAssignedIdentities map[string]UserAssignedIdentityResponse
    The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.
    principalId String
    The service principal ID of the system assigned identity. This property will only be provided for a system assigned identity.
    tenantId String
    The tenant ID of the system assigned identity. This property will only be provided for a system assigned identity.
    type String
    Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
    userAssignedIdentities Map<String,UserAssignedIdentityResponse>
    The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.
    principalId string
    The service principal ID of the system assigned identity. This property will only be provided for a system assigned identity.
    tenantId string
    The tenant ID of the system assigned identity. This property will only be provided for a system assigned identity.
    type string
    Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
    userAssignedIdentities {[key: string]: UserAssignedIdentityResponse}
    The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.
    principal_id str
    The service principal ID of the system assigned identity. This property will only be provided for a system assigned identity.
    tenant_id str
    The tenant ID of the system assigned identity. This property will only be provided for a system assigned identity.
    type str
    Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
    user_assigned_identities Mapping[str, UserAssignedIdentityResponse]
    The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.
    principalId String
    The service principal ID of the system assigned identity. This property will only be provided for a system assigned identity.
    tenantId String
    The tenant ID of the system assigned identity. This property will only be provided for a system assigned identity.
    type String
    Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
    userAssignedIdentities Map<Property Map>
    The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests.

    ManagedServiceIdentityType, ManagedServiceIdentityTypeArgs

    None
    None
    SystemAssigned
    SystemAssigned
    UserAssigned
    UserAssigned
    SystemAssigned_UserAssigned
    SystemAssigned,UserAssigned
    ManagedServiceIdentityTypeNone
    None
    ManagedServiceIdentityTypeSystemAssigned
    SystemAssigned
    ManagedServiceIdentityTypeUserAssigned
    UserAssigned
    ManagedServiceIdentityType_SystemAssigned_UserAssigned
    SystemAssigned,UserAssigned
    None
    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

    OnlineRequestSettings, OnlineRequestSettingsArgs

    MaxConcurrentRequestsPerInstance int
    The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.
    MaxQueueWait string
    (Deprecated for Managed Online Endpoints) The maximum amount of time a request will stay in the queue in ISO 8601 format. Defaults to 500ms. (Now increase request_timeout_ms to account for any networking/queue delays)
    RequestTimeout string
    The scoring timeout in ISO 8601 format. Defaults to 5000ms.
    MaxConcurrentRequestsPerInstance int
    The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.
    MaxQueueWait string
    (Deprecated for Managed Online Endpoints) The maximum amount of time a request will stay in the queue in ISO 8601 format. Defaults to 500ms. (Now increase request_timeout_ms to account for any networking/queue delays)
    RequestTimeout string
    The scoring timeout in ISO 8601 format. Defaults to 5000ms.
    maxConcurrentRequestsPerInstance Integer
    The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.
    maxQueueWait String
    (Deprecated for Managed Online Endpoints) The maximum amount of time a request will stay in the queue in ISO 8601 format. Defaults to 500ms. (Now increase request_timeout_ms to account for any networking/queue delays)
    requestTimeout String
    The scoring timeout in ISO 8601 format. Defaults to 5000ms.
    maxConcurrentRequestsPerInstance number
    The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.
    maxQueueWait string
    (Deprecated for Managed Online Endpoints) The maximum amount of time a request will stay in the queue in ISO 8601 format. Defaults to 500ms. (Now increase request_timeout_ms to account for any networking/queue delays)
    requestTimeout string
    The scoring timeout in ISO 8601 format. Defaults to 5000ms.
    max_concurrent_requests_per_instance int
    The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.
    max_queue_wait str
    (Deprecated for Managed Online Endpoints) The maximum amount of time a request will stay in the queue in ISO 8601 format. Defaults to 500ms. (Now increase request_timeout_ms to account for any networking/queue delays)
    request_timeout str
    The scoring timeout in ISO 8601 format. Defaults to 5000ms.
    maxConcurrentRequestsPerInstance Number
    The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.
    maxQueueWait String
    (Deprecated for Managed Online Endpoints) The maximum amount of time a request will stay in the queue in ISO 8601 format. Defaults to 500ms. (Now increase request_timeout_ms to account for any networking/queue delays)
    requestTimeout String
    The scoring timeout in ISO 8601 format. Defaults to 5000ms.

