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Azure Native

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Package maintained by Pulumi

v1.67.0 published on Tuesday, Jul 12, 2022 by Pulumi

Source code

getOnlineDeployment

API Version: 2021-03-01-preview.

Using getOnlineDeployment

Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.

function getOnlineDeployment(args: GetOnlineDeploymentArgs, opts?: InvokeOptions): Promise<GetOnlineDeploymentResult>
function getOnlineDeploymentOutput(args: GetOnlineDeploymentOutputArgs, opts?: InvokeOptions): Output<GetOnlineDeploymentResult>

def get_online_deployment(deployment_name: Optional[str] = None,
                          endpoint_name: Optional[str] = None,
                          resource_group_name: Optional[str] = None,
                          workspace_name: Optional[str] = None,
                          opts: Optional[InvokeOptions] = None) -> GetOnlineDeploymentResult
def get_online_deployment_output(deployment_name: Optional[pulumi.Input[str]] = None,
                          endpoint_name: Optional[pulumi.Input[str]] = None,
                          resource_group_name: Optional[pulumi.Input[str]] = None,
                          workspace_name: Optional[pulumi.Input[str]] = None,
                          opts: Optional[InvokeOptions] = None) -> Output[GetOnlineDeploymentResult]

func LookupOnlineDeployment(ctx *Context, args *LookupOnlineDeploymentArgs, opts ...InvokeOption) (*LookupOnlineDeploymentResult, error)
func LookupOnlineDeploymentOutput(ctx *Context, args *LookupOnlineDeploymentOutputArgs, opts ...InvokeOption) LookupOnlineDeploymentResultOutput

> Note: This function is named LookupOnlineDeployment in the Go SDK.

public static class GetOnlineDeployment 
{
    public static Task<GetOnlineDeploymentResult> InvokeAsync(GetOnlineDeploymentArgs args, InvokeOptions? opts = null)
    public static Output<GetOnlineDeploymentResult> Invoke(GetOnlineDeploymentInvokeArgs args, InvokeOptions? opts = null)
}

public static CompletableFuture<GetOnlineDeploymentResult> getOnlineDeployment(GetOnlineDeploymentArgs args, InvokeOptions options)
// Output-based functions aren't available in Java yet

Fn::Invoke:
  Function: azure-native:machinelearningservices:getOnlineDeployment
  Arguments:
    # Arguments dictionary

The following arguments are supported:

DeploymentName string: Inference Endpoint Deployment name.
EndpointName string: Inference endpoint name.
ResourceGroupName string: The name of the resource group. The name is case insensitive.
WorkspaceName string: Name of Azure Machine Learning workspace.

DeploymentName string: Inference Endpoint Deployment name.
EndpointName string: Inference endpoint name.
ResourceGroupName string: The name of the resource group. The name is case insensitive.
WorkspaceName string: Name of Azure Machine Learning workspace.

deploymentName String: Inference Endpoint Deployment name.
endpointName String: Inference endpoint name.
resourceGroupName String: The name of the resource group. The name is case insensitive.
workspaceName String: Name of Azure Machine Learning workspace.

deploymentName string: Inference Endpoint Deployment name.
endpointName string: Inference endpoint name.
resourceGroupName string: The name of the resource group. The name is case insensitive.
workspaceName string: Name of Azure Machine Learning workspace.

deployment_name str: Inference Endpoint Deployment name.
endpoint_name str: Inference endpoint name.
resource_group_name str: The name of the resource group. The name is case insensitive.
workspace_name str: Name of Azure Machine Learning workspace.

deploymentName String: Inference Endpoint Deployment name.
endpointName String: Inference endpoint name.
resourceGroupName String: The name of the resource group. The name is case insensitive.
workspaceName String: Name of Azure Machine Learning workspace.

getOnlineDeployment Result

The following output properties are available:

Id string: Fully qualified resource ID for the resource. Ex - /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}
Location string: The geo-location where the resource lives
Name string: The name of the resource
Properties Pulumi.AzureNative.MachineLearningServices.Outputs.K8sOnlineDeploymentResponse | Pulumi.AzureNative.MachineLearningServices.Outputs.ManagedOnlineDeploymentResponse: [Required] Additional attributes of the entity.
SystemData Pulumi.AzureNative.MachineLearningServices.Outputs.SystemDataResponse: System data associated with resource provider
Type string: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
Identity Pulumi.AzureNative.MachineLearningServices.Outputs.ResourceIdentityResponse: Service identity associated with a resource.
Kind string: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
Tags Dictionary<string, string>: Resource tags.

