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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.InferenceGroup

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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 2025-01-01-preview. In version 2.x of the Azure Native provider, it used API version 2023-08-01-preview.

    Other available API versions: 2023-08-01-preview, 2024-01-01-preview, 2024-10-01-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:InferenceGroup string /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/inferencePools/{poolName}/groups/{groupName}

    Create InferenceGroup Resource

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

    Constructor syntax

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

@overload
def InferenceGroup(resource_name: str,
                   opts: Optional[ResourceOptions] = None,
                   inference_group_properties: Optional[InferenceGroupArgs] = None,
                   pool_name: Optional[str] = None,
                   resource_group_name: Optional[str] = None,
                   workspace_name: Optional[str] = None,
                   group_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 NewInferenceGroup(ctx *Context, name string, args InferenceGroupArgs, opts ...ResourceOption) (*InferenceGroup, error)
    public InferenceGroup(string name, InferenceGroupArgs args, CustomResourceOptions? opts = null)
    public InferenceGroup(String name, InferenceGroupArgs args)
public InferenceGroup(String name, InferenceGroupArgs args, CustomResourceOptions options)

    type: azure-native:machinelearningservices:InferenceGroup
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 InferenceGroupArgs
    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 InferenceGroupInitArgs
    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 InferenceGroupArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args InferenceGroupArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args InferenceGroupArgs
    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 inferenceGroupResource = new AzureNative.MachineLearningServices.InferenceGroup("inferenceGroupResource", new()
{
    InferenceGroupProperties = new AzureNative.MachineLearningServices.Inputs.InferenceGroupArgs
    {
        Description = "string",
        EnvironmentConfiguration = new AzureNative.MachineLearningServices.Inputs.GroupEnvironmentConfigurationArgs
        {
            EnvironmentId = "string",
            EnvironmentVariables = new[]
            {
                new AzureNative.MachineLearningServices.Inputs.StringStringKeyValuePairArgs
                {
                    Key = "string",
                    Value = "string",
                },
            },
            LivenessProbe = new AzureNative.MachineLearningServices.Inputs.ProbeSettingsArgs
            {
                FailureThreshold = 0,
                InitialDelay = "string",
                Period = "string",
                SuccessThreshold = 0,
                Timeout = "string",
            },
            ReadinessProbe = new AzureNative.MachineLearningServices.Inputs.ProbeSettingsArgs
            {
                FailureThreshold = 0,
                InitialDelay = "string",
                Period = "string",
                SuccessThreshold = 0,
                Timeout = "string",
            },
            StartupProbe = new AzureNative.MachineLearningServices.Inputs.ProbeSettingsArgs
            {
                FailureThreshold = 0,
                InitialDelay = "string",
                Period = "string",
                SuccessThreshold = 0,
                Timeout = "string",
            },
        },
        ModelConfiguration = new AzureNative.MachineLearningServices.Inputs.GroupModelConfigurationArgs
        {
            ModelId = "string",
        },
        NodeSkuType = "string",
        Properties = new[]
        {
            new AzureNative.MachineLearningServices.Inputs.StringStringKeyValuePairArgs
            {
                Key = "string",
                Value = "string",
            },
        },
        ScaleUnitSize = 0,
    },
    PoolName = "string",
    ResourceGroupName = "string",
    WorkspaceName = "string",
    GroupName = "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.NewInferenceGroup(ctx, "inferenceGroupResource", &machinelearningservices.InferenceGroupArgs{
	InferenceGroupProperties: &machinelearningservices.InferenceGroupTypeArgs{
		Description: pulumi.String("string"),
		EnvironmentConfiguration: &machinelearningservices.GroupEnvironmentConfigurationArgs{
			EnvironmentId: pulumi.String("string"),
			EnvironmentVariables: machinelearningservices.StringStringKeyValuePairArray{
				&machinelearningservices.StringStringKeyValuePairArgs{
					Key:   pulumi.String("string"),
					Value: 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"),
			},
			ReadinessProbe: &machinelearningservices.ProbeSettingsArgs{
				FailureThreshold: pulumi.Int(0),
				InitialDelay:     pulumi.String("string"),
				Period:           pulumi.String("string"),
				SuccessThreshold: pulumi.Int(0),
				Timeout:          pulumi.String("string"),
			},
			StartupProbe: &machinelearningservices.ProbeSettingsArgs{
				FailureThreshold: pulumi.Int(0),
				InitialDelay:     pulumi.String("string"),
				Period:           pulumi.String("string"),
				SuccessThreshold: pulumi.Int(0),
				Timeout:          pulumi.String("string"),
			},
		},
		ModelConfiguration: &machinelearningservices.GroupModelConfigurationArgs{
			ModelId: pulumi.String("string"),
		},
		NodeSkuType: pulumi.String("string"),
		Properties: machinelearningservices.StringStringKeyValuePairArray{
			&machinelearningservices.StringStringKeyValuePairArgs{
				Key:   pulumi.String("string"),
				Value: pulumi.String("string"),
			},
		},
		ScaleUnitSize: pulumi.Int(0),
	},
	PoolName:          pulumi.String("string"),
	ResourceGroupName: pulumi.String("string"),
	WorkspaceName:     pulumi.String("string"),
	GroupName:         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 inferenceGroupResource = new InferenceGroup("inferenceGroupResource", InferenceGroupArgs.builder()
    .inferenceGroupProperties(InferenceGroupArgs.builder()
        .description("string")
        .environmentConfiguration(GroupEnvironmentConfigurationArgs.builder()
            .environmentId("string")
            .environmentVariables(StringStringKeyValuePairArgs.builder()
                .key("string")
                .value("string")
                .build())
            .livenessProbe(ProbeSettingsArgs.builder()
                .failureThreshold(0)
                .initialDelay("string")
                .period("string")
                .successThreshold(0)
                .timeout("string")
                .build())
            .readinessProbe(ProbeSettingsArgs.builder()
                .failureThreshold(0)
                .initialDelay("string")
                .period("string")
                .successThreshold(0)
                .timeout("string")
                .build())
            .startupProbe(ProbeSettingsArgs.builder()
                .failureThreshold(0)
                .initialDelay("string")
                .period("string")
                .successThreshold(0)
                .timeout("string")
                .build())
            .build())
        .modelConfiguration(GroupModelConfigurationArgs.builder()
            .modelId("string")
            .build())
        .nodeSkuType("string")
        .properties(StringStringKeyValuePairArgs.builder()
            .key("string")
            .value("string")
            .build())
        .scaleUnitSize(0)
        .build())
    .poolName("string")
    .resourceGroupName("string")
    .workspaceName("string")
    .groupName("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());

