| `minio_node_io_read_bytes`                 | Total bytes read by the process from the underlying storage system, /proc/[pid]/io read_bytes.                  |
| `minio_node_io_wchar_bytes`                | Total bytes written by the process to the underlying storage system including page cache, /proc/[pid]/io wchar. |

user  nginx;
worker_processes  auto;

error_log  /var/log/nginx/error.log warn;
pid        /var/run/nginx.pid;

events {
    worker_connections  4096;
}

http {
    include       /etc/nginx/mime.types;
    default_type  application/octet-stream;

    log_format  main  '$remote_addr - $remote_user [$time_local] "$request" '
                      '$status $body_bytes_sent "$http_referer" '

user  nginx;
worker_processes  auto;

error_log  /var/log/nginx/error.log warn;
pid        /var/run/nginx.pid;

events {
    worker_connections  4096;
}

http {
    include       /etc/nginx/mime.types;
    default_type  application/octet-stream;

    log_format  main  '$remote_addr - $remote_user [$time_local] "$request" '
                      '$status $body_bytes_sent "$http_referer" '

 * to be locked or unlocked, including the process ID, offset, and length.
 *
 * @author mbechler
 */
public class LockingAndXRange implements Encodable, Decodable {

    private final boolean largeFile;
    private int pid;
    private long byteOffset;
    private long lengthInBytes;

    /**
     * Constructs a LockingAndXRange with large file support.
     *
     * @param largeFile whether to use large file support (64-bit offsets)

user  nginx;
worker_processes  auto;

error_log  /var/log/nginx/error.log warn;
pid        /var/run/nginx.pid;

events {
    worker_connections  4096;
}

http {
    include       /etc/nginx/mime.types;
    default_type  application/octet-stream;

    log_format  main  '$remote_addr - $remote_user [$time_local] "$request" '
                      '$status $body_bytes_sent "$http_referer" '

user  nginx;
worker_processes  auto;

error_log  /var/log/nginx/error.log warn;
pid        /var/run/nginx.pid;

events {
    worker_connections  4096;
}

http {
    include       /etc/nginx/mime.types;
    default_type  application/octet-stream;

    log_format  main  '$remote_addr - $remote_user [$time_local] "$request" '
                      '$status $body_bytes_sent "$http_referer" '

<font color="#A6E22E">INFO</font>:     Application startup complete.
```

</div>

////

这里唯一的新选项是 `--workers` 告诉 Uvicorn 启动 4 个工作进程。

您还可以看到它显示了每个进程的 **PID**，父进程（这是**进程管理器**）的 PID 为`27365`，每个工作进程的 PID 为：`27368`、`27369`， `27370`和`27367`。

## 部署概念 { #deployment-concepts }

在这里，您学习了如何使用多个**工作进程（workers）**来让应用程序的执行**并行化**，充分利用 CPU 的**多核性能**，并能够处理**更多的请求**。

            }
          }
        }

        fileset(dir: "${gradle.gradleUserHomeDir}/daemon/${gradle.gradleVersion}", followsymlinks: false) {
          include(name: "**/daemon-${ProcessHandle.current().pid()}*.log")
        }

        fileset(dir: "${gradle.gradleUserHomeDir}/workers", followsymlinks: false)
      }
    } catch (Exception e) {
      logger.lifecycle("Failed to archive additional logs", e)
    }
  }

heap dumps; ensure the directory exists and # has sufficient space -XX:HeapDumpPath=data # specify an alternative path for JVM fatal error logs -XX:ErrorFile=logs/hs_err_pid%p.log ## GC logging -Xlog:gc*,gc+age=trace,safepoint:file=logs/gc.log:utctime,pid,tags:filecount=32,filesize=64m elasticsearch-1.2.3/bin/elasticsearch-keystore #!/bin/sh echo elasticsearch-keystore script executed! elasticsearch-1.2.3/bin/elasticsearch #!/bin/sh exec echo "elasticsearch script executed!"...

heap dumps; ensure the directory exists and # has sufficient space -XX:HeapDumpPath=data # specify an alternative path for JVM fatal error logs -XX:ErrorFile=logs/hs_err_pid%p.log ## GC logging -Xlog:gc*,gc+age=trace,safepoint:file=logs/gc.log:utctime,pid,tags:filecount=32,filesize=64m elasticsearch-1.2.3/bin/elasticsearch-keystore #!/bin/sh echo elasticsearch-keystore script executed! elasticsearch-1.2.3/bin/elasticsearch #!/bin/sh exec echo "elasticsearch script executed!"...