Azure Native v1.103.0, Jun 2 23

azure-native.machinelearningservices.getAKSService

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Get a Service by name. API Version: 2021-01-01.

Using getAKSService

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 getAKSService(args: GetAKSServiceArgs, opts?: InvokeOptions): Promise<GetAKSServiceResult>
function getAKSServiceOutput(args: GetAKSServiceOutputArgs, opts?: InvokeOptions): Output<GetAKSServiceResult>

def get_aks_service(expand: Optional[bool] = None,
                    resource_group_name: Optional[str] = None,
                    service_name: Optional[str] = None,
                    workspace_name: Optional[str] = None,
                    opts: Optional[InvokeOptions] = None) -> GetAKSServiceResult
def get_aks_service_output(expand: Optional[pulumi.Input[bool]] = None,
                    resource_group_name: Optional[pulumi.Input[str]] = None,
                    service_name: Optional[pulumi.Input[str]] = None,
                    workspace_name: Optional[pulumi.Input[str]] = None,
                    opts: Optional[InvokeOptions] = None) -> Output[GetAKSServiceResult]

func LookupAKSService(ctx *Context, args *LookupAKSServiceArgs, opts ...InvokeOption) (*LookupAKSServiceResult, error)
func LookupAKSServiceOutput(ctx *Context, args *LookupAKSServiceOutputArgs, opts ...InvokeOption) LookupAKSServiceResultOutput

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

public static class GetAKSService 
{
    public static Task<GetAKSServiceResult> InvokeAsync(GetAKSServiceArgs args, InvokeOptions? opts = null)
    public static Output<GetAKSServiceResult> Invoke(GetAKSServiceInvokeArgs args, InvokeOptions? opts = null)
}

public static CompletableFuture<GetAKSServiceResult> getAKSService(GetAKSServiceArgs args, InvokeOptions options)
// Output-based functions aren't available in Java yet

fn::invoke:
  function: azure-native:machinelearningservices:getAKSService
  arguments:
    # arguments dictionary

The following arguments are supported:

ResourceGroupName string: Name of the resource group in which workspace is located.
ServiceName string: Name of the Azure Machine Learning service.
WorkspaceName string: Name of Azure Machine Learning workspace.
Expand bool: Set to True to include Model details.

ResourceGroupName string: Name of the resource group in which workspace is located.
ServiceName string: Name of the Azure Machine Learning service.
WorkspaceName string: Name of Azure Machine Learning workspace.
Expand bool: Set to True to include Model details.

resourceGroupName String: Name of the resource group in which workspace is located.
serviceName String: Name of the Azure Machine Learning service.
workspaceName String: Name of Azure Machine Learning workspace.
expand Boolean: Set to True to include Model details.

resourceGroupName string: Name of the resource group in which workspace is located.
serviceName string: Name of the Azure Machine Learning service.
workspaceName string: Name of Azure Machine Learning workspace.
expand boolean: Set to True to include Model details.

resource_group_name str: Name of the resource group in which workspace is located.
service_name str: Name of the Azure Machine Learning service.
workspace_name str: Name of Azure Machine Learning workspace.
expand bool: Set to True to include Model details.

resourceGroupName String: Name of the resource group in which workspace is located.
serviceName String: Name of the Azure Machine Learning service.
workspaceName String: Name of Azure Machine Learning workspace.
expand Boolean: Set to True to include Model details.

getAKSService Result

The following output properties are available:

Id string: Specifies the resource ID.
Name string: Specifies the name of the resource.
Properties Pulumi.AzureNative.MachineLearningServices.Outputs.ACIServiceResponseResponse | Pulumi.AzureNative.MachineLearningServices.Outputs.AKSServiceResponseResponse | Pulumi.AzureNative.MachineLearningServices.Outputs.AKSVariantResponseResponse: Service properties
SystemData Pulumi.AzureNative.MachineLearningServices.Outputs.SystemDataResponse: Read only system data
Type string: Specifies the type of the resource.
Identity Pulumi.AzureNative.MachineLearningServices.Outputs.IdentityResponse: The identity of the resource.
Location string: Specifies the location of the resource.
Sku Pulumi.AzureNative.MachineLearningServices.Outputs.SkuResponse: The sku of the workspace.
Tags Dictionary<string, string>: Contains resource tags defined as key/value pairs.

Id string: Specifies the resource ID.
Name string: Specifies the name of the resource.
Properties ACIServiceResponseResponse | AKSServiceResponseResponse | AKSVariantResponseResponse: Service properties
SystemData SystemDataResponse: Read only system data
Type string: Specifies the type of the resource.
Identity IdentityResponse: The identity of the resource.
Location string: Specifies the location of the resource.
Sku SkuResponse: The sku of the workspace.
Tags map[string]string: Contains resource tags defined as key/value pairs.

id String: Specifies the resource ID.
name String: Specifies the name of the resource.
properties ACIServiceResponseResponse | AKSServiceResponseResponse | AKSVariantResponseResponse: Service properties
systemData SystemDataResponse: Read only system data
type String: Specifies the type of the resource.
identity IdentityResponse: The identity of the resource.
location String: Specifies the location of the resource.
sku SkuResponse: The sku of the workspace.
tags Map<String,String>: Contains resource tags defined as key/value pairs.

id string: Specifies the resource ID.
name string: Specifies the name of the resource.
properties ACIServiceResponseResponse | AKSServiceResponseResponse | AKSVariantResponseResponse: Service properties
systemData SystemDataResponse: Read only system data
type string: Specifies the type of the resource.
identity IdentityResponse: The identity of the resource.
location string: Specifies the location of the resource.
sku SkuResponse: The sku of the workspace.
tags {[key: string]: string}: Contains resource tags defined as key/value pairs.

id str: Specifies the resource ID.
name str: Specifies the name of the resource.
properties ACIServiceResponseResponse | AKSServiceResponseResponse | AKSVariantResponseResponse: Service properties
system_data SystemDataResponse: Read only system data
type str: Specifies the type of the resource.
identity IdentityResponse: The identity of the resource.
location str: Specifies the location of the resource.
sku SkuResponse: The sku of the workspace.
tags Mapping[str, str]: Contains resource tags defined as key/value pairs.

id String: Specifies the resource ID.
name String: Specifies the name of the resource.
properties Property Map | Property Map | Property Map: Service properties
systemData Property Map: Read only system data
type String: Specifies the type of the resource.
identity Property Map: The identity of the resource.
location String: Specifies the location of the resource.
sku Property Map: The sku of the workspace.
tags Map<String>: Contains resource tags defined as key/value pairs.

Supporting Types

ACIServiceResponseResponse

Error Pulumi.AzureNative.MachineLearningServices.Inputs.ServiceResponseBaseResponseError: The error details.
ModelConfigMap Dictionary<string, object>: Details on the models and configurations.
ScoringUri string: The Uri for sending scoring requests.
State string: The current state of the service.
SwaggerUri string: The Uri for sending swagger requests.
AppInsightsEnabled bool: Whether or not Application Insights is enabled.
AuthEnabled bool: Whether or not authentication is enabled on the service.
Cname string: The CName for the service.
ContainerResourceRequirements Pulumi.AzureNative.MachineLearningServices.Inputs.ContainerResourceRequirementsResponse: The container resource requirements.
DataCollection Pulumi.AzureNative.MachineLearningServices.Inputs.ACIServiceResponseResponseDataCollection: Details of the data collection options specified.
DeploymentType string: The deployment type for the service.
Description string: The service description.
EncryptionProperties Pulumi.AzureNative.MachineLearningServices.Inputs.ACIServiceResponseResponseEncryptionProperties: The encryption properties.
EnvironmentImageRequest Pulumi.AzureNative.MachineLearningServices.Inputs.ACIServiceResponseResponseEnvironmentImageRequest: The Environment, models and assets used for inferencing.
KvTags Dictionary<string, string>: The service tag dictionary. Tags are mutable.
Location string: The name of the Azure location/region.
Models List<Pulumi.AzureNative.MachineLearningServices.Inputs.ModelResponse>: The list of models.
Properties Dictionary<string, string>: The service property dictionary. Properties are immutable.
PublicFqdn string: The public Fqdn for the service.
PublicIp string: The public IP address for the service.
SslCertificate string: The public SSL certificate in PEM format to use if SSL is enabled.
SslEnabled bool: Whether or not SSL is enabled.
SslKey string: The public SSL key in PEM format for the certificate.
VnetConfiguration Pulumi.AzureNative.MachineLearningServices.Inputs.ACIServiceResponseResponseVnetConfiguration: The virtual network configuration.

