}

// xlMetaV2DeleteMarker defines the data struct for the delete marker journal type
type xlMetaV2DeleteMarker struct {
	VersionID [16]byte          `json:"ID" msg:"ID"`                               // Version ID for delete marker
	ModTime   int64             `json:"MTime" msg:"MTime"`                         // Object delete marker modified time

          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{bucket}}",
          "refId": "A"
        }
      ],
      "title": "Delete Markers",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "Prometheus"
      },
      "fieldConfig": {
        "defaults": {

	public final fun get (Lokhttp3/TlsVersion;Lokhttp3/CipherSuite;Ljava/util/List;Ljava/util/List;)Lokhttp3/Handshake;
}

public final class okhttp3/Headers : java/lang/Iterable, kotlin/jvm/internal/markers/KMappedMarker {
	public static final field Companion Lokhttp3/Headers$Companion;
	public static final field EMPTY Lokhttp3/Headers;
	public final fun -deprecated_size ()I
	public final fun byteCount ()J

Dann können Sie Gunicorn ausführen mit:

<div class="termy">

```console
$ gunicorn main:app --workers 4 --worker-class uvicorn.workers.UvicornWorker --bind 0.0.0.0:80

[19499] [INFO] Starting gunicorn 20.1.0
[19499] [INFO] Listening at: http://0.0.0.0:80 (19499)
[19499] [INFO] Using worker: uvicorn.workers.UvicornWorker
[19511] [INFO] Booting worker with pid: 19511
[19513] [INFO] Booting worker with pid: 19513

En particular, cuando corras en **Kubernetes** probablemente **no** querrás usar workers y en cambio correr **un solo proceso de Uvicorn por contenedor**, pero te contaré sobre eso más adelante en ese capítulo.

///

## Múltiples Workers

Puedes iniciar múltiples workers con la opción de línea de comando `--workers`:

//// tab | `fastapi`

Si usas el comando `fastapi`:

<div class="termy">

```console

## 🏃 🐁 ⏮️ Uvicorn 👨‍🏭

⤴️ 👆 💪 🏃 🐁 ⏮️:

<div class="termy">

```console
$ gunicorn main:app --workers 4 --worker-class uvicorn.workers.UvicornWorker --bind 0.0.0.0:80

[19499] [INFO] Starting gunicorn 20.1.0
[19499] [INFO] Listening at: http://0.0.0.0:80 (19499)
[19499] [INFO] Using worker: uvicorn.workers.UvicornWorker
[19511] [INFO] Booting worker with pid: 19511
[19513] [INFO] Booting worker with pid: 19513

In particular, when running on **Kubernetes** you will probably **not** want to use workers and instead run **a single Uvicorn process per container**, but I'll tell you about it later in that chapter.

///

## Multiple Workers { #multiple-workers }

You can start multiple workers with the `--workers` command line option:

//// tab | `fastapi`

If you use the `fastapi` command:

<div class="termy">

import (
	"context"
	"fmt"
	"strconv"
	"strings"
)

// markerTagVersion is the marker version.
// Should not need to be updated unless a fundamental change is made to the marker format.
const markerTagVersion = "v2"

// parseMarker will parse a marker possibly encoded with encodeMarker
func (o *listPathOptions) parseMarker() {
	s := o.Marker
	if !strings.Contains(s, "[minio_cache:"+markerTagVersion) {
		return
	}

## 구니콘을 유비콘 워커와 함께 실행하기

설치 후 구니콘 실행하기:

<div class="termy">

```console
$ gunicorn main:app --workers 4 --worker-class uvicorn.workers.UvicornWorker --bind 0.0.0.0:80

[19499] [INFO] Starting gunicorn 20.1.0
[19499] [INFO] Listening at: http://0.0.0.0:80 (19499)
[19499] [INFO] Using worker: uvicorn.workers.UvicornWorker
[19511] [INFO] Booting worker with pid: 19511
[19513] [INFO] Booting worker with pid: 19513

///

## Vários trabalhadores

Você pode iniciar vários trabalhadores com a opção de linha de comando `--workers`:

//// tab | `fastapi`

Se você usar o comando `fastapi`:

<div class="termy">

```console
$ <font color="#4E9A06">fastapi</font> run --workers 4 <u style="text-decoration-style:solid">main.py</u>