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HomeOperation and MaintenanceLinux Operation and MaintenanceLoad balancing techniques and configuration suggestions for building a web server on CentOS

Load balancing techniques and configuration suggestions for building a web server on CentOS

Aug 08, 2023 pm 07:34 PM
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Load balancing techniques and configuration suggestions for building a web server on CentOS

Load balancing techniques and configuration suggestions for building a web server on CentOS

Abstract: In high-concurrency Web applications, load balancing technology plays a vital role. This article will introduce how to build a high-availability load balancing cluster under CentOS, and provide some configuration suggestions and code examples.

1. Introduction to load balancing technology
Load balancing (Load Balancing) is a technology that improves system performance and availability by distributing workloads to multiple servers. It can effectively avoid overloading a single server and improve the stability and reliability of the system.

2. Choose the appropriate load balancing algorithm
The load balancing algorithm determines how to distribute requests to back-end servers. Common algorithms include Round Robin, Least Connections, Source IP Hash, etc. It is very important to choose the appropriate algorithm based on the actual needs of the application.

3. Install and configure Nginx load balancing
Nginx is a high-performance web server and reverse proxy server that is widely used in CentOS systems. The following are the steps to install and configure Nginx:

  1. Use the command yum install nginxInstall Nginx.
  2. In the Nginx configuration file /etc/nginx/nginx.conf, add the following content:
http {
    upstream backend {
        server backend1.example.com;
        server backend2.example.com;
        # 添加更多后端服务器
    }
    
    server {
        listen 80;
        server_name example.com;
        
        location / {
            proxy_pass http://backend;
            # 其他代理配置
        }
    }
}
  1. Use the command systemctl start nginxStart Nginx service.

4. Use Haproxy to achieve load balancing
Haproxy is a powerful load balancing software with high performance and high reliability. The following are the steps to install and configure Haproxy:

  1. Use the command yum install haproxyInstall Haproxy.
  2. In the Haproxy configuration file /etc/haproxy/haproxy.cfg, add the following content:
global
    log /dev/log    local0
    log /dev/log    local1 notice
    maxconn 4096
    tune.ssl.default-dh-param 2048
    
defaults
    log     global
    mode    http
    option  httplog
    option  dontlognull
    retries 3
    timeout http-request 10s
    timeout queue 1m
    timeout connect 10s
    timeout client 1m
    timeout server 1m
    
frontend http-in
    bind *:80
    default_backend servers

backend servers
    balance roundrobin
    server backend1 example1.com:80 check
    server backend2 example2.com:80 check
    # 添加更多后端服务器
  1. Use the command systemctl start haproxyStart the Haproxy service.

5. Frequently Asked Questions and Tuning Suggestions

  1. Avoid single points of failure: Use multiple Nginx or Haproxy instances in a load balancing cluster, and use a proxy server or DNS Parse for high availability.
  2. Set the back-end server weight appropriately: Adjust the weight value of the back-end server based on server performance and load conditions to achieve more balanced load distribution.
  3. Heartbeat detection and health check: Use heartbeat detection and health check functions to promptly discover and troubleshoot faulty servers and improve system availability.
  4. Logs and monitoring: Regularly check logs and monitoring data, analyze system load conditions, performance bottlenecks, etc., and make timely optimization and adjustments.

6. Summary
This article introduces the load balancing techniques and configuration suggestions for building a web server under the CentOS system. By selecting an appropriate load balancing algorithm, installing and configuring Nginx or Haproxy, and optimizing and adjusting related parameters, a high-availability and high-performance load balancing cluster can be achieved.

Note: The above code examples are for reference only, please modify and adjust according to the actual situation.

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