Error ServiceResponseBaseResponseError: The error details.
ModelConfigMap map[string]interface{}: Details on the models and configurations.
ScoringUri string: The Uri for sending scoring requests.
State string: The current state of the service.
SwaggerUri string: The Uri for sending swagger requests.
AppInsightsEnabled bool: Whether or not Application Insights is enabled.
AuthEnabled bool: Whether or not authentication is enabled on the service.
Cname string: The CName for the service.
ContainerResourceRequirements ContainerResourceRequirementsResponse: The container resource requirements.
DataCollection ACIServiceResponseResponseDataCollection: Details of the data collection options specified.
DeploymentType string: The deployment type for the service.
Description string: The service description.
EncryptionProperties ACIServiceResponseResponseEncryptionProperties: The encryption properties.
EnvironmentImageRequest ACIServiceResponseResponseEnvironmentImageRequest: The Environment, models and assets used for inferencing.
KvTags map[string]string: The service tag dictionary. Tags are mutable.
Location string: The name of the Azure location/region.
Models []ModelResponse: The list of models.
Properties map[string]string: The service property dictionary. Properties are immutable.
PublicFqdn string: The public Fqdn for the service.
PublicIp string: The public IP address for the service.
SslCertificate string: The public SSL certificate in PEM format to use if SSL is enabled.
SslEnabled bool: Whether or not SSL is enabled.
SslKey string: The public SSL key in PEM format for the certificate.
VnetConfiguration ACIServiceResponseResponseVnetConfiguration: The virtual network configuration.

error ServiceResponseBaseResponseError: The error details.
modelConfigMap Map<String,Object>: Details on the models and configurations.
scoringUri String: The Uri for sending scoring requests.
state String: The current state of the service.
swaggerUri String: The Uri for sending swagger requests.
appInsightsEnabled Boolean: Whether or not Application Insights is enabled.
authEnabled Boolean: Whether or not authentication is enabled on the service.
cname String: The CName for the service.
containerResourceRequirements ContainerResourceRequirementsResponse: The container resource requirements.
dataCollection ACIServiceResponseResponseDataCollection: Details of the data collection options specified.
deploymentType String: The deployment type for the service.
description String: The service description.
encryptionProperties ACIServiceResponseResponseEncryptionProperties: The encryption properties.
environmentImageRequest ACIServiceResponseResponseEnvironmentImageRequest: The Environment, models and assets used for inferencing.
kvTags Map<String,String>: The service tag dictionary. Tags are mutable.
location String: The name of the Azure location/region.
models List<ModelResponse>: The list of models.
properties Map<String,String>: The service property dictionary. Properties are immutable.
publicFqdn String: The public Fqdn for the service.
publicIp String: The public IP address for the service.
sslCertificate String: The public SSL certificate in PEM format to use if SSL is enabled.
sslEnabled Boolean: Whether or not SSL is enabled.
sslKey String: The public SSL key in PEM format for the certificate.
vnetConfiguration ACIServiceResponseResponseVnetConfiguration: The virtual network configuration.

error ServiceResponseBaseResponseError: The error details.
modelConfigMap {[key: string]: any}: Details on the models and configurations.
scoringUri string: The Uri for sending scoring requests.
state string: The current state of the service.
swaggerUri string: The Uri for sending swagger requests.
appInsightsEnabled boolean: Whether or not Application Insights is enabled.
authEnabled boolean: Whether or not authentication is enabled on the service.
cname string: The CName for the service.
containerResourceRequirements ContainerResourceRequirementsResponse: The container resource requirements.
dataCollection ACIServiceResponseResponseDataCollection: Details of the data collection options specified.
deploymentType string: The deployment type for the service.
description string: The service description.
encryptionProperties ACIServiceResponseResponseEncryptionProperties: The encryption properties.
environmentImageRequest ACIServiceResponseResponseEnvironmentImageRequest: The Environment, models and assets used for inferencing.
kvTags {[key: string]: string}: The service tag dictionary. Tags are mutable.
location string: The name of the Azure location/region.
models ModelResponse[]: The list of models.
properties {[key: string]: string}: The service property dictionary. Properties are immutable.
publicFqdn string: The public Fqdn for the service.
publicIp string: The public IP address for the service.
sslCertificate string: The public SSL certificate in PEM format to use if SSL is enabled.
sslEnabled boolean: Whether or not SSL is enabled.
sslKey string: The public SSL key in PEM format for the certificate.
vnetConfiguration ACIServiceResponseResponseVnetConfiguration: The virtual network configuration.

error ServiceResponseBaseResponseError: The error details.
model_config_map Mapping[str, Any]: Details on the models and configurations.
scoring_uri str: The Uri for sending scoring requests.
state str: The current state of the service.
swagger_uri str: The Uri for sending swagger requests.
app_insights_enabled bool: Whether or not Application Insights is enabled.
auth_enabled bool: Whether or not authentication is enabled on the service.
cname str: The CName for the service.
container_resource_requirements ContainerResourceRequirementsResponse: The container resource requirements.
data_collection ACIServiceResponseResponseDataCollection: Details of the data collection options specified.
deployment_type str: The deployment type for the service.
description str: The service description.
encryption_properties ACIServiceResponseResponseEncryptionProperties: The encryption properties.
environment_image_request ACIServiceResponseResponseEnvironmentImageRequest: The Environment, models and assets used for inferencing.
kv_tags Mapping[str, str]: The service tag dictionary. Tags are mutable.
location str: The name of the Azure location/region.
models Sequence[ModelResponse]: The list of models.
properties Mapping[str, str]: The service property dictionary. Properties are immutable.
public_fqdn str: The public Fqdn for the service.
public_ip str: The public IP address for the service.
ssl_certificate str: The public SSL certificate in PEM format to use if SSL is enabled.
ssl_enabled bool: Whether or not SSL is enabled.
ssl_key str: The public SSL key in PEM format for the certificate.
vnet_configuration ACIServiceResponseResponseVnetConfiguration: The virtual network configuration.

error Property Map: The error details.
modelConfigMap Map<Any>: Details on the models and configurations.
scoringUri String: The Uri for sending scoring requests.
state String: The current state of the service.
swaggerUri String: The Uri for sending swagger requests.
appInsightsEnabled Boolean: Whether or not Application Insights is enabled.
authEnabled Boolean: Whether or not authentication is enabled on the service.
cname String: The CName for the service.
containerResourceRequirements Property Map: The container resource requirements.
dataCollection Property Map: Details of the data collection options specified.
deploymentType String: The deployment type for the service.
description String: The service description.
encryptionProperties Property Map: The encryption properties.
environmentImageRequest Property Map: The Environment, models and assets used for inferencing.
kvTags Map<String>: The service tag dictionary. Tags are mutable.
location String: The name of the Azure location/region.
models List<Property Map>: The list of models.
properties Map<String>: The service property dictionary. Properties are immutable.
publicFqdn String: The public Fqdn for the service.
publicIp String: The public IP address for the service.
sslCertificate String: The public SSL certificate in PEM format to use if SSL is enabled.
sslEnabled Boolean: Whether or not SSL is enabled.
sslKey String: The public SSL key in PEM format for the certificate.
vnetConfiguration Property Map: The virtual network configuration.

ACIServiceResponseResponseDataCollection

EventHubEnabled bool: Option for enabling/disabling Event Hub.
StorageEnabled bool: Option for enabling/disabling storage.

EventHubEnabled bool: Option for enabling/disabling Event Hub.
StorageEnabled bool: Option for enabling/disabling storage.

eventHubEnabled Boolean: Option for enabling/disabling Event Hub.
storageEnabled Boolean: Option for enabling/disabling storage.

eventHubEnabled boolean: Option for enabling/disabling Event Hub.
storageEnabled boolean: Option for enabling/disabling storage.

event_hub_enabled bool: Option for enabling/disabling Event Hub.
storage_enabled bool: Option for enabling/disabling storage.

eventHubEnabled Boolean: Option for enabling/disabling Event Hub.
storageEnabled Boolean: Option for enabling/disabling storage.

ACIServiceResponseResponseEncryptionProperties

KeyName string: Encryption Key name
KeyVersion string: Encryption Key Version
VaultBaseUrl string: vault base Url

KeyName string: Encryption Key name
KeyVersion string: Encryption Key Version
VaultBaseUrl string: vault base Url

keyName String: Encryption Key name
keyVersion String: Encryption Key Version
vaultBaseUrl String: vault base Url

keyName string: Encryption Key name
keyVersion string: Encryption Key Version
vaultBaseUrl string: vault base Url

key_name str: Encryption Key name
key_version str: Encryption Key Version
vault_base_url str: vault base Url

keyName String: Encryption Key name
keyVersion String: Encryption Key Version
vaultBaseUrl String: vault base Url

ACIServiceResponseResponseEnvironmentImageRequest

Assets List<Pulumi.AzureNative.MachineLearningServices.Inputs.ImageAssetResponse>: The list of assets.
DriverProgram string: The name of the driver file.
Environment Pulumi.AzureNative.MachineLearningServices.Inputs.EnvironmentImageResponseResponseEnvironment: The details of the AZURE ML environment.
EnvironmentReference Pulumi.AzureNative.MachineLearningServices.Inputs.EnvironmentImageResponseResponseEnvironmentReference: The unique identifying details of the AZURE ML environment.
ModelIds List<string>: The list of model Ids.
Models List<Pulumi.AzureNative.MachineLearningServices.Inputs.ModelResponse>: The list of models.

