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Dynamic failure detection and load weight adjustment strategy in Nginx load balancing solution

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2023-10-15 15:54:23721browse

Dynamic failure detection and load weight adjustment strategy in Nginx load balancing solution

Dynamic failure detection and load weight adjustment strategy in Nginx load balancing solution requires specific code examples

Introduction
In a high-concurrency network environment, the load Equalizing is a common solution that can effectively improve the usability and performance of your website. Nginx is an open source, high-performance web server that provides powerful load balancing capabilities. This article will introduce two important features in Nginx load balancing, dynamic failure detection and load weight adjustment strategy, and provide specific code examples.

1. Dynamic failure detection
Dynamic failure detection means that when the backend server fails or is unavailable, Nginx can automatically forward the request to other available servers to provide better service availability. Nginx implements dynamic failure detection by using the healthcheck module.

  1. Configuring the healthcheck module
    First, you need to enable the healthcheck module in the Nginx configuration file. Add the following configuration in the http block:
http {
  # 启用http_healthcheck模块
  healthcheck {
    # 检查间隔为5秒
    interval=5s;
    # 超时时间为2秒
    timeout=2s;
    # 失败的最大次数为3次
    fails=3;
    # 检查的URI路径
    uri=/healthcheck;
  }

  # 其他配置项...
}
  1. Configure upstream and server
    Then, configure the list of backend servers in the upstream block. Each server needs to configure the corresponding backup server, that is, the backup server used when the main server is unavailable, as shown below:
upstream backend {
  # 主服务器
  server backend1.example.com;
  
  # 备用服务器
  server backup.backend1.example.com backup;
  server backup.backend2.example.com backup;
  
  # 其他服务器...
}
  1. Configure location
    Finally, it needs to be in the location block Configure proxy rules and specify the method of dynamic failure detection. The following example uses the "least_conn" load balancing strategy and enables the healthcheck module:
location / {
  # 使用least_conn负载均衡策略
  proxy_pass http://backend;

  # healthcheck模块配置
  proxy_next_upstream error timeout invalid_header http_500;
  proxy_connect_timeout 2s;
  proxy_set_header Host $host;
}

2. Load weight adjustment strategy
Load weight adjustment refers to the performance and load of the back-end server. , dynamically adjust the weight of forwarded requests to achieve load balancing.

  1. Configure load weight
    First, configure the load weight of each backend server in the upstream block. Different weight values ​​can be specified based on the performance and load of the server. As shown below:
upstream backend {
  # 主服务器,权重为5
  server backend1.example.com weight=5;
  
  # 其他服务器...
}
  1. Configure load balancing policy
    Then, specify the load balancing policy in the location block. The following example uses the "ip_hash" load balancing policy and enables load weight adjustment:
location / {
  # 使用ip_hash负载均衡策略
  ip_hash;

  # 配置负载权重
  upstream backend {
    server backend1.example.com weight=5;
    server backend2.example.com weight=10;
  }

  # 配置其他代理设置...
}

The above code example illustrates the dynamic failure detection and load weight adjustment strategy in the Nginx load balancing scheme. By using the healthcheck module and load weight configuration, better service availability and load balancing effects can be achieved in high-concurrency network environments. I hope this article will help you understand the Nginx load balancing solution.

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