Interrompa e reinicie uma VM


Neste documento, explicamos como interromper e reiniciar manualmente uma instância de máquina virtual (VM), bem como como redefinir ou reiniciar uma VM.

  • Interrompa uma VM se ela não for mais usada ou se você quiser modificar uma ou mais propriedades dela. Por exemplo, se você quiser renomear a VM, alterar o tipo de máquina, adicionar ou remover discos anexados ou alterar a plataforma mínima da CPU. Depois de interromper a VM, reinicie-a para retomar a carga de trabalho ou exclua a VM se ela não for mais necessária.

  • Redefina a VM se, por exemplo, ela não responder ou se o sistema operacional (SO) convidado tiver falhado. Depois de redefinir a VM, é possível retomar sua carga de trabalho.

  • Reinicialize uma VM no SO convidado se, por exemplo, você quiser limpar a memória da VM e reinicializá-la para o estado de inicialização original. Depois de reiniciar uma VM no SO convidado, é possível retomar a carga de trabalho.

Antes de começar

  • Configure a autenticação, caso ainda não tenha feito isso. A autenticação é o processo de verificação da sua identidade para acesso a serviços e APIs do Google Cloud. Para executar códigos ou amostras de um ambiente de desenvolvimento local, autentique-se no Compute Engine da seguinte maneira.

    Select the tab for how you plan to use the samples on this page:

    Console

    When you use the Google Cloud console to access Google Cloud services and APIs, you don't need to set up authentication.

    gcloud

    1. Install the Google Cloud CLI, then initialize it by running the following command:

      gcloud init
    2. Set a default region and zone.
    3. Go

      Para usar os exemplos Go desta página em um ambiente de desenvolvimento local, instale e inicialize o gcloud CLI e e configure o Application Default Credentials com suas credenciais de usuário.

      1. Install the Google Cloud CLI.
      2. To initialize the gcloud CLI, run the following command:

        gcloud init
      3. If you're using a local shell, then create local authentication credentials for your user account:

        gcloud auth application-default login

        You don't need to do this if you're using Cloud Shell.

      Confira mais informações em Set up authentication for a local development environment.

      Java

      Para usar os exemplos Java desta página em um ambiente de desenvolvimento local, instale e inicialize o gcloud CLI e e configure o Application Default Credentials com suas credenciais de usuário.

      1. Install the Google Cloud CLI.
      2. To initialize the gcloud CLI, run the following command:

        gcloud init
      3. If you're using a local shell, then create local authentication credentials for your user account:

        gcloud auth application-default login

        You don't need to do this if you're using Cloud Shell.

      Confira mais informações em Set up authentication for a local development environment.

      Node.js

      Para usar os exemplos Node.js desta página em um ambiente de desenvolvimento local, instale e inicialize o gcloud CLI e e configure o Application Default Credentials com suas credenciais de usuário.

      1. Install the Google Cloud CLI.
      2. To initialize the gcloud CLI, run the following command:

        gcloud init
      3. If you're using a local shell, then create local authentication credentials for your user account:

        gcloud auth application-default login

        You don't need to do this if you're using Cloud Shell.

      Confira mais informações em Set up authentication for a local development environment.

      PHP

      Para usar os exemplos PHP desta página em um ambiente de desenvolvimento local, instale e inicialize o gcloud CLI e e configure o Application Default Credentials com suas credenciais de usuário.

      1. Install the Google Cloud CLI.
      2. To initialize the gcloud CLI, run the following command:

        gcloud init
      3. If you're using a local shell, then create local authentication credentials for your user account:

        gcloud auth application-default login

        You don't need to do this if you're using Cloud Shell.

      Confira mais informações em Set up authentication for a local development environment.

      Python

      Para usar os exemplos Python desta página em um ambiente de desenvolvimento local, instale e inicialize o gcloud CLI e e configure o Application Default Credentials com suas credenciais de usuário.

      1. Install the Google Cloud CLI.
      2. To initialize the gcloud CLI, run the following command:

        gcloud init
      3. If you're using a local shell, then create local authentication credentials for your user account:

        gcloud auth application-default login

        You don't need to do this if you're using Cloud Shell.

      Confira mais informações em Set up authentication for a local development environment.

      REST

      Para usar as amostras da API REST nesta página em um ambiente de desenvolvimento local, use as credenciais fornecidas para gcloud CLI.

        Install the Google Cloud CLI, then initialize it by running the following command:

        gcloud init

      Para mais informações, consulte Autenticar para usar REST na documentação de autenticação do Google Cloud.

Funções exigidas

Para receber as permissões necessárias para interromper e reiniciar uma VM, peça ao administrador para conceder a você o Administrador da instância do Compute (v1) (roles/compute.instanceAdmin.v1) ter um papel do IAM no projeto. Para mais informações sobre como conceder papéis, consulte Gerenciar acesso.

Esse papel predefinido contém as permissões necessárias para interromper e reiniciar uma VM. Para conferir as permissões exatas necessárias, expanda a seção Permissões necessárias:

Permissões necessárias

As permissões a seguir são necessárias para interromper e reiniciar uma VM:

  • Para interromper uma VM: compute.instances.stop na VM
  • Para interromper uma VM no SO convidado: compute.instances.setMetadata na VM se ela usar chaves SSH públicas no nível da instância.
  • Para reiniciar uma VM: compute.instances.start na VM
  • Para reiniciar uma VM que usa chaves de criptografia: compute.instances.startWithEncryptionKey na VM
  • Para redefinir uma VM: compute.instances.reset na VM
  • Para reiniciar uma VM no SO convidado: compute.instances.setMetadata na VM

Essas permissões também podem ser concedidas com papéis personalizados ou outros papéis predefinidos.

Interromper uma VM

Quando você interrompe uma VM em execução, acontece o seguinte:

  1. O Compute Engine envia o sinal de encerramento ACPI para a VM e aguarda um breve período para que o SO convidado execute um encerramento limpo. Em seguida, o Compute Engine define o estado da VM como STOPPING primeiro e, em seguida, faz a transição para TERMINATED em um minuto.

  2. A VM é redefinida para o estado de ativação e mantém os IPs internos, endereços MAC, definições de configuração e metadados. No entanto, a VM perde os dados na memória e o estado da VM. Se for necessário manter os dados na memória e o estado da VM, suspenda a VM.

Além disso, se você anexou recursos à VM, eles permanecem anexados até que você os desanexe manualmente ou exclua a VM. Se a VM tiver algum disco SSD local anexado, interromper a VM descartará todos os dados nos discos SSD locais por padrão. Para manter os dados nos discos SSD locais, interrompa a VM usando a CLI gcloud com a sinalização --discard-local-ssd=false. Para mais informações, consulte Interromper uma VM com SSD local.