Assets []ImageAssetResponse: The list of assets.
DriverProgram string: The name of the driver file.
Environment EnvironmentImageResponseResponseEnvironment: The details of the AZURE ML environment.
EnvironmentReference EnvironmentImageResponseResponseEnvironmentReference: The unique identifying details of the AZURE ML environment.
ModelIds []string: The list of model Ids.
Models []ModelResponse: The list of models.

assets List<ImageAssetResponse>: The list of assets.
driverProgram String: The name of the driver file.
environment EnvironmentImageResponseResponseEnvironment: The details of the AZURE ML environment.
environmentReference EnvironmentImageResponseResponseEnvironmentReference: The unique identifying details of the AZURE ML environment.
modelIds List<String>: The list of model Ids.
models List<ModelResponse>: The list of models.

assets ImageAssetResponse[]: The list of assets.
driverProgram string: The name of the driver file.
environment EnvironmentImageResponseResponseEnvironment: The details of the AZURE ML environment.
environmentReference EnvironmentImageResponseResponseEnvironmentReference: The unique identifying details of the AZURE ML environment.
modelIds string[]: The list of model Ids.
models ModelResponse[]: The list of models.

assets Sequence[ImageAssetResponse]: The list of assets.
driver_program str: The name of the driver file.
environment EnvironmentImageResponseResponseEnvironment: The details of the AZURE ML environment.
environment_reference EnvironmentImageResponseResponseEnvironmentReference: The unique identifying details of the AZURE ML environment.
model_ids Sequence[str]: The list of model Ids.
models Sequence[ModelResponse]: The list of models.

assets List<Property Map>: The list of assets.
driverProgram String: The name of the driver file.
environment Property Map: The details of the AZURE ML environment.
environmentReference Property Map: The unique identifying details of the AZURE ML environment.
modelIds List<String>: The list of model Ids.
models List<Property Map>: The list of models.

ACIServiceResponseResponseVnetConfiguration

SubnetName string: The name of the virtual network subnet.
VnetName string: The name of the virtual network.

SubnetName string: The name of the virtual network subnet.
VnetName string: The name of the virtual network.

subnetName String: The name of the virtual network subnet.
vnetName String: The name of the virtual network.

subnetName string: The name of the virtual network subnet.
vnetName string: The name of the virtual network.

subnet_name str: The name of the virtual network subnet.
vnet_name str: The name of the virtual network.

subnetName String: The name of the virtual network subnet.
vnetName String: The name of the virtual network.

AKSReplicaStatusResponseError

Error Pulumi.AzureNative.MachineLearningServices.Inputs.ErrorResponseResponse: The error response.

Error ErrorResponseResponse: The error response.

error ErrorResponseResponse: The error response.

error ErrorResponseResponse: The error response.

error ErrorResponseResponse: The error response.

error Property Map: The error response.

AKSServiceResponseResponse

DeploymentStatus Pulumi.AzureNative.MachineLearningServices.Inputs.AKSServiceResponseResponseDeploymentStatus: The deployment status.
Error Pulumi.AzureNative.MachineLearningServices.Inputs.ServiceResponseBaseResponseError: The error details.
ModelConfigMap Dictionary<string, object>: Details on the models and configurations.
ScoringUri string: The Uri for sending scoring requests.
State string: The current state of the service.
SwaggerUri string: The Uri for sending swagger requests.
AadAuthEnabled bool: Whether or not AAD authentication is enabled.
AppInsightsEnabled bool: Whether or not Application Insights is enabled.
AuthEnabled bool: Whether or not authentication is enabled.
AutoScaler Pulumi.AzureNative.MachineLearningServices.Inputs.AKSServiceResponseResponseAutoScaler: The auto scaler properties.
ComputeName string: The name of the compute resource.
ContainerResourceRequirements Pulumi.AzureNative.MachineLearningServices.Inputs.ContainerResourceRequirementsResponse: The container resource requirements.
DataCollection Pulumi.AzureNative.MachineLearningServices.Inputs.AKSServiceResponseResponseDataCollection: Details of the data collection options specified.
DeploymentType string: The deployment type for the service.
Description string: The service description.
EnvironmentImageRequest Pulumi.AzureNative.MachineLearningServices.Inputs.AKSServiceResponseResponseEnvironmentImageRequest: The Environment, models and assets used for inferencing.
IsDefault bool: Is this the default variant.
KvTags Dictionary<string, string>: The service tag dictionary. Tags are mutable.
LivenessProbeRequirements Pulumi.AzureNative.MachineLearningServices.Inputs.AKSServiceResponseResponseLivenessProbeRequirements: The liveness probe requirements.
MaxConcurrentRequestsPerContainer int: The maximum number of concurrent requests per container.
MaxQueueWaitMs int: Maximum time a request will wait in the queue (in milliseconds). After this time, the service will return 503 (Service Unavailable)
Models List<Pulumi.AzureNative.MachineLearningServices.Inputs.ModelResponse>: The list of models.
Namespace string: The Kubernetes namespace of the deployment.
NumReplicas int: The number of replicas on the cluster.
Properties Dictionary<string, string>: The service property dictionary. Properties are immutable.
ScoringTimeoutMs int: The scoring timeout in milliseconds.
TrafficPercentile double: The amount of traffic variant receives.
Type string: The type of the variant.

DeploymentStatus AKSServiceResponseResponseDeploymentStatus: The deployment status.
Error ServiceResponseBaseResponseError: The error details.
ModelConfigMap map[string]interface{}: Details on the models and configurations.
ScoringUri string: The Uri for sending scoring requests.
State string: The current state of the service.
SwaggerUri string: The Uri for sending swagger requests.
AadAuthEnabled bool: Whether or not AAD authentication is enabled.
AppInsightsEnabled bool: Whether or not Application Insights is enabled.
AuthEnabled bool: Whether or not authentication is enabled.
AutoScaler AKSServiceResponseResponseAutoScaler: The auto scaler properties.
ComputeName string: The name of the compute resource.
ContainerResourceRequirements ContainerResourceRequirementsResponse: The container resource requirements.
DataCollection AKSServiceResponseResponseDataCollection: Details of the data collection options specified.
DeploymentType string: The deployment type for the service.
Description string: The service description.
EnvironmentImageRequest AKSServiceResponseResponseEnvironmentImageRequest: The Environment, models and assets used for inferencing.
IsDefault bool: Is this the default variant.
KvTags map[string]string: The service tag dictionary. Tags are mutable.
LivenessProbeRequirements AKSServiceResponseResponseLivenessProbeRequirements: The liveness probe requirements.
MaxConcurrentRequestsPerContainer int: The maximum number of concurrent requests per container.
MaxQueueWaitMs int: Maximum time a request will wait in the queue (in milliseconds). After this time, the service will return 503 (Service Unavailable)
Models []ModelResponse: The list of models.
Namespace string: The Kubernetes namespace of the deployment.
NumReplicas int: The number of replicas on the cluster.
Properties map[string]string: The service property dictionary. Properties are immutable.
ScoringTimeoutMs int: The scoring timeout in milliseconds.
TrafficPercentile float64: The amount of traffic variant receives.
Type string: The type of the variant.

deploymentStatus AKSServiceResponseResponseDeploymentStatus: The deployment status.
error ServiceResponseBaseResponseError: The error details.
modelConfigMap Map<String,Object>: Details on the models and configurations.
scoringUri String: The Uri for sending scoring requests.
state String: The current state of the service.
swaggerUri String: The Uri for sending swagger requests.
aadAuthEnabled Boolean: Whether or not AAD authentication is enabled.
appInsightsEnabled Boolean: Whether or not Application Insights is enabled.
authEnabled Boolean: Whether or not authentication is enabled.
autoScaler AKSServiceResponseResponseAutoScaler: The auto scaler properties.
computeName String: The name of the compute resource.
containerResourceRequirements ContainerResourceRequirementsResponse: The container resource requirements.
dataCollection AKSServiceResponseResponseDataCollection: Details of the data collection options specified.
deploymentType String: The deployment type for the service.
description String: The service description.
environmentImageRequest AKSServiceResponseResponseEnvironmentImageRequest: The Environment, models and assets used for inferencing.
isDefault Boolean: Is this the default variant.
kvTags Map<String,String>: The service tag dictionary. Tags are mutable.
livenessProbeRequirements AKSServiceResponseResponseLivenessProbeRequirements: The liveness probe requirements.
maxConcurrentRequestsPerContainer Integer: The maximum number of concurrent requests per container.
maxQueueWaitMs Integer: Maximum time a request will wait in the queue (in milliseconds). After this time, the service will return 503 (Service Unavailable)
models List<ModelResponse>: The list of models.
namespace String: The Kubernetes namespace of the deployment.
numReplicas Integer: The number of replicas on the cluster.
properties Map<String,String>: The service property dictionary. Properties are immutable.
scoringTimeoutMs Integer: The scoring timeout in milliseconds.
trafficPercentile Double: The amount of traffic variant receives.
type String: The type of the variant.

