process** (e.g. a Uvicorn process running your FastAPI application). They would all be **identical containers**, running the same thing, but each with its own process, memory, etc. That way you would take advantage of **parallelization** in **different cores** of the CPU, or even in **different machines**.

And the distributed container system with the **load balancer** would **distribute the requests** to each one of the containers with your app **in turns**. So, each request could be handled...

      val callReference = reference as CallReference
      val message =
        "A connection to ${connection.route().address.url} was leaked. " +
          "Did you forget to close a response body?"
      Platform.get().logCloseableLeak(message, callReference.callStackTrace)

      references.removeAt(i)

```

Dieses Programm gibt aus:

```
John Doe
```

Die Funktion macht Folgendes:

* Nimmt einen `first_name` und `last_name`.
* Schreibt den ersten Buchstaben eines jeden Wortes groß, mithilfe von `title()`.
* <abbr title="Füge zu einer Einheit zusammen, eins nach dem anderen.">Verkettet</abbr> sie mit einem Leerzeichen in der Mitte.

```Python hl_lines="2"

think the issue should get addressed.

- **Priority**. Each issue has a priority which is represented by the column in the [Prioritization](https://github.com/orgs/istio/projects/6) project. Priority can be one of
P0, P1, P2, or >P2. The priority indicates how important it is to address the issue within the milestone. P0 says that the

Und Abhängigkeiten können auf sehr einfache und intuitive Weise erstellt werden, sodass Sie einfach die benötigten Python-Packages importieren und sie in wenigen Codezeilen, *im wahrsten Sinne des Wortes*, mit Ihren API-Funktionen integrieren.

Beispiele hierfür finden Sie in den nächsten Kapiteln zu relationalen und NoSQL-Datenbanken, Sicherheit usw.

## **FastAPI**-Kompatibilität

    var finished: Boolean = false,
  ) : Sink {
    /**
     * Buffer of outgoing data. This batches writes of small writes into this sink as larges frames
     * written to the outgoing connection. Batching saves the (small) framing overhead.
     */
    private val sendBuffer = Buffer()

    /** Trailers to send at the end of the stream. */

    $ ./bin/fess

Pour plus de détails, consultez le [guide d'installation](https://fess.codelibs.org/14.6/install/index.html).

### Docker

Nous fournissions des images docker sur [ghcr.io](https://github.com/orgs/codelibs/packages).
Nous proposons aussi un fichier Docker Compose (YAML) dans [ce repository](https://github.com/codelibs/docker-fess/tree/master/compose).

### Interfaces Web

Mientras esperas y hablas con esa persona 😍, de vez en cuando, verificas el número del mostrador para ver si ya es tu turno.

Al final, en algún momento, llega tu turno. Vas al mostrador, coges tus hamburguesas 🍔 y vuelves a la mesa.

<img src="https://fastapi.tiangolo.com/img/async/concurrent-burgers/concurrent-burgers-06.png" alt="illustration">

* Allez dans le répertoire de votre projet.
* Créez un `Dockerfile` avec :

```Dockerfile
FROM tiangolo/uvicorn-gunicorn-fastapi:python3.7

COPY ./app /app
```

### Applications plus larges

Si vous avez suivi la section sur la création d' [Applications avec plusieurs fichiers](../tutorial/bigger-applications.md){.internal-link target=_blank}, votre `Dockerfile` pourrait ressembler à ceci :

```Dockerfile

### Multiple Processes - Workers

If you have more clients than what a single process can handle (for example if the virtual machine is not too big) and you have **multiple cores** in the server's CPU, then you could have **multiple processes** running with the same application at the same time, and distribute all the requests among them.