使用 Golang 框架进行性能监控的最佳实践和建议

import (
    "net/http"
    "time"

    "github.com/prometheus/client_golang/prometheus"
    "github.com/prometheus/client_golang/prometheus/promhttp"
)

// Define custom Prometheus metrics
var (
    requestDuration = prometheus.NewHistogramVec(
        prometheus.HistogramOpts{
            Name:    "request_duration",
            Help:    "Request duration in milliseconds.",
            Buckets: []float64{0.1, 0.5, 1, 2, 5, 10},
        },
        []string{"route"},
    )
)

func main() {
    startPrometheus()  // Start Prometheus server
    startGrafana()   // Start Grafana server with Prometheus datasource

    mux := http.NewServeMux()
    mux.HandleFunc("/api/v1/users", handleUser)

    server := &http.Server{
        Addr:    ":8080",
        Handler: mux,
    }

    server.ListenAndServe()
}

// handleUser is a handler function that collects and records performance metrics
func handleUser(w http.ResponseWriter, r *http.Request) {
    start := time.Now()
    defer func() {
        duration := time.Since(start).Milliseconds()
        requestDuration.WithLabelValues(r.URL.Path).Observe(float64(duration))
    }()
    
    // Handle the actual request...
}

func startPrometheus() {
    go func() {
        http.Handle("/metrics", promhttp.Handler())
        http.ListenAndServe(":9100", nil)
    }()
}

func startGrafana() {
    // ... (Grafana server configuration omitted for brevity) ...
}