deploymentStatus AKSServiceResponseResponseDeploymentStatus: The deployment status.
error ServiceResponseBaseResponseError: The error details.
modelConfigMap {[key: string]: any}: Details on the models and configurations.
scoringUri string: The Uri for sending scoring requests.
state string: The current state of the service.
swaggerUri string: The Uri for sending swagger requests.
aadAuthEnabled boolean: Whether or not AAD authentication is enabled.
appInsightsEnabled boolean: Whether or not Application Insights is enabled.
authEnabled boolean: Whether or not authentication is enabled.
autoScaler AKSServiceResponseResponseAutoScaler: The auto scaler properties.
computeName string: The name of the compute resource.
containerResourceRequirements ContainerResourceRequirementsResponse: The container resource requirements.
dataCollection AKSServiceResponseResponseDataCollection: Details of the data collection options specified.
deploymentType string: The deployment type for the service.
description string: The service description.
environmentImageRequest AKSServiceResponseResponseEnvironmentImageRequest: The Environment, models and assets used for inferencing.
isDefault boolean: Is this the default variant.
kvTags {[key: string]: string}: The service tag dictionary. Tags are mutable.
livenessProbeRequirements AKSServiceResponseResponseLivenessProbeRequirements: The liveness probe requirements.
maxConcurrentRequestsPerContainer number: The maximum number of concurrent requests per container.
maxQueueWaitMs number: Maximum time a request will wait in the queue (in milliseconds). After this time, the service will return 503 (Service Unavailable)
models ModelResponse[]: The list of models.
namespace string: The Kubernetes namespace of the deployment.
numReplicas number: The number of replicas on the cluster.
properties {[key: string]: string}: The service property dictionary. Properties are immutable.
scoringTimeoutMs number: The scoring timeout in milliseconds.
trafficPercentile number: The amount of traffic variant receives.
type string: The type of the variant.

deployment_status AKSServiceResponseResponseDeploymentStatus: The deployment status.
error ServiceResponseBaseResponseError: The error details.
model_config_map Mapping[str, Any]: Details on the models and configurations.
scoring_uri str: The Uri for sending scoring requests.
state str: The current state of the service.
swagger_uri str: The Uri for sending swagger requests.
aad_auth_enabled bool: Whether or not AAD authentication is enabled.
app_insights_enabled bool: Whether or not Application Insights is enabled.
auth_enabled bool: Whether or not authentication is enabled.
auto_scaler AKSServiceResponseResponseAutoScaler: The auto scaler properties.
compute_name str: The name of the compute resource.
container_resource_requirements ContainerResourceRequirementsResponse: The container resource requirements.
data_collection AKSServiceResponseResponseDataCollection: Details of the data collection options specified.
deployment_type str: The deployment type for the service.
description str: The service description.
environment_image_request AKSServiceResponseResponseEnvironmentImageRequest: The Environment, models and assets used for inferencing.
is_default bool: Is this the default variant.
kv_tags Mapping[str, str]: The service tag dictionary. Tags are mutable.
liveness_probe_requirements AKSServiceResponseResponseLivenessProbeRequirements: The liveness probe requirements.
max_concurrent_requests_per_container int: The maximum number of concurrent requests per container.
max_queue_wait_ms int: Maximum time a request will wait in the queue (in milliseconds). After this time, the service will return 503 (Service Unavailable)
models Sequence[ModelResponse]: The list of models.
namespace str: The Kubernetes namespace of the deployment.
num_replicas int: The number of replicas on the cluster.
properties Mapping[str, str]: The service property dictionary. Properties are immutable.
scoring_timeout_ms int: The scoring timeout in milliseconds.
traffic_percentile float: The amount of traffic variant receives.
type str: The type of the variant.

deploymentStatus Property Map: The deployment status.
error Property Map: The error details.
modelConfigMap Map<Any>: Details on the models and configurations.
scoringUri String: The Uri for sending scoring requests.
state String: The current state of the service.
swaggerUri String: The Uri for sending swagger requests.
aadAuthEnabled Boolean: Whether or not AAD authentication is enabled.
appInsightsEnabled Boolean: Whether or not Application Insights is enabled.
authEnabled Boolean: Whether or not authentication is enabled.
autoScaler Property Map: The auto scaler properties.
computeName String: The name of the compute resource.
containerResourceRequirements Property Map: The container resource requirements.
dataCollection Property Map: Details of the data collection options specified.
deploymentType String: The deployment type for the service.
description String: The service description.
environmentImageRequest Property Map: The Environment, models and assets used for inferencing.
isDefault Boolean: Is this the default variant.
kvTags Map<String>: The service tag dictionary. Tags are mutable.
livenessProbeRequirements Property Map: The liveness probe requirements.
maxConcurrentRequestsPerContainer Number: The maximum number of concurrent requests per container.
maxQueueWaitMs Number: Maximum time a request will wait in the queue (in milliseconds). After this time, the service will return 503 (Service Unavailable)
models List<Property Map>: The list of models.
namespace String: The Kubernetes namespace of the deployment.
numReplicas Number: The number of replicas on the cluster.
properties Map<String>: The service property dictionary. Properties are immutable.
scoringTimeoutMs Number: The scoring timeout in milliseconds.
trafficPercentile Number: The amount of traffic variant receives.
type String: The type of the variant.

AKSServiceResponseResponseAutoScaler

AutoscaleEnabled bool: Option to enable/disable auto scaling.
MaxReplicas int: The maximum number of replicas in the cluster.
MinReplicas int: The minimum number of replicas to scale down to.
RefreshPeriodInSeconds int: The amount of seconds to wait between auto scale updates.
TargetUtilization int: The target utilization percentage to use for determining whether to scale the cluster.

AutoscaleEnabled bool: Option to enable/disable auto scaling.
MaxReplicas int: The maximum number of replicas in the cluster.
MinReplicas int: The minimum number of replicas to scale down to.
RefreshPeriodInSeconds int: The amount of seconds to wait between auto scale updates.
TargetUtilization int: The target utilization percentage to use for determining whether to scale the cluster.

autoscaleEnabled Boolean: Option to enable/disable auto scaling.
maxReplicas Integer: The maximum number of replicas in the cluster.
minReplicas Integer: The minimum number of replicas to scale down to.
refreshPeriodInSeconds Integer: The amount of seconds to wait between auto scale updates.
targetUtilization Integer: The target utilization percentage to use for determining whether to scale the cluster.

autoscaleEnabled boolean: Option to enable/disable auto scaling.
maxReplicas number: The maximum number of replicas in the cluster.
minReplicas number: The minimum number of replicas to scale down to.
refreshPeriodInSeconds number: The amount of seconds to wait between auto scale updates.
targetUtilization number: The target utilization percentage to use for determining whether to scale the cluster.

autoscale_enabled bool: Option to enable/disable auto scaling.
max_replicas int: The maximum number of replicas in the cluster.
min_replicas int: The minimum number of replicas to scale down to.
refresh_period_in_seconds int: The amount of seconds to wait between auto scale updates.
target_utilization int: The target utilization percentage to use for determining whether to scale the cluster.

autoscaleEnabled Boolean: Option to enable/disable auto scaling.
maxReplicas Number: The maximum number of replicas in the cluster.
minReplicas Number: The minimum number of replicas to scale down to.
refreshPeriodInSeconds Number: The amount of seconds to wait between auto scale updates.
targetUtilization Number: The target utilization percentage to use for determining whether to scale the cluster.

AKSServiceResponseResponseDataCollection

EventHubEnabled bool: Option for enabling/disabling Event Hub.
StorageEnabled bool: Option for enabling/disabling storage.

EventHubEnabled bool: Option for enabling/disabling Event Hub.
StorageEnabled bool: Option for enabling/disabling storage.

eventHubEnabled Boolean: Option for enabling/disabling Event Hub.
storageEnabled Boolean: Option for enabling/disabling storage.

eventHubEnabled boolean: Option for enabling/disabling Event Hub.
storageEnabled boolean: Option for enabling/disabling storage.

event_hub_enabled bool: Option for enabling/disabling Event Hub.
storage_enabled bool: Option for enabling/disabling storage.

eventHubEnabled Boolean: Option for enabling/disabling Event Hub.
storageEnabled Boolean: Option for enabling/disabling storage.

AKSServiceResponseResponseDeploymentStatus

AvailableReplicas int: The number of available replicas.
DesiredReplicas int: The desired number of replicas.
Error Pulumi.AzureNative.MachineLearningServices.Inputs.AKSReplicaStatusResponseError: The error details.
UpdatedReplicas int: The number of updated replicas.

