AKSService Args
Machine Learning service object wrapped into ARM resource envelope. API Version: 2021-01-01.
Example Usage
Create Or Update service
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AzureNative = Pulumi.AzureNative;
return await Deployment.RunAsync(() =>
{
var aksService = new AzureNative.MachineLearningServices.AKSService("aksService", new()
{
ResourceGroupName = "testrg123",
ServiceName = "service456",
WorkspaceName = "workspaces123",
});
});
package main
import (
machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
_, err := machinelearningservices.NewAKSService(ctx, "aksService", &machinelearningservices.AKSServiceArgs{
ResourceGroupName: pulumi.String("testrg123"),
ServiceName: pulumi.String("service456"),
WorkspaceName: pulumi.String("workspaces123"),
})
if err != nil {
return err
}
return nil
})
}
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azurenative.machinelearningservices.AKSService;
import com.pulumi.azurenative.machinelearningservices.AKSServiceArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
public static void main(String[] args) {
Pulumi.run(App::stack);
}
public static void stack(Context ctx) {
var aksService = new AKSService("aksService", AKSServiceArgs.builder()
.resourceGroupName("testrg123")
.serviceName("service456")
.workspaceName("workspaces123")
.build());
}
}
Import
An existing resource can be imported using its type token, name, and identifier, e.g.
$ pulumi import azure-native:machinelearningservices:AKSService service456 subscriptions/34adfa4f-cedf-4dc0-ba29-b6d1a69ab345/resourceGroups/testrg123/providers/Microsoft.MachineLearningServices/workspaces/workspaces123/services/service456
Constructors
Properties
Whether or not AAD authentication is enabled.
Whether or not Application Insights is enabled.
Whether or not authentication is enabled.
The auto scaler properties.
The name of the compute resource.
The compute environment type for the service. Expected value is 'AKS'.
The container resource requirements.
Details of the data collection options specified.
The description of the service.
The Environment, models and assets needed for inferencing.
The authentication keys.
The liveness probe requirements.
The maximum number of concurrent requests per container.
Maximum time a request will wait in the queue (in milliseconds). After this time, the service will return 503 (Service Unavailable)
The number of replicas on the cluster.
The service properties dictionary. Properties are immutable.
Name of the resource group in which workspace is located.
The scoring timeout in milliseconds.
Name of the Azure Machine Learning service.
The amount of traffic variant receives.
The type of the variant.
Name of Azure Machine Learning workspace.