## Étapes préalables au démarrage et conteneurs { #previous-steps-before-starting-and-containers }

Si vous utilisez des conteneurs (par ex. Docker, Kubernetes), alors il existe deux approches principales que vous pouvez utiliser.

### Plusieurs conteneurs { #multiple-containers }

	defer xioutil.SafeClose(doneCh)

	// Save rebalance.bin periodically.
	go func() {
		// Update rebalance.bin periodically once every 5-10s, chosen randomly
		// to avoid multiple pool leaders herding to update around the same
		// time.
		r := rand.New(rand.NewSource(time.Now().UnixNano()))
		randSleepFor := func() time.Duration {
			return 5*time.Second + time.Duration(float64(5*time.Second)*r.Float64())
		}

- Reduce API server memory when many CRDs are loaded by sharing a single etcd3 client logger across all clients ([#111650](https://github.com/kubernetes/kubernetes/pull/111650), [@negz](https://github.com/negz)) [SIG API Machinery]

You pay 💸.

<img src="/img/async/parallel-burgers/parallel-burgers-02.png" class="illustration">

The cashier goes to the kitchen.

You wait, standing in front of the counter 🕙, so that no one else takes your burgers before you do, as there are no numbers for turns.

<img src="/img/async/parallel-burgers/parallel-burgers-03.png" class="illustration">

    public static final String FESS_SEARCH_ENGINE_HTTP_ADDRESS = "fess.search_engine.http_address";

    /** Default number of results per page. */
    public static final int DEFAULT_PAGE_SIZE = 20;

    /** Default starting count for pagination. */
    public static final int DEFAULT_START_COUNT = 0;

    // ============================================================
    // Process Type Constants

**Container başına birden fazla process** çalıştırırsanız, başlatılan process sayısının mevcut olandan **fazla memory tüketmediğinden** emin olmanız gerekir.

## Başlatmadan Önceki Adımlar ve Container'lar { #previous-steps-before-starting-and-containers }

Container kullanıyorsanız (örn. Docker, Kubernetes), temelde iki yaklaşım vardır.

### Birden Fazla Container { #multiple-containers }

     * @param clazz The class of the objects to retrieve.
     * @param sessionId The session ID to filter by (optional).
     * @param queryBuilder The query builder for search criteria (optional).
     * @param from The starting index for pagination (optional).
     * @param size The maximum number of results to return (optional).
     * @param sortBuilders The sort builders for ordering results (optional).
     * @return The list of retrieved objects.

            // XML schema and this will not change anytime soon. We do not want to build effective models based on
            // models without a version starting with 3.4.
            validateStringNotEmpty("modelVersion", problems, Severity.ERROR, Version.V20, m.getModelVersion(), m);

            validateModelVersion(problems, m.getModelVersion(), m, "4.0.0");

如果你的应用很**简单**，这可能**不成问题**，你也许不需要设置严格的内存上限。但如果你**使用大量内存**（例如使用**机器学习**模型），你应该检查自己的内存消耗，并调整**每台机器**上运行的**容器数量**（也许还需要为集群增加机器）。

如果你**每个容器运行多个进程**，你需要确保启动的进程数量不会**消耗超过可用的内存**。

## 启动前的前置步骤与容器 { #previous-steps-before-starting-and-containers }

如果你在使用容器（如 Docker、Kubernetes），你可以采用两种主要方式。

### 多个容器 { #multiple-containers }

    write_action_env_to_bazelrc('HIP_PLATFORM', environ_cp.get('HIP_PLATFORM'))

  if is_windows():
    print('\nWARNING: Cannot build with CUDA support on Windows.\n'
          'Starting in TF 2.11, CUDA build is not supported for Windows. '
          'For using TensorFlow GPU on Windows, you will need to build/install '
          'TensorFlow in WSL2.\n')
    environ_cp['TF_NEED_CUDA'] = '0'
  else: