* **PGAdmin** для СУБД PostgreSQL, которые легко можно заменить на PHPMyAdmin и MySQL.
* **Flower** для отслеживания работы Celery.
* Балансировка нагрузки между фронтендом и бэкендом с помощью **Traefik**, а значит, Вы можете расположить их на одном домене, разделив url-пути, так как они обслуживаются разными контейнерами.

            unauthorized_headers = {"WWW-Authenticate": f'Basic realm="{self.realm}"'}
        else:
            unauthorized_headers = {"WWW-Authenticate": "Basic"}
        if not authorization or scheme.lower() != "basic":
            if self.auto_error:
                raise HTTPException(
                    status_code=HTTP_401_UNAUTHORIZED,
                    detail="Not authenticated",

        authorization = request.headers.get("Authorization")
        scheme, param = get_authorization_scheme_param(authorization)
        if not authorization or scheme.lower() != "bearer":
            if self.auto_error:
                raise HTTPException(
                    status_code=HTTP_401_UNAUTHORIZED,
                    detail="Not authenticated",

Routes are declared in a single place, using functions declared in other places (instead of using decorators that can be placed right on top of the function that handles the endpoint). This is closer to how Django does it than to how Flask (and Starlette) does it. It separates in the code things that are relatively tightly coupled.

!!! check "Inspired **FastAPI** to"

In this case, it would be better to get **one extra server** and run some processes on it so that they all have **enough RAM and CPU time**.

There you could buy me a coffee ☕️ to say thanks. 😄

And you can also become a Silver or Gold sponsor for FastAPI. 🏅🎉

## Sponsor the tools that power FastAPI

As you have seen in the documentation, FastAPI stands on the shoulders of giants, Starlette and Pydantic.

You can also sponsor:

And as you can have parallelism and asynchronicity at the same time, you get higher performance than most of the tested NodeJS frameworks and on par with Go, which is a compiled language closer to C <a href="https://www.techempower.com/benchmarks/#section=data-r17&hw=ph&test=query&l=zijmkf-1" class="external-link" target="_blank">(all thanks to Starlette)</a>.

### Is concurrency better than parallelism?

def get_lang_paths() -> List[Path]:
    return sorted(docs_path.iterdir())


def lang_callback(lang: Optional[str]) -> Union[str, None]:
    if lang is None:
        return None
    lang = lang.lower()
    return lang


def complete_existing_lang(incomplete: str):
    lang_path: Path
    for lang_path in get_lang_paths():
        if lang_path.is_dir() and lang_path.name.startswith(incomplete):

                        }
                    )
            if route.openapi_extra:
                deep_dict_update(operation, route.openapi_extra)
            path[method.lower()] = operation
    return path, security_schemes, definitions


def get_fields_from_routes(
    routes: Sequence[BaseRoute],
) -> List[ModelField]:
    body_fields_from_routes: List[ModelField] = []

## Recap

You can use Pydantic Settings to handle the settings or configurations for your application, with all the power of Pydantic models.

* By using a dependency you can simplify testing.
* You can use `.env` files with it.