AvailableReplicas int: The number of available replicas.
DesiredReplicas int: The desired number of replicas.
Error AKSReplicaStatusResponseError: The error details.
UpdatedReplicas int: The number of updated replicas.

availableReplicas Integer: The number of available replicas.
desiredReplicas Integer: The desired number of replicas.
error AKSReplicaStatusResponseError: The error details.
updatedReplicas Integer: The number of updated replicas.

availableReplicas number: The number of available replicas.
desiredReplicas number: The desired number of replicas.
error AKSReplicaStatusResponseError: The error details.
updatedReplicas number: The number of updated replicas.

available_replicas int: The number of available replicas.
desired_replicas int: The desired number of replicas.
error AKSReplicaStatusResponseError: The error details.
updated_replicas int: The number of updated replicas.

availableReplicas Number: The number of available replicas.
desiredReplicas Number: The desired number of replicas.
error Property Map: The error details.
updatedReplicas Number: The number of updated replicas.

AKSServiceResponseResponseEnvironmentImageRequest

Assets List<Pulumi.AzureNative.MachineLearningServices.Inputs.ImageAssetResponse>: The list of assets.
DriverProgram string: The name of the driver file.
Environment Pulumi.AzureNative.MachineLearningServices.Inputs.EnvironmentImageResponseResponseEnvironment: The details of the AZURE ML environment.
EnvironmentReference Pulumi.AzureNative.MachineLearningServices.Inputs.EnvironmentImageResponseResponseEnvironmentReference: The unique identifying details of the AZURE ML environment.
ModelIds List<string>: The list of model Ids.
Models List<Pulumi.AzureNative.MachineLearningServices.Inputs.ModelResponse>: The list of models.

Assets []ImageAssetResponse: The list of assets.
DriverProgram string: The name of the driver file.
Environment EnvironmentImageResponseResponseEnvironment: The details of the AZURE ML environment.
EnvironmentReference EnvironmentImageResponseResponseEnvironmentReference: The unique identifying details of the AZURE ML environment.
ModelIds []string: The list of model Ids.
Models []ModelResponse: The list of models.

assets List<ImageAssetResponse>: The list of assets.
driverProgram String: The name of the driver file.
environment EnvironmentImageResponseResponseEnvironment: The details of the AZURE ML environment.
environmentReference EnvironmentImageResponseResponseEnvironmentReference: The unique identifying details of the AZURE ML environment.
modelIds List<String>: The list of model Ids.
models List<ModelResponse>: The list of models.

assets ImageAssetResponse[]: The list of assets.
driverProgram string: The name of the driver file.
environment EnvironmentImageResponseResponseEnvironment: The details of the AZURE ML environment.
environmentReference EnvironmentImageResponseResponseEnvironmentReference: The unique identifying details of the AZURE ML environment.
modelIds string[]: The list of model Ids.
models ModelResponse[]: The list of models.

assets Sequence[ImageAssetResponse]: The list of assets.
driver_program str: The name of the driver file.
environment EnvironmentImageResponseResponseEnvironment: The details of the AZURE ML environment.
environment_reference EnvironmentImageResponseResponseEnvironmentReference: The unique identifying details of the AZURE ML environment.
model_ids Sequence[str]: The list of model Ids.
models Sequence[ModelResponse]: The list of models.

assets List<Property Map>: The list of assets.
driverProgram String: The name of the driver file.
environment Property Map: The details of the AZURE ML environment.
environmentReference Property Map: The unique identifying details of the AZURE ML environment.
modelIds List<String>: The list of model Ids.
models List<Property Map>: The list of models.

AKSServiceResponseResponseLivenessProbeRequirements

FailureThreshold int: The number of failures to allow before returning an unhealthy status.
InitialDelaySeconds int: The delay before the first probe in seconds.
PeriodSeconds int: The length of time between probes in seconds.
SuccessThreshold int: The number of successful probes before returning a healthy status.
TimeoutSeconds int: The probe timeout in seconds.

FailureThreshold int: The number of failures to allow before returning an unhealthy status.
InitialDelaySeconds int: The delay before the first probe in seconds.
PeriodSeconds int: The length of time between probes in seconds.
SuccessThreshold int: The number of successful probes before returning a healthy status.
TimeoutSeconds int: The probe timeout in seconds.

failureThreshold Integer: The number of failures to allow before returning an unhealthy status.
initialDelaySeconds Integer: The delay before the first probe in seconds.
periodSeconds Integer: The length of time between probes in seconds.
successThreshold Integer: The number of successful probes before returning a healthy status.
timeoutSeconds Integer: The probe timeout in seconds.

failureThreshold number: The number of failures to allow before returning an unhealthy status.
initialDelaySeconds number: The delay before the first probe in seconds.
periodSeconds number: The length of time between probes in seconds.
successThreshold number: The number of successful probes before returning a healthy status.
timeoutSeconds number: The probe timeout in seconds.

failure_threshold int: The number of failures to allow before returning an unhealthy status.
initial_delay_seconds int: The delay before the first probe in seconds.
period_seconds int: The length of time between probes in seconds.
success_threshold int: The number of successful probes before returning a healthy status.
timeout_seconds int: The probe timeout in seconds.

failureThreshold Number: The number of failures to allow before returning an unhealthy status.
initialDelaySeconds Number: The delay before the first probe in seconds.
periodSeconds Number: The length of time between probes in seconds.
successThreshold Number: The number of successful probes before returning a healthy status.
timeoutSeconds Number: The probe timeout in seconds.

AKSVariantResponseResponse

Error Pulumi.AzureNative.MachineLearningServices.Inputs.ServiceResponseBaseResponseError: The error details.
State string: The current state of the service.
DeploymentType string: The deployment type for the service.
Description string: The service description.
IsDefault bool: Is this the default variant.
KvTags Dictionary<string, string>: The service tag dictionary. Tags are mutable.
Properties Dictionary<string, string>: The service property dictionary. Properties are immutable.
TrafficPercentile double: The amount of traffic variant receives.
Type string: The type of the variant.

Error ServiceResponseBaseResponseError: The error details.
State string: The current state of the service.
DeploymentType string: The deployment type for the service.
Description string: The service description.
IsDefault bool: Is this the default variant.
KvTags map[string]string: The service tag dictionary. Tags are mutable.
Properties map[string]string: The service property dictionary. Properties are immutable.
TrafficPercentile float64: The amount of traffic variant receives.
Type string: The type of the variant.

error ServiceResponseBaseResponseError: The error details.
state String: The current state of the service.
deploymentType String: The deployment type for the service.
description String: The service description.
isDefault Boolean: Is this the default variant.
kvTags Map<String,String>: The service tag dictionary. Tags are mutable.
properties Map<String,String>: The service property dictionary. Properties are immutable.
trafficPercentile Double: The amount of traffic variant receives.
type String: The type of the variant.

error ServiceResponseBaseResponseError: The error details.
state string: The current state of the service.
deploymentType string: The deployment type for the service.
description string: The service description.
isDefault boolean: Is this the default variant.
kvTags {[key: string]: string}: The service tag dictionary. Tags are mutable.
properties {[key: string]: string}: The service property dictionary. Properties are immutable.
trafficPercentile number: The amount of traffic variant receives.
type string: The type of the variant.

error ServiceResponseBaseResponseError: The error details.
state str: The current state of the service.
deployment_type str: The deployment type for the service.
description str: The service description.
is_default bool: Is this the default variant.
kv_tags Mapping[str, str]: The service tag dictionary. Tags are mutable.
properties Mapping[str, str]: The service property dictionary. Properties are immutable.
traffic_percentile float: The amount of traffic variant receives.
type str: The type of the variant.

error Property Map: The error details.
state String: The current state of the service.
deploymentType String: The deployment type for the service.
description String: The service description.
isDefault Boolean: Is this the default variant.
kvTags Map<String>: The service tag dictionary. Tags are mutable.
properties Map<String>: The service property dictionary. Properties are immutable.
trafficPercentile Number: The amount of traffic variant receives.
type String: The type of the variant.

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/

DatasetReferenceResponse

Id string: The id of the dataset reference.
Name string: The name of the dataset reference.

Id string: The id of the dataset reference.
Name string: The name of the dataset reference.

id String: The id of the dataset reference.
name String: The name of the dataset reference.

id string: The id of the dataset reference.
name string: The name of the dataset reference.

id str: The id of the dataset reference.
name str: The name of the dataset reference.

id String: The id of the dataset reference.
name String: The name of the dataset reference.

EnvironmentImageResponseResponseEnvironment

Docker Pulumi.AzureNative.MachineLearningServices.Inputs.ModelEnvironmentDefinitionResponseResponseDocker: The definition of a Docker container.
EnvironmentVariables Dictionary<string, string>: Definition of environment variables to be defined in the environment.
InferencingStackVersion string: The inferencing stack version added to the image. To avoid adding an inferencing stack, do not set this value. Valid values: "latest".
Name string: The name of the environment.
Python Pulumi.AzureNative.MachineLearningServices.Inputs.ModelEnvironmentDefinitionResponseResponsePython: Settings for a Python environment.
R Pulumi.AzureNative.MachineLearningServices.Inputs.ModelEnvironmentDefinitionResponseResponseR: Settings for a R environment.
Spark Pulumi.AzureNative.MachineLearningServices.Inputs.ModelEnvironmentDefinitionResponseResponseSpark: The configuration for a Spark environment.
Version string: The environment version.

