* 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.
   */

	if source.noWait {
		select {
		case globalBackgroundHealRoutine.tasks <- task:
			if serverDebugLog {
				fmt.Printf("Task in the queue: %#v\n", task)
			}
		default:
			// task queue is full, no more workers, we shall move on and heal later.
			return nil
		}
		// Don't wait for result
		return nil
	}

	// respCh must be set to wait for result.
	// We make it size 1, so a result can always be written

- Fixed a data race in kubelet image manager that can cause static pod workers to silently stop working. ([#88915](https://github.com/kubernetes/kubernetes/pull/88915), [@roycaihw](https://github.com/roycaihw)) [SIG Node]

/// check | **FastAPI** lo recomienda como

El servidor web principal para ejecutar aplicaciones **FastAPI**.

También puedes usar la opción de línea de comandos `--workers` para tener un servidor multiproceso asíncrono.

Revisa más detalles en la sección [Despliegue](deployment/index.md){.internal-link target=_blank}.

///

## Benchmarks y velocidad

*   Fixed iptables FORWARD policy for Docker 1.13 in kubernetes-worker charm ([#54796](https://github.com/kubernetes/kubernetes/pull/54796),[ @Cynerva](https://github.com/Cynerva))

It is the recommended server for Starlette and **FastAPI**.

/// check | **FastAPI** recommends it as

The main web server to run **FastAPI** applications.

You can also use the `--workers` command line option to have an asynchronous multi-process server.

Check more details in the [Deployment](deployment/index.md){.internal-link target=_blank} section.

///

      <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

Я подготовил для вас Docker-образ, в который включён Gunicorn управляющий процессами (воркерами) Uvicorn, в соответствии с концепциями рассмотренными в предыдущей главе: [Рабочие процессы сервера (воркеры) - Gunicorn совместно с Uvicorn](server-workers.md){.internal-link target=_blank}.

Этот образ может быть полезен для ситуаций описанных тут: [Множество процессов внутри контейнера для особых случаев](#_11).

- Fixed a data race in kubelet image manager that can cause static pod workers to silently stop working. ([#88915](https://github.com/kubernetes/kubernetes/pull/88915), [@roycaihw](https://github.com/roycaihw)) [SIG Node]

	xioutil "github.com/minio/minio/internal/ioutil"
	"github.com/minio/minio/internal/logger"
	"github.com/minio/pkg/v3/sync/errgroup"
	"github.com/minio/pkg/v3/wildcard"
	"github.com/minio/pkg/v3/workers"
	"github.com/puzpuzpuz/xsync/v3"
)

type erasureServerPools struct {
	poolMetaMutex sync.RWMutex
	poolMeta      poolMeta

	rebalMu   sync.RWMutex
	rebalMeta *rebalanceMeta

	deploymentID     [16]byte