Tell about your experience working with high-load systems. Have you had to solve tasks related to traffic distribution and balancing?

In my experience working with high-load systems, a key aspect was organizing effective traffic distribution and load balancing to ensure stability and scalability.

For example, in one project, I implemented an application-level load balancer using Golang. This allowed:

• Even distribution of requests among multiple servers.
• Fault tolerance through health checks of backends.
• Use of load balancing algorithms (round-robin, least connections) depending on the load.

I also worked with systems where horizontal scaling was applied using proxies and distributed queues, enabling the processing of millions of requests per day without performance degradation.

Here's an example of a simple load balancer in Go:

package main

import (
    "net/http"
    "net/http/httputil"
    "net/url"
    "sync/atomic"
)

var servers = []*url.URL{
    {Scheme: "http", Host: "server1:8080"},
    {Scheme: "http", Host: "server2:8080"},
}

var counter uint64

func handler(w http.ResponseWriter, r *http.Request) {
    idx := atomic.AddUint64(&counter, 1) % uint64(len(servers))
    proxy := httputil.NewSingleHostReverseProxy(servers[idx])
    proxy.ServeHTTP(w, r)
}

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

This approach helps efficiently distribute load and maintain high service availability.