azure-native.machinelearningservices.OnlineDeployment
Explore with Pulumi AI
Azure REST API version: 2023-04-01. Prior API version in Azure Native 1.x: 2021-03-01-preview.
Other available API versions: 2021-03-01-preview, 2022-02-01-preview, 2023-04-01-preview, 2023-06-01-preview, 2023-08-01-preview, 2023-10-01, 2024-01-01-preview, 2024-04-01, 2024-04-01-preview, 2024-07-01-preview, 2024-10-01, 2024-10-01-preview.
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",
InstanceType = "string",
LivenessProbe = new AzureNative.MachineLearningServices.Inputs.ProbeSettingsArgs
{
FailureThreshold = 0,
InitialDelay = "string",
Period = "string",
SuccessThreshold = 0,
Timeout = "string",
},
Description = "string",
EgressPublicNetworkAccess = "string",
CodeConfiguration = new AzureNative.MachineLearningServices.Inputs.CodeConfigurationArgs
{
ScoringScript = "string",
CodeId = "string",
},
EnvironmentId = "string",
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",
},
},
AppInsightsEnabled = false,
EnvironmentVariables =
{
{ "string", "string" },
},
Model = "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",
},
},
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"),
InstanceType: 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"),
},
Description: pulumi.String("string"),
EgressPublicNetworkAccess: pulumi.String("string"),
CodeConfiguration: &machinelearningservices.CodeConfigurationArgs{
ScoringScript: pulumi.String("string"),
CodeId: pulumi.String("string"),
},
EnvironmentId: pulumi.String("string"),
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"),
},
},
AppInsightsEnabled: pulumi.Bool(false),
EnvironmentVariables: pulumi.StringMap{
"string": pulumi.String("string"),
},
Model: 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",
},
},
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")
.instanceType("string")
.livenessProbe(ProbeSettingsArgs.builder()
.failureThreshold(0)
.initialDelay("string")
.period("string")
.successThreshold(0)
.timeout("string")
.build())
.description("string")
.egressPublicNetworkAccess("string")
.codeConfiguration(CodeConfigurationArgs.builder()
.scoringScript("string")
.codeId("string")
.build())
.environmentId("string")
.containerResourceRequirements(ContainerResourceRequirementsArgs.builder()
.containerResourceLimits(ContainerResourceSettingsArgs.builder()
.cpu("string")
.gpu("string")
.memory("string")
.build())
.containerResourceRequests(ContainerResourceSettingsArgs.builder()
.cpu("string")
.gpu("string")
.memory("string")
.build())
.build())
.appInsightsEnabled(false)
.environmentVariables(Map.of("string", "string"))
.model("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())
.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",
"instance_type": "string",
"liveness_probe": {
"failure_threshold": 0,
"initial_delay": "string",
"period": "string",
"success_threshold": 0,
"timeout": "string",
},
"description": "string",
"egress_public_network_access": "string",
"code_configuration": {
"scoring_script": "string",
"code_id": "string",
},
"environment_id": "string",
"container_resource_requirements": {
"container_resource_limits": {
"cpu": "string",
"gpu": "string",
"memory": "string",
},
"container_resource_requests": {
"cpu": "string",
"gpu": "string",
"memory": "string",
},
},
"app_insights_enabled": False,
"environment_variables": {
"string": "string",
},
"model": "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",
},
},
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",
instanceType: "string",
livenessProbe: {
failureThreshold: 0,
initialDelay: "string",
period: "string",
successThreshold: 0,
timeout: "string",
},
description: "string",
egressPublicNetworkAccess: "string",
codeConfiguration: {
scoringScript: "string",
codeId: "string",
},
environmentId: "string",
containerResourceRequirements: {
containerResourceLimits: {
cpu: "string",
gpu: "string",
memory: "string",
},
containerResourceRequests: {
cpu: "string",
gpu: "string",
memory: "string",
},
},
appInsightsEnabled: false,
environmentVariables: {
string: "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",
},
},
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
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
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:
- Endpoint
Name string - Inference endpoint name.
- Online
Deployment Pulumi.Properties Azure | Pulumi.Native. Machine Learning Services. Inputs. Kubernetes Online Deployment Azure Native. Machine Learning Services. Inputs. Managed Online Deployment - [Required] Additional attributes of the entity.
- Resource
Group stringName - The name of the resource group. The name is case insensitive.
- Workspace
Name string - Name of Azure Machine Learning workspace.
- Deployment
Name string - Inference Endpoint Deployment name.
- Identity
Pulumi.
Azure Native. Machine Learning Services. Inputs. Managed Service Identity - 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.
Azure Native. Machine Learning Services. Inputs. Sku - Sku details required for ARM contract for Autoscaling.
- Dictionary<string, string>
- Resource tags.
- Endpoint
Name string - Inference endpoint name.
- Online
Deployment KubernetesProperties Online | ManagedDeployment Args Online Deployment Args - [Required] Additional attributes of the entity.
- Resource
Group stringName - The name of the resource group. The name is case insensitive.
- Workspace
Name string - Name of Azure Machine Learning workspace.
- Deployment
Name string - Inference Endpoint Deployment name.
- Identity
Managed
Service Identity Args - 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
Args - Sku details required for ARM contract for Autoscaling.
- map[string]string
- Resource tags.
- endpoint
Name String - Inference endpoint name.
- online
Deployment KubernetesProperties Online | ManagedDeployment Online Deployment - [Required] Additional attributes of the entity.
- resource
Group StringName - The name of the resource group. The name is case insensitive.
- workspace
Name String - Name of Azure Machine Learning workspace.
- deployment
Name String - Inference Endpoint Deployment name.
- identity
Managed
Service Identity - 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.
- Map<String,String>
- Resource tags.
- endpoint
Name string - Inference endpoint name.
- online
Deployment KubernetesProperties Online | ManagedDeployment Online Deployment - [Required] Additional attributes of the entity.
- resource
Group stringName - The name of the resource group. The name is case insensitive.
- workspace
Name string - Name of Azure Machine Learning workspace.
- deployment
Name string - Inference Endpoint Deployment name.
- identity
Managed
Service Identity - 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.
- {[key: string]: string}
- Resource tags.
- endpoint_
name str - Inference endpoint name.
- online_
deployment_ Kubernetesproperties Online | ManagedDeployment Args Online Deployment Args - [Required] Additional attributes of the entity.
- resource_
group_ strname - 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
Managed
Service Identity Args - 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
Sku
Args - Sku details required for ARM contract for Autoscaling.
- Mapping[str, str]
- Resource tags.