    OnlineRequestSettingsResponse, OnlineRequestSettingsResponseArgs

    MaxConcurrentRequestsPerInstance int
    The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.
    MaxQueueWait string
    (Deprecated for Managed Online Endpoints) The maximum amount of time a request will stay in the queue in ISO 8601 format. Defaults to 500ms. (Now increase request_timeout_ms to account for any networking/queue delays)
    RequestTimeout string
    The scoring timeout in ISO 8601 format. Defaults to 5000ms.
    MaxConcurrentRequestsPerInstance int
    The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.
    MaxQueueWait string
    (Deprecated for Managed Online Endpoints) The maximum amount of time a request will stay in the queue in ISO 8601 format. Defaults to 500ms. (Now increase request_timeout_ms to account for any networking/queue delays)
    RequestTimeout string
    The scoring timeout in ISO 8601 format. Defaults to 5000ms.
    maxConcurrentRequestsPerInstance Integer
    The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.
    maxQueueWait String
    (Deprecated for Managed Online Endpoints) The maximum amount of time a request will stay in the queue in ISO 8601 format. Defaults to 500ms. (Now increase request_timeout_ms to account for any networking/queue delays)
    requestTimeout String
    The scoring timeout in ISO 8601 format. Defaults to 5000ms.
    maxConcurrentRequestsPerInstance number
    The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.
    maxQueueWait string
    (Deprecated for Managed Online Endpoints) The maximum amount of time a request will stay in the queue in ISO 8601 format. Defaults to 500ms. (Now increase request_timeout_ms to account for any networking/queue delays)
    requestTimeout string
    The scoring timeout in ISO 8601 format. Defaults to 5000ms.
    max_concurrent_requests_per_instance int
    The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.
    max_queue_wait str
    (Deprecated for Managed Online Endpoints) The maximum amount of time a request will stay in the queue in ISO 8601 format. Defaults to 500ms. (Now increase request_timeout_ms to account for any networking/queue delays)
    request_timeout str
    The scoring timeout in ISO 8601 format. Defaults to 5000ms.
    maxConcurrentRequestsPerInstance Number
    The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.
    maxQueueWait String
    (Deprecated for Managed Online Endpoints) The maximum amount of time a request will stay in the queue in ISO 8601 format. Defaults to 500ms. (Now increase request_timeout_ms to account for any networking/queue delays)
    requestTimeout String
    The scoring timeout in ISO 8601 format. Defaults to 5000ms.

    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.

    RequestLogging, RequestLoggingArgs

    CaptureHeaders List<string>
    For payload logging, we only collect payload by default. If customers also want to collect the specified headers, they can set them in captureHeaders so that backend will collect those headers along with payload.
    CaptureHeaders []string
    For payload logging, we only collect payload by default. If customers also want to collect the specified headers, they can set them in captureHeaders so that backend will collect those headers along with payload.
    captureHeaders List<String>
    For payload logging, we only collect payload by default. If customers also want to collect the specified headers, they can set them in captureHeaders so that backend will collect those headers along with payload.
    captureHeaders string[]
    For payload logging, we only collect payload by default. If customers also want to collect the specified headers, they can set them in captureHeaders so that backend will collect those headers along with payload.
    capture_headers Sequence[str]
    For payload logging, we only collect payload by default. If customers also want to collect the specified headers, they can set them in captureHeaders so that backend will collect those headers along with payload.
    captureHeaders List<String>
    For payload logging, we only collect payload by default. If customers also want to collect the specified headers, they can set them in captureHeaders so that backend will collect those headers along with payload.

