Like System From Scratch 🚀

📌 Overview

This project is a ground-up implementation of a scalable "like" system inspired by real-world architectures used in platforms.

Instead of relying on frameworks or pre-built services, this project focuses on building core system components manually to understand how high-throughput systems actually work.

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🎯 Goals

• Build a custom HTTP server from scratch
• Design a high-performance like counter
• Handle concurrent requests efficiently
• Simulate real-world scaling challenges
• Understand system design fundamentals

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🧠 Concepts Covered

• Networking (TCP, HTTP)
• Concurrency (threads, async processing)
• Queues and background workers
• Caching strategies
• Event-driven architecture
• Load handling and bottlenecks

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⚙️ Architecture (Simplified)

Client → HTTP Server → In-memory Cache → Queue → Worker → Database

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🚀 Features (Planned)

• Basic HTTP server
• Like API endpoint
• In-memory like counter
• Event queue system
• Background worker (batch processing)
• Load simulation
• Real-time updates (WebSocket)

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📂 Project Structure

• server/ → HTTP server implementation
• core/ → business logic (likes, queue, worker)
• docs/ → architecture and design notes
• experiments/ → load testing

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🧪 Why This Project?

Most beginner projects focus on using existing tools. This project focuses on understanding how those tools are built.

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🧭 Future Improvements

• Distributed system simulation
• Fault tolerance handling
• Persistent storage
• Horizontal scaling

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👨‍💻 Author

Built as a learning journey to explore systems engineering from first principles.