- endpoint
Name String - Inference endpoint name.
- online
Deployment Property Map | Property MapProperties - [Required] Additional attributes of the entity.
- resource
Group StringName - The name of the resource group. The name is case insensitive.
- workspace
Name String - Name of Azure Machine Learning workspace.
- deployment
Name 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.
- Map<String>
- Resource tags.
Outputs
All input properties are implicitly available as output properties. Additionally, the OnlineDeployment resource produces the following output properties:
- Id string
- The provider-assigned unique ID for this managed resource.
- Name string
- The name of the resource
- System
Data Pulumi.Azure Native. Machine Learning Services. Outputs. System Data Response - 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"
- Id string
- The provider-assigned unique ID for this managed resource.
- Name string
- The name of the resource
- System
Data SystemData Response - 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"
- id String
- The provider-assigned unique ID for this managed resource.
- name String
- The name of the resource
- system
Data SystemData Response - 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"
- id string
- The provider-assigned unique ID for this managed resource.
- name string
- The name of the resource
- system
Data SystemData Response - 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"
- id str
- The provider-assigned unique ID for this managed resource.
- name str
- The name of the resource
- system_
data SystemData Response - 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"
- id String
- The provider-assigned unique ID for this managed resource.
- name String
- The name of the resource
- system
Data 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
- Scoring
Script string - [Required] The script to execute on startup. eg. "score.py"
- Code
Id string - ARM resource ID of the code asset.
- Scoring
Script string - [Required] The script to execute on startup. eg. "score.py"
- Code
Id string - ARM resource ID of the code asset.
- scoring
Script String - [Required] The script to execute on startup. eg. "score.py"
- code
Id String - ARM resource ID of the code asset.
- scoring
Script string - [Required] The script to execute on startup. eg. "score.py"
- code
Id 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.
- scoring
Script String - [Required] The script to execute on startup. eg. "score.py"
- code
Id String - ARM resource ID of the code asset.
CodeConfigurationResponse, CodeConfigurationResponseArgs
- Scoring
Script string - [Required] The script to execute on startup. eg. "score.py"
- Code
Id string - ARM resource ID of the code asset.
- Scoring
Script string - [Required] The script to execute on startup. eg. "score.py"
- Code
Id string - ARM resource ID of the code asset.
- scoring
Script String - [Required] The script to execute on startup. eg. "score.py"
- code
Id String - ARM resource ID of the code asset.
- scoring
Script string - [Required] The script to execute on startup. eg. "score.py"
- code
Id 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.
- scoring
Script String - [Required] The script to execute on startup. eg. "score.py"
- code
Id String - ARM resource ID of the code asset.
ContainerResourceRequirements, ContainerResourceRequirementsArgs
- Container
Resource Pulumi.Limits Azure Native. Machine Learning Services. Inputs. Container Resource Settings - Container resource limit info:
- Container
Resource Pulumi.Requests Azure Native. Machine Learning Services. Inputs. Container Resource Settings - Container resource request info:
- Container
Resource ContainerLimits Resource Settings - Container resource limit info:
- Container
Resource ContainerRequests Resource Settings - Container resource request info:
- container
Resource ContainerLimits Resource Settings - Container resource limit info:
- container
Resource ContainerRequests Resource Settings - Container resource request info:
- container
Resource ContainerLimits Resource Settings - Container resource limit info:
- container
Resource ContainerRequests Resource Settings - Container resource request info:
- container_
resource_ Containerlimits Resource Settings - Container resource limit info:
- container_
resource_ Containerrequests Resource Settings - Container resource request info:
- container
Resource Property MapLimits - Container resource limit info:
- container
Resource Property MapRequests - Container resource request info:
ContainerResourceRequirementsResponse, ContainerResourceRequirementsResponseArgs
- Container
Resource Pulumi.Limits Azure Native. Machine Learning Services. Inputs. Container Resource Settings Response - Container resource limit info:
- Container
Resource Pulumi.Requests Azure Native. Machine Learning Services. Inputs. Container Resource Settings Response - Container resource request info:
- Container
Resource ContainerLimits Resource Settings Response - Container resource limit info:
- Container
Resource ContainerRequests Resource Settings Response - Container resource request info:
- container
Resource ContainerLimits Resource Settings Response - Container resource limit info:
- container
Resource ContainerRequests Resource Settings Response - Container resource request info:
- container
Resource ContainerLimits Resource Settings Response - Container resource limit info:
- container
Resource ContainerRequests Resource Settings Response - Container resource request info:
- container_
resource_ Containerlimits Resource Settings Response - Container resource limit info:
- container_
resource_ Containerrequests Resource Settings Response - Container resource request info:
- container
Resource Property MapLimits - Container resource limit info:
- container
Resource Property MapRequests - 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/
DefaultScaleSettings, DefaultScaleSettingsArgs
DefaultScaleSettingsResponse, DefaultScaleSettingsResponseArgs
EgressPublicNetworkAccessType, EgressPublicNetworkAccessTypeArgs
- Enabled
- Enabled
- Disabled
- Disabled
- Egress
Public Network Access Type Enabled - Enabled
- Egress
Public Network Access Type Disabled - Disabled
- Enabled
- Enabled
- Disabled
- Disabled
- Enabled
- Enabled
- Disabled
- Disabled
- ENABLED
- Enabled
- DISABLED
- Disabled
- "Enabled"
- Enabled
- "Disabled"
- Disabled
KubernetesOnlineDeployment, KubernetesOnlineDeploymentArgs
- App
Insights boolEnabled - If true, enables Application Insights logging.
- Code
Configuration Pulumi.Azure Native. Machine Learning Services. Inputs. Code Configuration - Code configuration for the endpoint deployment.
- Container
Resource Pulumi.Requirements Azure Native. Machine Learning Services. Inputs. Container Resource Requirements - The resource requirements for the container (cpu and memory).
- Description string
- Description of the endpoint deployment.
- Egress
Public string | Pulumi.Network Access Azure Native. Machine Learning Services. Egress Public Network Access Type - If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
- Environment
Id string - ARM resource ID or AssetId of the environment specification for the endpoint deployment.
- Environment
Variables Dictionary<string, string> - Environment variables configuration for the deployment.
- Instance
Type string - Compute instance type.
- Liveness
Probe Pulumi.Azure Native. Machine Learning Services. Inputs. Probe Settings - Liveness probe monitors the health of the container regularly.
- Model string
- The URI path to the model.
- Model
Mount stringPath - The path to mount the model in custom container.
- Properties Dictionary<string, string>
- Property dictionary. Properties can be added, but not removed or altered.
- Readiness
Probe Pulumi.Azure Native. Machine Learning Services. Inputs. Probe Settings - Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
- Request
Settings Pulumi.Azure Native. Machine Learning Services. Inputs. Online Request Settings - Request settings for the deployment.
- Scale
Settings Pulumi.Azure | Pulumi.Native. Machine Learning Services. Inputs. Default Scale Settings Azure Native. Machine Learning Services. Inputs. Target Utilization Scale Settings - Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
- App
Insights boolEnabled - If true, enables Application Insights logging.
- Code
Configuration CodeConfiguration - Code configuration for the endpoint deployment.
- Container
Resource ContainerRequirements Resource Requirements - The resource requirements for the container (cpu and memory).
- Description string
- Description of the endpoint deployment.
- Egress
Public string | EgressNetwork Access Public Network Access Type - If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
- Environment
Id string - ARM resource ID or AssetId of the environment specification for the endpoint deployment.
- Environment
Variables map[string]string - Environment variables configuration for the deployment.
- Instance
Type string - Compute instance type.
- Liveness
Probe ProbeSettings - Liveness probe monitors the health of the container regularly.
- Model string
- The URI path to the model.
- Model
Mount stringPath - The path to mount the model in custom container.
- Properties map[string]string
- 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 OnlineRequest Settings - Request settings for the deployment.
- Scale
Settings DefaultScale | TargetSettings Utilization Scale Settings - Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
- app
Insights BooleanEnabled - If true, enables Application Insights logging.
- code
Configuration CodeConfiguration - Code configuration for the endpoint deployment.
- container
Resource ContainerRequirements Resource Requirements - The resource requirements for the container (cpu and memory).
- description String
- Description of the endpoint deployment.
- egress
Public String | EgressNetwork Access Public Network Access Type - If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
- environment
Id String - ARM resource ID or AssetId of the environment specification for the endpoint deployment.
- environment
Variables Map<String,String> - Environment variables configuration for the deployment.
- instance
Type String - Compute instance type.
- liveness
Probe ProbeSettings - Liveness probe monitors the health of the container regularly.
- model String
- The URI path to the model.
- model
Mount StringPath - The path to mount the model in custom container.
- properties Map<String,String>
- 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 OnlineRequest Settings - Request settings for the deployment.
- scale
Settings DefaultScale | TargetSettings Utilization Scale Settings - Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
- app
Insights booleanEnabled - If true, enables Application Insights logging.
- code
Configuration CodeConfiguration - Code configuration for the endpoint deployment.
- container
Resource ContainerRequirements Resource Requirements - The resource requirements for the container (cpu and memory).
- description string
- Description of the endpoint deployment.
- egress
Public string | EgressNetwork Access Public Network Access Type - If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
- environment
Id string - ARM resource ID or AssetId of the environment specification for the endpoint deployment.
- environment
Variables {[key: string]: string} - Environment variables configuration for the deployment.
- instance
Type string - Compute instance type.
- liveness
Probe ProbeSettings - Liveness probe monitors the health of the container regularly.
- model string
- The URI path to the model.
- model
Mount stringPath - The path to mount the model in custom container.
- properties {[key: string]: string}
- 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 OnlineRequest Settings - Request settings for the deployment.
- scale
Settings DefaultScale | TargetSettings Utilization Scale Settings - Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
- app_
insights_ boolenabled - If true, enables Application Insights logging.
- code_
configuration CodeConfiguration - Code configuration for the endpoint deployment.
- container_
resource_ Containerrequirements Resource Requirements - The resource requirements for the container (cpu and memory).
- description str
- Description of the endpoint deployment.
- egress_
public_ str | Egressnetwork_ access Public Network Access Type - 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.
- liveness_
probe ProbeSettings - Liveness probe monitors the health of the container regularly.
- model str
- The URI path to the model.
- model_
mount_ strpath - 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 OnlineRequest Settings - Request settings for the deployment.
- scale_
settings DefaultScale | TargetSettings Utilization Scale Settings - Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
- app
Insights BooleanEnabled - If true, enables Application Insights logging.
- code
Configuration Property Map - Code configuration for the endpoint deployment.
- container
Resource Property MapRequirements - The resource requirements for the container (cpu and memory).
- description String
- Description of the endpoint deployment.
- egress
Public String | "Enabled" | "Disabled"Network Access - If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
- environment
Id String - ARM resource ID or AssetId of the environment specification for the endpoint deployment.
- environment
Variables Map<String> - Environment variables configuration for the deployment.
- instance
Type String - Compute instance type.
- liveness
Probe Property Map - Liveness probe monitors the health of the container regularly.
- model String
- The URI path to the model.
- model
Mount StringPath - The path to mount the model in custom container.
- properties Map<String>
- Property dictionary. Properties can be added, but not removed or altered.
- readiness
Probe Property Map - Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
- request
Settings Property Map - Request settings for the deployment.
- scale
Settings 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.
KubernetesOnlineDeploymentResponse, KubernetesOnlineDeploymentResponseArgs
- Provisioning
State string - Provisioning state for the endpoint deployment.
- App
Insights boolEnabled - If true, enables Application Insights logging.
- Code
Configuration Pulumi.Azure Native. Machine Learning Services. Inputs. Code Configuration Response - Code configuration for the endpoint deployment.
- Container
Resource Pulumi.Requirements Azure Native. Machine Learning Services. Inputs. Container Resource Requirements Response - The resource requirements for the container (cpu and memory).
- Description string
- Description of the endpoint deployment.
- Egress
Public stringNetwork Access - If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
- Environment
Id string - ARM resource ID or AssetId of the environment specification for the endpoint deployment.
- Environment
Variables Dictionary<string, string> - Environment variables configuration for the deployment.
- Instance
Type string - Compute instance type.
- Liveness
Probe Pulumi.Azure Native. Machine Learning Services. Inputs. Probe Settings Response - Liveness probe monitors the health of the container regularly.
- Model string
- The URI path to the model.
- Model
Mount stringPath - The path to mount the model in custom container.
- Properties Dictionary<string, string>
- Property dictionary. Properties can be added, but not removed or altered.
- Readiness
Probe Pulumi.Azure Native. Machine Learning Services. Inputs. Probe Settings Response - Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
- Request
Settings Pulumi.Azure Native. Machine Learning Services. Inputs. Online Request Settings Response - Request settings for the deployment.
- Scale
Settings Pulumi.Azure | Pulumi.Native. Machine Learning Services. Inputs. Default Scale Settings Response Azure Native. Machine Learning Services. Inputs. Target Utilization Scale Settings Response - Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
- Provisioning
State string - Provisioning state for the endpoint deployment.
