// Create thread pools
        this.channelExecutor = Executors.newCachedThreadPool(r -> {
            Thread t = new Thread(r, "SMB3-MultiChannel-Worker");
            t.setDaemon(true);
            return t;
        });

        this.healthCheckExecutor = Executors.newScheduledThreadPool(2, r -> {

	if err != nil {
		decomLogIf(ctx, fmt.Errorf("invalid workers value err: %v, defaulting to %d", err, len(pool.sets)))
		workerSize = len(pool.sets)
	}

	// Each decom worker needs one List() goroutine/worker
	// add that many extra workers.
	workerSize += len(pool.sets)

	wk, err := workers.New(workerSize)
	if err != nil {
		return err
	}

	var vc *versioning.Versioning

	workerSize, err := strconv.Atoi(env.Get("_MINIO_BATCH_EXPIRATION_WORKERS", strconv.Itoa(runtime.GOMAXPROCS(0)/2)))
	if err != nil {
		return err
	}

	wk, err := workers.New(workerSize)
	if err != nil {
		// invalid worker size.
		return err
	}

	ctx, cancelCause := context.WithCancelCause(ctx)
	defer cancelCause(nil)

	results := make(chan itemOrErr[ObjectInfo], workerSize)
	go func() {

/// tip

これらの**コンテナ**やDockerそしてKubernetesに関する項目が、まだあまり意味をなしていなくても心配しないでください。
<!-- NOTE: the current version of docker.md is outdated compared to English one. -->

コンテナ・イメージ、Docker、Kubernetesなどについては、次の章で詳しく説明します: [コンテナ内のFastAPI - Docker](docker.md){.internal-link target=_blank}.

///

## 開始前の事前のステップ

   * cache size. The application needs to be aware of calling this function during the
   * initialization phase and preferably in a background worker thread.
   *
   * Note that if the application chooses to not call this method to initialize the cache. By
   * default, OkHttp will perform lazy initialization upon the first usage of the cache.
   */

    - kubeadm: implemented CRI detection for Windows worker nodes ([#78053](https://github.com/kubernetes/kubernetes/pull/78053), [@ksubrmnn](https://github.com/ksubrmnn))

        decides which workers to read from. If `"ANY"`, TF workers read from any
        tf.data service workers. If `"LOCAL"`, TF workers will only read from
        local in-processs tf.data service workers. `"AUTO"` works well for most
        cases, while users can specify other targets. For example, `"LOCAL"`
        would help avoid RPCs and data copy if every TF worker colocates with a

      <version>1.3.0</version>
    </dependency>
    ```

 *  **Fix: improve parallelism of async requests.** OkHttp's Dispatcher had a
    misconfigured `ExecutorService` that limited the number of worker threads.
    If you're using `Call.enqueue()` this update should significantly improve
    request concurrency.

 *  **Fix: Lazily initialize the response cache.** This avoids strict mode

## コンテナ・イメージ

Dockerは、**コンテナ・イメージ**と**コンテナ**を作成・管理するための主要なツールの1つです。

そして、DockerにはDockerイメージ（コンテナ）を共有する<a href="https://hub.docker.com/" class="external-link" target="_blank">Docker Hub</a>というものがあります。

Docker Hubは 多くのツールや環境、データベース、アプリケーションに対応している予め作成された**公式のコンテナ・イメージ**をパブリックに提供しています。

例えば、公式イメージの1つに<a href="https://hub.docker.com/_/python" class="external-link" target="_blank">Python Image</a>があります。

build:rbe_base --jobs=800
build:rbe_base --remote_executor=grpcs://remotebuildexecution.googleapis.com
build:rbe_base --remote_timeout=3600
build:rbe_base --spawn_strategy=remote,worker,standalone,local
# Attempt to minimize the amount of data transfer between bazel and the remote
# workers:
build:rbe_base --remote_download_toplevel
test:rbe_base --test_env=USER=anon

# TODO(kanglan): Check if we want to merge rbe_linux into rbe_linux_cpu.