Embedding a Java runtime in the distribution would provide some benefits, such as allowing the Launcher, Daemon and Workers to run on it, removing the prerequisite of an installed Java runtime.
However, this does not fully remove the prerequisite, as the Wrapper itself would still need an installed Java runtime to execute.

COPY ./app /code/app

# (1)!
CMD ["fastapi", "run", "app/main.py", "--port", "80", "--workers", "4"]
```

1. Hier verwenden wir die `--workers` Befehlszeilenoption, um die Anzahl der Worker auf 4 festzulegen.

Hier sind einige Beispiele, wann das sinnvoll sein könnte:

#### Eine einfache Anwendung { #a-simple-app }

                "%windows.java25.openjdk.64bit%",
            )
        val expectedInstallationPaths = (if (os == Os.WINDOWS) windowsPaths else linuxPaths).joinToString(",")
        return listOf(
            "-Dorg.gradle.workers.max=%maxParallelForks%",
            "-PmaxParallelForks=%maxParallelForks% $PLUGINS_PORTAL_URL_OVERRIDE -Dscan.value.tcPipeline=master -s",
            "%additional.gradle.parameters%",

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package gradlebuild.incubation.action

import org.gradle.api.logging.Logger
import org.gradle.workers.WorkAction
import org.slf4j.LoggerFactory


abstract class IncubatingApiReportAggregationWorkAction : WorkAction<IncubatingApiReportAggregationParameter> {

    companion object {

## 复制 - 进程和内存

对于 FastAPI 应用程序，使用像 Uvicorn 这样的服务器程序，在**一个进程**中运行一次就可以同时为多个客户端提供服务。

但在许多情况下，您会希望同时运行多个工作进程。

### 多进程 - Workers

如果您的客户端数量多于单个进程可以处理的数量（例如，如果虚拟机不是太大），并且服务器的 CPU 中有 **多个核心**，那么您可以让 **多个进程** 运行 同时处理同一个应用程序，并在它们之间分发所有请求。

当您运行同一 API 程序的**多个进程**时，它们通常称为 **workers**。

### 工作进程和端口

还记得文档 [About HTTPS](https.md){.internal-link target=_blank} 中只有一个进程可以侦听服务器中的端口和 IP 地址的一种组合吗？

现在仍然是对的。

    listOf(
        // We pass the 'maxParallelForks' setting as 'workers.max' to limit the maximum number of executers even
        // if multiple test tasks run in parallel. We also pass it to the Gradle build as a maximum (maxParallelForks)
        // for each test task, such that we are independent of whatever default value is defined in the build itself.
        "-Dorg.gradle.workers.max=$maxParallelForks",
        "-PmaxParallelForks=$maxParallelForks",

	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

func (m *rateMeasurement) getExpMovingAvgBytesPerSecond() float64 {
	m.lock.Lock()
	defer m.lock.Unlock()
	return m.expMovingAvg
}

// ActiveWorkerStat is stat for active replication workers
type ActiveWorkerStat struct {
	Curr int     `json:"curr"`
	Avg  float32 `json:"avg"`
	Max  int     `json:"max"`
	hist metrics.Histogram
}

func newActiveWorkerStat(r metrics.Registry) *ActiveWorkerStat {

	"github.com/minio/minio-go/v7/pkg/tags"
	"github.com/minio/minio/internal/crypto"
	xhttp "github.com/minio/minio/internal/http"
	"github.com/minio/minio/internal/kms"
	"github.com/minio/pkg/v3/env"
	"github.com/minio/pkg/v3/workers"
)

// keyrotate:
//   apiVersion: v1
//   bucket: BUCKET
//   prefix: PREFIX
//   encryption:
//     type: sse-s3 # valid values are sse-s3 and sse-kms
//     key: <new-kms-key> # valid only for sse-kms

  "durations" : [ {
    "testProject" : "nativeMonolithic",
    "linux" : 1215
  }, {
    "testProject" : "nativeMonolithicOverlapping",
    "linux" : 1324
  } ]
}, {
  "scenario" : "org.gradle.performance.regression.nativeplatform.RealWorldNativePluginPerformanceTest.build with 12 parallel workers",
  "durations" : [ {
    "testProject" : "nativeMonolithic",