Id string: Fully qualified resource ID for the resource. Ex - /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}
Location string: The geo-location where the resource lives
Name string: The name of the resource
Properties K8sOnlineDeploymentResponse | ManagedOnlineDeploymentResponse: [Required] Additional attributes of the entity.
SystemData SystemDataResponse: System data associated with resource provider
Type string: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
Identity ResourceIdentityResponse: Service identity associated with a resource.
Kind string: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
Tags map[string]string: Resource tags.

id String: Fully qualified resource ID for the resource. Ex - /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}
location String: The geo-location where the resource lives
name String: The name of the resource
properties K8sOnlineDeploymentResponse | ManagedOnlineDeploymentResponse: [Required] Additional attributes of the entity.
systemData SystemDataResponse: System data associated with resource provider
type String: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
identity ResourceIdentityResponse: Service identity associated with a resource.
kind String: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
tags Map<String,String>: Resource tags.

id string: Fully qualified resource ID for the resource. Ex - /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}
location string: The geo-location where the resource lives
name string: The name of the resource
properties K8sOnlineDeploymentResponse | ManagedOnlineDeploymentResponse: [Required] Additional attributes of the entity.
systemData SystemDataResponse: System data associated with resource provider
type string: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
identity ResourceIdentityResponse: Service identity associated with a resource.
kind string: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
tags {[key: string]: string}: Resource tags.

id str: Fully qualified resource ID for the resource. Ex - /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}
location str: The geo-location where the resource lives
name str: The name of the resource
properties K8sOnlineDeploymentResponse | ManagedOnlineDeploymentResponse: [Required] Additional attributes of the entity.
system_data SystemDataResponse: System data associated with resource provider
type str: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
identity ResourceIdentityResponse: Service identity associated with a resource.
kind str: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
tags Mapping[str, str]: Resource tags.

id String: Fully qualified resource ID for the resource. Ex - /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}
location String: The geo-location where the resource lives
name String: The name of the resource
properties Property Map | Property Map: [Required] Additional attributes of the entity.
systemData Property Map: System data associated with resource provider
type String: The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
identity Property Map: Service identity associated with a resource.
kind String: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
tags Map<String>: Resource tags.

Supporting Types

AutoScaleSettingsResponse

MaxInstances int: Maximum number of instances for this deployment.
MinInstances int: Minimum number of instances for this deployment.
PollingInterval string: The polling interval in ISO 8691 format. Only supports duration with precision as low as Seconds.
TargetUtilizationPercentage int: Target CPU usage for the autoscaler.

MaxInstances int: Maximum number of instances for this deployment.
MinInstances int: Minimum number of instances for this deployment.
PollingInterval string: The polling interval in ISO 8691 format. Only supports duration with precision as low as Seconds.
TargetUtilizationPercentage int: Target CPU usage for the autoscaler.

maxInstances Integer: Maximum number of instances for this deployment.
minInstances Integer: Minimum number of instances for this deployment.
pollingInterval String: The polling interval in ISO 8691 format. Only supports duration with precision as low as Seconds.
targetUtilizationPercentage Integer: Target CPU usage for the autoscaler.

maxInstances number: Maximum number of instances for this deployment.
minInstances number: Minimum number of instances for this deployment.
pollingInterval string: The polling interval in ISO 8691 format. Only supports duration with precision as low as Seconds.
targetUtilizationPercentage number: Target CPU usage for the autoscaler.

max_instances int: Maximum number of instances for this deployment.
min_instances int: Minimum number of instances for this deployment.
polling_interval str: The polling interval in ISO 8691 format. Only supports duration with precision as low as Seconds.
target_utilization_percentage int: Target CPU usage for the autoscaler.

maxInstances Number: Maximum number of instances for this deployment.
minInstances Number: Minimum number of instances for this deployment.
pollingInterval String: The polling interval in ISO 8691 format. Only supports duration with precision as low as Seconds.
targetUtilizationPercentage Number: Target CPU usage for the autoscaler.

CodeConfigurationResponse

ScoringScript string: [Required] The script to execute on startup. eg. "score.py"
CodeId string: ARM resource ID of the code asset.

ScoringScript string: [Required] The script to execute on startup. eg. "score.py"
CodeId string: ARM resource ID of the code asset.

scoringScript String: [Required] The script to execute on startup. eg. "score.py"
codeId String: ARM resource ID of the code asset.

scoringScript string: [Required] The script to execute on startup. eg. "score.py"
codeId string: ARM resource ID of the code asset.

scoring_script str: [Required] The script to execute on startup. eg. "score.py"
code_id str: ARM resource ID of the code asset.

scoringScript String: [Required] The script to execute on startup. eg. "score.py"
codeId String: ARM resource ID of the code asset.

ContainerResourceRequirementsResponse

Cpu double: The minimum amount of CPU cores to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
CpuLimit double: The maximum amount of CPU cores allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
Fpga int: The number of FPGA PCIE devices exposed to the container. Must be multiple of 2.
Gpu int: The number of GPU cores in the container.
MemoryInGB double: The minimum amount of memory (in GB) to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
MemoryInGBLimit double: The maximum amount of memory (in GB) allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

Cpu float64: The minimum amount of CPU cores to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
CpuLimit float64: The maximum amount of CPU cores allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
Fpga int: The number of FPGA PCIE devices exposed to the container. Must be multiple of 2.
Gpu int: The number of GPU cores in the container.
MemoryInGB float64: The minimum amount of memory (in GB) to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
MemoryInGBLimit float64: The maximum amount of memory (in GB) allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

cpu Double: The minimum amount of CPU cores to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
cpuLimit Double: The maximum amount of CPU cores allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
fpga Integer: The number of FPGA PCIE devices exposed to the container. Must be multiple of 2.
gpu Integer: The number of GPU cores in the container.
memoryInGB Double: The minimum amount of memory (in GB) to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
memoryInGBLimit Double: The maximum amount of memory (in GB) allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

cpu number: The minimum amount of CPU cores to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
cpuLimit number: The maximum amount of CPU cores allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
fpga number: The number of FPGA PCIE devices exposed to the container. Must be multiple of 2.
gpu number: The number of GPU cores in the container.
memoryInGB number: The minimum amount of memory (in GB) to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
memoryInGBLimit number: The maximum amount of memory (in GB) allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

cpu float: The minimum amount of CPU cores to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
cpu_limit float: The maximum amount of CPU cores allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
fpga int: The number of FPGA PCIE devices exposed to the container. Must be multiple of 2.
gpu int: The number of GPU cores in the container.
memory_in_gb float: The minimum amount of memory (in GB) to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
memory_in_gb_limit float: The maximum amount of memory (in GB) allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

cpu Number: The minimum amount of CPU cores to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
cpuLimit Number: The maximum amount of CPU cores allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
fpga Number: The number of FPGA PCIE devices exposed to the container. Must be multiple of 2.
gpu Number: The number of GPU cores in the container.
memoryInGB Number: The minimum amount of memory (in GB) to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
memoryInGBLimit Number: The maximum amount of memory (in GB) allowed to be used by the container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/

DataPathAssetReferenceResponse

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

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

datastoreId String: ARM resource ID of the datastore where the asset is located.
path String: The path of the file/directory in the datastore.

datastoreId string: ARM resource ID of the datastore where the asset is located.
path string: The path of the file/directory in the datastore.

datastore_id str: ARM resource ID of the datastore where the asset is located.
path str: The path of the file/directory in the datastore.

datastoreId String: ARM resource ID of the datastore where the asset is located.
path String: The path of the file/directory in the datastore.

IdAssetReferenceResponse

AssetId string: [Required] ARM resource ID of the asset.

AssetId string: [Required] ARM resource ID of the asset.

assetId String: [Required] ARM resource ID of the asset.

assetId string: [Required] ARM resource ID of the asset.

asset_id str: [Required] ARM resource ID of the asset.

assetId String: [Required] ARM resource ID of the asset.