- App
Insights boolEnabled - If true, enables Application Insights logging.
- Code
Configuration CodeConfiguration Response - Code configuration for the endpoint deployment.
- Container
Resource ContainerRequirements Resource Requirements Response - The resource requirements for the container (cpu and memory).
- Description string
- Description of the endpoint deployment.
- Egress
Public stringNetwork Access - If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
- Environment
Id string - ARM resource ID or AssetId of the environment specification for the endpoint deployment.
- Environment
Variables map[string]string - Environment variables configuration for the deployment.
- Instance
Type string - Compute instance type.
- Liveness
Probe ProbeSettings Response - Liveness probe monitors the health of the container regularly.
- Model string
- The URI path to the model.
- Model
Mount stringPath - The path to mount the model in custom container.
- Properties map[string]string
- Property dictionary. Properties can be added, but not removed or altered.
- Readiness
Probe ProbeSettings Response - Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
- Request
Settings OnlineRequest Settings Response - Request settings for the deployment.
- Scale
Settings DefaultScale | TargetSettings Response Utilization Scale Settings Response - Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
- provisioning
State String - Provisioning state for the endpoint deployment.
- app
Insights BooleanEnabled - If true, enables Application Insights logging.
- code
Configuration CodeConfiguration Response - Code configuration for the endpoint deployment.
- container
Resource ContainerRequirements Resource Requirements Response - The resource requirements for the container (cpu and memory).
- description String
- Description of the endpoint deployment.
- egress
Public StringNetwork Access - If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
- environment
Id String - ARM resource ID or AssetId of the environment specification for the endpoint deployment.
- environment
Variables Map<String,String> - Environment variables configuration for the deployment.
- instance
Type String - Compute instance type.
- liveness
Probe ProbeSettings Response - Liveness probe monitors the health of the container regularly.
- model String
- The URI path to the model.
- model
Mount StringPath - The path to mount the model in custom container.
- properties Map<String,String>
- Property dictionary. Properties can be added, but not removed or altered.
- readiness
Probe ProbeSettings Response - Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
- request
Settings OnlineRequest Settings Response - Request settings for the deployment.
- scale
Settings DefaultScale | TargetSettings Response Utilization Scale Settings Response - Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
- provisioning
State string - Provisioning state for the endpoint deployment.
- app
Insights booleanEnabled - If true, enables Application Insights logging.
- code
Configuration CodeConfiguration Response - Code configuration for the endpoint deployment.
- container
Resource ContainerRequirements Resource Requirements Response - The resource requirements for the container (cpu and memory).
- description string
- Description of the endpoint deployment.
- egress
Public stringNetwork Access - If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
- environment
Id string - ARM resource ID or AssetId of the environment specification for the endpoint deployment.
- environment
Variables {[key: string]: string} - Environment variables configuration for the deployment.
- instance
Type string - Compute instance type.
- liveness
Probe ProbeSettings Response - Liveness probe monitors the health of the container regularly.
- model string
- The URI path to the model.
- model
Mount stringPath - The path to mount the model in custom container.
- properties {[key: string]: string}
- Property dictionary. Properties can be added, but not removed or altered.
- readiness
Probe ProbeSettings Response - Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
- request
Settings OnlineRequest Settings Response - Request settings for the deployment.
- scale
Settings DefaultScale | TargetSettings Response Utilization Scale Settings Response - Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
- provisioning_
state str - Provisioning state for the endpoint deployment.
- app_
insights_ boolenabled - If true, enables Application Insights logging.
- code_
configuration CodeConfiguration Response - Code configuration for the endpoint deployment.
- container_
resource_ Containerrequirements Resource Requirements Response - The resource requirements for the container (cpu and memory).
- description str
- Description of the endpoint deployment.
- egress_
public_ strnetwork_ access - 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.
- liveness_
probe ProbeSettings Response - Liveness probe monitors the health of the container regularly.
- model str
- The URI path to the model.
- model_
mount_ strpath - 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 Response - Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
- request_
settings OnlineRequest Settings Response - Request settings for the deployment.
- scale_
settings DefaultScale | TargetSettings Response Utilization Scale Settings Response - Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
- provisioning
State String - Provisioning state for the endpoint deployment.
- app
Insights BooleanEnabled - If true, enables Application Insights logging.
- code
Configuration Property Map - Code configuration for the endpoint deployment.
- container
Resource Property MapRequirements - The resource requirements for the container (cpu and memory).
- description String
- Description of the endpoint deployment.
- egress
Public StringNetwork Access - If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
- environment
Id String - ARM resource ID or AssetId of the environment specification for the endpoint deployment.
- environment
Variables Map<String> - Environment variables configuration for the deployment.
- instance
Type String - Compute instance type.
- liveness
Probe Property Map - Liveness probe monitors the health of the container regularly.
- model String
- The URI path to the model.
- model
Mount StringPath - The path to mount the model in custom container.
- properties Map<String>
- Property dictionary. Properties can be added, but not removed or altered.
- readiness
Probe Property Map - Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
- request
Settings Property Map - Request settings for the deployment.
- scale
Settings 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.
ManagedOnlineDeployment, ManagedOnlineDeploymentArgs
- App
Insights boolEnabled - If true, enables Application Insights logging.
- Code
Configuration Pulumi.Azure Native. Machine Learning Services. Inputs. Code Configuration - Code configuration for the endpoint deployment.
- Description string
- Description of the endpoint deployment.
- Egress
Public string | Pulumi.Network Access Azure Native. Machine Learning Services. Egress Public Network Access Type - If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
- Environment
Id string - ARM resource ID or AssetId of the environment specification for the endpoint deployment.
- Environment
Variables Dictionary<string, string> - Environment variables configuration for the deployment.
- Instance
Type string - Compute instance type.
- Liveness
Probe Pulumi.Azure Native. Machine Learning Services. Inputs. Probe Settings - Liveness probe monitors the health of the container regularly.
- Model string
- The URI path to the model.
- Model
Mount stringPath - The path to mount the model in custom container.
- Properties Dictionary<string, string>
- Property dictionary. Properties can be added, but not removed or altered.
- Readiness
Probe Pulumi.Azure Native. Machine Learning Services. Inputs. Probe Settings - Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
- Request
Settings Pulumi.Azure Native. Machine Learning Services. Inputs. Online Request Settings - Request settings for the deployment.