    inference_group_resource = azure_native.machinelearningservices.InferenceGroup("inferenceGroupResource",
    inference_group_properties={
        "description": "string",
        "environment_configuration": {
            "environment_id": "string",
            "environment_variables": [{
                "key": "string",
                "value": "string",
            }],
            "liveness_probe": {
                "failure_threshold": 0,
                "initial_delay": "string",
                "period": "string",
                "success_threshold": 0,
                "timeout": "string",
            },
            "readiness_probe": {
                "failure_threshold": 0,
                "initial_delay": "string",
                "period": "string",
                "success_threshold": 0,
                "timeout": "string",
            },
            "startup_probe": {
                "failure_threshold": 0,
                "initial_delay": "string",
                "period": "string",
                "success_threshold": 0,
                "timeout": "string",
            },
        },
        "model_configuration": {
            "model_id": "string",
        },
        "node_sku_type": "string",
        "properties": [{
            "key": "string",
            "value": "string",
        }],
        "scale_unit_size": 0,
    },
    pool_name="string",
    resource_group_name="string",
    workspace_name="string",
    group_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 inferenceGroupResource = new azure_native.machinelearningservices.InferenceGroup("inferenceGroupResource", {
    inferenceGroupProperties: {
        description: "string",
        environmentConfiguration: {
            environmentId: "string",
            environmentVariables: [{
                key: "string",
                value: "string",
            }],
            livenessProbe: {
                failureThreshold: 0,
                initialDelay: "string",
                period: "string",
                successThreshold: 0,
                timeout: "string",
            },
            readinessProbe: {
                failureThreshold: 0,
                initialDelay: "string",
                period: "string",
                successThreshold: 0,
                timeout: "string",
            },
            startupProbe: {
                failureThreshold: 0,
                initialDelay: "string",
                period: "string",
                successThreshold: 0,
                timeout: "string",
            },
        },
        modelConfiguration: {
            modelId: "string",
        },
        nodeSkuType: "string",
        properties: [{
            key: "string",
            value: "string",
        }],
        scaleUnitSize: 0,
    },
    poolName: "string",
    resourceGroupName: "string",
    workspaceName: "string",
    groupName: "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:InferenceGroup
properties:
    groupName: string
    identity:
        type: string
        userAssignedIdentities:
            - string
    inferenceGroupProperties:
        description: string
        environmentConfiguration:
            environmentId: string
            environmentVariables:
                - key: string
                  value: string
            livenessProbe:
                failureThreshold: 0
                initialDelay: string
                period: string
                successThreshold: 0
                timeout: string
            readinessProbe:
                failureThreshold: 0
                initialDelay: string
                period: string
                successThreshold: 0
                timeout: string
            startupProbe:
                failureThreshold: 0
                initialDelay: string
                period: string
                successThreshold: 0
                timeout: string
        modelConfiguration:
            modelId: string
        nodeSkuType: string
        properties:
            - key: string
              value: string
        scaleUnitSize: 0
    kind: string
    location: string
    poolName: string
    resourceGroupName: string
    sku:
        capacity: 0
        family: string
        name: string
        size: string
        tier: Free
    tags:
        string: string
    workspaceName: string

