Virtual Machine Scale Sets - Start

Servizio:

Compute

Versione API:

2025-04-01

Avvia una o più macchine virtuali in un set di scalabilità di macchine virtuali.

POST https://management.azure.com/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Compute/virtualMachineScaleSets/{vmScaleSetName}/start?api-version=2025-04-01

Parametri dell'URI

Nome	In	Necessario	Tipo	Descrizione
resourceGroupName	path	True	string minLength: 1 maxLength: 90	Nome del gruppo di risorse. Il nome è insensibile alle maiuscole e minuscole.
subscriptionId	path	True	string minLength: 1	ID della sottoscrizione di destinazione.
vmScaleSetName	path	True	string	Nome del set di scalabilità di macchine virtuali.
api-version	query	True	string minLength: 1	Versione dell'API da usare per questa operazione.

Corpo della richiesta

Nome	Tipo	Descrizione
instanceIds	string[]	ID istanza del set di scalabilità di macchine virtuali. L'omissione degli ID istanza del set di scalabilità di macchine virtuali comporterà l'esecuzione dell'operazione in tutte le macchine virtuali nel set di scalabilità di macchine virtuali.

Risposte

Nome	Tipo	Descrizione
200 OK		La richiesta è andata a buon fine.
202 Accepted		Operazione sulle risorse accettata. Intestazioni Location: string Retry-After: integer
Other Status Codes	CloudError	Risposta di errore imprevista.

Sicurezza

azure_auth

Flusso OAuth2 di Azure Active Directory.

Tipo: oauth2
Flow: implicit
URL di autorizzazione: https://login.microsoftonline.com/common/oauth2/authorize

Ambiti

Nome	Descrizione
user_impersonation	rappresentare l'account utente

Esempio

VirtualMachineScaleSet_Start_MaximumSet_Gen

VirtualMachineScaleSet_Start_MinimumSet_Gen

VirtualMachineScaleSet_Start_MaximumSet_Gen

Esempio di richiesta

HTTP

POST https://management.azure.com/subscriptions/{subscription-id}/resourceGroups/rgcompute/providers/Microsoft.Compute/virtualMachineScaleSets/aaaaaaaaaaaaaaaaaaaaaaaa/start?api-version=2025-04-01

{
  "instanceIds": [
    "aaaaaaaaaaaaaaaaa"
  ]
}

Java

import com.azure.resourcemanager.compute.models.VirtualMachineScaleSetVMInstanceIDs;
import java.util.Arrays;

/**
 * Samples for VirtualMachineScaleSets Start.
 */
public final class Main {
    /*
     * x-ms-original-file:
     * specification/compute/resource-manager/Microsoft.Compute/ComputeRP/stable/2025-04-01/examples/
     * virtualMachineScaleSetExamples/VirtualMachineScaleSet_Start_MaximumSet_Gen.json
     */
    /**
     * Sample code: VirtualMachineScaleSet_Start_MaximumSet_Gen.
     * 
     * @param azure The entry point for accessing resource management APIs in Azure.
     */
    public static void virtualMachineScaleSetStartMaximumSetGen(com.azure.resourcemanager.AzureResourceManager azure) {
        azure.virtualMachines().manager().serviceClient().getVirtualMachineScaleSets().start("rgcompute",
            "aaaaaaaaaaaaaaaaaaaaaaaa",
            new VirtualMachineScaleSetVMInstanceIDs().withInstanceIds(Arrays.asList("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

Python

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_start_maximum_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_sets.begin_start(
        resource_group_name="rgcompute",
        vm_scale_set_name="aaaaaaaaaaaaaaaaaaaaaaaa",
    ).result()


# x-ms-original-file: specification/compute/resource-manager/Microsoft.Compute/ComputeRP/stable/2025-04-01/examples/virtualMachineScaleSetExamples/VirtualMachineScaleSet_Start_MaximumSet_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

Go

package armcompute_test

import (
	"context"
	"log"

	"github.com/Azure/azure-sdk-for-go/sdk/azcore/to"
	"github.com/Azure/azure-sdk-for-go/sdk/azidentity"
	"github.com/Azure/azure-sdk-for-go/sdk/resourcemanager/compute/armcompute/v7"
)

// Generated from example definition: https://github.com/Azure/azure-rest-api-specs/blob/ccea12be6cd5e64743499d46f7a9c8b60df52db1/specification/compute/resource-manager/Microsoft.Compute/ComputeRP/stable/2025-04-01/examples/virtualMachineScaleSetExamples/VirtualMachineScaleSet_Start_MaximumSet_Gen.json
func ExampleVirtualMachineScaleSetsClient_BeginStart_virtualMachineScaleSetStartMaximumSetGen() {
	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.NewVirtualMachineScaleSetsClient().BeginStart(ctx, "rgcompute", "aaaaaaaaaaaaaaaaaaaaaaaa", &armcompute.VirtualMachineScaleSetsClientBeginStartOptions{VMInstanceIDs: &armcompute.VirtualMachineScaleSetVMInstanceIDs{
		InstanceIDs: []*string{
			to.Ptr("aaaaaaaaaaaaaaaaa")},
	},
	})
	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

JavaScript

const { ComputeManagementClient } = require("@azure/arm-compute");
const { DefaultAzureCredential } = require("@azure/identity");
require("dotenv/config");

/**
 * This sample demonstrates how to Starts one or more virtual machines in a VM scale set.
 *
 * @summary Starts one or more virtual machines in a VM scale set.
 * x-ms-original-file: specification/compute/resource-manager/Microsoft.Compute/ComputeRP/stable/2025-04-01/examples/virtualMachineScaleSetExamples/VirtualMachineScaleSet_Start_MaximumSet_Gen.json
 */
async function virtualMachineScaleSetStartMaximumSetGen() {
  const subscriptionId = process.env["COMPUTE_SUBSCRIPTION_ID"] || "{subscription-id}";
  const resourceGroupName = process.env["COMPUTE_RESOURCE_GROUP"] || "rgcompute";
  const vmScaleSetName = "aaaaaaaaaaaaaaaaaaaaaaaa";
  const vmInstanceIDs = {
    instanceIds: ["aaaaaaaaaaaaaaaaa"],
  };
  const options = { vmInstanceIDs };
  const credential = new DefaultAzureCredential();
  const client = new ComputeManagementClient(credential, subscriptionId);
  const result = await client.virtualMachineScaleSets.beginStartAndWait(
    resourceGroupName,
    vmScaleSetName,
    options,
  );
  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

dotnet

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.Models;
using Azure.ResourceManager.Resources.Models;
using Azure.ResourceManager.Compute;

// Generated from example definition: specification/compute/resource-manager/Microsoft.Compute/ComputeRP/stable/2025-04-01/examples/virtualMachineScaleSetExamples/VirtualMachineScaleSet_Start_MaximumSet_Gen.json
// this example is just showing the usage of "VirtualMachineScaleSets_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 VirtualMachineScaleSetResource created on azure
// for more information of creating VirtualMachineScaleSetResource, please refer to the document of VirtualMachineScaleSetResource
string subscriptionId = "{subscription-id}";
string resourceGroupName = "rgcompute";
string virtualMachineScaleSetName = "aaaaaaaaaaaaaaaaaaaaaaaa";
ResourceIdentifier virtualMachineScaleSetResourceId = VirtualMachineScaleSetResource.CreateResourceIdentifier(subscriptionId, resourceGroupName, virtualMachineScaleSetName);
VirtualMachineScaleSetResource virtualMachineScaleSet = client.GetVirtualMachineScaleSetResource(virtualMachineScaleSetResourceId);

// invoke the operation
VirtualMachineScaleSetVmInstanceIds vmInstanceIds = new VirtualMachineScaleSetVmInstanceIds
{
    InstanceIds = { "aaaaaaaaaaaaaaaaa" },
};
await virtualMachineScaleSet.PowerOnAsync(WaitUntil.Completed, vmInstanceIds: vmInstanceIds);

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

Risposta di esempio

Codice di stato:

200

Codice di stato:

202

location: https://foo.com/operationstatus

VirtualMachineScaleSet_Start_MinimumSet_Gen

Esempio di richiesta

HTTP

POST https://management.azure.com/subscriptions/{subscription-id}/resourceGroups/rgcompute/providers/Microsoft.Compute/virtualMachineScaleSets/aaaaaaaaaaaaaaaaaaa/start?api-version=2025-04-01

Java

/**
 * Samples for VirtualMachineScaleSets Start.
 */
public final class Main {
    /*
     * x-ms-original-file:
     * specification/compute/resource-manager/Microsoft.Compute/ComputeRP/stable/2025-04-01/examples/
     * virtualMachineScaleSetExamples/VirtualMachineScaleSet_Start_MinimumSet_Gen.json
     */
    /**
     * Sample code: VirtualMachineScaleSet_Start_MinimumSet_Gen.
     * 
     * @param azure The entry point for accessing resource management APIs in Azure.
     */
    public static void virtualMachineScaleSetStartMinimumSetGen(com.azure.resourcemanager.AzureResourceManager azure) {
        azure.virtualMachines().manager().serviceClient().getVirtualMachineScaleSets().start("rgcompute",
            "aaaaaaaaaaaaaaaaaaa", null, 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

Python

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_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_sets.begin_start(
        resource_group_name="rgcompute",
        vm_scale_set_name="aaaaaaaaaaaaaaaaaaa",
    ).result()


# x-ms-original-file: specification/compute/resource-manager/Microsoft.Compute/ComputeRP/stable/2025-04-01/examples/virtualMachineScaleSetExamples/VirtualMachineScaleSet_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

Go

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/v7"
)