Docker ModelEnvironmentDefinitionResponseResponseDocker: The definition of a Docker container.
EnvironmentVariables map[string]string: Definition of environment variables to be defined in the environment.
InferencingStackVersion string: The inferencing stack version added to the image. To avoid adding an inferencing stack, do not set this value. Valid values: "latest".
Name string: The name of the environment.
Python ModelEnvironmentDefinitionResponseResponsePython: Settings for a Python environment.
R ModelEnvironmentDefinitionResponseResponseR: Settings for a R environment.
Spark ModelEnvironmentDefinitionResponseResponseSpark: The configuration for a Spark environment.
Version string: The environment version.

docker ModelEnvironmentDefinitionResponseResponseDocker: The definition of a Docker container.
environmentVariables Map<String,String>: Definition of environment variables to be defined in the environment.
inferencingStackVersion String: The inferencing stack version added to the image. To avoid adding an inferencing stack, do not set this value. Valid values: "latest".
name String: The name of the environment.
python ModelEnvironmentDefinitionResponseResponsePython: Settings for a Python environment.
r ModelEnvironmentDefinitionResponseResponseR: Settings for a R environment.
spark ModelEnvironmentDefinitionResponseResponseSpark: The configuration for a Spark environment.
version String: The environment version.

docker ModelEnvironmentDefinitionResponseResponseDocker: The definition of a Docker container.
environmentVariables {[key: string]: string}: Definition of environment variables to be defined in the environment.
inferencingStackVersion string: The inferencing stack version added to the image. To avoid adding an inferencing stack, do not set this value. Valid values: "latest".
name string: The name of the environment.
python ModelEnvironmentDefinitionResponseResponsePython: Settings for a Python environment.
r ModelEnvironmentDefinitionResponseResponseR: Settings for a R environment.
spark ModelEnvironmentDefinitionResponseResponseSpark: The configuration for a Spark environment.
version string: The environment version.

docker ModelEnvironmentDefinitionResponseResponseDocker: The definition of a Docker container.
environment_variables Mapping[str, str]: Definition of environment variables to be defined in the environment.
inferencing_stack_version str: The inferencing stack version added to the image. To avoid adding an inferencing stack, do not set this value. Valid values: "latest".
name str: The name of the environment.
python ModelEnvironmentDefinitionResponseResponsePython: Settings for a Python environment.
r ModelEnvironmentDefinitionResponseResponseR: Settings for a R environment.
spark ModelEnvironmentDefinitionResponseResponseSpark: The configuration for a Spark environment.
version str: The environment version.

docker Property Map: The definition of a Docker container.
environmentVariables Map<String>: Definition of environment variables to be defined in the environment.
inferencingStackVersion String: The inferencing stack version added to the image. To avoid adding an inferencing stack, do not set this value. Valid values: "latest".
name String: The name of the environment.
python Property Map: Settings for a Python environment.
r Property Map: Settings for a R environment.
spark Property Map: The configuration for a Spark environment.
version String: The environment version.

EnvironmentImageResponseResponseEnvironmentReference

Name string: Name of the environment.
Version string: Version of the environment.

Name string: Name of the environment.
Version string: Version of the environment.

name String: Name of the environment.
version String: Version of the environment.

name string: Name of the environment.
version string: Version of the environment.

name str: Name of the environment.
version str: Version of the environment.

name String: Name of the environment.
version String: Version of the environment.

ErrorDetailResponse

Code string: Error code.
Message string: Error message.

Code string: Error code.
Message string: Error message.

code String: Error code.
message String: Error message.

code string: Error code.
message string: Error message.

code str: Error code.
message str: Error message.

code String: Error code.
message String: Error message.

ErrorResponseResponse

Code string: Error code.
Details List<Pulumi.AzureNative.MachineLearningServices.Inputs.ErrorDetailResponse>: An array of error detail objects.
Message string: Error message.

Code string: Error code.
Details []ErrorDetailResponse: An array of error detail objects.
Message string: Error message.

code String: Error code.
details List<ErrorDetailResponse>: An array of error detail objects.
message String: Error message.

code string: Error code.
details ErrorDetailResponse[]: An array of error detail objects.
message string: Error message.

code str: Error code.
details Sequence[ErrorDetailResponse]: An array of error detail objects.
message str: Error message.

code String: Error code.
details List<Property Map>: An array of error detail objects.
message String: Error message.

IdentityResponse

PrincipalId string: The principal ID of resource identity.
TenantId string: The tenant ID of resource.
Type string: The identity type.
UserAssignedIdentities Dictionary<string, Pulumi.AzureNative.MachineLearningServices.Inputs.UserAssignedIdentityResponse>: The user assigned identities associated with the resource.

PrincipalId string: The principal ID of resource identity.
TenantId string: The tenant ID of resource.
Type string: The identity type.
UserAssignedIdentities map[string]UserAssignedIdentityResponse: The user assigned identities associated with the resource.

principalId String: The principal ID of resource identity.
tenantId String: The tenant ID of resource.
type String: The identity type.
userAssignedIdentities Map<String,UserAssignedIdentityResponse>: The user assigned identities associated with the resource.

principalId string: The principal ID of resource identity.
tenantId string: The tenant ID of resource.
type string: The identity type.
userAssignedIdentities {[key: string]: UserAssignedIdentityResponse}: The user assigned identities associated with the resource.

principal_id str: The principal ID of resource identity.
tenant_id str: The tenant ID of resource.
type str: The identity type.
user_assigned_identities Mapping[str, UserAssignedIdentityResponse]: The user assigned identities associated with the resource.

principalId String: The principal ID of resource identity.
tenantId String: The tenant ID of resource.
type String: The identity type.
userAssignedIdentities Map<Property Map>: The user assigned identities associated with the resource.

ImageAssetResponse

Id string: The Asset Id.
MimeType string: The mime type.
Unpack bool: Whether the Asset is unpacked.
Url string: The Url of the Asset.

Id string: The Asset Id.
MimeType string: The mime type.
Unpack bool: Whether the Asset is unpacked.
Url string: The Url of the Asset.

id String: The Asset Id.
mimeType String: The mime type.
unpack Boolean: Whether the Asset is unpacked.
url String: The Url of the Asset.

id string: The Asset Id.
mimeType string: The mime type.
unpack boolean: Whether the Asset is unpacked.
url string: The Url of the Asset.

id str: The Asset Id.
mime_type str: The mime type.
unpack bool: Whether the Asset is unpacked.
url str: The Url of the Asset.

id String: The Asset Id.
mimeType String: The mime type.
unpack Boolean: Whether the Asset is unpacked.
url String: The Url of the Asset.

ModelDockerSectionResponseResponseBaseImageRegistry

Address string

Address string

address String

address string

address str

address String

ModelEnvironmentDefinitionResponseResponseDocker

BaseDockerfile string: Base Dockerfile used for Docker-based runs. Mutually exclusive with BaseImage.
BaseImage string: Base image used for Docker-based runs. Mutually exclusive with BaseDockerfile.
BaseImageRegistry Pulumi.AzureNative.MachineLearningServices.Inputs.ModelDockerSectionResponseResponseBaseImageRegistry: Image registry that contains the base image.

BaseDockerfile string: Base Dockerfile used for Docker-based runs. Mutually exclusive with BaseImage.
BaseImage string: Base image used for Docker-based runs. Mutually exclusive with BaseDockerfile.
BaseImageRegistry ModelDockerSectionResponseResponseBaseImageRegistry: Image registry that contains the base image.

baseDockerfile String: Base Dockerfile used for Docker-based runs. Mutually exclusive with BaseImage.
baseImage String: Base image used for Docker-based runs. Mutually exclusive with BaseDockerfile.
baseImageRegistry ModelDockerSectionResponseResponseBaseImageRegistry: Image registry that contains the base image.

baseDockerfile string: Base Dockerfile used for Docker-based runs. Mutually exclusive with BaseImage.
baseImage string: Base image used for Docker-based runs. Mutually exclusive with BaseDockerfile.
baseImageRegistry ModelDockerSectionResponseResponseBaseImageRegistry: Image registry that contains the base image.

base_dockerfile str: Base Dockerfile used for Docker-based runs. Mutually exclusive with BaseImage.
base_image str: Base image used for Docker-based runs. Mutually exclusive with BaseDockerfile.
base_image_registry ModelDockerSectionResponseResponseBaseImageRegistry: Image registry that contains the base image.

baseDockerfile String: Base Dockerfile used for Docker-based runs. Mutually exclusive with BaseImage.
baseImage String: Base image used for Docker-based runs. Mutually exclusive with BaseDockerfile.
baseImageRegistry Property Map: Image registry that contains the base image.