    InferenceGroup 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 InferenceGroup resource accepts the following input properties:

    InferenceGroupProperties Pulumi.AzureNative.MachineLearningServices.Inputs.InferenceGroup
    [Required] Additional attributes of the entity.
    PoolName string
    InferencePool name.
    ResourceGroupName string
    The name of the resource group. The name is case insensitive.
    WorkspaceName string
    Name of Azure Machine Learning workspace.
    GroupName string
    InferenceGroup 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.
    InferenceGroupProperties InferenceGroupTypeArgs
    [Required] Additional attributes of the entity.
    PoolName string
    InferencePool name.
    ResourceGroupName string
    The name of the resource group. The name is case insensitive.
    WorkspaceName string
    Name of Azure Machine Learning workspace.
    GroupName string
    InferenceGroup 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.
    inferenceGroupProperties InferenceGroup
    [Required] Additional attributes of the entity.
    poolName String
    InferencePool name.
    resourceGroupName String
    The name of the resource group. The name is case insensitive.
    workspaceName String
    Name of Azure Machine Learning workspace.
    groupName String
    InferenceGroup 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.
    inferenceGroupProperties InferenceGroup
    [Required] Additional attributes of the entity.
    poolName string
    InferencePool name.
    resourceGroupName string
    The name of the resource group. The name is case insensitive.
    workspaceName string
    Name of Azure Machine Learning workspace.
    groupName string
    InferenceGroup 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.
    inference_group_properties InferenceGroupArgs
    [Required] Additional attributes of the entity.
    pool_name str
    InferencePool name.
    resource_group_name str
    The name of the resource group. The name is case insensitive.
    workspace_name str
    Name of Azure Machine Learning workspace.
    group_name str
    InferenceGroup 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.
    inferenceGroupProperties Property Map
    [Required] Additional attributes of the entity.
    poolName String
    InferencePool name.
    resourceGroupName String
    The name of the resource group. The name is case insensitive.
    workspaceName String
    Name of Azure Machine Learning workspace.
    groupName String
    InferenceGroup 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 InferenceGroup 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

