Advanced Web Proxy Server

System architecture diagram of the proxy server

Problem Statement

Standard web requests can be slow due to network latency and server load. This project aimed to build a high-performance proxy server to accelerate web browsing by caching frequently accessed data and enhance security through rule-based content filtering.

Technologies Used

Python Socket Threading Logging JSON HTTP/HTTPS

Process & Challenges

The core challenge was implementing a thread-safe caching system with a Time-To-Live (TTL) to ensure data freshness. Architecting the server to handle multiple concurrent connections using multi-threading required careful management of shared resources and locks to prevent race conditions.

What I Learned

Through this project, I mastered low-level networking concepts using Python's socket library. I also gained significant practical experience in concurrent programming, performance optimization, and building robust, scalable backend systems from scratch.