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Tuning of Web Server Configuration in PHP Application Performance Optimization

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2024-05-01 17:06:02374browse

By tuning the web server configuration, you can optimize PHP application performance. Specific methods include: adjusting the thread pool size to optimize concurrent request processing; setting the Keepalive timeout to balance delay and resource consumption; setting connection limits to prevent resource exhaustion; Enable GZIP compression to reduce response size; add file caching to improve response speed for frequently requested files.

PHP 应用程序性能优化中 Web 服务器配置的调优

Web Server Configuration Tuning in PHP Application Performance Optimization

Introduction
Web Server configuration is crucial for optimizing the performance of PHP applications. By properly configuring your web server, you can significantly reduce response times and improve user experience.

Key configuration

Thread pool

  • Adjusting the thread pool size optimizes the application's ability to handle concurrent requests .
  • // 建议使用大于 CPU 内核数的值
    worker_processes 4;

    keepalive timeout

  • The Keepalive timeout specifies how long a connection is closed when there is no activity on the client side.
  • Short time helps reduce latency, but too many connections will occupy resources.
  • keepalive_timeout 5; // 5 秒

Connection limit

  • Limits the maximum number of connections supported by each worker process to prevent resource exhaustion.
  • max_connections 1024;

    GZIP Compression

  • GZIP compression reduces response size, thereby increasing response speed.
  • gzip on;
    gzip_types text/plain text/css application/javascript;

File Caching

  • File caching allows web servers to provide static copies of frequently requested files, thereby reducing disk usage I/O.
  • location ~ \.(jpg|jpeg|png|gif|css|js)$ {
      expires max;
      add_header Cache-Control public;
**实战案例**

在一个处理电子商务交易的 PHP 应用程序中,应用了以下优化:

* 将线程池大小从 2 增加到 6,减少了响应时间 25%。
* 将 keepalive 超时从 10 秒减少到 2 秒,减少了延迟并提高了容量。
* 启用了 GZIP 压缩,将单个产品页面响应大小减少了 40%。
* 添加了文件缓存,将首页加载时间减少了 30%。

**结论**

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