Para interromper uma VM, selecione um dos métodos descritos neste documento:

Depois de interromper uma VM, é possível reiniciá-la ou excluí-la. Se você não planeja reiniciar a VM, é recomendável excluí-la.

interromper uma VM pelo Google Cloud

Para interromper mais de uma VM por vez, use o console do Google Cloud.

Console

Para interromper uma ou mais VMs, faça o seguinte:

  1. No console do Google Cloud, acesse a página Instâncias de VMs.

    Acessar instâncias de VM

  2. Selecione as VMs que você quer interromper.

  3. Clique em Parar e, em seguida, em Parar para confirmar.

gcloud

Para interromper uma VM, use o comando gcloud compute instances stop:

gcloud compute instances stop VM_NAME \
    --project=PROJECT_ID \
    --zone=ZONE

Substitua:

  • VM_NAME: o nome da VM.

  • PROJECT_ID: o ID do projeto em que a VM está localizada.

  • ZONE: a zona em que a VM está localizada.

Se você anexou um disco SSD local à VM e quer manter os dados do SSD local após interromper a VM, use o comando gcloud beta compute instances stop com --discard-local-ssd=false.

gcloud beta compute instances stop VM_NAME \
    --discard-local-ssd=false \
    --project=PROJECT_ID \
    --zone=ZONE

Go

import (
	"context"
	"fmt"
	"io"

	compute "cloud.google.com/go/compute/apiv1"
	computepb "google.golang.org/genproto/googleapis/cloud/compute/v1"
)

// stopInstance stops a started Google Compute Engine instance
func stopInstance(w io.Writer, projectID, zone, instanceName string) error {
	// projectID := "your_project_id"
	// zone := "europe-central2-b"
	// instanceName := "your_instance_name"

	ctx := context.Background()
	instancesClient, err := compute.NewInstancesRESTClient(ctx)
	if err != nil {
		return fmt.Errorf("NewInstancesRESTClient: %w", err)
	}
	defer instancesClient.Close()

	req := &computepb.StopInstanceRequest{
		Project:  projectID,
		Zone:     zone,
		Instance: instanceName,
	}

	op, err := instancesClient.Stop(ctx, req)
	if err != nil {
		return fmt.Errorf("unable to stop instance: %w", err)
	}

	if err = op.Wait(ctx); err != nil {
		return fmt.Errorf("unable to wait for the operation: %w", err)
	}

	fmt.Fprintf(w, "Instance stopped\n")

	return nil
}

Java


import com.google.api.gax.longrunning.OperationFuture;
import com.google.cloud.compute.v1.InstancesClient;
import com.google.cloud.compute.v1.Operation;
import com.google.cloud.compute.v1.Operation.Status;
import com.google.cloud.compute.v1.StopInstanceRequest;
import java.io.IOException;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.TimeoutException;

public class StopInstance {

  public static void main(String[] args)
      throws IOException, ExecutionException, InterruptedException, TimeoutException {
    // TODO(developer): Replace these variables before running the sample.
    /* project: project ID or project number of the Cloud project your instance belongs to.
       zone: name of the zone your instance belongs to.
       instanceName: name of the instance your want to stop.
     */
    String project = "your-project-id";
    String zone = "zone-name";
    String instanceName = "instance-name";

    stopInstance(project, zone, instanceName);
  }

  // Stops a started Google Compute Engine instance.
  public static void stopInstance(String project, String zone, String instanceName)
      throws IOException, ExecutionException, InterruptedException, TimeoutException {
    /* Initialize client that will be used to send requests. This client only needs to be created
       once, and can be reused for multiple requests. After completing all of your requests, call
       the `instancesClient.close()` method on the client to safely
       clean up any remaining background resources. */
    try (InstancesClient instancesClient = InstancesClient.create()) {

      StopInstanceRequest stopInstanceRequest = StopInstanceRequest.newBuilder()
          .setProject(project)
          .setZone(zone)
          .setInstance(instanceName)
          .build();

      OperationFuture<Operation, Operation> operation = instancesClient.stopAsync(
          stopInstanceRequest);
      Operation response = operation.get(3, TimeUnit.MINUTES);

      if (response.getStatus() == Status.DONE) {
        System.out.println("Instance stopped successfully ! ");
      }
    }
  }
}

Node.js

/**
 * TODO(developer): Uncomment and replace these variables before running the sample.
 */
// const projectId = 'YOUR_PROJECT_ID';
// const zone = 'europe-central2-b'
// const instanceName = 'YOUR_INSTANCE_NAME'

const compute = require('@google-cloud/compute');

async function stopInstance() {
  const instancesClient = new compute.InstancesClient();

  const [response] = await instancesClient.stop({
    project: projectId,
    zone,
    instance: instanceName,
  });
  let operation = response.latestResponse;
  const operationsClient = new compute.ZoneOperationsClient();

  // Wait for the operation to complete.
  while (operation.status !== 'DONE') {
    [operation] = await operationsClient.wait({
      operation: operation.name,
      project: projectId,
      zone: operation.zone.split('/').pop(),
    });
  }

  console.log('Instance stopped.');
}

stopInstance();

PHP

use Google\Cloud\Compute\V1\Client\InstancesClient;
use Google\Cloud\Compute\V1\StopInstanceRequest;

/**
 * Stops a running Google Compute Engine instance.
 *
 * @param string $projectId Project ID or project number of the Cloud project your instance belongs to.
 * @param string $zone Name of the zone your instance belongs to.
 * @param string $instanceName Name of the instance you want to stop.
  *
 * @throws \Google\ApiCore\ApiException if the remote call fails.
 * @throws \Google\ApiCore\ValidationException if local error occurs before remote call.
 */
function stop_instance(
    string $projectId,
    string $zone,
    string $instanceName
) {
    // Stop the Compute Engine instance using InstancesClient.
    $instancesClient = new InstancesClient();
    $request = (new StopInstanceRequest())
        ->setInstance($instanceName)
        ->setProject($projectId)
        ->setZone($zone);
    $operation = $instancesClient->stop($request);

    // Wait for the operation to complete.
    $operation->pollUntilComplete();
    if ($operation->operationSucceeded()) {
        printf('Instance %s stopped successfully' . PHP_EOL, $instanceName);
    } else {
        $error = $operation->getError();
        printf('Failed to stop instance: %s' . PHP_EOL, $error?->getMessage());
    }
}

Python

from __future__ import annotations

import sys
from typing import Any

from google.api_core.extended_operation import ExtendedOperation
from google.cloud import compute_v1

def wait_for_extended_operation(
    operation: ExtendedOperation, verbose_name: str = "operation", timeout: int = 300
) -> Any:
    """
    Waits for the extended (long-running) operation to complete.

