# include /etc/nginx/conf.d/*.conf;

    upstream minio {
        server minio1:9000;
        server minio2:9000;
        server minio3:9000;
        server minio4:9000;
    }

    upstream console {
        ip_hash;
        server minio1:9001;
        server minio2:9001;
        server minio3:9001;
        server minio4:9001;
    }

    server {
        listen       9000;
        listen  [::]:9000;

Um eines der Beispiele auszuführen, kopieren Sie den Code in eine Datei `main.py`, und starten Sie `uvicorn` mit:

<div class="termy">

```console
$ uvicorn main:app --reload

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
<span style="color: green;">INFO</span>:     Started reloader process [28720]

Чтобы запустить любой из примеров, скопируйте код в файл `main.py` и запустите `uvicorn` с параметрами:

<div class="termy">

```console
$ uvicorn main:app --reload

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
<span style="color: green;">INFO</span>:     Started reloader process [28720]

vm.swappiness=0
vm.vfs_cache_pressure=50

# Start writeback at 3% memory
vm.dirty_background_ratio=3
# Force writeback at 10% memory
vm.dirty_ratio=10

# Quite a few memory map
# areas may be consumed
vm.max_map_count=524288

# Default is 500000 = 0.5ms
kernel.sched_migration_cost_ns=5000000

# stalled hdd io threads
kernel.hung_task_timeout_secs=85

# network tuning for bigger throughput

{* ../../docs_src/first_steps/tutorial001.py *}

Copiez ce code dans un fichier nommé `main.py`.

Démarrez le serveur :

<div class="termy">

```console
$ uvicorn main:app --reload

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
<span style="color: green;">INFO</span>:     Started reloader process [28720]

Agora inicie o Traefik:

<div class="termy">

```console
$ ./traefik --configFile=traefik.toml

INFO[0000] Configuration loaded from file: /home/user/awesomeapi/traefik.toml
```

</div>

E agora inicie sua aplicação, usando a opção `--root-path`:

<div class="termy">

```console
$ fastapi run main.py --root-path /api/v1

	globalTrace = pubsub.New[madmin.TraceInfo, madmin.TraceType](8)

	// global Listen system to send S3 API events to registered listeners
	globalHTTPListen = pubsub.New[event.Event, pubsub.Mask](0)

	// global console system to send console logs to
	// registered listeners
	globalConsoleSys *HTTPConsoleLoggerSys

	// All unique drives for this deployment
	globalEndpoints EndpointServerPools
	// All unique nodes for this deployment

<div class="termy">

```console
$ pip install pytest

---> 100%
```

</div>

`pytest` автоматично знайде файли з тестами, виконає їх і надасть вам результати.

Запустіть тести за допомогою:

<div class="termy">

```console
$ pytest

================ test session starts ================

   */
  public void addAll(long... values) {
    for (long value : values) {
      add(value);
    }
  }

  /**
   * Adds the given values to the dataset. The stream will be completely consumed by this method.
   *
   * @param values a series of values
   * @since 33.4.0 (but since 28.2 in the JRE flavor)
   */
  @IgnoreJRERequirement // Users will use this only if they're already using streams.

We used [kafkacat](https://github.com/edenhill/kafkacat) to print all notifications on the console.

```
kafkacat -C -b localhost:9092 -t bucketevents
```

Open another terminal and upload a JPEG image into `images` bucket.

```
mc cp myphoto.jpg myminio/images
```

`kafkacat` prints the event notification to the console.

```
kafkacat -b localhost:9092 -t bucketevents
{