Load Balancing


Load balancing is a core concept in system design that aims to distribute incoming network traffic across multiple servers. This distribution prevents any single server from becoming overloaded, ensuring high availability, responsiveness, and fault tolerance. It’s like having multiple cashiers at a grocery store instead of just one – the checkout lines move faster, and the system can handle more customers.

There are various load balancing algorithms, each with its own strengths and weaknesses:

Let’s illustrate a simple round-robin implementation in Go:

package main

import (
    "fmt"
    "net/http"
    "net/http/httputil"
    "net/url"
)

var servers = []*url.URL{
    {Scheme: "http", Host: "server1:8080"},
    {Scheme: "http", Host: "server2:8080"},
    {Scheme: "http", Host: "server3:8080"},
}

var currentServer = 0

func loadBalancer(w http.ResponseWriter, r *http.Request) {
    server := servers[currentServer]
    proxy := httputil.NewSingleHostReverseProxy(server)

    proxy.ServeHTTP(w, r)

    currentServer = (currentServer + 1) % len(servers)
}

func main() {
    http.HandleFunc("/", loadBalancer)

    fmt.Println("Load balancer listening on :8000")
    http.ListenAndServe(":8000", nil)
}

This code snippet demonstrates a basic round-robin load balancer. It cycles through a list of server URLs, directing each incoming request to the next server in line. Real-world implementations are far more complex, incorporating health checks, connection pooling, and more sophisticated algorithms.

Load balancing is crucial for building scalable and resilient web applications. By distributing traffic effectively, it enhances performance, improves availability, and provides fault tolerance, enabling systems to handle increased demand and withstand server failures.