the erasure set for an object. Healing is also done per object within the erasure set which contains the object.

- MinIO does erasure coding at the object level not at the volume level, unlike other object storage vendors. This allows applications to choose different storage class by setting `x-amz-storage-class=STANDARD/REDUCED_REDUNDANCY` for each object uploads so effectively utilizing the capacity of the cluster. Additionally these can also be enforced using IAM policies to make sure...

INFO:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
INFO:     Started reloader process [28720]
INFO:     Started server process [28722]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
```

</div>

<details markdown="1">
<summary>À propos de la commande <code>uvicorn main:app --reload</code> ...</summary>

So, you would be able to, for example, share the same data from a Django application in a database with a FastAPI application. Or gradually migrate a Django application using the same database.

And your users would be able to login from your Django app or from your **FastAPI** app, at the same time.

///

 * conditions, users of jCIFS need not be concerned with this class as
 * name resolution and session services are handled internally by the smb package.
 *
 *
 *  * Applications can use the methods <code>getLocalHost</code>,
 * <code>getByName</code>, and
 * <code>getAllByAddress</code> to create a new NbtAddress instance. This
 * class is symmetric with {@link java.net.InetAddress}.
 *
 *

e então ele não será incluído no OpenAPI schema.

## Montando uma sub-aplicação

Se você precisar montar uma sub-aplicação (como descrito em [Sub Aplicações - Montagens](sub-applications.md){.internal-link target=_blank}) enquanto também usa um proxy com `root_path`, você pode fazer isso normalmente, como esperaria.

* Add docs for [Debugging FastAPI applications in editors](https://fastapi.tiangolo.com/tutorial/debugging/).

* Clarify [Bigger Applications deployed with Docker](https://fastapi.tiangolo.com/deployment/#bigger-applications).

* Fix typos in docs.

* Used in production applications.

## Starlette features { #starlette-features }

**FastAPI** is fully compatible with (and based on) <a href="https://www.starlette.io/" class="external-link" target="_blank"><strong>Starlette</strong></a>. So, any additional Starlette code you have, will also work.

container is built.
     * Turnkey Deployments (Deployment API (Beta) in the Extensions API group)
automate deployment and rolling updates of applications, specified
declaratively. It handles versioning, multiple simultaneous rollouts,
aggregating status across all pods, maintaining application availability, and
rollback.
  * <strong>Automated cluster management: </strong>
     * Kubernetes clusters can now span zones within a cloud provider. Pods from a

**PLEASE READ: This feature is meant for advanced use-cases only where the setup is using bucket versioning or with replicated buckets, use this feature to optimize versioning behavior for some specific applications. MinIO experts will evaluate and guide on the benefits for your application, please reach out to us on <https://subnet.min.io>.**

[libraries](https://www.tensorflow.org/resources/libraries-extensions), and
[community](https://www.tensorflow.org/community) resources that lets
researchers push the state-of-the-art in ML and developers easily build and
deploy ML-powered applications.

TensorFlow was originally developed by researchers and engineers working within
the Machine Intelligence team at Google Brain to conduct research in machine