    RequestLoggingResponse, RequestLoggingResponseArgs

    CaptureHeaders List<string>
    For payload logging, we only collect payload by default. If customers also want to collect the specified headers, they can set them in captureHeaders so that backend will collect those headers along with payload.
    CaptureHeaders []string
    For payload logging, we only collect payload by default. If customers also want to collect the specified headers, they can set them in captureHeaders so that backend will collect those headers along with payload.
    captureHeaders List<String>
    For payload logging, we only collect payload by default. If customers also want to collect the specified headers, they can set them in captureHeaders so that backend will collect those headers along with payload.
    captureHeaders string[]
    For payload logging, we only collect payload by default. If customers also want to collect the specified headers, they can set them in captureHeaders so that backend will collect those headers along with payload.
    capture_headers Sequence[str]
    For payload logging, we only collect payload by default. If customers also want to collect the specified headers, they can set them in captureHeaders so that backend will collect those headers along with payload.
    captureHeaders List<String>
    For payload logging, we only collect payload by default. If customers also want to collect the specified headers, they can set them in captureHeaders so that backend will collect those headers along with payload.

    RollingRateType, RollingRateTypeArgs

    Year
    Year
    Month
    Month
    Day
    Day
    Hour
    Hour
    Minute
    Minute
    RollingRateTypeYear
    Year
    RollingRateTypeMonth
    Month
    RollingRateTypeDay
    Day
    RollingRateTypeHour
    Hour
    RollingRateTypeMinute
    Minute
    Year
    Year
    Month
    Month
    Day
    Day
    Hour
    Hour
    Minute
    Minute
    Year
    Year
    Month
    Month
    Day
    Day
    Hour
    Hour
    Minute
    Minute
    YEAR
    Year
    MONTH
    Month
    DAY
    Day
    HOUR
    Hour
    MINUTE
    Minute
    "Year"
    Year
    "Month"
    Month
    "Day"
    Day
    "Hour"
    Hour
    "Minute"
    Minute

    Sku, SkuArgs

    Name string
    The name of the SKU. Ex - P3. It is typically a letter+number code
    Capacity int
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    Family string
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    Size string
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    Tier Pulumi.AzureNative.MachineLearningServices.SkuTier
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
    Name string
    The name of the SKU. Ex - P3. It is typically a letter+number code
    Capacity int
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    Family string
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    Size string
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    Tier SkuTier
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
    name String
    The name of the SKU. Ex - P3. It is typically a letter+number code
    capacity Integer
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    family String
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    size String
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    tier SkuTier
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
    name string
    The name of the SKU. Ex - P3. It is typically a letter+number code
    capacity number
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    family string
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    size string
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    tier SkuTier
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
    name str
    The name of the SKU. Ex - P3. It is typically a letter+number code
    capacity int
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    family str
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    size str
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    tier SkuTier
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
    name String
    The name of the SKU. Ex - P3. It is typically a letter+number code
    capacity Number
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    family String
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    size String
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    tier "Free" | "Basic" | "Standard" | "Premium"
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.

    SkuResponse, SkuResponseArgs

    Name string
    The name of the SKU. Ex - P3. It is typically a letter+number code
    Capacity int
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    Family string
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    Size string
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    Tier string
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
    Name string
    The name of the SKU. Ex - P3. It is typically a letter+number code
    Capacity int
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    Family string
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    Size string
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    Tier string
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
    name String
    The name of the SKU. Ex - P3. It is typically a letter+number code
    capacity Integer
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    family String
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    size String
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    tier String
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
    name string
    The name of the SKU. Ex - P3. It is typically a letter+number code
    capacity number
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    family string
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    size string
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    tier string
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
    name str
    The name of the SKU. Ex - P3. It is typically a letter+number code
    capacity int
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    family str
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    size str
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    tier str
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
    name String
    The name of the SKU. Ex - P3. It is typically a letter+number code
    capacity Number
    If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted.
    family String
    If the service has different generations of hardware, for the same SKU, then that can be captured here.
    size String
    The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code.
    tier String
    This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.

