* for cross-language compatibility. For other use cases, prefer {@link #putUnencodedChars}, which
   * is faster, produces the same output across Java releases, and processes every {@code char} in
   * the input, even if some are invalid.
   */
  @CanIgnoreReturnValue
  PrimitiveSink putString(CharSequence charSequence, Charset charset);

**Only one process** in the server can be listening on a specific **port** in a specific **IP address**. There could be other processes listening on other ports in the same IP address, but only one for each combination of IP address and port.

TLS (HTTPS) uses the specific port `443` by default. So that's the port we would need.

    // PUT /api/admin/elevateword/upload
    /**
     * Uploads and imports elevate words from a CSV file.
     * Processes the file asynchronously and updates the suggest helper.
     *
     * @param body upload form containing the CSV file
     * @return JSON response with upload status
     */
    @Execute
    public JsonResponse<ApiResult> put$upload(final UploadForm body) {
        validateApi(body, messages -> {});

import org.lastaflute.web.response.HtmlResponse;
import org.lastaflute.web.response.StreamResponse;

import jakarta.annotation.Resource;

/**
 * Action class for handling document redirection requests.
 * This action processes "go" requests that redirect users to specific documents
 * while tracking click events and handling various URL types including file system paths.
 */
public class GoAction extends FessSearchAction {

    /**

0.0`) sur un port prédéfini (par example, `80`).

C'est l'idée de base. Mais vous vous préoccuperez probablement de certains concepts supplémentaires, tels que ... :

* la sécurité - HTTPS
* l'exécution au démarrage
* les redémarrages
* la réplication (le nombre de processus en cours d'exécution)
* la mémoire

### Contenedores con Múltiples Procesos y Casos Especiales

Por supuesto, hay **casos especiales** donde podrías querer tener **un contenedor** con varios **worker processes de Uvicorn** dentro.

En esos casos, puedes usar la opción de línea de comandos `--workers` para establecer el número de workers que deseas ejecutar:

```{ .dockerfile .annotate }
FROM python:3.9

   */
  @Deprecated
  @InlineMe(
      replacement = "Files.asByteSource(file).read(processor)",
      imports = "com.google.common.io.Files")
  @CanIgnoreReturnValue // some processors won't return a useful result
  @ParametricNullness
  public
  static <T extends @Nullable Object> T readBytes(File file, ByteProcessor<T> processor)
      throws IOException {
    return asByteSource(file).read(processor);
  }

        } catch (final Exception e) {
            throw new PluginException("Failed to access " + url, e);
        }
    }

    /**
     * Processes a Maven-style repository to extract artifacts of the specified type.
     *
     * @param artifactType the type of artifacts to process
     * @param url the URL of the repository
     * @return a list of artifacts found in the repository
     */

   */
  @Deprecated
  @InlineMe(
      replacement = "Files.asByteSource(file).read(processor)",
      imports = "com.google.common.io.Files")
  @CanIgnoreReturnValue // some processors won't return a useful result
  @ParametricNullness
  public
  static <T extends @Nullable Object> T readBytes(File file, ByteProcessor<T> processor)
      throws IOException {
    return asByteSource(file).read(processor);
  }

- Added `singleProcessOOMKill` flag to the kubelet configuration. Setting that to true enable single process OOM killing in cgroups v2. In this mode, if a single process is OOM killed within a container, the remaining processes will not be OOM killed. ([#126096](https://github.com/kubernetes/kubernetes/pull/126096), [@utam0k](https://github.com/utam0k)) [SIG API Machinery, Node, Testing and Windows]