    If the operation is successful, it will return its result.
    If the operation ends with an error, an exception will be raised.
    If there were any warnings during the execution of the operation
    they will be printed to sys.stderr.

    Args:
        operation: a long-running operation you want to wait on.
        verbose_name: (optional) a more verbose name of the operation,
            used only during error and warning reporting.
        timeout: how long (in seconds) to wait for operation to finish.
            If None, wait indefinitely.

    Returns:
        Whatever the operation.result() returns.

    Raises:
        This method will raise the exception received from `operation.exception()`
        or RuntimeError if there is no exception set, but there is an `error_code`
        set for the `operation`.

        In case of an operation taking longer than `timeout` seconds to complete,
        a `concurrent.futures.TimeoutError` will be raised.
    """
    result = operation.result(timeout=timeout)

    if operation.error_code:
        print(
            f"Error during {verbose_name}: [Code: {operation.error_code}]: {operation.error_message}",
            file=sys.stderr,
            flush=True,
        )
        print(f"Operation ID: {operation.name}", file=sys.stderr, flush=True)
        raise operation.exception() or RuntimeError(operation.error_message)

    if operation.warnings:
        print(f"Warnings during {verbose_name}:\n", file=sys.stderr, flush=True)
        for warning in operation.warnings:
            print(f" - {warning.code}: {warning.message}", file=sys.stderr, flush=True)

    return result

def stop_instance(project_id: str, zone: str, instance_name: str) -> None:
    """
    Stops a running Google Compute Engine instance.
    Args:
        project_id: project ID or project number of the Cloud project your instance belongs to.
        zone: name of the zone your instance belongs to.
        instance_name: name of the instance your want to stop.
    """
    instance_client = compute_v1.InstancesClient()

    operation = instance_client.stop(
        project=project_id, zone=zone, instance=instance_name
    )
    wait_for_extended_operation(operation, "instance stopping")

REST

Para interromper uma VM, faça uma solicitação POST para o método instances.stop.

 POST https://www.googleapis.com/compute/v1/projects/PROJECT_ID/zones/ZONE/instances/VM_NAME/stop

Substitua:

  • VM_NAME: o nome da VM.

  • PROJECT_ID: o ID do projeto em que a VM está localizada.

  • ZONE: a zona em que a VM está localizada.

Interromper uma VM no SO convidado

Para interromper uma VM no SO convidado quando você estiver conectado a ela, selecione uma das guias a seguir.

Linux

Para interromper uma VM do Linux, selecione um dos seguintes métodos:

  • Para um encerramento limpo que permita que a VM execute scripts de encerramento antes de enviar o sinal de encerramento da ACPI para a VM, execute o seguinte comando:

    sudo shutdown -h now
    
  • Caso contrário, para forçar um encerramento, execute o seguinte comando:

    sudo poweroff
    

Windows

Para interromper uma VM do Windows, selecione um dos seguintes métodos:

  • Para um encerramento limpo que permita que a VM execute scripts de encerramento antes de enviar o sinal de encerramento da ACPI para a VM, execute o seguinte comando:

    shutdown /s
    
  • Caso contrário, para forçar um encerramento, execute o seguinte comando:

    shutdown /f
    

Reiniciar uma VM

Só é possível reiniciar uma VM interrompida se ela estiver no estado TERMINATED. Para reiniciar uma VM, selecione um dos seguintes métodos descritos neste documento:

Reiniciar uma VM sem discos criptografados

Reiniciar uma VM interrompida que não usa discos criptografados (padrão). Para reiniciar mais de uma VM por vez, use o console do Google Cloud.

Console

Para reiniciar uma ou mais VMs, faça o seguinte:

  1. No console do Google Cloud, acesse a página Instâncias de VMs.

    Acessar instâncias de VM

  2. Selecione uma ou mais VMs.

  3. Clique em Iniciar / continuar .

gcloud

Para interromper uma VM, use o comando gcloud compute instances start:

gcloud compute instances start VM_NAME \
    --project=PROJECT_ID \
    --zone=ZONE

Substitua:

  • VM_NAME: o nome da VM.

  • PROJECT_ID: o ID do projeto em que a VM está localizada.

  • ZONE: a zona em que a VM está localizada.

Go

import (
	"context"
	"fmt"
	"io"

	compute "cloud.google.com/go/compute/apiv1"
	computepb "google.golang.org/genproto/googleapis/cloud/compute/v1"
)

// startInstance starts a stopped Google Compute Engine instance (with unencrypted disks).
func startInstance(w io.Writer, projectID, zone, instanceName string) error {
	// projectID := "your_project_id"
	// zone := "europe-central2-b"
	// instanceName := "your_instance_name"

	ctx := context.Background()
	instancesClient, err := compute.NewInstancesRESTClient(ctx)
	if err != nil {
		return fmt.Errorf("NewInstancesRESTClient: %w", err)
	}
	defer instancesClient.Close()

	req := &computepb.StartInstanceRequest{
		Project:  projectID,
		Zone:     zone,
		Instance: instanceName,
	}

	op, err := instancesClient.Start(ctx, req)
	if err != nil {
		return fmt.Errorf("unable to start instance: %w", err)
	}

	if err = op.Wait(ctx); err != nil {
		return fmt.Errorf("unable to wait for the operation: %w", err)
	}

	fmt.Fprintf(w, "Instance started\n")

	return nil
}

Java


import com.google.api.gax.longrunning.OperationFuture;
import com.google.cloud.compute.v1.InstancesClient;
import com.google.cloud.compute.v1.Operation;
import com.google.cloud.compute.v1.Operation.Status;
import com.google.cloud.compute.v1.StartInstanceRequest;
import java.io.IOException;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.TimeoutException;

public class StartInstance {

  public static void main(String[] args)
      throws IOException, ExecutionException, InterruptedException, TimeoutException {
    // TODO(developer): Replace these variables before running the sample.
    /* project: project ID or project number of the Cloud project your instance belongs to.
       zone: name of the zone your instance belongs to.
       instanceName: name of the instance your want to start. */
    String project = "your-project-id";
    String zone = "zone-name";
    String instanceName = "instance-name";

    startInstance(project, zone, instanceName);
  }

  // Starts a stopped Google Compute Engine instance (with unencrypted disks).
  public static void startInstance(String project, String zone, String instanceName)
      throws IOException, ExecutionException, InterruptedException, TimeoutException {
    /* Initialize client that will be used to send requests. This client only needs to be created
       once, and can be reused for multiple requests. After completing all of your requests, call
       the `instancesClient.close()` method on the client to safely
       clean up any remaining background resources. */
    try (InstancesClient instancesClient = InstancesClient.create()) {

      // Create the request.
      StartInstanceRequest startInstanceRequest = StartInstanceRequest.newBuilder()
          .setProject(project)
          .setZone(zone)
          .setInstance(instanceName)
          .build();

      OperationFuture<Operation, Operation> operation = instancesClient.startAsync(
          startInstanceRequest);

      // Wait for the operation to complete.
      Operation response = operation.get(3, TimeUnit.MINUTES);

      if (response.getStatus() == Status.DONE) {
        System.out.println("Instance started successfully ! ");
      }
    }
  }
}

Node.js

/**
 * TODO(developer): Uncomment and replace these variables before running the sample.
 */
// const projectId = 'YOUR_PROJECT_ID';
// const zone = 'europe-central2-b'
// const instanceName = 'YOUR_INSTANCE_NAME'

const compute = require('@google-cloud/compute');

async function startInstance() {
  const instancesClient = new compute.InstancesClient();

  const [response] = await instancesClient.start({
    project: projectId,
    zone,
    instance: instanceName,
  });
  let operation = response.latestResponse;
  const operationsClient = new compute.ZoneOperationsClient();

  // Wait for the operation to complete.
  while (operation.status !== 'DONE') {
    [operation] = await operationsClient.wait({
      operation: operation.name,
      project: projectId,
      zone: operation.zone.split('/').pop(),
    });
  }

  console.log('Instance started.');
}

startInstance();

PHP

use Google\Cloud\Compute\V1\Client\InstancesClient;
use Google\Cloud\Compute\V1\StartInstanceRequest;

/**
 * Starts a stopped Google Compute Engine instance (with unencrypted disks).
 *
 * @param string $projectId Project ID or project number of the Cloud project your instance belongs to.
 * @param string $zone Name of the zone your instance belongs to.
 * @param string $instanceName Name of the instance you want to stop.
  *
 * @throws \Google\ApiCore\ApiException if the remote call fails.
 * @throws \Google\ApiCore\ValidationException if local error occurs before remote call.
 */
function start_instance(
    string $projectId,
    string $zone,
    string $instanceName
) {
    // Start the Compute Engine instance using InstancesClient.
    $instancesClient = new InstancesClient();
    $request = (new StartInstanceRequest())
        ->setInstance($instanceName)
        ->setProject($projectId)
        ->setZone($zone);
    $operation = $instancesClient->start($request);

    // Wait for the operation to complete.
    $operation->pollUntilComplete();
    if ($operation->operationSucceeded()) {
        printf('Instance %s started successfully' . PHP_EOL, $instanceName);
    } else {
        $error = $operation->getError();
        printf('Failed to start instance: %s' . PHP_EOL, $error?->getMessage());
    }
}

Python

from __future__ import annotations

import sys
from typing import Any

from google.api_core.extended_operation import ExtendedOperation
from google.cloud import compute_v1

def wait_for_extended_operation(
    operation: ExtendedOperation, verbose_name: str = "operation", timeout: int = 300
) -> Any:
    """
    Waits for the extended (long-running) operation to complete.

    If the operation is successful, it will return its result.
    If the operation ends with an error, an exception will be raised.
    If there were any warnings during the execution of the operation
    they will be printed to sys.stderr.

    Args:
        operation: a long-running operation you want to wait on.
        verbose_name: (optional) a more verbose name of the operation,
            used only during error and warning reporting.
        timeout: how long (in seconds) to wait for operation to finish.
            If None, wait indefinitely.

    Returns:
        Whatever the operation.result() returns.

    Raises:
        This method will raise the exception received from `operation.exception()`
        or RuntimeError if there is no exception set, but there is an `error_code`
        set for the `operation`.

        In case of an operation taking longer than `timeout` seconds to complete,
        a `concurrent.futures.TimeoutError` will be raised.
    """
    result = operation.result(timeout=timeout)

    if operation.error_code:
        print(
            f"Error during {verbose_name}: [Code: {operation.error_code}]: {operation.error_message}",
            file=sys.stderr,
            flush=True,
        )
        print(f"Operation ID: {operation.name}", file=sys.stderr, flush=True)
        raise operation.exception() or RuntimeError(operation.error_message)

    if operation.warnings:
        print(f"Warnings during {verbose_name}:\n", file=sys.stderr, flush=True)
        for warning in operation.warnings:
            print(f" - {warning.code}: {warning.message}", file=sys.stderr, flush=True)

    return result

def start_instance(project_id: str, zone: str, instance_name: str) -> None:
    """
    Starts a stopped Google Compute Engine instance (with unencrypted disks).
    Args:
        project_id: project ID or project number of the Cloud project your instance belongs to.
        zone: name of the zone your instance belongs to.
        instance_name: name of the instance your want to start.
    """
    instance_client = compute_v1.InstancesClient()

    operation = instance_client.start(
        project=project_id, zone=zone, instance=instance_name
    )

    wait_for_extended_operation(operation, "instance start")

REST

Para reiniciar uma VM, faça uma solicitação POST para o método instances.start.

 POST https://www.googleapis.com/compute/v1/projects/PROJECT_ID/zones/ZONE/instances/VM_NAME/start

Substitua:

  • VM_NAME: o nome da VM a ser reiniciada.

  • PROJECT_ID: o ID do projeto em que a VM está localizada.

  • ZONE: a zona em que a VM está localizada.

Reiniciar uma VM que tem discos criptografados

É possível reiniciar uma VM interrompida que use chaves de criptografia fornecidas pelo cliente para criptografar os discos permanentes anexados a ela.

Console

Para reiniciar uma VM que usa discos criptografados, faça o seguinte:

  1. No console do Google Cloud, acesse a página Instâncias de VMs.

    Acessar instâncias de VM

  2. Selecione a VM a ser reiniciada.

  3. Clique em Iniciar / continuar .

  4. Especifique as chaves de criptografia para cada um dos discos criptografados anexados a essa VM e clique em Iniciar.

gcloud

Para reiniciar uma VM que usa discos criptografados, use o comando gcloud compute instances start com a sinalização --csek-key-file. Se você estiver usando uma chave incorporada por RSA, utilize o comando gcloud beta compute instances start.

gcloud compute instances start VM_NAME \
    --csek-key-file=ENCRYPTION_KEY_FILE \
    --project=PROJECT_ID \
    --zone=ZONE

Substitua:

  • VM_NAME: o nome da VM.