    SkuTier, SkuTierArgs

    Free
    Free
    Basic
    Basic
    Standard
    Standard
    Premium
    Premium
    SkuTierFree
    Free
    SkuTierBasic
    Basic
    SkuTierStandard
    Standard
    SkuTierPremium
    Premium
    Free
    Free
    Basic
    Basic
    Standard
    Standard
    Premium
    Premium
    Free
    Free
    Basic
    Basic
    Standard
    Standard
    Premium
    Premium
    FREE
    Free
    BASIC
    Basic
    STANDARD
    Standard
    PREMIUM
    Premium
    "Free"
    Free
    "Basic"
    Basic
    "Standard"
    Standard
    "Premium"
    Premium

    SystemDataResponse, SystemDataResponseArgs

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

    TargetUtilizationScaleSettings, TargetUtilizationScaleSettingsArgs

    MaxInstances int
    The maximum number of instances that the deployment can scale to. The quota will be reserved for max_instances.
    MinInstances int
    The minimum number of instances to always be present.
    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
    The maximum number of instances that the deployment can scale to. The quota will be reserved for max_instances.
    MinInstances int
    The minimum number of instances to always be present.
    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
    The maximum number of instances that the deployment can scale to. The quota will be reserved for max_instances.
    minInstances Integer
    The minimum number of instances to always be present.
    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
    The maximum number of instances that the deployment can scale to. The quota will be reserved for max_instances.
    minInstances number
    The minimum number of instances to always be present.
    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
    The maximum number of instances that the deployment can scale to. The quota will be reserved for max_instances.
    min_instances int
    The minimum number of instances to always be present.
    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
    The maximum number of instances that the deployment can scale to. The quota will be reserved for max_instances.
    minInstances Number
    The minimum number of instances to always be present.
    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.

    TargetUtilizationScaleSettingsResponse, TargetUtilizationScaleSettingsResponseArgs

    MaxInstances int
    The maximum number of instances that the deployment can scale to. The quota will be reserved for max_instances.
    MinInstances int
    The minimum number of instances to always be present.
    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
    The maximum number of instances that the deployment can scale to. The quota will be reserved for max_instances.
    MinInstances int
    The minimum number of instances to always be present.
    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
    The maximum number of instances that the deployment can scale to. The quota will be reserved for max_instances.
    minInstances Integer
    The minimum number of instances to always be present.
    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
    The maximum number of instances that the deployment can scale to. The quota will be reserved for max_instances.
    minInstances number
    The minimum number of instances to always be present.
    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
    The maximum number of instances that the deployment can scale to. The quota will be reserved for max_instances.
    min_instances int
    The minimum number of instances to always be present.
    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
    The maximum number of instances that the deployment can scale to. The quota will be reserved for max_instances.
    minInstances Number
    The minimum number of instances to always be present.
    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.

    UserAssignedIdentityResponse, UserAssignedIdentityResponseArgs

    ClientId string
    The client ID of the assigned identity.
    PrincipalId string
    The principal ID of the assigned identity.
    TenantId string
    The tenant ID of the user assigned identity.
    ClientId string
    The client ID of the assigned identity.
    PrincipalId string
    The principal ID of the assigned identity.
    TenantId string
    The tenant ID of the user assigned identity.
    clientId String
    The client ID of the assigned identity.
    principalId String
    The principal ID of the assigned identity.
    tenantId String
    The tenant ID of the user assigned identity.
    clientId string
    The client ID of the assigned identity.
    principalId string
    The principal ID of the assigned identity.
    tenantId string
    The tenant ID of the user assigned identity.
    client_id str
    The client ID of the assigned identity.
    principal_id str
    The principal ID of the assigned identity.
    tenant_id str
    The tenant ID of the user assigned identity.
    clientId String
    The client ID of the assigned identity.
    principalId String
    The principal ID of the assigned identity.
    tenantId String
    The tenant ID of the user assigned identity.

    Package Details

    Repository
    Azure Native pulumi/pulumi-azure-native
    License
    Apache-2.0
    azure-native logo
    This is the latest version of Azure Native. Use the Azure Native v2 docs if using the v2 version of this package.
    Azure Native v3.3.0 published on Monday, Apr 28, 2025 by Pulumi
    pulumi/pulumi-azure-native