Vous pouvez utiliser <a href="https://www.docker.com/" class="external-link" target="_blank">**Docker**</a> pour le déploiement. Il présente plusieurs avantages comme la sécurité, la réplicabilité, la simplicité de développement, etc.

Si vous utilisez Docker, vous pouvez utiliser l'image Docker officielle :

### Full Stack FastAPI PostgreSQL - Fonctionnalités

* Intégration **Docker** complète (basée sur Docker).
* Déploiement Docker en mode <a href="https://docs.docker.com/engine/swarm/" class="external-link" target="_blank">Swarm</a>
* Intégration **Docker Compose** et optimisation pour développement local.
* Serveur web Python **prêt au déploiement** utilisant Uvicorn et Gunicorn.

### Full Stack FastAPI PostgreSQL – Funktionen

* Vollständige **Docker**-Integration (Docker-basiert).
* Docker-Schwarmmodus-Deployment.
* **Docker Compose**-Integration und Optimierung für die lokale Entwicklung.
* **Produktionsbereit** Python-Webserver, verwendet Uvicorn und Gunicorn.

### Full Stack FastAPI PostgreSQL - Recursos

* Integração completa **Docker**.
* Modo de implantação Docker Swarm.
* Integração e otimização **Docker Compose** para desenvolvimento local.
* **Pronto para Produção** com servidor _web_ usando Uvicorn e Gunicorn.

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

## 🚮 🔢 🤚 `Bucket`

**🗄**, 🥡 ⚒ 📄, 👈 💪 🎏 🆎.

👫 🛎 🌐 🔗 🎏 🈸.

🔑 🔗 💽 🌏 🔜 "💽" (🎯 💽, 🚫 💽 💽).

🔑 **✳** 🔜 "🗃".

📟, `Bucket` 🎨 👑 🇨🇻 📻 ⏮️ 💽.

👉 🚙 🔢 🔜:

* 🔗 **🗄** 🌑 (👈 💪 👁 🎰).
    * ⚒ 🔢 ⏲.
* 🔓 🌑.
* 🤚 `Bucket` 👐.
    * ⚒ 🔢 ⏲.
* 📨 ⚫️.

```Python hl_lines="12-21"

        uses: mxschmitt/action-tmate@v3
        if: ${{ github.event_name == 'workflow_dispatch' && github.event.inputs.debug_enabled == 'true' }}
        with:
          limit-access-to-actor: true
      - uses: docker://tiangolo/latest-changes:0.3.0
      # - uses: tiangolo/latest-changes@main
        with:
          token: ${{ secrets.GITHUB_TOKEN }}
          latest_changes_file: docs/en/docs/release-notes.md

```

## Add a function to get a `Bucket`

In **Couchbase**, a bucket is a set of documents, that can be of different types.

They are generally all related to the same application.

The analogy in the relational database world would be a "database" (a specific database, not the database server).

The analogy in **MongoDB** would be a "collection".

author: "Sebastián Ramírez <******@****.***>"
inputs:
  token:
    description: 'User token, to read the GitHub API. Can be passed in using {{ secrets.FASTAPI_PEOPLE }}'
    required: true
runs:
  using: 'docker'

    - 🦇 Dark mode support.
- 🐋 [Docker Compose](https://www.docker.com) for development and production.
- 🔒 Secure password hashing by default.
- 🔑 JWT token authentication.
- 📫 Email based password recovery.
- ✅ Tests with [Pytest](https://pytest.org).
- 📞 [Traefik](https://traefik.io) as a reverse proxy / load balancer.

  token:
    description: Token for the repo. Can be passed in using {{ secrets.GITHUB_TOKEN }}
    required: true
  deploy_url:
    description: The deployment URL to comment in the PR
    required: true
runs:
  using: docker