- Scale
Settings Pulumi.Azure | Pulumi.Native. Machine Learning Services. Inputs. Default Scale Settings Azure Native. Machine Learning Services. Inputs. Target Utilization Scale Settings - Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
- App
Insights boolEnabled - If true, enables Application Insights logging.
- Code
Configuration CodeConfiguration - Code configuration for the endpoint deployment.
- Description string
- Description of the endpoint deployment.
- Egress
Public string | EgressNetwork Access Public Network Access Type - If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
- Environment
Id string - ARM resource ID or AssetId of the environment specification for the endpoint deployment.
- Environment
Variables map[string]string - Environment variables configuration for the deployment.
- Instance
Type string - Compute instance type.
- Liveness
Probe ProbeSettings - Liveness probe monitors the health of the container regularly.
- Model string
- The URI path to the model.
- Model
Mount stringPath - The path to mount the model in custom container.
- Properties map[string]string
- 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 OnlineRequest Settings - Request settings for the deployment.
- Scale
Settings DefaultScale | TargetSettings Utilization Scale Settings - Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
- app
Insights BooleanEnabled - If true, enables Application Insights logging.
- code
Configuration CodeConfiguration - Code configuration for the endpoint deployment.
- description String
- Description of the endpoint deployment.
- egress
Public String | EgressNetwork Access Public Network Access Type - If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
- environment
Id String - ARM resource ID or AssetId of the environment specification for the endpoint deployment.
- environment
Variables Map<String,String> - Environment variables configuration for the deployment.
- instance
Type String - Compute instance type.
- liveness
Probe ProbeSettings - Liveness probe monitors the health of the container regularly.
- model String
- The URI path to the model.
- model
Mount StringPath - The path to mount the model in custom container.
- properties Map<String,String>
- 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 OnlineRequest Settings - Request settings for the deployment.
- scale
Settings DefaultScale | TargetSettings Utilization Scale Settings - Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
- app
Insights booleanEnabled - If true, enables Application Insights logging.
- code
Configuration CodeConfiguration - Code configuration for the endpoint deployment.
- description string
- Description of the endpoint deployment.
- egress
Public string | EgressNetwork Access Public Network Access Type - If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
- environment
Id string - ARM resource ID or AssetId of the environment specification for the endpoint deployment.
- environment
Variables {[key: string]: string} - Environment variables configuration for the deployment.
- instance
Type string - Compute instance type.
- liveness
Probe ProbeSettings - Liveness probe monitors the health of the container regularly.
- model string
- The URI path to the model.
- model
Mount stringPath - The path to mount the model in custom container.
- properties {[key: string]: string}
- 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 OnlineRequest Settings - Request settings for the deployment.
- scale
Settings DefaultScale | TargetSettings Utilization Scale Settings - Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
- app_
insights_ boolenabled - If true, enables Application Insights logging.
- code_
configuration CodeConfiguration - Code configuration for the endpoint deployment.
- description str
- Description of the endpoint deployment.
- egress_
public_ str | Egressnetwork_ access Public Network Access Type - 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.
- liveness_
probe ProbeSettings - Liveness probe monitors the health of the container regularly.
- model str
- The URI path to the model.
- model_
mount_ strpath - 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 OnlineRequest Settings - Request settings for the deployment.
- scale_
settings DefaultScale | TargetSettings Utilization Scale Settings - Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
- app
Insights BooleanEnabled - If true, enables Application Insights logging.
- code
Configuration Property Map - Code configuration for the endpoint deployment.
- description String
- Description of the endpoint deployment.
- egress
Public String | "Enabled" | "Disabled"Network Access - If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
- environment
Id String - ARM resource ID or AssetId of the environment specification for the endpoint deployment.
- environment
Variables Map<String> - Environment variables configuration for the deployment.
- instance
Type String - Compute instance type.
- liveness
Probe Property Map - Liveness probe monitors the health of the container regularly.
- model String
- The URI path to the model.
- model
Mount StringPath - The path to mount the model in custom container.
- properties Map<String>
- Property dictionary. Properties can be added, but not removed or altered.
- readiness
Probe Property Map - Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
- request
Settings Property Map - Request settings for the deployment.
- scale
Settings 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.
ManagedOnlineDeploymentResponse, ManagedOnlineDeploymentResponseArgs
- Provisioning
State string - Provisioning state for the endpoint deployment.
- App
Insights boolEnabled - If true, enables Application Insights logging.
- Code
Configuration Pulumi.Azure Native. Machine Learning Services. Inputs. Code Configuration Response - Code configuration for the endpoint deployment.
- Description string
- Description of the endpoint deployment.
- Egress
Public stringNetwork Access - If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
- Environment
Id string - ARM resource ID or AssetId of the environment specification for the endpoint deployment.
- Environment
Variables Dictionary<string, string> - Environment variables configuration for the deployment.
- Instance
Type string - Compute instance type.
- Liveness
Probe Pulumi.Azure Native. Machine Learning Services. Inputs. Probe Settings Response - Liveness probe monitors the health of the container regularly.
- Model string
- The URI path to the model.
- Model
Mount stringPath - The path to mount the model in custom container.
- Properties Dictionary<string, string>
- Property dictionary. Properties can be added, but not removed or altered.
- Readiness
Probe Pulumi.Azure Native. Machine Learning Services. Inputs. Probe Settings Response - Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
- Request
Settings Pulumi.Azure Native. Machine Learning Services. Inputs. Online Request Settings Response - Request settings for the deployment.
- Scale
Settings Pulumi.Azure | Pulumi.Native. Machine Learning Services. Inputs. Default Scale Settings Response Azure Native. Machine Learning Services. Inputs. Target Utilization Scale Settings Response - Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
- Provisioning
State string - Provisioning state for the endpoint deployment.
- App
Insights boolEnabled - If true, enables Application Insights logging.
- Code
Configuration CodeConfiguration Response - Code configuration for the endpoint deployment.
- Description string
- Description of the endpoint deployment.
- Egress
Public stringNetwork Access - If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
- Environment
Id string - ARM resource ID or AssetId of the environment specification for the endpoint deployment.
- Environment
Variables map[string]string - Environment variables configuration for the deployment.
- Instance
Type string - Compute instance type.
- Liveness
Probe ProbeSettings Response - Liveness probe monitors the health of the container regularly.
- Model string
- The URI path to the model.
- Model
Mount stringPath - The path to mount the model in custom container.
- Properties map[string]string
- Property dictionary. Properties can be added, but not removed or altered.
- Readiness
Probe ProbeSettings Response - Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
- Request
Settings OnlineRequest Settings Response - Request settings for the deployment.
