- Active-Active replication
- Multi destination replication

## How to use?

Ensure that versioning is enabled on the source and target buckets with `mc version` command. If object locking is required, the buckets should have been created with `mc mb --with-lock`

stated above is already equivalent to code execution. In any case, the
recommendation is not to serve models using Eager mode since it also has
performance limitations.

## Multi-Tenant environments

It is possible to run multiple TensorFlow models in parallel. For example,
`ModelServer` collates all computation graphs exposed to it (from multiple

    * **Vuetify** pour de magnifiques composants *material design*.
    * **TypeScript**.
    * Serveur Docker basé sur **Nginx** (configuré pour être facilement manipulé avec Vue-router).
    * Utilisation de *Docker multi-stage building*, pour ne pas avoir besoin de sauvegarder ou *commit* du code compilé.
    * Tests frontend exécutés à la compilation (pouvant être désactivés).

    var random: String? = null
    lateinit var currentThread: Thread

    private val loggerHandler =
      object : Handler() {
        override fun publish(record: LogRecord) {
          // Try to avoid multi threading issues with concurrent requests
          if (Thread.currentThread() != currentThread) {
            return
          }

          // https://timothybasanov.com/2016/05/26/java-pre-master-secret.html

# How to monitor MinIO server with Prometheus? [![Slack](https://slack.min.io/slack?type=svg)](https://slack.min.io)

### Raspberry Pi et autres architectures

Si vous utilisez Docker sur un Raspberry Pi (qui a un processeur ARM) ou toute autre architecture, vous pouvez créer un `Dockerfile` à partir de zéro, basé sur une image de base Python (qui est multi-architecture) et utiliser Uvicorn seul.

Dans ce cas, votre `Dockerfile` pourrait ressembler à ceci :

```Dockerfile
FROM python:3.7

RUN pip install fastapi uvicorn

EXPOSE 80

COPY ./app /app

        description = "Run cross-version tests against all released versions (latest patch release of each)"
        group = ciGroup
    }

    register("allVersionsIntegMultiVersionTest") {
        description = "Run all multi-version integration tests with all version to cover"
        group = ciGroup
    }

    register("parallelTest") {

## Recap

You can use **Gunicorn** (or also Uvicorn) as a process manager with Uvicorn workers to take advantage of **multi-core CPUs**, to run **multiple processes in parallel**.

You could use these tools and ideas if you are setting up **your own deployment system** while taking care of the other deployment concepts yourself.

    ```Python hl_lines="18-19"
    {!> ../../../docs_src/path_operation_configuration/tutorial003_py310.py!}
    ```

## 📛 ⚪️➡️ #️⃣

📛 😑 📏 &amp; 📔 💗 ⏸, 👆 💪 📣 *➡ 🛠️* 📛 🔢 <abbr title="a multi-line string as the first expression inside a function (not assigned to any variable) used for documentation"> #️⃣ </abbr> &amp; **FastAPI** 🔜 ✍ ⚫️ ⚪️➡️ 📤.

    continuation.left = length
    continuation.length = continuation.left
    continuation.padding = padding
    continuation.flags = flags
    continuation.streamId = streamId

    // TODO: Concat multi-value headers with 0x0, except COOKIE, which uses 0x3B, 0x20.
    // http://tools.ietf.org/html/draft-ietf-httpbis-http2-17#section-8.1.2.5
    hpackReader.readHeaders()
    return hpackReader.getAndResetHeaderList()
  }