How to determine and evaluate the intensity of requests coming to the server to ensure its stable operation?

To determine and assess the request intensity on a server in Go, several approaches can be used:

1. Logging and analysis

   • Enable logging of all incoming requests with timestamps.
   • Analyze logs to count the number of requests per unit of time (e.g., requests per second).

2. Metrics and monitoring

   • Use libraries for collecting metrics, such as the Prometheus client for Go.
   • Collect metrics: number of requests, processing time, number of errors.
   • Set up dashboards and alerts to monitor anomalies.

3. Profiling and load testing

   • Conduct load tests (e.g., using wrk or hey) to understand maximum throughput.
   • Use the built-in Go profiler (pprof) to analyze bottlenecks.

Example of collecting metrics with Prometheus:

import (
    "github.com/prometheus/client_golang/prometheus"
    "github.com/prometheus/client_golang/prometheus/promhttp"
    "net/http"
)

var (
    requestCount = prometheus.NewCounterVec(
        prometheus.CounterOpts{
            Name: "http_requests_total",
            Help: "Total number of HTTP requests",
        },
        []string{"path"},
    )
)

func init() {
    prometheus.MustRegister(requestCount)
}

func handler(w http.ResponseWriter, r *http.Request) {
    requestCount.WithLabelValues(r.URL.Path).Inc()
    w.Write([]byte("Hello, world!"))
}

func main() {
    http.HandleFunc("/", handler)
    http.Handle("/metrics", promhttp.Handler())
    http.ListenAndServe(":8080", nil)
}

Thus, by collecting and analyzing metrics, you can estimate request intensity and make decisions to ensure server stability.