* Ouvrez maintenant le fichier de configuration de MkDocs pour l'anglais à

```
docs/en/docs/mkdocs.yml
```

* Trouvez l'endroit où cette `docs/features.md` se trouve dans le fichier de configuration. Quelque part comme :

```YAML hl_lines="8"
site_name: FastAPI
# More stuff
nav:
- FastAPI: index.md
- Languages:
  - en: /
  - es: /es/
- features.md
```

In this scenario, each one of the cleaners (including you) would be a processor, doing their part of the job.

And as most of the execution time is taken by actual work (instead of waiting), and the work in a computer is done by a <abbr title="Central Processing Unit">CPU</abbr>, they call these problems "CPU bound".

---

```Python hl_lines="14-19"
{!../../../docs_src/events/tutorial003.py!}
```

The first part of the function, before the `yield`, will be executed **before** the application starts.

And the part after the `yield` will be executed **after** the application has finished.

### Async Context Manager

If you check, the function is decorated with an `@asynccontextmanager`.

There are several ways to do it depending on your specific use case and the tools that you use.

You could **deploy a server** yourself using a combination of tools, you could use a **cloud service** that does part of the work for you, or other possible options.

I will show you some of the main concepts you should probably keep in mind when deploying a **FastAPI** application (although most of it applies to any other type of web application).

{!../../../docs_src/templates/tutorial001.py!}
```

!!! note
    Before FastAPI 0.108.0, Starlette 0.29.0, the `name` was the first parameter.

    Also, before that, in previous versions, the `request` object was passed as part of the key-value pairs in the context for Jinja2.

!!! tip
    By declaring `response_class=HTMLResponse` the docs UI will be able to know that the response will be HTML.

!!! note "Technical Details"

# Deployment-Konzepte

Bei dem Deployment – der Bereitstellung – einer **FastAPI**-Anwendung, oder eigentlich jeder Art von Web-API, gibt es mehrere Konzepte, die Sie wahrscheinlich interessieren, und mithilfe der Sie die **am besten geeignete** Methode zur **Bereitstellung Ihrer Anwendung** finden können.

Einige wichtige Konzepte sind:

* Sicherheit – HTTPS
* Beim Hochfahren ausführen
* Neustarts
* Replikation (die Anzahl der laufenden Prozesse)

And the ORM will do all the work to get the information from the corresponding table *owners* when you try to access it from your pet object.

Common ORMs are for example: Django-ORM (part of the Django framework), SQLAlchemy ORM (part of SQLAlchemy, independent of framework) and Peewee (independent of framework), among others.

Here we will see how to work with **SQLAlchemy ORM**.

In a similar way you could use any other ORM.

That way, it behaves almost as if it was just a global variable. But as it uses a dependency function, then we can override it easily for testing.

`@lru_cache` is part of `functools` which is part of Python's standard library, you can read more about it in the <a href="https://docs.python.org/3/library/functools.html#functools.lru_cache" class="external-link" target="_blank">Python docs for `@lru_cache`</a>.

```Python hl_lines="18  22"
{!../../../docs_src/additional_responses/tutorial001.py!}
```

!!! note
    Keep in mind that you have to return the `JSONResponse` directly.

!!! info
    The `model` key is not part of OpenAPI.

    **FastAPI** will take the Pydantic model from there, generate the `JSON Schema`, and put it in the correct place.

    The correct place is:

if not (credentials.username == "stanleyjobson") or not (credentials.password == "swordfish"):
    # Einen Error zurückgeben
    ...
```

Aber durch die Verwendung von `secrets.compare_digest()` ist dieser Code sicher vor einer Art von Angriffen, die „Timing-Angriffe“ genannt werden.

### Timing-Angriffe

Aber was ist ein „Timing-Angriff“?

Stellen wir uns vor, dass einige Angreifer versuchen, den Benutzernamen und das Passwort zu erraten.