因此，在这种情况下，你**不会**希望拥有像 Gunicorn 和 Uvicorn worker一样的进程管理器，或者 Uvicorn 使用自己的 Uvicorn worker。 你可能希望每个容器（但可能有多个容器）只有一个**单独的 Uvicorn 进程**。

在容器内拥有另一个进程管理器（就像使用 Gunicorn 或 Uvicorn 管理 Uvicorn 工作线程一样）只会增加**不必要的复杂性**，而你很可能已经在集群系统中处理这些复杂性了。

### 具有多个进程的容器

当然，在某些**特殊情况**，你可能希望拥有 **一个容器**，其中包含 **Gunicorn 进程管理器**，并在其中启动多个 **Uvicorn worker进程**。

		Help:      "Total number of active replication workers",
		Type:      gaugeMetric,
	}
}

func getClusterReplAvgActiveWorkersCountMD() MetricDescription {
	return MetricDescription{
		Namespace: nodeMetricNamespace,
		Subsystem: replicationSubsystem,
		Name:      avgActiveWorkers,
		Help:      "Average number of active replication workers",
		Type:      gaugeMetric,
	}
}

Это рекомендуемый сервер для Starlette и **FastAPI**.

/// check | **FastAPI** рекомендует его как

Основной веб-сервер для запуска приложений **FastAPI**.

Также вы можете использовать опцию командной строки `--workers`, чтобы получить асинхронный многопроцессный сервер.

Подробнее см. раздел [Развёртывание](deployment/index.md){.internal-link target=_blank}.

///

## Бенчмарки и скорость { #benchmarks-and-speed }

	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

Es ist der empfohlene Server für Starlette und **FastAPI**.

/// check | **FastAPI** empfiehlt es als

Hauptwebserver zum Ausführen von **FastAPI**-Anwendungen.

Sie können auch die Kommandozeilenoption `--workers` verwenden, um einen asynchronen Multiprozess-Server zu erhalten.

Weitere Details finden Sie im Abschnitt [Deployment](deployment/index.md){.internal-link target=_blank}.

///

        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

It is a plug-in for many frameworks (and there's a plug-in for Starlette too).

The way it works is that you write the definition of the schema using YAML format inside the docstring of each function handling a route.

And it generates OpenAPI schemas.

That's how it works in Flask, Starlette, Responder, etc.

/// 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 { #benchmarks-and-speed }

Ele é o servidor recomendado para Starlette e **FastAPI**.

/// check | **FastAPI** o recomenda como

O principal servidor web para rodar aplicações **FastAPI**.

Você também pode usar a opção de linha de comando `--workers` para ter um servidor assíncrono multi-processos.

Verifique mais detalhes na seção [Deployment](deployment/index.md){.internal-link target=_blank}.

///

## Benchmarks e velocidade { #benchmarks-and-speed }

	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