Then, for the request in the next tab, your app will wait for one second less, and so on.

This means that it will end up finishing some of the last tabs' requests earlier than some of the previous ones.

```bash
pip install fastapi
```

...it includes the same code and dependencies as:

```bash
pip install "fastapi-slim[standard]"
```

The standard extra dependencies are the ones mentioned above.

## License

```bash
pip install fastapi
```

...it includes the same code and dependencies as:

```bash
pip install "fastapi-slim[standard]"
```

The standard extra dependencies are the ones mentioned above.

## License

* el path `/`
* usando una <abbr title="an HTTP GET method">operación <code>get</code></abbr>

!!! info "Información sobre `@decorator`"
    Esa sintaxis `@algo` se llama un "decorador" en Python.

    Lo pones encima de una función. Es como un lindo sombrero decorado (creo que de ahí salió el concepto).

    Un "decorador" toma la función que tiene debajo y hace algo con ella.

In this case, if you had **multiple containers**, by default, when Prometheus came to **read the metrics**, it would get the ones for **a single container each time** (for the container that handled that particular request), instead of getting the **accumulated metrics** for all the replicated containers.