* Um "Init Container" no Kubernetes que roda antes do seu app container
* Um script bash que roda os passos anteriores e então inicia seu aplicativo
    * Você ainda precisaria de uma maneira de iniciar/reiniciar *aquele* script bash, detectar erros, etc.

/// tip | Dica

Darei exemplos mais concretos de como fazer isso com contêineres em um capítulo futuro: [FastAPI em contêineres - Docker](docker.md).

///

```

</div>

<details markdown="1">
<summary>À propos de la commande <code>fastapi dev</code>...</summary>

La commande `fastapi dev` lit automatiquement votre fichier `main.py`, détecte l'application **FastAPI** qu'il contient et lance un serveur avec [Uvicorn](https://www.uvicorn.dev).

Par défaut, `fastapi dev` démarre avec le rechargement automatique activé pour le développement local.

- **Doc JSON** (`doc*.json`) - Document data export
- **System Properties** (`system.properties`) - System configuration

**Usage**:
1. Navigate to **System > Backup**
2. Click **Upload** button
3. Select file (auto-detects format)
4. Click **Import** to process

### 2. REST API Import

#### Bulk Document API

**Endpoint**: `PUT /api/admin/documents/bulk`

**Format**: NDJSON (Newline-Delimited JSON)

    * Logging Agent Improvements
    * Bump logging agent version to 0.2-1.5.33-1-k8s-1.
    * Appropriately set log severity for k8s_container.
    * Fix detect exceptions plugin to analyze message field instead of log field.
    * Fix detect exceptions plugin to analyze streams based on local resource id.
    * Disable the metadata agent for monitored resource construction in logging.

* Un script bash qui exécute les étapes préalables puis démarre votre application
    * Vous aurez toujours besoin d'un moyen de démarrer/redémarrer *ce* script bash, de détecter les erreurs, etc.

/// tip | Astuce

Je vous donnerai des exemples plus concrets pour faire cela avec des conteneurs dans un chapitre à venir : [FastAPI dans des conteneurs - Docker](docker.md).

///

   * 'affect' a bit(j) in the output if two inputs, identical but for bit(i), will differ at output
   * bit(j) about half the time
   *
   * <p>Funneling is pretty simple to detect. The key idea is to find example keys which
   * unequivocally demonstrate that funneling cannot be occurring. This is done bit-by-bit. For each

    managed both idle and active connections for HTTP/2, but only idle
    connections for HTTP/1.x. With this update the connection pool manages both
    idle and active connections for everything. OkHttp now detects and warns on
    connections that were allocated but never released, and will enforce HTTP/2
    stream limits. This update also fixes `Call.cancel()` to not do I/O on the
    calling thread.

query.highlight.phrase.limit=256
# Fields for content description in query highlighting.
query.highlight.content.description.fields=hl_content,digest
# Whether to detect boundary position in query highlighting.
query.highlight.boundary.position.detect=true
# Type for text fragment in query highlighting.
query.highlight.text.fragment.type=query
# Size for text fragment in query highlighting.
query.highlight.text.fragment.size=3

INFO:     Application startup complete.
```

</div>

<details markdown="1">
<summary>About the command <code>fastapi dev</code>...</summary>

The command `fastapi dev` reads your `main.py` file automatically, detects the **FastAPI** app in it, and starts a server using [Uvicorn](https://www.uvicorn.dev).

By default, `fastapi dev` will start with auto-reload enabled for local development.

INFO:     Application startup complete.
```

</div>

<details markdown="1">
<summary>About the command <code>fastapi dev</code>...</summary>

The command `fastapi dev` reads your `main.py` file automatically, detects the **FastAPI** app in it, and starts a server using [Uvicorn](https://www.uvicorn.dev).

By default, `fastapi dev` will start with auto-reload enabled for local development.