K8sOnlineDeploymentResponse

ProvisioningState string: Provisioning state for the endpoint deployment.
AppInsightsEnabled bool: If true, enables Application Insights logging.
CodeConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.CodeConfigurationResponse: Code configuration for the endpoint deployment.
ContainerResourceRequirements Pulumi.AzureNative.MachineLearningServices.Inputs.ContainerResourceRequirementsResponse: Resource requirements for each container instance within an online deployment.
Description string: Description of the endpoint deployment.
EnvironmentId string: ARM resource ID of the environment specification for the endpoint deployment.
EnvironmentVariables Dictionary<string, string>: Environment variables configuration for the deployment.
LivenessProbe Pulumi.AzureNative.MachineLearningServices.Inputs.ProbeSettingsResponse: Deployment container liveness/readiness probe configuration.
Model Pulumi.AzureNative.MachineLearningServices.Inputs.DataPathAssetReferenceResponse | Pulumi.AzureNative.MachineLearningServices.Inputs.IdAssetReferenceResponse | Pulumi.AzureNative.MachineLearningServices.Inputs.OutputPathAssetReferenceResponse: Reference to the model asset for the endpoint deployment.
Properties Dictionary<string, string>: Property dictionary. Properties can be added, but not removed or altered.
RequestSettings Pulumi.AzureNative.MachineLearningServices.Inputs.OnlineRequestSettingsResponse: Online deployment scoring requests configuration.
ScaleSettings Pulumi.AzureNative.MachineLearningServices.Inputs.AutoScaleSettingsResponse | Pulumi.AzureNative.MachineLearningServices.Inputs.ManualScaleSettingsResponse: Online deployment scaling configuration.

ProvisioningState string: Provisioning state for the endpoint deployment.
AppInsightsEnabled bool: If true, enables Application Insights logging.
CodeConfiguration CodeConfigurationResponse: Code configuration for the endpoint deployment.
ContainerResourceRequirements ContainerResourceRequirementsResponse: Resource requirements for each container instance within an online deployment.
Description string: Description of the endpoint deployment.
EnvironmentId string: ARM resource ID of the environment specification for the endpoint deployment.
EnvironmentVariables map[string]string: Environment variables configuration for the deployment.
LivenessProbe ProbeSettingsResponse: Deployment container liveness/readiness probe configuration.
Model DataPathAssetReferenceResponse | IdAssetReferenceResponse | OutputPathAssetReferenceResponse: Reference to the model asset for the endpoint deployment.
Properties map[string]string: Property dictionary. Properties can be added, but not removed or altered.
RequestSettings OnlineRequestSettingsResponse: Online deployment scoring requests configuration.
ScaleSettings AutoScaleSettingsResponse | ManualScaleSettingsResponse: Online deployment scaling configuration.

provisioningState String: Provisioning state for the endpoint deployment.
appInsightsEnabled Boolean: If true, enables Application Insights logging.
codeConfiguration CodeConfigurationResponse: Code configuration for the endpoint deployment.
containerResourceRequirements ContainerResourceRequirementsResponse: Resource requirements for each container instance within an online deployment.
description String: Description of the endpoint deployment.
environmentId String: ARM resource ID of the environment specification for the endpoint deployment.
environmentVariables Map<String,String>: Environment variables configuration for the deployment.
livenessProbe ProbeSettingsResponse: Deployment container liveness/readiness probe configuration.
model DataPathAssetReferenceResponse | IdAssetReferenceResponse | OutputPathAssetReferenceResponse: Reference to the model asset for the endpoint deployment.
properties Map<String,String>: Property dictionary. Properties can be added, but not removed or altered.
requestSettings OnlineRequestSettingsResponse: Online deployment scoring requests configuration.
scaleSettings AutoScaleSettingsResponse | ManualScaleSettingsResponse: Online deployment scaling configuration.

provisioningState string: Provisioning state for the endpoint deployment.
appInsightsEnabled boolean: If true, enables Application Insights logging.
codeConfiguration CodeConfigurationResponse: Code configuration for the endpoint deployment.
containerResourceRequirements ContainerResourceRequirementsResponse: Resource requirements for each container instance within an online deployment.
description string: Description of the endpoint deployment.
environmentId string: ARM resource ID of the environment specification for the endpoint deployment.
environmentVariables {[key: string]: string}: Environment variables configuration for the deployment.
livenessProbe ProbeSettingsResponse: Deployment container liveness/readiness probe configuration.
model DataPathAssetReferenceResponse | IdAssetReferenceResponse | OutputPathAssetReferenceResponse: Reference to the model asset for the endpoint deployment.
properties {[key: string]: string}: Property dictionary. Properties can be added, but not removed or altered.
requestSettings OnlineRequestSettingsResponse: Online deployment scoring requests configuration.
scaleSettings AutoScaleSettingsResponse | ManualScaleSettingsResponse: Online deployment scaling configuration.

