• Performance Optimization (Redis) Integrated a multi-layer Redis caching strategy with a custom-tuned JedisPool (500 max connections). Successfully optimized system response time under heavy load, reducing average latency from 394ms to 205ms (a 48% improvement).
• High-Load Testing & Scalability Conducted rigorous stress testing using Apache JMeter, simulating 10,000+ transaction samples. Validated system stability with a peak throughput of 477.3 requests/sec and sustained a 0.00% error rate throughout the session.
• Traffic Management & Messaging Leveraged Kafka for asynchronous message queuing and traffic shaving to handle bursty traffic, ensuring the database remained protected even during the 477.3 req/s peak load period.
• Architecture & Security Implemented Database Sharding to manage expanding data volumes and built a stateless authentication system using JWT with Access/Refresh token rotation for secure, scalable user sessions.