    GroupEnvironmentConfiguration, GroupEnvironmentConfigurationArgs

    EnvironmentId string
    ARM resource ID of the environment specification for the inference pool.
    EnvironmentVariables List<Pulumi.AzureNative.MachineLearningServices.Inputs.StringStringKeyValuePair>
    Environment variables configuration for the inference pool.
    LivenessProbe Pulumi.AzureNative.MachineLearningServices.Inputs.ProbeSettings
    Liveness probe monitors the health of the container regularly.
    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.
    StartupProbe Pulumi.AzureNative.MachineLearningServices.Inputs.ProbeSettings
    This verifies whether the application within a container is started. Startup probes run before any other probe, and, unless it finishes successfully, disables other probes.
    EnvironmentId string
    ARM resource ID of the environment specification for the inference pool.
    EnvironmentVariables []StringStringKeyValuePair
    Environment variables configuration for the inference pool.
    LivenessProbe ProbeSettings
    Liveness probe monitors the health of the container regularly.
    ReadinessProbe ProbeSettings
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    StartupProbe ProbeSettings
    This verifies whether the application within a container is started. Startup probes run before any other probe, and, unless it finishes successfully, disables other probes.
    environmentId String
    ARM resource ID of the environment specification for the inference pool.
    environmentVariables List<StringStringKeyValuePair>
    Environment variables configuration for the inference pool.
    livenessProbe ProbeSettings
    Liveness probe monitors the health of the container regularly.
    readinessProbe ProbeSettings
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    startupProbe ProbeSettings
    This verifies whether the application within a container is started. Startup probes run before any other probe, and, unless it finishes successfully, disables other probes.
    environmentId string
    ARM resource ID of the environment specification for the inference pool.
    environmentVariables StringStringKeyValuePair[]
    Environment variables configuration for the inference pool.
    livenessProbe ProbeSettings
    Liveness probe monitors the health of the container regularly.
    readinessProbe ProbeSettings
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    startupProbe ProbeSettings
    This verifies whether the application within a container is started. Startup probes run before any other probe, and, unless it finishes successfully, disables other probes.
    environment_id str
    ARM resource ID of the environment specification for the inference pool.
    environment_variables Sequence[StringStringKeyValuePair]
    Environment variables configuration for the inference pool.
    liveness_probe ProbeSettings
    Liveness probe monitors the health of the container regularly.
    readiness_probe ProbeSettings
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    startup_probe ProbeSettings
    This verifies whether the application within a container is started. Startup probes run before any other probe, and, unless it finishes successfully, disables other probes.
    environmentId String
    ARM resource ID of the environment specification for the inference pool.
    environmentVariables List<Property Map>
    Environment variables configuration for the inference pool.
    livenessProbe Property Map
    Liveness probe monitors the health of the container regularly.
    readinessProbe Property Map
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    startupProbe Property Map
    This verifies whether the application within a container is started. Startup probes run before any other probe, and, unless it finishes successfully, disables other probes.

    GroupEnvironmentConfigurationResponse, GroupEnvironmentConfigurationResponseArgs

    EnvironmentId string
    ARM resource ID of the environment specification for the inference pool.
    EnvironmentVariables List<Pulumi.AzureNative.MachineLearningServices.Inputs.StringStringKeyValuePairResponse>
    Environment variables configuration for the inference pool.
    LivenessProbe Pulumi.AzureNative.MachineLearningServices.Inputs.ProbeSettingsResponse
    Liveness probe monitors the health of the container regularly.
    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.
    StartupProbe Pulumi.AzureNative.MachineLearningServices.Inputs.ProbeSettingsResponse
    This verifies whether the application within a container is started. Startup probes run before any other probe, and, unless it finishes successfully, disables other probes.
    EnvironmentId string
    ARM resource ID of the environment specification for the inference pool.
    EnvironmentVariables []StringStringKeyValuePairResponse
    Environment variables configuration for the inference pool.
    LivenessProbe ProbeSettingsResponse
    Liveness probe monitors the health of the container regularly.
    ReadinessProbe ProbeSettingsResponse
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    StartupProbe ProbeSettingsResponse
    This verifies whether the application within a container is started. Startup probes run before any other probe, and, unless it finishes successfully, disables other probes.
    environmentId String
    ARM resource ID of the environment specification for the inference pool.
    environmentVariables List<StringStringKeyValuePairResponse>
    Environment variables configuration for the inference pool.
    livenessProbe ProbeSettingsResponse
    Liveness probe monitors the health of the container regularly.
    readinessProbe ProbeSettingsResponse
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    startupProbe ProbeSettingsResponse
    This verifies whether the application within a container is started. Startup probes run before any other probe, and, unless it finishes successfully, disables other probes.
    environmentId string
    ARM resource ID of the environment specification for the inference pool.
    environmentVariables StringStringKeyValuePairResponse[]
    Environment variables configuration for the inference pool.
    livenessProbe ProbeSettingsResponse
    Liveness probe monitors the health of the container regularly.
    readinessProbe ProbeSettingsResponse
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    startupProbe ProbeSettingsResponse
    This verifies whether the application within a container is started. Startup probes run before any other probe, and, unless it finishes successfully, disables other probes.
    environment_id str
    ARM resource ID of the environment specification for the inference pool.
    environment_variables Sequence[StringStringKeyValuePairResponse]
    Environment variables configuration for the inference pool.
    liveness_probe ProbeSettingsResponse
    Liveness probe monitors the health of the container regularly.
    readiness_probe ProbeSettingsResponse
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    startup_probe ProbeSettingsResponse
    This verifies whether the application within a container is started. Startup probes run before any other probe, and, unless it finishes successfully, disables other probes.
    environmentId String
    ARM resource ID of the environment specification for the inference pool.
    environmentVariables List<Property Map>
    Environment variables configuration for the inference pool.
    livenessProbe Property Map
    Liveness probe monitors the health of the container regularly.
    readinessProbe Property Map
    Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
    startupProbe Property Map
    This verifies whether the application within a container is started. Startup probes run before any other probe, and, unless it finishes successfully, disables other probes.

