Microservice request forwarding and proxy monitoring tool written in Go language

Microservice request forwarding and proxy monitoring tool written in Go language

1. Introduction
In modern software development, microservice architecture has gradually become mainstream . As the complexity of the system continues to increase, dividing the entire system into several small, autonomous services can provide better scalability and maintainability. However, in a microservices architecture, request forwarding and proxy monitoring between services is a challenging task. This article will introduce how to use Go language to write a simple but powerful microservice request forwarding and proxy monitoring tool.

2. Tool Design
Our tool is designed to achieve the following functions:

1. Receive external requests and forward them to the corresponding microservices according to routing rules;
2. Monitor forwarded requests and record key indicators, such as the number of requests, response time, etc.;
3. You can dynamically update routing rules in the configuration to implement flexible request forwarding strategies.

3. Project structure
Let’s first take a look at the basic structure of the project:

proxymon/
├─ main.go
├─ config.go
├─ router.go
├─ logger.go
└─ proxy.go

• main.go: The entry file of the application, start the HTTP server and configure it Routing;
• config.go: loads and parses configuration files, and provides an interface for dynamically updating configurations;
• router.go: forwards requests to the corresponding microservices according to configured routing rules;
• logger.go: Record the relevant indicators of the request, such as the number of requests, response time, etc.;
• proxy.go: Implement the forwarding proxy for HTTP requests.

4. Core functions

1. Loading configuration
   We first implement the function of loading and parsing the configuration file in config.go:

   func loadConfig() {
    // 加载并解析配置文件
    // ...
   }
   
   func watchConfigChanges() {
    // 监听配置文件变化，动态更新配置
    // ...
   }

2. Routing and forwarding
   In router.go, we forward the request to the corresponding microservice according to the configured routing rules:

   type router struct {
    routingTable map[string]string
   }
   
   func (r *router) route(req *http.Request) (*http.Response, error) {
    service := req.URL.Path
    
    if endpoint, ok := r.routingTable[service]; ok {
        // 转发请求
        resp, err := http.DefaultClient.Do(req)
        if err != nil {
            return nil, err
        }
        
        return resp, nil
    }
    
    // 未找到对应的微服务
    return nil, errors.New("Service not found")
   }

3. Request proxy
   Implement the forwarding proxy of HTTP requests in proxy.go, and record related request indicators:

   func proxyHandler(w http.ResponseWriter, req *http.Request) {
    // 转发请求
    resp, err := router.route(req)
    if err != nil {
        http.Error(w, err.Error(), http.StatusInternalServerError)
        return
    }
    
    // 记录指标
    logger.RecordMetrics(req, resp)
    
    // 返回响应
    for key, values := range resp.Header {
        for _, value := range values {
            w.Header().Set(key, value)
        }
    }
    w.WriteHeader(resp.StatusCode)
    io.Copy(w, resp.Body)
    resp.Body.Close()
   }

4. Request monitoring
   In logger.go, we record the requested Relevant indicators and provide an interface for obtaining monitoring data:

   func RecordMetrics(req *http.Request, resp *http.Response) {
    // 记录请求次数、响应时间等指标
    // ...
   }
   
   func GetMetrics() []Metric {
    // 返回监控数据
    // ...
   }

5. Testing and Deployment
After completing the above functions, we can use main.go to start the HTTP server and send the request Proxy to the corresponding microservice. At the same time, we can obtain the requested monitoring data by accessing a specific interface.

6. Summary
By using the microservice request forwarding and proxy monitoring tools written in Go language, we can easily implement the request forwarding and proxy monitoring functions in the microservice architecture. This tool is simple and lightweight, and can dynamically update routing rules to flexibly respond to different business scenarios. I hope this article will be helpful to you when building a microservices architecture.

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