- Scale
Settings DefaultScale | TargetSettings Response Utilization Scale Settings Response - Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
- provisioning
State String - Provisioning state for the endpoint deployment.
- app
Insights BooleanEnabled - If true, enables Application Insights logging.
- code
Configuration CodeConfiguration Response - Code configuration for the endpoint deployment.
- description String
- Description of the endpoint deployment.
- egress
Public StringNetwork Access - If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
- environment
Id String - ARM resource ID or AssetId of the environment specification for the endpoint deployment.
- environment
Variables Map<String,String> - Environment variables configuration for the deployment.
- instance
Type String - Compute instance type.
- liveness
Probe ProbeSettings Response - Liveness probe monitors the health of the container regularly.
- model String
- The URI path to the model.
- model
Mount StringPath - The path to mount the model in custom container.
- properties Map<String,String>
- Property dictionary. Properties can be added, but not removed or altered.
- readiness
Probe ProbeSettings Response - Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
- request
Settings OnlineRequest Settings Response - Request settings for the deployment.
- scale
Settings DefaultScale | TargetSettings Response Utilization Scale Settings Response - Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
- provisioning
State string - Provisioning state for the endpoint deployment.
- app
Insights booleanEnabled - If true, enables Application Insights logging.
- code
Configuration CodeConfiguration Response - Code configuration for the endpoint deployment.
- description string
- Description of the endpoint deployment.
- egress
Public stringNetwork Access - If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
- environment
Id string - ARM resource ID or AssetId of the environment specification for the endpoint deployment.
- environment
Variables {[key: string]: string} - Environment variables configuration for the deployment.
- instance
Type string - Compute instance type.
- liveness
Probe ProbeSettings Response - Liveness probe monitors the health of the container regularly.
- model string
- The URI path to the model.
- model
Mount stringPath - The path to mount the model in custom container.
- properties {[key: string]: string}
- Property dictionary. Properties can be added, but not removed or altered.
- readiness
Probe ProbeSettings Response - Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
- request
Settings OnlineRequest Settings Response - Request settings for the deployment.
- scale
Settings DefaultScale | TargetSettings Response Utilization Scale Settings Response - Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
- provisioning_
state str - Provisioning state for the endpoint deployment.
- app_
insights_ boolenabled - If true, enables Application Insights logging.
- code_
configuration CodeConfiguration Response - Code configuration for the endpoint deployment.
- description str
- Description of the endpoint deployment.
- egress_
public_ strnetwork_ access - 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.
- liveness_
probe ProbeSettings Response - Liveness probe monitors the health of the container regularly.
- model str
- The URI path to the model.
- model_
mount_ strpath - 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 Response - Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
- request_
settings OnlineRequest Settings Response - Request settings for the deployment.
- scale_
settings DefaultScale | TargetSettings Response Utilization Scale Settings Response - Scale settings for the deployment. If it is null or not provided, it defaults to TargetUtilizationScaleSettings for KubernetesOnlineDeployment and to DefaultScaleSettings for ManagedOnlineDeployment.
- provisioning
State String - Provisioning state for the endpoint deployment.
- app
Insights BooleanEnabled - If true, enables Application Insights logging.
- code
Configuration Property Map - Code configuration for the endpoint deployment.
- description String
- Description of the endpoint deployment.
- egress
Public StringNetwork Access - If Enabled, allow egress public network access. If Disabled, this will create secure egress. Default: Enabled.
- environment
Id String - ARM resource ID or AssetId of the environment specification for the endpoint deployment.
- environment
Variables Map<String> - Environment variables configuration for the deployment.
- instance
Type String - Compute instance type.
- liveness
Probe Property Map - Liveness probe monitors the health of the container regularly.
- model String
- The URI path to the model.
- model
Mount StringPath - The path to mount the model in custom container.
- properties Map<String>
- Property dictionary. Properties can be added, but not removed or altered.
- readiness
Probe Property Map - Readiness probe validates if the container is ready to serve traffic. The properties and defaults are the same as liveness probe.
- request
Settings Property Map - Request settings for the deployment.
- scale
Settings 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.
ManagedServiceIdentity, ManagedServiceIdentityArgs
- Type
string | Pulumi.
Azure Native. Machine Learning Services. Managed Service Identity Type - Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
- User
Assigned List<string>Identities - 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 | Managed
Service Identity Type - Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
- User
Assigned []stringIdentities - 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 | Managed
Service Identity Type - Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
- user
Assigned List<String>Identities - 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 | Managed
Service Identity Type - Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
- user
Assigned string[]Identities - 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 | Managed
Service Identity Type - Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
- user_
assigned_ Sequence[str]identities - 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" | "System
Assigned" | "User Assigned" | "System Assigned,User Assigned" - Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
- user
Assigned List<String>Identities - 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
- Principal
Id string - The service principal ID of the system assigned identity. This property will only be provided for a system assigned identity.
- Tenant
Id 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).
- User
Assigned Dictionary<string, Pulumi.Identities Azure Native. Machine Learning Services. Inputs. User Assigned Identity Response> - 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 string - The service principal ID of the system assigned identity. This property will only be provided for a system assigned identity.
- Tenant
Id 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).
- User
Assigned map[string]UserIdentities Assigned Identity Response - 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 String - The service principal ID of the system assigned identity. This property will only be provided for a system assigned identity.
- tenant
Id 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).
- user
Assigned Map<String,UserIdentities Assigned Identity Response> - 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 string - The service principal ID of the system assigned identity. This property will only be provided for a system assigned identity.
- tenant
Id 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).
- user
Assigned {[key: string]: UserIdentities Assigned Identity Response} - 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_ Mapping[str, Useridentities Assigned Identity Response] - 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 String - The service principal ID of the system assigned identity. This property will only be provided for a system assigned identity.
- tenant
Id 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).
- user
Assigned Map<Property Map>Identities - 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
- System
Assigned - SystemAssigned
- User
Assigned - UserAssigned
- System
Assigned_User Assigned - SystemAssigned,UserAssigned
- Managed
Service Identity Type None - None
- Managed
Service Identity Type System Assigned - SystemAssigned
- Managed
Service Identity Type User Assigned - UserAssigned
- Managed
Service Identity Type_System Assigned_User Assigned - SystemAssigned,UserAssigned
- None
- None
- System
Assigned - SystemAssigned
- User
Assigned - UserAssigned
- System
Assigned_User Assigned - SystemAssigned,UserAssigned
- None
- None
- System
Assigned - SystemAssigned
- User
Assigned - UserAssigned
- System
Assigned_User Assigned - SystemAssigned,UserAssigned
- NONE
- None
- SYSTEM_ASSIGNED
- SystemAssigned
- USER_ASSIGNED
- UserAssigned
- SYSTEM_ASSIGNED_USER_ASSIGNED
- SystemAssigned,UserAssigned
- "None"
- None
- "System
Assigned" - SystemAssigned
- "User
Assigned" - UserAssigned
- "System
Assigned,User Assigned" - SystemAssigned,UserAssigned
OnlineRequestSettings, OnlineRequestSettingsArgs
- Max
Concurrent intRequests Per Instance - The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.