ModelEnvironmentDefinitionResponseResponsePython

BaseCondaEnvironment string
CondaDependencies object: A JObject containing Conda dependencies.
InterpreterPath string: The python interpreter path to use if an environment build is not required. The path specified gets used to call the user script.
UserManagedDependencies bool: True means that AzureML reuses an existing python environment; False means that AzureML will create a python environment based on the Conda dependencies specification.

BaseCondaEnvironment string
CondaDependencies interface{}: A JObject containing Conda dependencies.
InterpreterPath string: The python interpreter path to use if an environment build is not required. The path specified gets used to call the user script.
UserManagedDependencies bool: True means that AzureML reuses an existing python environment; False means that AzureML will create a python environment based on the Conda dependencies specification.

baseCondaEnvironment String
condaDependencies Object: A JObject containing Conda dependencies.
interpreterPath String: The python interpreter path to use if an environment build is not required. The path specified gets used to call the user script.
userManagedDependencies Boolean: True means that AzureML reuses an existing python environment; False means that AzureML will create a python environment based on the Conda dependencies specification.

baseCondaEnvironment string
condaDependencies any: A JObject containing Conda dependencies.
interpreterPath string: The python interpreter path to use if an environment build is not required. The path specified gets used to call the user script.
userManagedDependencies boolean: True means that AzureML reuses an existing python environment; False means that AzureML will create a python environment based on the Conda dependencies specification.

base_conda_environment str
conda_dependencies Any: A JObject containing Conda dependencies.
interpreter_path str: The python interpreter path to use if an environment build is not required. The path specified gets used to call the user script.
user_managed_dependencies bool: True means that AzureML reuses an existing python environment; False means that AzureML will create a python environment based on the Conda dependencies specification.

baseCondaEnvironment String
condaDependencies Any: A JObject containing Conda dependencies.
interpreterPath String: The python interpreter path to use if an environment build is not required. The path specified gets used to call the user script.
userManagedDependencies Boolean: True means that AzureML reuses an existing python environment; False means that AzureML will create a python environment based on the Conda dependencies specification.

ModelEnvironmentDefinitionResponseResponseR

BioConductorPackages List<string>: The packages from Bioconductor.
CranPackages List<Pulumi.AzureNative.MachineLearningServices.Inputs.RCranPackageResponse>: The CRAN packages to use.
CustomUrlPackages List<string>: The packages from custom urls.
GitHubPackages List<Pulumi.AzureNative.MachineLearningServices.Inputs.RGitHubPackageResponseResponse>: The packages directly from GitHub.
RVersion string: The version of R to be installed
RscriptPath string: The Rscript path to use if an environment build is not required. The path specified gets used to call the user script.
SnapshotDate string: Date of MRAN snapshot to use in YYYY-MM-DD format, e.g. "2019-04-17"
UserManaged bool: Indicates whether the environment is managed by user or by AzureML.

BioConductorPackages []string: The packages from Bioconductor.
CranPackages []RCranPackageResponse: The CRAN packages to use.
CustomUrlPackages []string: The packages from custom urls.
GitHubPackages []RGitHubPackageResponseResponse: The packages directly from GitHub.
RVersion string: The version of R to be installed
RscriptPath string: The Rscript path to use if an environment build is not required. The path specified gets used to call the user script.
SnapshotDate string: Date of MRAN snapshot to use in YYYY-MM-DD format, e.g. "2019-04-17"
UserManaged bool: Indicates whether the environment is managed by user or by AzureML.

bioConductorPackages List<String>: The packages from Bioconductor.
cranPackages List<RCranPackageResponse>: The CRAN packages to use.
customUrlPackages List<String>: The packages from custom urls.
gitHubPackages List<RGitHubPackageResponseResponse>: The packages directly from GitHub.
rVersion String: The version of R to be installed
rscriptPath String: The Rscript path to use if an environment build is not required. The path specified gets used to call the user script.
snapshotDate String: Date of MRAN snapshot to use in YYYY-MM-DD format, e.g. "2019-04-17"
userManaged Boolean: Indicates whether the environment is managed by user or by AzureML.

bioConductorPackages string[]: The packages from Bioconductor.
cranPackages RCranPackageResponse[]: The CRAN packages to use.
customUrlPackages string[]: The packages from custom urls.
gitHubPackages RGitHubPackageResponseResponse[]: The packages directly from GitHub.
rVersion string: The version of R to be installed
rscriptPath string: The Rscript path to use if an environment build is not required. The path specified gets used to call the user script.
snapshotDate string: Date of MRAN snapshot to use in YYYY-MM-DD format, e.g. "2019-04-17"
userManaged boolean: Indicates whether the environment is managed by user or by AzureML.

bio_conductor_packages Sequence[str]: The packages from Bioconductor.
cran_packages Sequence[RCranPackageResponse]: The CRAN packages to use.
custom_url_packages Sequence[str]: The packages from custom urls.
git_hub_packages Sequence[RGitHubPackageResponseResponse]: The packages directly from GitHub.
r_version str: The version of R to be installed
rscript_path str: The Rscript path to use if an environment build is not required. The path specified gets used to call the user script.
snapshot_date str: Date of MRAN snapshot to use in YYYY-MM-DD format, e.g. "2019-04-17"
user_managed bool: Indicates whether the environment is managed by user or by AzureML.

bioConductorPackages List<String>: The packages from Bioconductor.
cranPackages List<Property Map>: The CRAN packages to use.
customUrlPackages List<String>: The packages from custom urls.
gitHubPackages List<Property Map>: The packages directly from GitHub.
rVersion String: The version of R to be installed
rscriptPath String: The Rscript path to use if an environment build is not required. The path specified gets used to call the user script.
snapshotDate String: Date of MRAN snapshot to use in YYYY-MM-DD format, e.g. "2019-04-17"
userManaged Boolean: Indicates whether the environment is managed by user or by AzureML.

ModelEnvironmentDefinitionResponseResponseSpark

Packages List<Pulumi.AzureNative.MachineLearningServices.Inputs.SparkMavenPackageResponse>: The Spark packages to use.
PrecachePackages bool: Whether to precache the packages.
Repositories List<string>: The list of spark repositories.

Packages []SparkMavenPackageResponse: The Spark packages to use.
PrecachePackages bool: Whether to precache the packages.
Repositories []string: The list of spark repositories.

packages List<SparkMavenPackageResponse>: The Spark packages to use.
precachePackages Boolean: Whether to precache the packages.
repositories List<String>: The list of spark repositories.

packages SparkMavenPackageResponse[]: The Spark packages to use.
precachePackages boolean: Whether to precache the packages.
repositories string[]: The list of spark repositories.

packages Sequence[SparkMavenPackageResponse]: The Spark packages to use.
precache_packages bool: Whether to precache the packages.
repositories Sequence[str]: The list of spark repositories.

packages List<Property Map>: The Spark packages to use.
precachePackages Boolean: Whether to precache the packages.
repositories List<String>: The list of spark repositories.

ModelResponse

MimeType string: The MIME type of Model content. For more details about MIME type, please open https://www.iana.org/assignments/media-types/media-types.xhtml
Name string: The Model name.
Url string: The URL of the Model. Usually a SAS URL.
CreatedTime string: The Model creation time (UTC).
Datasets List<Pulumi.AzureNative.MachineLearningServices.Inputs.DatasetReferenceResponse>: The list of datasets associated with the model.
DerivedModelIds List<string>: Models derived from this model
Description string: The Model description text.
ExperimentName string: The name of the experiment where this model was created.
Framework string: The Model framework.
FrameworkVersion string: The Model framework version.
Id string: The Model Id.
KvTags Dictionary<string, string>: The Model tag dictionary. Items are mutable.
ModifiedTime string: The Model last modified time (UTC).
ParentModelId string: The Parent Model Id.
Properties Dictionary<string, string>: The Model property dictionary. Properties are immutable.
ResourceRequirements Pulumi.AzureNative.MachineLearningServices.Inputs.ContainerResourceRequirementsResponse: Resource requirements for the model
RunId string: The RunId that created this model.
SampleInputData string: Sample Input Data for the Model. A reference to a dataset in the workspace in the format aml://dataset/{datasetId}
SampleOutputData string: Sample Output Data for the Model. A reference to a dataset in the workspace in the format aml://dataset/{datasetId}
Unpack bool: Indicates whether we need to unpack the Model during docker Image creation.
Version double: The Model version assigned by Model Management Service.