  • ENCRYPTION_KEY_FILE: o caminho relativo para o arquivo JSON que contém a chave de criptografia fornecida pelo cliente.

  • PROJECT_ID: o ID do projeto em que a VM está localizada.

  • ZONE: a zona em que a VM está localizada.

Go

import (
	"context"
	"fmt"
	"io"

	compute "cloud.google.com/go/compute/apiv1"
	computepb "google.golang.org/genproto/googleapis/cloud/compute/v1"
	"google.golang.org/protobuf/proto"
)

// startInstanceWithEncKey starts a stopped Google Compute Engine instance (with encrypted disks).
func startInstanceWithEncKey(w io.Writer, projectID, zone, instanceName, key string) error {
	// projectID := "your_project_id"
	// zone := "europe-central2-b"
	// instanceName := "your_instance_name"
	// key := "your_encryption_key"

	ctx := context.Background()
	instancesClient, err := compute.NewInstancesRESTClient(ctx)
	if err != nil {
		return fmt.Errorf("NewInstancesRESTClient: %w", err)
	}
	defer instancesClient.Close()

	instanceReq := &computepb.GetInstanceRequest{
		Project:  projectID,
		Zone:     zone,
		Instance: instanceName,
	}

	instance, err := instancesClient.Get(ctx, instanceReq)
	if err != nil {
		return fmt.Errorf("unable to get instance: %w", err)
	}

	req := &computepb.StartWithEncryptionKeyInstanceRequest{
		Project:  projectID,
		Zone:     zone,
		Instance: instanceName,
		InstancesStartWithEncryptionKeyRequestResource: &computepb.InstancesStartWithEncryptionKeyRequest{
			Disks: []*computepb.CustomerEncryptionKeyProtectedDisk{
				{
					Source: proto.String(instance.GetDisks()[0].GetSource()),
					DiskEncryptionKey: &computepb.CustomerEncryptionKey{
						RawKey: proto.String(key),
					},
				},
			},
		},
	}

	op, err := instancesClient.StartWithEncryptionKey(ctx, req)
	if err != nil {
		return fmt.Errorf("unable to start instance with encryption key: %w", err)
	}

	if err = op.Wait(ctx); err != nil {
		return fmt.Errorf("unable to wait for the operation: %w", err)
	}

	fmt.Fprintf(w, "Instance with encryption key started\n")

	return nil
}

Java


import com.google.api.gax.longrunning.OperationFuture;
import com.google.cloud.compute.v1.CustomerEncryptionKey;
import com.google.cloud.compute.v1.CustomerEncryptionKeyProtectedDisk;
import com.google.cloud.compute.v1.GetInstanceRequest;
import com.google.cloud.compute.v1.Instance;
import com.google.cloud.compute.v1.InstancesClient;
import com.google.cloud.compute.v1.InstancesStartWithEncryptionKeyRequest;
import com.google.cloud.compute.v1.Operation;
import com.google.cloud.compute.v1.Operation.Status;
import com.google.cloud.compute.v1.StartWithEncryptionKeyInstanceRequest;
import java.io.IOException;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.TimeoutException;

public class StartEncryptedInstance {

  public static void main(String[] args)
      throws IOException, ExecutionException, InterruptedException, TimeoutException {
    // TODO(developer): Replace these variables before running the sample.
    /* project: project ID or project number of the Cloud project your instance belongs to.
       zone: name of the zone your instance belongs to.
       instanceName: name of the instance your want to start.
       key: bytes object representing a raw base64 encoded key to your machines boot disk.
            For more information about disk encryption see:
            https://cloud.google.com/compute/docs/disks/customer-supplied-encryption#specifications
     */
    String project = "your-project-id";
    String zone = "zone-name";
    String instanceName = "instance-name";
    String key = "raw-key";

    startEncryptedInstance(project, zone, instanceName, key);
  }

  // Starts a stopped Google Compute Engine instance (with encrypted disks).
  public static void startEncryptedInstance(String project, String zone, String instanceName,
      String key)
      throws IOException, ExecutionException, InterruptedException, TimeoutException {
    /* Initialize client that will be used to send requests. This client only needs to be created
       once, and can be reused for multiple requests. After completing all of your requests, call
       the `instancesClient.close()` method on the client to safely
       clean up any remaining background resources. */
    try (InstancesClient instancesClient = InstancesClient.create()) {

      GetInstanceRequest getInstanceRequest = GetInstanceRequest.newBuilder()
          .setProject(project)
          .setZone(zone)
          .setInstance(instanceName).build();

      Instance instance = instancesClient.get(getInstanceRequest);

      // Prepare the information about disk encryption.
      CustomerEncryptionKeyProtectedDisk protectedDisk = CustomerEncryptionKeyProtectedDisk
          .newBuilder()
          /* Use raw_key to send over the key to unlock the disk
             To use a key stored in KMS, you need to provide:
             `kms_key_name` and `kms_key_service_account`
           */
          .setDiskEncryptionKey(CustomerEncryptionKey.newBuilder()
              .setRawKey(key).build())
          .setSource(instance.getDisks(0).getSource())
          .build();

      InstancesStartWithEncryptionKeyRequest startWithEncryptionKeyRequest =
          InstancesStartWithEncryptionKeyRequest.newBuilder()
              .addDisks(protectedDisk).build();

      StartWithEncryptionKeyInstanceRequest encryptionKeyInstanceRequest =
          StartWithEncryptionKeyInstanceRequest.newBuilder()
              .setProject(project)
              .setZone(zone)
              .setInstance(instanceName)
              .setInstancesStartWithEncryptionKeyRequestResource(startWithEncryptionKeyRequest)
              .build();

      OperationFuture<Operation, Operation> operation = instancesClient.startWithEncryptionKeyAsync(
          encryptionKeyInstanceRequest);
      Operation response = operation.get(3, TimeUnit.MINUTES);

      if (response.getStatus() == Status.DONE) {
        System.out.println("Encrypted instance started successfully ! ");
      }
    }
  }

}

Node.js

/**
 * TODO(developer): Uncomment and replace these variables before running the sample.
 */
// const projectId = 'YOUR_PROJECT_ID';
// const zone = 'europe-central2-b'
// const instanceName = 'YOUR_INSTANCE_NAME'
// const key = 'YOUR_KEY_STRING'

const compute = require('@google-cloud/compute');

async function startInstanceWithEncryptionKey() {
  const instancesClient = new compute.InstancesClient();

  const [instance] = await instancesClient.get({
    project: projectId,
    zone,
    instance: instanceName,
  });

  const [response] = await instancesClient.startWithEncryptionKey({
    project: projectId,
    zone,
    instance: instanceName,
    instancesStartWithEncryptionKeyRequestResource: {
      disks: [
        {
          source: instance.disks[0].source,
          diskEncryptionKey: {
            rawKey: key,
          },
        },
      ],
    },
  });
  let operation = response.latestResponse;
  const operationsClient = new compute.ZoneOperationsClient();