provisioning_state str: Provisioning state for the endpoint deployment.
app_insights_enabled bool: If true, enables Application Insights logging.
code_configuration CodeConfigurationResponse: Code configuration for the endpoint deployment.
container_resource_requirements ContainerResourceRequirementsResponse: Resource requirements for each container instance within an online deployment.
description str: Description of the endpoint deployment.
environment_id str: ARM resource ID of the environment specification for the endpoint deployment.
environment_variables Mapping[str, str]: Environment variables configuration for the deployment.
liveness_probe ProbeSettingsResponse: Deployment container liveness/readiness probe configuration.
model DataPathAssetReferenceResponse | IdAssetReferenceResponse | OutputPathAssetReferenceResponse: Reference to the model asset for the endpoint deployment.
properties Mapping[str, str]: Property dictionary. Properties can be added, but not removed or altered.
request_settings OnlineRequestSettingsResponse: Online deployment scoring requests configuration.
scale_settings AutoScaleSettingsResponse | ManualScaleSettingsResponse: Online deployment scaling configuration.

provisioningState String: Provisioning state for the endpoint deployment.
appInsightsEnabled Boolean: If true, enables Application Insights logging.
codeConfiguration Property Map: Code configuration for the endpoint deployment.
containerResourceRequirements Property Map: Resource requirements for each container instance within an online deployment.
description String: Description of the endpoint deployment.
environmentId String: ARM resource ID of the environment specification for the endpoint deployment.
environmentVariables Map<String>: Environment variables configuration for the deployment.
livenessProbe Property Map: Deployment container liveness/readiness probe configuration.
model Property Map | Property Map | Property Map: Reference to the model asset for the endpoint deployment.
properties Map<String>: Property dictionary. Properties can be added, but not removed or altered.
requestSettings Property Map: Online deployment scoring requests configuration.
scaleSettings Property Map | Property Map: Online deployment scaling configuration.

ManagedOnlineDeploymentResponse

ProvisioningState string: Provisioning state for the endpoint deployment.
AppInsightsEnabled bool: If true, enables Application Insights logging.
CodeConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.CodeConfigurationResponse: Code configuration for the endpoint deployment.
Description string: Description of the endpoint deployment.
EnvironmentId string: ARM resource ID of the environment specification for the endpoint deployment.
EnvironmentVariables Dictionary<string, string>: Environment variables configuration for the deployment.
InstanceType string: Compute instance type.
LivenessProbe Pulumi.AzureNative.MachineLearningServices.Inputs.ProbeSettingsResponse: Deployment container liveness/readiness probe configuration.
Model Pulumi.AzureNative.MachineLearningServices.Inputs.DataPathAssetReferenceResponse | Pulumi.AzureNative.MachineLearningServices.Inputs.IdAssetReferenceResponse | Pulumi.AzureNative.MachineLearningServices.Inputs.OutputPathAssetReferenceResponse: Reference to the model asset for the endpoint deployment.
Properties Dictionary<string, string>: Property dictionary. Properties can be added, but not removed or altered.
ReadinessProbe Pulumi.AzureNative.MachineLearningServices.Inputs.ProbeSettingsResponse: Deployment container liveness/readiness probe configuration.
RequestSettings Pulumi.AzureNative.MachineLearningServices.Inputs.OnlineRequestSettingsResponse: Online deployment scoring requests configuration.
ScaleSettings Pulumi.AzureNative.MachineLearningServices.Inputs.AutoScaleSettingsResponse | Pulumi.AzureNative.MachineLearningServices.Inputs.ManualScaleSettingsResponse: Online deployment scaling configuration.

ProvisioningState string: Provisioning state for the endpoint deployment.
AppInsightsEnabled bool: If true, enables Application Insights logging.
CodeConfiguration CodeConfigurationResponse: Code configuration for the endpoint deployment.
Description string: Description of the endpoint deployment.
EnvironmentId string: ARM resource ID of the environment specification for the endpoint deployment.
EnvironmentVariables map[string]string: Environment variables configuration for the deployment.
InstanceType string: Compute instance type.
LivenessProbe ProbeSettingsResponse: Deployment container liveness/readiness probe configuration.
Model DataPathAssetReferenceResponse | IdAssetReferenceResponse | OutputPathAssetReferenceResponse: Reference to the model asset for the endpoint deployment.
Properties map[string]string: Property dictionary. Properties can be added, but not removed or altered.
ReadinessProbe ProbeSettingsResponse: Deployment container liveness/readiness probe configuration.
RequestSettings OnlineRequestSettingsResponse: Online deployment scoring requests configuration.
ScaleSettings AutoScaleSettingsResponse | ManualScaleSettingsResponse: Online deployment scaling configuration.