- Max
Queue stringWait - The maximum amount of time a request will stay in the queue in ISO 8601 format. Defaults to 500ms.
- Request
Timeout string - The scoring timeout in ISO 8601 format. Defaults to 5000ms.
- Max
Concurrent intRequests Per Instance - The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.
- Max
Queue stringWait - The maximum amount of time a request will stay in the queue in ISO 8601 format. Defaults to 500ms.
- Request
Timeout string - The scoring timeout in ISO 8601 format. Defaults to 5000ms.
- max
Concurrent IntegerRequests Per Instance - The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.
- max
Queue StringWait - The maximum amount of time a request will stay in the queue in ISO 8601 format. Defaults to 500ms.
- request
Timeout String - The scoring timeout in ISO 8601 format. Defaults to 5000ms.
- max
Concurrent numberRequests Per Instance - The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.
- max
Queue stringWait - The maximum amount of time a request will stay in the queue in ISO 8601 format. Defaults to 500ms.
- request
Timeout string - The scoring timeout in ISO 8601 format. Defaults to 5000ms.
- max_
concurrent_ intrequests_ per_ instance - The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.
- max_
queue_ strwait - The maximum amount of time a request will stay in the queue in ISO 8601 format. Defaults to 500ms.
- request_
timeout str - The scoring timeout in ISO 8601 format. Defaults to 5000ms.
- max
Concurrent NumberRequests Per Instance - The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.
- max
Queue StringWait - The maximum amount of time a request will stay in the queue in ISO 8601 format. Defaults to 500ms.
- request
Timeout String - The scoring timeout in ISO 8601 format. Defaults to 5000ms.
OnlineRequestSettingsResponse, OnlineRequestSettingsResponseArgs
- Max
Concurrent intRequests Per Instance - The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.
- Max
Queue stringWait - The maximum amount of time a request will stay in the queue in ISO 8601 format. Defaults to 500ms.
- Request
Timeout string - The scoring timeout in ISO 8601 format. Defaults to 5000ms.
- Max
Concurrent intRequests Per Instance - The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.
- Max
Queue stringWait - The maximum amount of time a request will stay in the queue in ISO 8601 format. Defaults to 500ms.
- Request
Timeout string - The scoring timeout in ISO 8601 format. Defaults to 5000ms.
- max
Concurrent IntegerRequests Per Instance - The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.
- max
Queue StringWait - The maximum amount of time a request will stay in the queue in ISO 8601 format. Defaults to 500ms.
- request
Timeout String - The scoring timeout in ISO 8601 format. Defaults to 5000ms.
- max
Concurrent numberRequests Per Instance - The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.
- max
Queue stringWait - The maximum amount of time a request will stay in the queue in ISO 8601 format. Defaults to 500ms.
- request
Timeout string - The scoring timeout in ISO 8601 format. Defaults to 5000ms.
- max_
concurrent_ intrequests_ per_ instance - The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.
- max_
queue_ strwait - The maximum amount of time a request will stay in the queue in ISO 8601 format. Defaults to 500ms.
- request_
timeout str - The scoring timeout in ISO 8601 format. Defaults to 5000ms.
- max
Concurrent NumberRequests Per Instance - The number of maximum concurrent requests per node allowed per deployment. Defaults to 1.
- max
Queue StringWait - The maximum amount of time a request will stay in the queue in ISO 8601 format. Defaults to 500ms.
- request
Timeout String - The scoring timeout in ISO 8601 format. Defaults to 5000ms.
ProbeSettings, ProbeSettingsArgs
- Failure
Threshold int - The number of failures to allow before returning an unhealthy status.
- Initial
Delay string - The delay before the first probe in ISO 8601 format.
- Period string
- The length of time between probes in ISO 8601 format.
- Success
Threshold int - 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 string - The delay before the first probe in ISO 8601 format.
- Period string
- The length of time between probes in ISO 8601 format.
- Success
Threshold int - The number of successful probes before returning a healthy status.
- Timeout string
- The probe timeout in ISO 8601 format.
- failure
Threshold Integer - The number of failures to allow before returning an unhealthy status.
- initial
Delay String - The delay before the first probe in ISO 8601 format.
- period String
- The length of time between probes in ISO 8601 format.
- success
Threshold Integer - The number of successful probes before returning a healthy status.
- timeout String
- The probe timeout in ISO 8601 format.
- failure
Threshold number - The number of failures to allow before returning an unhealthy status.
- initial
Delay string - The delay before the first probe in ISO 8601 format.
- period string
- The length of time between probes in ISO 8601 format.
- success
Threshold 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.
- failure
Threshold Number - The number of failures to allow before returning an unhealthy status.
- initial
Delay String - The delay before the first probe in ISO 8601 format.
- period String
- The length of time between probes in ISO 8601 format.
- success
Threshold Number - The number of successful probes before returning a healthy status.
- timeout String
- The probe timeout in ISO 8601 format.
ProbeSettingsResponse, ProbeSettingsResponseArgs
- Failure
Threshold int - The number of failures to allow before returning an unhealthy status.
- Initial
Delay string - The delay before the first probe in ISO 8601 format.
- Period string
- The length of time between probes in ISO 8601 format.
- Success
Threshold int - 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 string - The delay before the first probe in ISO 8601 format.
- Period string
- The length of time between probes in ISO 8601 format.
- Success
Threshold int - The number of successful probes before returning a healthy status.
- Timeout string
- The probe timeout in ISO 8601 format.
- failure
Threshold Integer - The number of failures to allow before returning an unhealthy status.
- initial
Delay String - The delay before the first probe in ISO 8601 format.
- period String
- The length of time between probes in ISO 8601 format.
- success
Threshold Integer - The number of successful probes before returning a healthy status.
- timeout String
- The probe timeout in ISO 8601 format.
- failure
Threshold number - The number of failures to allow before returning an unhealthy status.
- initial
Delay string - The delay before the first probe in ISO 8601 format.
- period string
- The length of time between probes in ISO 8601 format.
- success
Threshold 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.
