ftomara

ftomara / load-balancer-project

Public

A production-inspired HTTP load balancer built in Go, supporting 5 load balancing algorithms with health checking, rate limiting, and dynamic node registration, containerized with Docker

17
1
100% credibility
Found Apr 25, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Go
AI Summary

This project is a hands-on demo of a request distributor that shares workloads across multiple helper servers using strategies like round-robin and least connections, with automatic health monitoring, traffic limits, and self-joining helpers.

How It Works

1
🔍 Discover the Demo

You stumble upon this project that shows how a smart distributor shares visitor requests across a team of helper servers to keep everything running smoothly.

2
📥 Prepare Your Setup

Download the project files to your computer and ensure you have the simple tools needed to run demos like this.

3
🚀 Launch the System

Hit one easy start button, and your main distributor plus five helper servers spring to life, with helpers automatically joining the team.

4
📡 Test Load Sharing

Send bunches of pretend requests using different sharing methods like taking turns, picking the least busy, or sticking to one helper.

5
🩺 Check Tough Situations

Pretend a helper goes down and watch the system spot it, skip it, and welcome it back when it's ready, or limit speedy visitors to avoid overload.

🎉 Enjoy Balanced Performance

Your demo runs fast and fair, spreading work evenly so no single helper gets overwhelmed, just like a real website under heavy traffic.

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Star Growth

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AI-Generated Review

What is load-balancer-project?

This load balancer project on GitHub is a production-inspired HTTP load balancer built in Go that distributes traffic across containerized nodes using five balancing algorithms: round robin, weighted round robin, random, least connections, and source IP hashing. It handles real-world needs like health checking every 5 seconds, token-bucket rate limiting, and dynamic node registration via a /register endpoint, all spinning up with Docker Compose in seconds. Devs get a full cluster—load balancer plus five sample nodes running CPU-heavy /calc workloads—for instant testing.

Why is it gaining traction?

It stands out with built-in benchmarks via Apache Bench scripts, showing round robin hitting 125 req/sec while least connections offers steadier response times under load. Docker setup and demos for killing/restarting nodes prove dynamic balancing, health checks, and rate limiting work seamlessly without redeploys. Go's concurrency makes it snappy for high-throughput HTTP proxying.

Who should use this?

Backend engineers prototyping microservices clusters or comparing balancing algorithms before picking a GCP cross-project load balancer. Go devs learning production load balancing features like sticky sessions or failover. Teams needing a quick Dockerized testbed for rate-limited APIs with dynamic node scaling.

Verdict

Grab it for education or PoCs—excellent README with benchmarks, algorithm table, and docker-compose up makes it dead simple to hack. At 17 stars and 1.0% credibility score, it's immature for prod (no tests, basic monitoring), but fork and extend for real use.

(198 words)

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