  // Wait for the operation to complete.
  while (operation.status !== 'DONE') {
    [operation] = await operationsClient.wait({
      operation: operation.name,
      project: projectId,
      zone: operation.zone.split('/').pop(),
    });
  }

  console.log('Instance with encryption key started.');
}

startInstanceWithEncryptionKey();

PHP

use Google\Cloud\Compute\V1\Client\InstancesClient;
use Google\Cloud\Compute\V1\CustomerEncryptionKey;
use Google\Cloud\Compute\V1\CustomerEncryptionKeyProtectedDisk;
use Google\Cloud\Compute\V1\GetInstanceRequest;
use Google\Cloud\Compute\V1\InstancesStartWithEncryptionKeyRequest;
use Google\Cloud\Compute\V1\StartWithEncryptionKeyInstanceRequest;

/**
 * Starts a stopped Google Compute Engine instance (with encrypted disks).
 *
 * @param string $projectId Project ID or project number of the Cloud project your instance belongs to.
 * @param string $zone Name of the zone your instance belongs to.
 * @param string $instanceName Name of the instance you want to stop.
 * @param string $key Bytes object representing a raw base64 encoded key to your instance's boot disk.
 *                    For more information about disk encryption see:
 *                    https://cloud.google.com/compute/docs/disks/customer-supplied-encryption#specifications
 *
 * @throws \Google\ApiCore\ApiException if the remote call fails.
 * @throws \Google\ApiCore\ValidationException if local error occurs before remote call.
 */
function start_instance_with_encryption_key(
    string $projectId,
    string $zone,
    string $instanceName,
    string $key
) {
    // Initiate the InstancesClient.
    $instancesClient = new InstancesClient();

    // Get data about the instance.
    $request = (new GetInstanceRequest())
        ->setInstance($instanceName)
        ->setProject($projectId)
        ->setZone($zone);
    $instanceData = $instancesClient->get($request);

    // Use `setRawKey` to send over the key to unlock the disk
    // To use a key stored in KMS, you need to use `setKmsKeyName` and `setKmsKeyServiceAccount`
    $customerEncryptionKey = (new CustomerEncryptionKey())
        ->setRawKey($key);

    /** @var \Google\Cloud\Compute\V1\AttachedDisk */
    $disk = $instanceData->getDisks()[0];

    // Prepare the information about disk encryption.
    $diskData = (new CustomerEncryptionKeyProtectedDisk())
        ->setSource($disk->getSource())
        ->setDiskEncryptionKey($customerEncryptionKey);

    // Set request with one disk.
    $instancesStartWithEncryptionKeyRequest = (new InstancesStartWithEncryptionKeyRequest())
        ->setDisks(array($diskData));

    // Start the instance with encrypted disk.
    $request2 = (new StartWithEncryptionKeyInstanceRequest())
        ->setInstance($instanceName)
        ->setInstancesStartWithEncryptionKeyRequestResource($instancesStartWithEncryptionKeyRequest)
        ->setProject($projectId)
        ->setZone($zone);
    $operation = $instancesClient->startWithEncryptionKey($request2);

    // Wait for the operation to complete.
    $operation->pollUntilComplete();
    if ($operation->operationSucceeded()) {
        printf('Instance %s started successfully' . PHP_EOL, $instanceName);
    } else {
        $error = $operation->getError();
        printf('Starting instance failed: %s' . PHP_EOL, $error?->getMessage());
    }
}

Python

from __future__ import annotations

import sys
from typing import Any

from google.api_core.extended_operation import ExtendedOperation
from google.cloud import compute_v1

def wait_for_extended_operation(
    operation: ExtendedOperation, verbose_name: str = "operation", timeout: int = 300
) -> Any:
    """
    Waits for the extended (long-running) operation to complete.

    If the operation is successful, it will return its result.
    If the operation ends with an error, an exception will be raised.
    If there were any warnings during the execution of the operation
    they will be printed to sys.stderr.

    Args:
        operation: a long-running operation you want to wait on.
        verbose_name: (optional) a more verbose name of the operation,
            used only during error and warning reporting.
        timeout: how long (in seconds) to wait for operation to finish.
            If None, wait indefinitely.

    Returns:
        Whatever the operation.result() returns.

    Raises:
        This method will raise the exception received from `operation.exception()`
        or RuntimeError if there is no exception set, but there is an `error_code`
        set for the `operation`.

        In case of an operation taking longer than `timeout` seconds to complete,
        a `concurrent.futures.TimeoutError` will be raised.
    """
    result = operation.result(timeout=timeout)

    if operation.error_code:
        print(
            f"Error during {verbose_name}: [Code: {operation.error_code}]: {operation.error_message}",
            file=sys.stderr,
            flush=True,
        )
        print(f"Operation ID: {operation.name}", file=sys.stderr, flush=True)
        raise operation.exception() or RuntimeError(operation.error_message)

    if operation.warnings:
        print(f"Warnings during {verbose_name}:\n", file=sys.stderr, flush=True)
        for warning in operation.warnings:
            print(f" - {warning.code}: {warning.message}", file=sys.stderr, flush=True)

    return result

def start_instance_with_encryption_key(
    project_id: str, zone: str, instance_name: str, key: bytes
) -> None:
    """
    Starts a stopped Google Compute Engine instance (with encrypted disks).
    Args:
        project_id: project ID or project number of the Cloud project your instance belongs to.
        zone: name of the zone your instance belongs to.
        instance_name: name of the instance your want to start.
        key: bytes object representing a raw base64 encoded key to your machines boot disk.
            For more information about disk encryption see:
            https://cloud.google.com/compute/docs/disks/customer-supplied-encryption#specifications
    """
    instance_client = compute_v1.InstancesClient()

    instance_data = instance_client.get(
        project=project_id, zone=zone, instance=instance_name
    )

    # Prepare the information about disk encryption
    disk_data = compute_v1.CustomerEncryptionKeyProtectedDisk()
    disk_data.source = instance_data.disks[0].source
    disk_data.disk_encryption_key = compute_v1.CustomerEncryptionKey()
    # Use raw_key to send over the key to unlock the disk
    # To use a key stored in KMS, you need to provide `kms_key_name` and `kms_key_service_account`
    disk_data.disk_encryption_key.raw_key = key
    enc_data = compute_v1.InstancesStartWithEncryptionKeyRequest()
    enc_data.disks = [disk_data]

    operation = instance_client.start_with_encryption_key(
        project=project_id,
        zone=zone,
        instance=instance_name,
        instances_start_with_encryption_key_request_resource=enc_data,
    )

    wait_for_extended_operation(operation, "instance start (with encrypted disk)")

REST

Para reiniciar uma VM que usa discos criptografados, faça uma solicitação POST para o método instances.startWithEncryptionKey.