    GroupModelConfiguration, GroupModelConfigurationArgs

    ModelId string
    The URI path to the model.
    ModelId string
    The URI path to the model.
    modelId String
    The URI path to the model.
    modelId string
    The URI path to the model.
    model_id str
    The URI path to the model.
    modelId String
    The URI path to the model.

    GroupModelConfigurationResponse, GroupModelConfigurationResponseArgs

    ModelId string
    The URI path to the model.
    ModelId string
    The URI path to the model.
    modelId String
    The URI path to the model.
    modelId string
    The URI path to the model.
    model_id str
    The URI path to the model.
    modelId String
    The URI path to the model.

    InferenceGroup, InferenceGroupArgs

    Description string
    Description of the resource.
    EnvironmentConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.GroupEnvironmentConfiguration
    Gets or sets environment configuration for the inference group. Used if PoolType=ScaleUnit.
    ModelConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.GroupModelConfiguration
    Gets or sets model configuration for the inference group. Used if PoolType=ScaleUnit.
    NodeSkuType string
    Gets or sets compute instance type.
    Properties List<Pulumi.AzureNative.MachineLearningServices.Inputs.StringStringKeyValuePair>
    Property dictionary. Properties can be added, but not removed or altered.
    ScaleUnitSize int
    Gets or sets Scale Unit size.
    Description string
    Description of the resource.
    EnvironmentConfiguration GroupEnvironmentConfiguration
    Gets or sets environment configuration for the inference group. Used if PoolType=ScaleUnit.
    ModelConfiguration GroupModelConfiguration
    Gets or sets model configuration for the inference group. Used if PoolType=ScaleUnit.
    NodeSkuType string
    Gets or sets compute instance type.
    Properties []StringStringKeyValuePair
    Property dictionary. Properties can be added, but not removed or altered.
    ScaleUnitSize int
    Gets or sets Scale Unit size.
    description String
    Description of the resource.
    environmentConfiguration GroupEnvironmentConfiguration
    Gets or sets environment configuration for the inference group. Used if PoolType=ScaleUnit.
    modelConfiguration GroupModelConfiguration
    Gets or sets model configuration for the inference group. Used if PoolType=ScaleUnit.
    nodeSkuType String
    Gets or sets compute instance type.
    properties List<StringStringKeyValuePair>
    Property dictionary. Properties can be added, but not removed or altered.
    scaleUnitSize Integer
    Gets or sets Scale Unit size.
    description string
    Description of the resource.
    environmentConfiguration GroupEnvironmentConfiguration
    Gets or sets environment configuration for the inference group. Used if PoolType=ScaleUnit.
    modelConfiguration GroupModelConfiguration
    Gets or sets model configuration for the inference group. Used if PoolType=ScaleUnit.
    nodeSkuType string
    Gets or sets compute instance type.
    properties StringStringKeyValuePair[]
    Property dictionary. Properties can be added, but not removed or altered.
    scaleUnitSize number
    Gets or sets Scale Unit size.
    description str
    Description of the resource.
    environment_configuration GroupEnvironmentConfiguration
    Gets or sets environment configuration for the inference group. Used if PoolType=ScaleUnit.
    model_configuration GroupModelConfiguration
    Gets or sets model configuration for the inference group. Used if PoolType=ScaleUnit.
    node_sku_type str
    Gets or sets compute instance type.
    properties Sequence[StringStringKeyValuePair]
    Property dictionary. Properties can be added, but not removed or altered.
    scale_unit_size int
    Gets or sets Scale Unit size.
    description String
    Description of the resource.
    environmentConfiguration Property Map
    Gets or sets environment configuration for the inference group. Used if PoolType=ScaleUnit.
    modelConfiguration Property Map
    Gets or sets model configuration for the inference group. Used if PoolType=ScaleUnit.
    nodeSkuType String
    Gets or sets compute instance type.
    properties List<Property Map>
    Property dictionary. Properties can be added, but not removed or altered.
    scaleUnitSize Number
    Gets or sets Scale Unit size.

