POST https://management.azure.com/subscriptions/{subscription-id}/resourceGroups/rgcompute/providers/Microsoft.Compute/virtualMachineScaleSets/aaaaaaaaaaaaaaaaaaaaaaaa/virtualmachines/aaaaaaaaaaaaaaaaa/start?api-version=2024-03-01
/**
* Samples for VirtualMachineScaleSetVMs Start.
*/
public final class Main {
/*
* x-ms-original-file:
* specification/compute/resource-manager/Microsoft.Compute/ComputeRP/stable/2024-03-01/examples/
* virtualMachineScaleSetExamples/VirtualMachineScaleSetVM_Start_MinimumSet_Gen.json
*/
/**
* Sample code: VirtualMachineScaleSetVM_Start_MinimumSet_Gen.
*
* @param azure The entry point for accessing resource management APIs in Azure.
*/
public static void
virtualMachineScaleSetVMStartMinimumSetGen(com.azure.resourcemanager.AzureResourceManager azure) {
azure.virtualMachines().manager().serviceClient().getVirtualMachineScaleSetVMs().start("rgcompute",
"aaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaa", com.azure.core.util.Context.NONE);
}
}
To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue
from azure.identity import DefaultAzureCredential
from azure.mgmt.compute import ComputeManagementClient
"""
# PREREQUISITES
pip install azure-identity
pip install azure-mgmt-compute
# USAGE
python virtual_machine_scale_set_vm_start_minimum_set_gen.py
Before run the sample, please set the values of the client ID, tenant ID and client secret
of the AAD application as environment variables: AZURE_CLIENT_ID, AZURE_TENANT_ID,
AZURE_CLIENT_SECRET. For more info about how to get the value, please see:
https://docs.microsoft.com/azure/active-directory/develop/howto-create-service-principal-portal
"""
def main():
client = ComputeManagementClient(
credential=DefaultAzureCredential(),
subscription_id="{subscription-id}",
)
client.virtual_machine_scale_set_vms.begin_start(
resource_group_name="rgcompute",
vm_scale_set_name="aaaaaaaaaaaaaaaaaaaaaaaa",
instance_id="aaaaaaaaaaaaaaaaa",
).result()
# x-ms-original-file: specification/compute/resource-manager/Microsoft.Compute/ComputeRP/stable/2024-03-01/examples/virtualMachineScaleSetExamples/VirtualMachineScaleSetVM_Start_MinimumSet_Gen.json
if __name__ == "__main__":
main()
To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue
package armcompute_test
import (
"context"
"log"
"github.com/Azure/azure-sdk-for-go/sdk/azidentity"
"github.com/Azure/azure-sdk-for-go/sdk/resourcemanager/compute/armcompute/v6"
)
// Generated from example definition: https://github.com/Azure/azure-rest-api-specs/blob/81a4ee5a83ae38620c0e1404793caffe005d26e4/specification/compute/resource-manager/Microsoft.Compute/ComputeRP/stable/2024-03-01/examples/virtualMachineScaleSetExamples/VirtualMachineScaleSetVM_Start_MinimumSet_Gen.json
func ExampleVirtualMachineScaleSetVMsClient_BeginStart_virtualMachineScaleSetVmStartMinimumSetGen() {
cred, err := azidentity.NewDefaultAzureCredential(nil)
if err != nil {
log.Fatalf("failed to obtain a credential: %v", err)
}
ctx := context.Background()
clientFactory, err := armcompute.NewClientFactory("<subscription-id>", cred, nil)
if err != nil {
log.Fatalf("failed to create client: %v", err)
}
poller, err := clientFactory.NewVirtualMachineScaleSetVMsClient().BeginStart(ctx, "rgcompute", "aaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaa", nil)
if err != nil {
log.Fatalf("failed to finish the request: %v", err)
}
_, err = poller.PollUntilDone(ctx, nil)
if err != nil {
log.Fatalf("failed to pull the result: %v", err)
}
}
To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue
const { ComputeManagementClient } = require("@azure/arm-compute");
const { DefaultAzureCredential } = require("@azure/identity");
/**
* This sample demonstrates how to Starts a virtual machine in a VM scale set.
*
* @summary Starts a virtual machine in a VM scale set.
* x-ms-original-file: specification/compute/resource-manager/Microsoft.Compute/ComputeRP/stable/2024-03-01/examples/virtualMachineScaleSetExamples/VirtualMachineScaleSetVM_Start_MinimumSet_Gen.json
*/
async function virtualMachineScaleSetVMStartMinimumSetGen() {
const subscriptionId = process.env["COMPUTE_SUBSCRIPTION_ID"] || "{subscription-id}";
const resourceGroupName = process.env["COMPUTE_RESOURCE_GROUP"] || "rgcompute";
const vmScaleSetName = "aaaaaaaaaaaaaaaaaaaaaaaa";
const instanceId = "aaaaaaaaaaaaaaaaa";
const credential = new DefaultAzureCredential();
const client = new ComputeManagementClient(credential, subscriptionId);
const result = await client.virtualMachineScaleSetVMs.beginStartAndWait(
resourceGroupName,
vmScaleSetName,
instanceId,
);
console.log(result);
}
To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue
using Azure;
using Azure.ResourceManager;
using System;
using System.Threading.Tasks;
using Azure.Core;
using Azure.Identity;
using Azure.ResourceManager.Compute.Models;
using Azure.ResourceManager.Resources.Models;
using Azure.ResourceManager.Compute;
// Generated from example definition: specification/compute/resource-manager/Microsoft.Compute/ComputeRP/stable/2024-03-01/examples/virtualMachineScaleSetExamples/VirtualMachineScaleSetVM_Start_MinimumSet_Gen.json
// this example is just showing the usage of "VirtualMachineScaleSetVMs_Start" operation, for the dependent resources, they will have to be created separately.
// get your azure access token, for more details of how Azure SDK get your access token, please refer to https://learn.microsoft.com/en-us/dotnet/azure/sdk/authentication?tabs=command-line
TokenCredential cred = new DefaultAzureCredential();
// authenticate your client
ArmClient client = new ArmClient(cred);
// this example assumes you already have this VirtualMachineScaleSetVmResource created on azure
// for more information of creating VirtualMachineScaleSetVmResource, please refer to the document of VirtualMachineScaleSetVmResource
string subscriptionId = "{subscription-id}";
string resourceGroupName = "rgcompute";
string virtualMachineScaleSetName = "aaaaaaaaaaaaaaaaaaaaaaaa";
string instanceId = "aaaaaaaaaaaaaaaaa";
ResourceIdentifier virtualMachineScaleSetVmResourceId = VirtualMachineScaleSetVmResource.CreateResourceIdentifier(subscriptionId, resourceGroupName, virtualMachineScaleSetName, instanceId);
VirtualMachineScaleSetVmResource virtualMachineScaleSetVm = client.GetVirtualMachineScaleSetVmResource(virtualMachineScaleSetVmResourceId);
// invoke the operation
await virtualMachineScaleSetVm.PowerOnAsync(WaitUntil.Completed);
Console.WriteLine($"Succeeded");
To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue