Performance tuning of PHP applications using Docker Compose, Nginx and MariaDB

Performance tuning of PHP applications using Docker Compose, Nginx and MariaDB

Introduction:
In modern web application development, performance is a Crucial considerations. Optimizing application performance can significantly improve user experience and reduce consumption of server resources when handling large numbers of concurrent requests. This article introduces how to use Docker Compose, Nginx and MariaDB to optimize the performance tuning of PHP applications and provides specific code examples.

1. Use of Docker Compose
Docker Compose is a tool officially provided by Docker, which can run multiple services by defining and managing multiple containers. Use Docker Compose to simplify the application deployment and management process.

The following is an example Docker Compose configuration file:

version: '3'
services:
  app:
    build: .
    ports:
      - 8000:80
    depends_on:
      - db
  db:
    image: mariadb
    environment:
      - MYSQL_ROOT_PASSWORD=root
    volumes:
      - ./data:/var/lib/mysql

In the above configuration file, we define two services: app and db. The app service is our PHP application, using Nginx as the web server. The db service is our database, using MariaDB.

2. Nginx performance tuning
Nginx is a high-performance web server that can be used as a front-end server for PHP applications.

The following is an example Nginx configuration file:

user www-data;
worker_processes auto;
pid /run/nginx.pid;
include /etc/nginx/modules-enabled/*.conf;

events {
    worker_connections 1024;
    multi_accept on;
}

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

    sendfile on;
    tcp_nopush on;
    tcp_nodelay on;
    keepalive_timeout 65;
    types_hash_max_size 2048;

    server_tokens off;

    server_names_hash_bucket_size 64;
    client_max_body_size 32M;

    include /etc/nginx/conf.d/*.conf;
    include /etc/nginx/sites-enabled/*;
}

In the above configuration file, we have made several performance optimization configurations:

• Add worker_processes to utilize Multi-core CPU performance.
• Set worker_connections to increase the number of concurrent connections.
• Use sendfile, tcp_nopush and tcp_nodelay to optimize data transfer performance.
• Set keepalive_timeout to maintain a long connection.
• Turn off server_tokens to hide the Nginx version number.
• Increase server_names_hash_bucket_size to improve the performance of the virtual host.

3. MariaDB performance tuning
MariaDB is a branch of MySQL with better performance and more functions.

The following is an example MariaDB configuration file:

[mysqld]
innodb_buffer_pool_size = 128M
innodb_log_file_size = 256M
innodb_flush_log_at_trx_commit = 2
max_connections = 1000
key_buffer_size = 128M

[mysql]
default-character-set=utf8mb4

In the above configuration file, we have made several performance optimization configurations:

• Increase innodb_buffer_pool_size to improve Performance of the InnoDB storage engine.
• Increase innodb_log_file_size to improve writing performance.
• Set innodb_flush_log_at_trx_commit to 2 to improve transaction submission performance.
• Increase max_connections to increase the maximum number of connections.
• Increase key_buffer_size to improve query performance.

4. Conclusion
By using Docker Compose, Nginx and MariaDB, we can easily optimize the performance of PHP applications. Docker Compose can simplify the application deployment and management process, Nginx can serve as a high-performance front-end server, and MariaDB can provide better database performance. We also provide specific configuration file examples to help you better understand how to perform performance tuning.

Although this article only provides some basic performance tuning configurations, you can further optimize according to your specific needs. By properly allocating hardware resources and adjusting application settings, you can further improve the performance of your PHP applications. Hope this article is helpful to you, thank you!

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