MimeType string: The MIME type of Model content. For more details about MIME type, please open https://www.iana.org/assignments/media-types/media-types.xhtml
Name string: The Model name.
Url string: The URL of the Model. Usually a SAS URL.
CreatedTime string: The Model creation time (UTC).
Datasets []DatasetReferenceResponse: The list of datasets associated with the model.
DerivedModelIds []string: Models derived from this model
Description string: The Model description text.
ExperimentName string: The name of the experiment where this model was created.
Framework string: The Model framework.
FrameworkVersion string: The Model framework version.
Id string: The Model Id.
KvTags map[string]string: The Model tag dictionary. Items are mutable.
ModifiedTime string: The Model last modified time (UTC).
ParentModelId string: The Parent Model Id.
Properties map[string]string: The Model property dictionary. Properties are immutable.
ResourceRequirements ContainerResourceRequirementsResponse: Resource requirements for the model
RunId string: The RunId that created this model.
SampleInputData string: Sample Input Data for the Model. A reference to a dataset in the workspace in the format aml://dataset/{datasetId}
SampleOutputData string: Sample Output Data for the Model. A reference to a dataset in the workspace in the format aml://dataset/{datasetId}
Unpack bool: Indicates whether we need to unpack the Model during docker Image creation.
Version float64: The Model version assigned by Model Management Service.

mimeType String: The MIME type of Model content. For more details about MIME type, please open https://www.iana.org/assignments/media-types/media-types.xhtml
name String: The Model name.
url String: The URL of the Model. Usually a SAS URL.
createdTime String: The Model creation time (UTC).
datasets List<DatasetReferenceResponse>: The list of datasets associated with the model.
derivedModelIds List<String>: Models derived from this model
description String: The Model description text.
experimentName String: The name of the experiment where this model was created.
framework String: The Model framework.
frameworkVersion String: The Model framework version.
id String: The Model Id.
kvTags Map<String,String>: The Model tag dictionary. Items are mutable.
modifiedTime String: The Model last modified time (UTC).
parentModelId String: The Parent Model Id.
properties Map<String,String>: The Model property dictionary. Properties are immutable.
resourceRequirements ContainerResourceRequirementsResponse: Resource requirements for the model
runId String: The RunId that created this model.
sampleInputData String: Sample Input Data for the Model. A reference to a dataset in the workspace in the format aml://dataset/{datasetId}
sampleOutputData String: Sample Output Data for the Model. A reference to a dataset in the workspace in the format aml://dataset/{datasetId}
unpack Boolean: Indicates whether we need to unpack the Model during docker Image creation.
version Double: The Model version assigned by Model Management Service.

mimeType string: The MIME type of Model content. For more details about MIME type, please open https://www.iana.org/assignments/media-types/media-types.xhtml
name string: The Model name.
url string: The URL of the Model. Usually a SAS URL.
createdTime string: The Model creation time (UTC).
datasets DatasetReferenceResponse[]: The list of datasets associated with the model.
derivedModelIds string[]: Models derived from this model
description string: The Model description text.
experimentName string: The name of the experiment where this model was created.
framework string: The Model framework.
frameworkVersion string: The Model framework version.
id string: The Model Id.
kvTags {[key: string]: string}: The Model tag dictionary. Items are mutable.
modifiedTime string: The Model last modified time (UTC).
parentModelId string: The Parent Model Id.
properties {[key: string]: string}: The Model property dictionary. Properties are immutable.
resourceRequirements ContainerResourceRequirementsResponse: Resource requirements for the model
runId string: The RunId that created this model.
sampleInputData string: Sample Input Data for the Model. A reference to a dataset in the workspace in the format aml://dataset/{datasetId}
sampleOutputData string: Sample Output Data for the Model. A reference to a dataset in the workspace in the format aml://dataset/{datasetId}
unpack boolean: Indicates whether we need to unpack the Model during docker Image creation.
version number: The Model version assigned by Model Management Service.

mime_type str: The MIME type of Model content. For more details about MIME type, please open https://www.iana.org/assignments/media-types/media-types.xhtml
name str: The Model name.
url str: The URL of the Model. Usually a SAS URL.
created_time str: The Model creation time (UTC).
datasets Sequence[DatasetReferenceResponse]: The list of datasets associated with the model.
derived_model_ids Sequence[str]: Models derived from this model
description str: The Model description text.
experiment_name str: The name of the experiment where this model was created.
framework str: The Model framework.
framework_version str: The Model framework version.
id str: The Model Id.
kv_tags Mapping[str, str]: The Model tag dictionary. Items are mutable.
modified_time str: The Model last modified time (UTC).
parent_model_id str: The Parent Model Id.
properties Mapping[str, str]: The Model property dictionary. Properties are immutable.
resource_requirements ContainerResourceRequirementsResponse: Resource requirements for the model
run_id str: The RunId that created this model.
sample_input_data str: Sample Input Data for the Model. A reference to a dataset in the workspace in the format aml://dataset/{datasetId}
sample_output_data str: Sample Output Data for the Model. A reference to a dataset in the workspace in the format aml://dataset/{datasetId}
unpack bool: Indicates whether we need to unpack the Model during docker Image creation.
version float: The Model version assigned by Model Management Service.

mimeType String: The MIME type of Model content. For more details about MIME type, please open https://www.iana.org/assignments/media-types/media-types.xhtml
name String: The Model name.
url String: The URL of the Model. Usually a SAS URL.
createdTime String: The Model creation time (UTC).
datasets List<Property Map>: The list of datasets associated with the model.
derivedModelIds List<String>: Models derived from this model
description String: The Model description text.
experimentName String: The name of the experiment where this model was created.
framework String: The Model framework.
frameworkVersion String: The Model framework version.
id String: The Model Id.
kvTags Map<String>: The Model tag dictionary. Items are mutable.
modifiedTime String: The Model last modified time (UTC).
parentModelId String: The Parent Model Id.
properties Map<String>: The Model property dictionary. Properties are immutable.
resourceRequirements Property Map: Resource requirements for the model
runId String: The RunId that created this model.
sampleInputData String: Sample Input Data for the Model. A reference to a dataset in the workspace in the format aml://dataset/{datasetId}
sampleOutputData String: Sample Output Data for the Model. A reference to a dataset in the workspace in the format aml://dataset/{datasetId}
unpack Boolean: Indicates whether we need to unpack the Model during docker Image creation.
version Number: The Model version assigned by Model Management Service.

RCranPackageResponse

Name string: The package name.
Repository string: The repository name.

Name string: The package name.
Repository string: The repository name.

name String: The package name.
repository String: The repository name.

name string: The package name.
repository string: The repository name.

name str: The package name.
repository str: The repository name.

name String: The package name.
repository String: The repository name.

RGitHubPackageResponseResponse

Repository string: Repository address in the format username/repo[/subdir][@ref|#pull].

Repository string: Repository address in the format username/repo[/subdir][@ref|#pull].

repository String: Repository address in the format username/repo[/subdir][@ref|#pull].

repository string: Repository address in the format username/repo[/subdir][@ref|#pull].

repository str: Repository address in the format username/repo[/subdir][@ref|#pull].

repository String: Repository address in the format username/repo[/subdir][@ref|#pull].

ServiceResponseBaseResponseError

Error Pulumi.AzureNative.MachineLearningServices.Inputs.ErrorResponseResponse: The error response.

Error ErrorResponseResponse: The error response.

error ErrorResponseResponse: The error response.

error ErrorResponseResponse: The error response.

error ErrorResponseResponse: The error response.

error Property Map: The error response.

SkuResponse

Name string: Name of the sku
Tier string: Tier of the sku like Basic or Enterprise

Name string: Name of the sku
Tier string: Tier of the sku like Basic or Enterprise

name String: Name of the sku
tier String: Tier of the sku like Basic or Enterprise

name string: Name of the sku
tier string: Tier of the sku like Basic or Enterprise

name str: Name of the sku
tier str: Tier of the sku like Basic or Enterprise

name String: Name of the sku
tier String: Tier of the sku like Basic or Enterprise

SparkMavenPackageResponse

Artifact string
Group string
Version string

Artifact string
Group string
Version string

artifact String
group String
version String

artifact string
group string
version string

artifact str
group str
version str

artifact String
group String
version String

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

UserAssignedIdentityResponse

ClientId string: The clientId(aka appId) of the user assigned identity.
PrincipalId string: The principal ID of the user assigned identity.
TenantId string: The tenant ID of the user assigned identity.

ClientId string: The clientId(aka appId) of the user assigned identity.
PrincipalId string: The principal ID of the user assigned identity.
TenantId string: The tenant ID of the user assigned identity.

clientId String: The clientId(aka appId) of the user assigned identity.
principalId String: The principal ID of the user assigned identity.
tenantId String: The tenant ID of the user assigned identity.

clientId string: The clientId(aka appId) of the user assigned identity.
principalId string: The principal ID of the user assigned identity.
tenantId string: The tenant ID of the user assigned identity.

client_id str: The clientId(aka appId) of the user assigned identity.
principal_id str: The principal ID of the user assigned identity.
tenant_id str: The tenant ID of the user assigned identity.

clientId String: The clientId(aka appId) of the user assigned identity.
principalId String: The principal ID of the user assigned identity.
tenantId String: The tenant ID of the user assigned identity.

Package Details

Repository: Azure Native pulumi/pulumi-azure-native
License: Apache-2.0