provisioningState String: Provisioning state for the endpoint deployment.
appInsightsEnabled Boolean: If true, enables Application Insights logging.
codeConfiguration CodeConfigurationResponse: Code configuration for the endpoint deployment.
description String: Description of the endpoint deployment.
environmentId String: ARM resource ID of the environment specification for the endpoint deployment.
environmentVariables Map<String,String>: Environment variables configuration for the deployment.
instanceType String: Compute instance type.
livenessProbe ProbeSettingsResponse: Deployment container liveness/readiness probe configuration.
model DataPathAssetReferenceResponse | IdAssetReferenceResponse | OutputPathAssetReferenceResponse: Reference to the model asset for the endpoint deployment.
properties Map<String,String>: Property dictionary. Properties can be added, but not removed or altered.
readinessProbe ProbeSettingsResponse: Deployment container liveness/readiness probe configuration.
requestSettings OnlineRequestSettingsResponse: Online deployment scoring requests configuration.
scaleSettings AutoScaleSettingsResponse | ManualScaleSettingsResponse: Online deployment scaling configuration.

provisioningState string: Provisioning state for the endpoint deployment.
appInsightsEnabled boolean: If true, enables Application Insights logging.
codeConfiguration CodeConfigurationResponse: Code configuration for the endpoint deployment.
description string: Description of the endpoint deployment.
environmentId string: ARM resource ID of the environment specification for the endpoint deployment.
environmentVariables {[key: string]: string}: Environment variables configuration for the deployment.
instanceType string: Compute instance type.
livenessProbe ProbeSettingsResponse: Deployment container liveness/readiness probe configuration.
model DataPathAssetReferenceResponse | IdAssetReferenceResponse | OutputPathAssetReferenceResponse: Reference to the model asset for the endpoint deployment.
properties {[key: string]: string}: Property dictionary. Properties can be added, but not removed or altered.
readinessProbe ProbeSettingsResponse: Deployment container liveness/readiness probe configuration.
requestSettings OnlineRequestSettingsResponse: Online deployment scoring requests configuration.
scaleSettings AutoScaleSettingsResponse | ManualScaleSettingsResponse: Online deployment scaling configuration.

provisioning_state str: Provisioning state for the endpoint deployment.
app_insights_enabled bool: If true, enables Application Insights logging.
code_configuration CodeConfigurationResponse: Code configuration for the endpoint deployment.
description str: Description of the endpoint deployment.
environment_id str: ARM resource ID of the environment specification for the endpoint deployment.
environment_variables Mapping[str, str]: Environment variables configuration for the deployment.
instance_type str: Compute instance type.
liveness_probe ProbeSettingsResponse: Deployment container liveness/readiness probe configuration.
model DataPathAssetReferenceResponse | IdAssetReferenceResponse | OutputPathAssetReferenceResponse: Reference to the model asset for the endpoint deployment.
properties Mapping[str, str]: Property dictionary. Properties can be added, but not removed or altered.
readiness_probe ProbeSettingsResponse: Deployment container liveness/readiness probe configuration.
request_settings OnlineRequestSettingsResponse: Online deployment scoring requests configuration.
scale_settings AutoScaleSettingsResponse | ManualScaleSettingsResponse: Online deployment scaling configuration.

provisioningState String: Provisioning state for the endpoint deployment.
appInsightsEnabled Boolean: If true, enables Application Insights logging.
codeConfiguration Property Map: Code configuration for the endpoint deployment.
description String: Description of the endpoint deployment.
environmentId String: ARM resource ID of the environment specification for the endpoint deployment.
environmentVariables Map<String>: Environment variables configuration for the deployment.
instanceType String: Compute instance type.
livenessProbe Property Map: Deployment container liveness/readiness probe configuration.
model Property Map | Property Map | Property Map: Reference to the model asset for the endpoint deployment.
properties Map<String>: Property dictionary. Properties can be added, but not removed or altered.
readinessProbe Property Map: Deployment container liveness/readiness probe configuration.
requestSettings Property Map: Online deployment scoring requests configuration.
scaleSettings Property Map | Property Map: Online deployment scaling configuration.

ManualScaleSettingsResponse

InstanceCount int: Fixed number of instances for this deployment.
MaxInstances int: Maximum number of instances for this deployment.
MinInstances int: Minimum number of instances for this deployment.

InstanceCount int: Fixed number of instances for this deployment.
MaxInstances int: Maximum number of instances for this deployment.
MinInstances int: Minimum number of instances for this deployment.

instanceCount Integer: Fixed number of instances for this deployment.
maxInstances Integer: Maximum number of instances for this deployment.
minInstances Integer: Minimum number of instances for this deployment.

instanceCount number: Fixed number of instances for this deployment.
maxInstances number: Maximum number of instances for this deployment.
minInstances number: Minimum number of instances for this deployment.

instance_count int: Fixed number of instances for this deployment.
max_instances int: Maximum number of instances for this deployment.
min_instances int: Minimum number of instances for this deployment.

instanceCount Number: Fixed number of instances for this deployment.
maxInstances Number: Maximum number of instances for this deployment.
minInstances Number: Minimum number of instances for this deployment.

OnlineRequestSettingsResponse

MaxConcurrentRequestsPerInstance int: The number of requests allowed to queue at once for this deployment.
MaxQueueWait string: The maximum queue wait time in ISO 8601 format. Supports millisecond precision.
RequestTimeout string: The request timeout in ISO 8601 format. Supports millisecond precision.

MaxConcurrentRequestsPerInstance int: The number of requests allowed to queue at once for this deployment.
MaxQueueWait string: The maximum queue wait time in ISO 8601 format. Supports millisecond precision.
RequestTimeout string: The request timeout in ISO 8601 format. Supports millisecond precision.

maxConcurrentRequestsPerInstance Integer: The number of requests allowed to queue at once for this deployment.
maxQueueWait String: The maximum queue wait time in ISO 8601 format. Supports millisecond precision.
requestTimeout String: The request timeout in ISO 8601 format. Supports millisecond precision.

maxConcurrentRequestsPerInstance number: The number of requests allowed to queue at once for this deployment.
maxQueueWait string: The maximum queue wait time in ISO 8601 format. Supports millisecond precision.
requestTimeout string: The request timeout in ISO 8601 format. Supports millisecond precision.

max_concurrent_requests_per_instance int: The number of requests allowed to queue at once for this deployment.
max_queue_wait str: The maximum queue wait time in ISO 8601 format. Supports millisecond precision.
request_timeout str: The request timeout in ISO 8601 format. Supports millisecond precision.

maxConcurrentRequestsPerInstance Number: The number of requests allowed to queue at once for this deployment.
maxQueueWait String: The maximum queue wait time in ISO 8601 format. Supports millisecond precision.
requestTimeout String: The request timeout in ISO 8601 format. Supports millisecond precision.

OutputPathAssetReferenceResponse

JobId string: ARM resource ID of the job.
Path string: The path of the file/directory in the job output.

JobId string: ARM resource ID of the job.
Path string: The path of the file/directory in the job output.

jobId String: ARM resource ID of the job.
path String: The path of the file/directory in the job output.

jobId string: ARM resource ID of the job.
path string: The path of the file/directory in the job output.

job_id str: ARM resource ID of the job.
path str: The path of the file/directory in the job output.

jobId String: ARM resource ID of the job.
path String: The path of the file/directory in the job output.

ProbeSettingsResponse

FailureThreshold int: The number of failures to allow before returning an unhealthy status.
InitialDelay string: The delay before the first probe in ISO 8601 format.
Period string: The length of time between probes in ISO 8601 format.
SuccessThreshold int: The number of successful probes before returning a healthy status.
Timeout string: The probe timeout in ISO 8601 format.

FailureThreshold int: The number of failures to allow before returning an unhealthy status.
InitialDelay string: The delay before the first probe in ISO 8601 format.
Period string: The length of time between probes in ISO 8601 format.
SuccessThreshold int: The number of successful probes before returning a healthy status.
Timeout string: The probe timeout in ISO 8601 format.

failureThreshold Integer: The number of failures to allow before returning an unhealthy status.
initialDelay String: The delay before the first probe in ISO 8601 format.
period String: The length of time between probes in ISO 8601 format.
successThreshold Integer: The number of successful probes before returning a healthy status.
timeout String: The probe timeout in ISO 8601 format.

failureThreshold number: The number of failures to allow before returning an unhealthy status.
initialDelay string: The delay before the first probe in ISO 8601 format.
period string: The length of time between probes in ISO 8601 format.
successThreshold number: The number of successful probes before returning a healthy status.
timeout string: The probe timeout in ISO 8601 format.

failure_threshold int: The number of failures to allow before returning an unhealthy status.
initial_delay str: The delay before the first probe in ISO 8601 format.
period str: The length of time between probes in ISO 8601 format.
success_threshold int: The number of successful probes before returning a healthy status.
timeout str: The probe timeout in ISO 8601 format.

failureThreshold Number: The number of failures to allow before returning an unhealthy status.
initialDelay String: The delay before the first probe in ISO 8601 format.
period String: The length of time between probes in ISO 8601 format.
successThreshold Number: The number of successful probes before returning a healthy status.
timeout String: The probe timeout in ISO 8601 format.