POST https://compute.googleapis.com/compute/v1/projects/PROJECT_ID/zones/ZONE/instances/VM_NAME/startWithEncryptionKey

{
  "disks": [
    {
      "source": "DISK_URL",
      "diskEncryptionKey": {
        "ENCRYPTION_TYPE": "ENCRYPTION_KEY"
      }
    }
  ]
}

Substitua:

  • PROJECT_ID: o ID do projeto em que a VM está localizada.

  • ZONE: a zona em que a VM está localizada.

  • VM_NAME: o nome da VM.

  • DISK_URL: o URL do recurso correspondente ao nome completo do recurso do disco anexado, criptografado com uma chave de criptografia fornecida pelo cliente

  • ENCRYPTION_TYPE: o tipo de criptografia de disco que você está usando, que pode ser uma das seguintes opções: rawKey, kmsKeyName ou rsaEncryptedKey. Se você usar o tipo rsaEncryptedKey, faça uma solicitação POST para a API Beta, não para a API v1.

  • ENCRYPTION_KEY: a chave de criptografia usada para criptografar os discos permanentes anexados à VM. As chaves rawKey ou rsaEncryptedKey precisam ser codificadas em base64. Além disso, para preparar uma chave rsaEncryptedKey, consulte Encapsulamento de chaves por RSA.

Redefina uma VM

Redefinir uma VM em execução é semelhante a uma reinicialização forçada no computador, por exemplo, pressionar um botão de redefinição ou tocar e pressionar o botão liga/desliga. Ao redefinir uma VM, você não dá tempo a ela para executar um encerramento limpo do SO convidado. Consequentemente, os sistemas de arquivos do disco podem ser corrompidos. O Google Cloud recomenda redefinir uma VM somente se o SO convidado tiver falhado e você não tiver outras opções. Se você quiser reinicializar uma VM e executar um encerramento limpo, consulte Reiniciar uma VM neste documento.

Ao redefinir uma VM, acontece o seguinte:

  • A VM é reinicializada para o estado de inicialização inicial com os metadados, a imagem e os discos permanentes originais.

  • A VM força a exclusão permanente do conteúdo da memória, a menos que você faça backup dos dados.

  • O estado da VM permanece RUNNING durante o processo.

Redefinir uma VM não altera nenhuma das propriedades da VM. A VM mantém IPs temporários, IPs estáticos externos, discos permanentes, discos SSD locais (se houver) e tipo de máquina.

Console

Para redefinir uma ou mais VMs em execução, siga estas etapas:

  1. No console do Google Cloud, acesse a página Instâncias de VMs.

    Acessar instâncias de VM

  2. Selecione as VMs que você quer redefinir.

  3. Clique em Redefinir e, em seguida, clique em Redefinir novamente.

gcloud

Para redefinir uma VM em execução, use o comando gcloud compute instances reset.

gcloud compute instances reset VM_NAME \
    --project=PROJECT_ID \
    --zone=ZONE

Substitua:

  • VM_NAME: o nome da VM.

  • PROJECT_ID: o ID do projeto em que a VM está localizada.

  • ZONE: a zona em que a VM está localizada.

Go

import (
	"context"
	"fmt"
	"io"

	compute "cloud.google.com/go/compute/apiv1"
	computepb "google.golang.org/genproto/googleapis/cloud/compute/v1"
)

// resetInstance resets a running Google Compute Engine instance (with unencrypted disks).
func resetInstance(w io.Writer, projectID, zone, instanceName string) error {
	// projectID := "your_project_id"
	// zone := "europe-central2-b"
	// instanceName := "your_instance_name"

	ctx := context.Background()
	instancesClient, err := compute.NewInstancesRESTClient(ctx)
	if err != nil {
		return fmt.Errorf("NewInstancesRESTClient: %w", err)
	}
	defer instancesClient.Close()

	req := &computepb.ResetInstanceRequest{
		Project:  projectID,
		Zone:     zone,
		Instance: instanceName,
	}

	op, err := instancesClient.Reset(ctx, req)
	if err != nil {
		return fmt.Errorf("unable to reset instance: %w", err)
	}

	if err = op.Wait(ctx); err != nil {
		return fmt.Errorf("unable to wait for the operation: %w", err)
	}

	fmt.Fprintf(w, "Instance reset\n")

	return nil
}

Java


import com.google.api.gax.longrunning.OperationFuture;
import com.google.cloud.compute.v1.InstancesClient;
import com.google.cloud.compute.v1.Operation;
import com.google.cloud.compute.v1.Operation.Status;
import com.google.cloud.compute.v1.ResetInstanceRequest;
import java.io.IOException;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.TimeoutException;

public class ResetInstance {

  public static void main(String[] args)
      throws IOException, ExecutionException, InterruptedException, TimeoutException {
    // TODO(developer): Replace these variables before running the sample.
    /* project: project ID or project number of the Cloud project your instance belongs to.
       zone: name of the zone your instance belongs to.
       instanceName: name of the instance your want to reset.
     */
    String project = "your-project-id";
    String zone = "zone-name";
    String instanceName = "instance-name";

    resetInstance(project, zone, instanceName);
  }

  // Resets a running Google Compute Engine instance (with unencrypted disks).
  public static void resetInstance(String project, String zone, String instanceName)
      throws IOException, ExecutionException, InterruptedException, TimeoutException {
    /* Initialize client that will be used to send requests. This client only needs to be created
       once, and can be reused for multiple requests. After completing all of your requests, call
       the `instancesClient.close()` method on the client to safely
       clean up any remaining background resources. */
    try (InstancesClient instancesClient = InstancesClient.create()) {

      ResetInstanceRequest resetInstanceRequest = ResetInstanceRequest.newBuilder()
          .setProject(project)
          .setZone(zone)
          .setInstance(instanceName)
          .build();

      OperationFuture<Operation, Operation> operation = instancesClient.resetAsync(
          resetInstanceRequest);
      Operation response = operation.get(3, TimeUnit.MINUTES);

      if (response.getStatus() == Status.DONE) {
        System.out.println("Instance reset successfully ! ");
      }
    }
  }