// Generated from example definition: https://github.com/Azure/azure-rest-api-specs/blob/ccea12be6cd5e64743499d46f7a9c8b60df52db1/specification/compute/resource-manager/Microsoft.Compute/ComputeRP/stable/2025-04-01/examples/virtualMachineScaleSetExamples/VirtualMachineScaleSet_Start_MinimumSet_Gen.json
func ExampleVirtualMachineScaleSetsClient_BeginStart_virtualMachineScaleSetStartMinimumSetGen() {
	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.NewVirtualMachineScaleSetsClient().BeginStart(ctx, "rgcompute", "aaaaaaaaaaaaaaaaaaa", &armcompute.VirtualMachineScaleSetsClientBeginStartOptions{VMInstanceIDs: 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

JavaScript

const { ComputeManagementClient } = require("@azure/arm-compute");
const { DefaultAzureCredential } = require("@azure/identity");
require("dotenv/config");

/**
 * This sample demonstrates how to Starts one or more virtual machines in a VM scale set.
 *
 * @summary Starts one or more virtual machines in a VM scale set.
 * x-ms-original-file: specification/compute/resource-manager/Microsoft.Compute/ComputeRP/stable/2025-04-01/examples/virtualMachineScaleSetExamples/VirtualMachineScaleSet_Start_MinimumSet_Gen.json
 */
async function virtualMachineScaleSetStartMinimumSetGen() {
  const subscriptionId = process.env["COMPUTE_SUBSCRIPTION_ID"] || "{subscription-id}";
  const resourceGroupName = process.env["COMPUTE_RESOURCE_GROUP"] || "rgcompute";
  const vmScaleSetName = "aaaaaaaaaaaaaaaaaaa";
  const credential = new DefaultAzureCredential();
  const client = new ComputeManagementClient(credential, subscriptionId);
  const result = await client.virtualMachineScaleSets.beginStartAndWait(
    resourceGroupName,
    vmScaleSetName,
  );
  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

dotnet

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.Models;
using Azure.ResourceManager.Resources.Models;
using Azure.ResourceManager.Compute;

// Generated from example definition: specification/compute/resource-manager/Microsoft.Compute/ComputeRP/stable/2025-04-01/examples/virtualMachineScaleSetExamples/VirtualMachineScaleSet_Start_MinimumSet_Gen.json
// this example is just showing the usage of "VirtualMachineScaleSets_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 VirtualMachineScaleSetResource created on azure
// for more information of creating VirtualMachineScaleSetResource, please refer to the document of VirtualMachineScaleSetResource
string subscriptionId = "{subscription-id}";
string resourceGroupName = "rgcompute";
string virtualMachineScaleSetName = "aaaaaaaaaaaaaaaaaaa";
ResourceIdentifier virtualMachineScaleSetResourceId = VirtualMachineScaleSetResource.CreateResourceIdentifier(subscriptionId, resourceGroupName, virtualMachineScaleSetName);
VirtualMachineScaleSetResource virtualMachineScaleSet = client.GetVirtualMachineScaleSetResource(virtualMachineScaleSetResourceId);

// invoke the operation
await virtualMachineScaleSet.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

Risposta di esempio

Codice di stato:

200

Codice di stato:

202

location: https://foo.com/operationstatus

Definizioni

Nome	Descrizione
ApiError	Errore API.
ApiErrorBase	Base di errore API.
CloudError	Risposta di errore dal servizio di calcolo.
InnerError	Dettagli dell'errore interno.
VirtualMachineScaleSetVMInstanceIDs	Specifica un elenco di ID istanza di macchina virtuale dal set di scalabilità di macchine virtuali.

ApiError

Oggetto

Errore API.

Nome	Tipo	Descrizione
code	string	Codice di errore.
details	ApiErrorBase[]	Dettagli dell'errore Api
innererror	InnerError	L'errore interno dell'API
message	string	Messaggio di errore.
target	string	Destinazione dell'errore specifico.

ApiErrorBase

Oggetto

Base di errore API.

Nome	Tipo	Descrizione
code	string	Codice di errore.
message	string	Messaggio di errore.
target	string	Destinazione dell'errore specifico.

CloudError

Oggetto

Risposta di errore dal servizio di calcolo.

Nome	Tipo	Descrizione
error	ApiError	Errore API.

InnerError

Oggetto

Dettagli dell'errore interno.

Nome	Tipo	Descrizione
errordetail	string	Messaggio di errore interno o dump di eccezione.
exceptiontype	string	Tipo di eccezione.

VirtualMachineScaleSetVMInstanceIDs

Oggetto

Specifica un elenco di ID istanza di macchina virtuale dal set di scalabilità di macchine virtuali.

Nome	Tipo	Descrizione
instanceIds	string[]	ID istanza del set di scalabilità di macchine virtuali. L'omissione degli ID istanza del set di scalabilità di macchine virtuali comporterà l'esecuzione dell'operazione in tutte le macchine virtuali nel set di scalabilità di macchine virtuali.