ResourceIdentityResponse

PrincipalId string: Client ID that is used when authenticating.
TenantId string: AAD Tenant where this identity lives.
Type string: Defines values for a ResourceIdentity's type.
UserAssignedIdentities Dictionary<string, Pulumi.AzureNative.MachineLearningServices.Inputs.UserAssignedIdentityMetaResponse>: Dictionary of the user assigned identities, key is ARM resource ID of the UAI.

PrincipalId string: Client ID that is used when authenticating.
TenantId string: AAD Tenant where this identity lives.
Type string: Defines values for a ResourceIdentity's type.
UserAssignedIdentities map[string]UserAssignedIdentityMetaResponse: Dictionary of the user assigned identities, key is ARM resource ID of the UAI.

principalId String: Client ID that is used when authenticating.
tenantId String: AAD Tenant where this identity lives.
type String: Defines values for a ResourceIdentity's type.
userAssignedIdentities Map<String,UserAssignedIdentityMetaResponse>: Dictionary of the user assigned identities, key is ARM resource ID of the UAI.

principalId string: Client ID that is used when authenticating.
tenantId string: AAD Tenant where this identity lives.
type string: Defines values for a ResourceIdentity's type.
userAssignedIdentities {[key: string]: UserAssignedIdentityMetaResponse}: Dictionary of the user assigned identities, key is ARM resource ID of the UAI.

principal_id str: Client ID that is used when authenticating.
tenant_id str: AAD Tenant where this identity lives.
type str: Defines values for a ResourceIdentity's type.
user_assigned_identities Mapping[str, UserAssignedIdentityMetaResponse]: Dictionary of the user assigned identities, key is ARM resource ID of the UAI.

principalId String: Client ID that is used when authenticating.
tenantId String: AAD Tenant where this identity lives.
type String: Defines values for a ResourceIdentity's type.
userAssignedIdentities Map<Property Map>: Dictionary of the user assigned identities, key is ARM resource ID of the UAI.

SystemDataResponse

CreatedAt string: The timestamp of resource creation (UTC)
CreatedBy string: An identifier for the identity that created the resource
CreatedByType string: The type of identity that created the resource
LastModifiedAt string: The timestamp of resource last modification (UTC)
LastModifiedBy string: An identifier for the identity that last modified the resource
LastModifiedByType string: The type of identity that last modified the resource

CreatedAt string: The timestamp of resource creation (UTC)
CreatedBy string: An identifier for the identity that created the resource
CreatedByType string: The type of identity that created the resource
LastModifiedAt string: The timestamp of resource last modification (UTC)
LastModifiedBy string: An identifier for the identity that last modified the resource
LastModifiedByType string: The type of identity that last modified the resource

createdAt String: The timestamp of resource creation (UTC)
createdBy String: An identifier for the identity that created the resource
createdByType String: The type of identity that created the resource
lastModifiedAt String: The timestamp of resource last modification (UTC)
lastModifiedBy String: An identifier for the identity that last modified the resource
lastModifiedByType String: The type of identity that last modified the resource

createdAt string: The timestamp of resource creation (UTC)
createdBy string: An identifier for the identity that created the resource
createdByType string: The type of identity that created the resource
lastModifiedAt string: The timestamp of resource last modification (UTC)
lastModifiedBy string: An identifier for the identity that last modified the resource
lastModifiedByType string: The type of identity that last modified the resource

created_at str: The timestamp of resource creation (UTC)
created_by str: An identifier for the identity that created the resource
created_by_type str: The type of identity that created the resource
last_modified_at str: The timestamp of resource last modification (UTC)
last_modified_by str: An identifier for the identity that last modified the resource
last_modified_by_type str: The type of identity that last modified the resource

createdAt String: The timestamp of resource creation (UTC)
createdBy String: An identifier for the identity that created the resource
createdByType String: The type of identity that created the resource
lastModifiedAt String: The timestamp of resource last modification (UTC)
lastModifiedBy String: An identifier for the identity that last modified the resource
lastModifiedByType String: The type of identity that last modified the resource

UserAssignedIdentityMetaResponse

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

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

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

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

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

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

Package Details

Repository: https://github.com/pulumi/pulumi-azure-native
License: Apache-2.0