}

Node.js

/**
 * TODO(developer): Uncomment and replace these variables before running the sample.
 */
// const projectId = 'YOUR_PROJECT_ID';
// const zone = 'europe-central2-b'
// const instanceName = 'YOUR_INSTANCE_NAME'

const compute = require('@google-cloud/compute');

async function resetInstance() {
  const instancesClient = new compute.InstancesClient();

  const [response] = await instancesClient.reset({
    project: projectId,
    zone,
    instance: instanceName,
  });
  let operation = response.latestResponse;
  const operationsClient = new compute.ZoneOperationsClient();

  // Wait for the operation to complete.
  while (operation.status !== 'DONE') {
    [operation] = await operationsClient.wait({
      operation: operation.name,
      project: projectId,
      zone: operation.zone.split('/').pop(),
    });
  }

  console.log('Instance reset.');
}

resetInstance();

PHP

use Google\Cloud\Compute\V1\Client\InstancesClient;
use Google\Cloud\Compute\V1\ResetInstanceRequest;

/**
 * Reset a running Google Compute Engine instance (with unencrypted disks).
 *
 * @param string $projectId Project ID or project number of the Cloud project your instance belongs to.
 * @param string $zone Name of the zone your instance belongs to.
 * @param string $instanceName Name of the instance you want to reset.
  *
 * @throws \Google\ApiCore\ApiException if the remote call fails.
 * @throws \Google\ApiCore\ValidationException if local error occurs before remote call.
 */
function reset_instance(
    string $projectId,
    string $zone,
    string $instanceName
) {
    // Stop the Compute Engine instance using InstancesClient.
    $instancesClient = new InstancesClient();
    $request = (new ResetInstanceRequest())
        ->setInstance($instanceName)
        ->setProject($projectId)
        ->setZone($zone);
    $operation = $instancesClient->reset($request);

    // Wait for the operation to complete.
    $operation->pollUntilComplete();
    if ($operation->operationSucceeded()) {
        printf('Instance %s reset successfully' . PHP_EOL, $instanceName);
    } else {
        $error = $operation->getError();
        printf('Failed to reset instance: %s' . PHP_EOL, $error?->getMessage());
    }
}

Python

from __future__ import annotations

import sys
from typing import Any

from google.api_core.extended_operation import ExtendedOperation
from google.cloud import compute_v1

def wait_for_extended_operation(
    operation: ExtendedOperation, verbose_name: str = "operation", timeout: int = 300
) -> Any:
    """
    Waits for the extended (long-running) operation to complete.

    If the operation is successful, it will return its result.
    If the operation ends with an error, an exception will be raised.
    If there were any warnings during the execution of the operation
    they will be printed to sys.stderr.

    Args:
        operation: a long-running operation you want to wait on.
        verbose_name: (optional) a more verbose name of the operation,
            used only during error and warning reporting.
        timeout: how long (in seconds) to wait for operation to finish.
            If None, wait indefinitely.

    Returns:
        Whatever the operation.result() returns.

    Raises:
        This method will raise the exception received from `operation.exception()`
        or RuntimeError if there is no exception set, but there is an `error_code`
        set for the `operation`.

        In case of an operation taking longer than `timeout` seconds to complete,
        a `concurrent.futures.TimeoutError` will be raised.
    """
    result = operation.result(timeout=timeout)

    if operation.error_code:
        print(
            f"Error during {verbose_name}: [Code: {operation.error_code}]: {operation.error_message}",
            file=sys.stderr,
            flush=True,
        )
        print(f"Operation ID: {operation.name}", file=sys.stderr, flush=True)
        raise operation.exception() or RuntimeError(operation.error_message)

    if operation.warnings:
        print(f"Warnings during {verbose_name}:\n", file=sys.stderr, flush=True)
        for warning in operation.warnings:
            print(f" - {warning.code}: {warning.message}", file=sys.stderr, flush=True)

    return result

def reset_instance(project_id: str, zone: str, instance_name: str) -> None:
    """
    Resets a stopped Google Compute Engine instance (with unencrypted disks).
    Args:
        project_id: project ID or project number of the Cloud project your instance belongs to.
        zone: name of the zone your instance belongs to.
        instance_name: name of the instance your want to reset.
    """
    instance_client = compute_v1.InstancesClient()

    operation = instance_client.reset(
        project=project_id, zone=zone, instance=instance_name
    )

    wait_for_extended_operation(operation, "instance reset")

REST

Para redefinir uma VM em execução, faça uma solicitação POST para o método instances.reset.

 POST https://www.googleapis.com/compute/v1/projects/PROJECT_ID/zones/ZONE/instances/VM_NAME/reset

Substitua:

  • VM_NAME: o nome da VM.

  • PROJECT_ID: o ID do projeto em que a VM está localizada.

  • ZONE: a zona em que a VM está localizada.

Reinicializar uma VM

Quando você reinicializa uma VM no SO convidado, acontece o seguinte:

  • A VM é reinicializada para o estado de inicialização inicial com os metadados, a imagem e os discos permanentes originais.

  • A VM exclui permanentemente o conteúdo da memória da máquina, a menos que você faça backup dos dados.

  • O estado da VM permanece RUNNING durante o processo.

Em comparação com a redefinição de uma VM, reinicializar uma VM no SO convidado aguarda que a VM conclua todas as tarefas em execução antes de enviar o sinal de encerramento da ACPI para a VM. Isso permite que a VM execute um encerramento limpo.

Reiniciar uma VM não altera nenhuma das propriedades da VM. A VM mantém IPs temporários, IPs estáticos externos, discos permanentes, discos SSD locais (se houver) e tipo de máquina.

Linux

Para redefinir uma VM do Linux, reinicialize o SO convidado executando o seguinte comando:

sudo reboot

Windows

Para redefinir uma VM do Windows, reinicialize o SO convidado executando o seguinte comando:

shutdown /r /t 0

Se quiser monitorar o processo de encerramento e reinicialização da VM, ative o menu do Gerenciador de Inicialização do Windows.

Faturamento

Depois que uma VM é interrompida e o Compute Engine define o estado dela como TERMINATED, não há mais cobranças pelo uso da CPU. No entanto, você continua sendo cobrado por todos os recursos anexados à VM, como discos permanentes e endereços IP externos.

Para interromper as cobranças pelos recursos anexados a uma VM, siga um seguinte:

  • Remova esses recursos da VM interrompida.

  • Exclua a VM. Essa ação também exclui todos os recursos anexados à VM.

A seguir