    InferenceGroupResponse, InferenceGroupResponseArgs

    ProvisioningState string
    Provisioning state for the inference group.
    Description string
    Description of the resource.
    EnvironmentConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.GroupEnvironmentConfigurationResponse
    Gets or sets environment configuration for the inference group. Used if PoolType=ScaleUnit.
    ModelConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.GroupModelConfigurationResponse
    Gets or sets model configuration for the inference group. Used if PoolType=ScaleUnit.
    NodeSkuType string
    Gets or sets compute instance type.
    Properties List<Pulumi.AzureNative.MachineLearningServices.Inputs.StringStringKeyValuePairResponse>
    Property dictionary. Properties can be added, but not removed or altered.
    ScaleUnitSize int
    Gets or sets Scale Unit size.
    ProvisioningState string
    Provisioning state for the inference group.
    Description string
    Description of the resource.
    EnvironmentConfiguration GroupEnvironmentConfigurationResponse
    Gets or sets environment configuration for the inference group. Used if PoolType=ScaleUnit.
    ModelConfiguration GroupModelConfigurationResponse
    Gets or sets model configuration for the inference group. Used if PoolType=ScaleUnit.
    NodeSkuType string
    Gets or sets compute instance type.
    Properties []StringStringKeyValuePairResponse
    Property dictionary. Properties can be added, but not removed or altered.
    ScaleUnitSize int
    Gets or sets Scale Unit size.
    provisioningState String
    Provisioning state for the inference group.
    description String
    Description of the resource.
    environmentConfiguration GroupEnvironmentConfigurationResponse
    Gets or sets environment configuration for the inference group. Used if PoolType=ScaleUnit.
    modelConfiguration GroupModelConfigurationResponse
    Gets or sets model configuration for the inference group. Used if PoolType=ScaleUnit.
    nodeSkuType String
    Gets or sets compute instance type.
    properties List<StringStringKeyValuePairResponse>
    Property dictionary. Properties can be added, but not removed or altered.
    scaleUnitSize Integer
    Gets or sets Scale Unit size.
    provisioningState string
    Provisioning state for the inference group.
    description string
    Description of the resource.
    environmentConfiguration GroupEnvironmentConfigurationResponse
    Gets or sets environment configuration for the inference group. Used if PoolType=ScaleUnit.
    modelConfiguration GroupModelConfigurationResponse
    Gets or sets model configuration for the inference group. Used if PoolType=ScaleUnit.
    nodeSkuType string
    Gets or sets compute instance type.
    properties StringStringKeyValuePairResponse[]
    Property dictionary. Properties can be added, but not removed or altered.
    scaleUnitSize number
    Gets or sets Scale Unit size.
    provisioning_state str
    Provisioning state for the inference group.
    description str
    Description of the resource.
    environment_configuration GroupEnvironmentConfigurationResponse
    Gets or sets environment configuration for the inference group. Used if PoolType=ScaleUnit.
    model_configuration GroupModelConfigurationResponse
    Gets or sets model configuration for the inference group. Used if PoolType=ScaleUnit.
    node_sku_type str
    Gets or sets compute instance type.
    properties Sequence[StringStringKeyValuePairResponse]
    Property dictionary. Properties can be added, but not removed or altered.
    scale_unit_size int
    Gets or sets Scale Unit size.
    provisioningState String
    Provisioning state for the inference group.
    description String
    Description of the resource.
    environmentConfiguration Property Map
    Gets or sets environment configuration for the inference group. Used if PoolType=ScaleUnit.
    modelConfiguration Property Map
    Gets or sets model configuration for the inference group. Used if PoolType=ScaleUnit.
    nodeSkuType String
    Gets or sets compute instance type.
    properties List<Property Map>
    Property dictionary. Properties can be added, but not removed or altered.
    scaleUnitSize Number
    Gets or sets Scale Unit size.

    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

    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.

    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

    StringStringKeyValuePair, StringStringKeyValuePairArgs

    Key string
    Value string
    Key string
    Value string
    key String
    value String
    key string
    value string
    key str
    value str
    key String
    value String

    StringStringKeyValuePairResponse, StringStringKeyValuePairResponseArgs

    Key string
    Value string
    Key string
    Value string
    key String
    value String
    key string
    value string
    key str
    value str
    key String
    value String

    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.

    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