Event Streaming Platform
Overview
Engineered a distributed event streaming system with Go, Kafka, and Rust to efficiently process and analyze high-volume real-time event data with excellent fault tolerance.
Background
This project showcases my abilities in distributed systems architecture and event-driven design. I built a multi-service ecosystem including a Python event simulator, a Go Gin server producing Kafka topics, and Rust consumers processing events with a priority-based scheduling system. The system can handle diverse event types with variable priorities and processing requirements, demonstrating my skills in designing resilient and scalable systems. Technical metrics: ~7,800 total lines of code across languages, processing throughput of 25,000+ events/second, and 99.99% uptime with automated failover mechanisms.
Preview