- failure
Threshold Number - The number of failures to allow before returning an unhealthy status.
- initial
Delay String - The delay before the first probe in ISO 8601 format.
- period String
- The length of time between probes in ISO 8601 format.
- success
Threshold 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.
Azure Native. Machine Learning Services. Sku Tier - 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
Sku
Tier - 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
Sku
Tier - 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
Sku
Tier - 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
Sku
Tier - 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
- Sku
Tier Free - Free
- Sku
Tier Basic - Basic
- Sku
Tier Standard - Standard
- Sku
Tier 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
- "Free"
- Free
- "Basic"
- Basic
- "Standard"
- Standard
- "Premium"
- Premium
SystemDataResponse, SystemDataResponseArgs
- Created
At string - The timestamp of resource creation (UTC).
- Created
By string - The identity that created the resource.
- Created
By stringType - The type of identity that created the resource.
- Last
Modified stringAt - The timestamp of resource last modification (UTC)
- Last
Modified stringBy - The identity that last modified the resource.
- Last
Modified stringBy Type - The type of identity that last modified the resource.
- Created
At string - The timestamp of resource creation (UTC).
- Created
By string - The identity that created the resource.
- Created
By stringType - The type of identity that created the resource.
- Last
Modified stringAt - The timestamp of resource last modification (UTC)
- Last
Modified stringBy - The identity that last modified the resource.
- Last
Modified stringBy Type - The type of identity that last modified the resource.
- created
At String - The timestamp of resource creation (UTC).
- created
By String - The identity that created the resource.
- created
By StringType - The type of identity that created the resource.
- last
Modified StringAt - The timestamp of resource last modification (UTC)
- last
Modified StringBy - The identity that last modified the resource.
- last
Modified StringBy Type - The type of identity that last modified the resource.
- created
At string - The timestamp of resource creation (UTC).
- created
By string - The identity that created the resource.
- created
By stringType - The type of identity that created the resource.
- last
Modified stringAt - The timestamp of resource last modification (UTC)
- last
Modified stringBy - The identity that last modified the resource.
- last
Modified stringBy Type - 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_ strtype - The type of identity that created the resource.
- last_
modified_ strat - The timestamp of resource last modification (UTC)
- last_
modified_ strby - The identity that last modified the resource.
- last_
modified_ strby_ type - The type of identity that last modified the resource.
- created
At String - The timestamp of resource creation (UTC).
- created
By String - The identity that created the resource.
- created
By StringType - The type of identity that created the resource.
- last
Modified StringAt - The timestamp of resource last modification (UTC)
- last
Modified StringBy - The identity that last modified the resource.
- last
Modified StringBy Type - The type of identity that last modified the resource.
TargetUtilizationScaleSettings, TargetUtilizationScaleSettingsArgs
- 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 string - The polling interval in ISO 8691 format. Only supports duration with precision as low as Seconds.
- Target
Utilization intPercentage - 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 string - The polling interval in ISO 8691 format. Only supports duration with precision as low as Seconds.
- Target
Utilization intPercentage - Target CPU usage for the autoscaler.
- max
Instances Integer - The maximum number of instances that the deployment can scale to. The quota will be reserved for max_instances.
- min
Instances Integer - The minimum number of instances to always be present.
- polling
Interval String - The polling interval in ISO 8691 format. Only supports duration with precision as low as Seconds.
- target
Utilization IntegerPercentage - Target CPU usage for the autoscaler.
- max
Instances number - The maximum number of instances that the deployment can scale to. The quota will be reserved for max_instances.
- min
Instances number - The minimum number of instances to always be present.
- polling
Interval string - The polling interval in ISO 8691 format. Only supports duration with precision as low as Seconds.
- target
Utilization numberPercentage - 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_ intpercentage - Target CPU usage for the autoscaler.
- max
Instances Number - The maximum number of instances that the deployment can scale to. The quota will be reserved for max_instances.
- min
Instances Number - The minimum number of instances to always be present.
- polling
Interval String - The polling interval in ISO 8691 format. Only supports duration with precision as low as Seconds.
- target
Utilization NumberPercentage - Target CPU usage for the autoscaler.
TargetUtilizationScaleSettingsResponse, TargetUtilizationScaleSettingsResponseArgs
- 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 string - The polling interval in ISO 8691 format. Only supports duration with precision as low as Seconds.
- Target
Utilization intPercentage - 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 string - The polling interval in ISO 8691 format. Only supports duration with precision as low as Seconds.
- Target
Utilization intPercentage - Target CPU usage for the autoscaler.
- max
Instances Integer - The maximum number of instances that the deployment can scale to. The quota will be reserved for max_instances.
- min
Instances Integer - The minimum number of instances to always be present.
- polling
Interval String - The polling interval in ISO 8691 format. Only supports duration with precision as low as Seconds.
- target
Utilization IntegerPercentage - Target CPU usage for the autoscaler.
- max
Instances number - The maximum number of instances that the deployment can scale to. The quota will be reserved for max_instances.
- min
Instances number - The minimum number of instances to always be present.
- polling
Interval string - The polling interval in ISO 8691 format. Only supports duration with precision as low as Seconds.
- target
Utilization numberPercentage - 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_ intpercentage - Target CPU usage for the autoscaler.
- max
Instances Number - The maximum number of instances that the deployment can scale to. The quota will be reserved for max_instances.
- min
Instances Number - The minimum number of instances to always be present.
- polling
Interval String - The polling interval in ISO 8691 format. Only supports duration with precision as low as Seconds.
- target
Utilization NumberPercentage - Target CPU usage for the autoscaler.
UserAssignedIdentityResponse, UserAssignedIdentityResponseArgs
- Client
Id string - The client ID of the assigned identity.
- Principal
Id string - The principal ID of the assigned identity.
- Tenant
Id string - The tenant ID of the user assigned identity.
- Client
Id string - The client ID of the assigned identity.
- Principal
Id string - The principal ID of the assigned identity.
- Tenant
Id string - The tenant ID of the user assigned identity.
- client
Id String - The client ID of the assigned identity.
- principal
Id String - The principal ID of the assigned identity.
- tenant
Id String - The tenant ID of the user assigned identity.
- client
Id string - The client ID of the assigned identity.
- principal
Id string - The principal ID of the assigned identity.
- tenant
Id 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.
- client
Id String - The client ID of the assigned identity.
- principal
Id String - The principal ID of the assigned identity.
- tenant
Id String - The tenant ID of the user assigned identity.
Package Details
- Repository
- Azure Native pulumi/pulumi-azure-native
- License
- Apache-2.0