So, to balance that out, imagine the following short story:

> You have to clean a big, dirty house.

*Yep, that's the whole story*.

---

There's no waiting 🕙 anywhere, just a lot of work to be done, on multiple places of the house.

        All that, on top of all the incredible help provided by a bunch of community members, the [FastAPI Experts](https://fastapi.tiangolo.com/fastapi-people/#experts), that give a lot of their time to come here and help others.

        That's a lot of work they are doing, but if more FastAPI users came to help others like them just a little bit more, it would be much less effort for them (and you and me 😅).

And when you return a `Response`, **FastAPI** will pass it directly.

It won't do any data conversion with Pydantic models, it won't convert the contents to any type, etc.

This gives you a lot of flexibility. You can return any data type, override any data declaration or validation, etc.

## Using the `jsonable_encoder` in a `Response`

Then open 10 tabs at <a href="http://127.0.0.1:8000/docs#/default/read_slow_users_slowusers__get" class="external-link" target="_blank">http://127.0.0.1:8000/docs#/default/read_slow_users_slowusers__get</a> at the same time.

* Email notifications sent after performing an action:
    * As connecting to an email server and sending an email tends to be "slow" (several seconds), you can return the response right away and send the email notification in the background.
* Processing data:
    * For example, let's say you receive a file that must go through a slow process, you can return a response of "Accepted" (HTTP 202) and process it in the background.

## Using `BackgroundTasks`

So, if your application consumes a lot of memory (for example with machine learning models), and your server has a lot of CPU cores **but little memory**, then your container could end up trying to use more memory than what is available, and degrading performance a lot (or even crashing). 🚨

### Create a `Dockerfile`

    items = crud.get_items(skip=skip, limit=limit)
    return items


@app.get(
    "/slowusers/", response_model=List[schemas.User], dependencies=[Depends(get_db)]
)
def read_slow_users(skip: int = 0, limit: int = 100):
    global sleep_time
    sleep_time = max(0, sleep_time - 1)
    time.sleep(sleep_time)  # Fake long processing request
    users = crud.get_users(skip=skip, limit=limit)

In many cases you might already know the answer for those questions. 🤓

If you are helping a lot of people with their questions, you will become an official [FastAPI Expert](fastapi-people.md#fastapi-experts){.internal-link target=_blank}. 🎉

You can use this template to get started, as it includes a lot of the initial set up, security, database and some API endpoints already done for you.

Böylece, bu süreçte bilgisayar "slow-file" 📝 tamamlanırken gidip başka işler yapabilir.

Sonra bilgisayar / program 🤖 her fırsatı olduğunda o noktada yaptığı tüm işleri 🤖 bitirene kadar geri dönücek. Ve 🤖 yapması gerekeni yaparak, beklediği görevlerden herhangi birinin bitip bitmediğini görecek.