🔹 Overview
Optimized backend performance for a large-scale platform serving 100M+ users, improving response times and system efficiency under high load (12,000+ QPS).
🔹 Problem
Slow API response times
High database load
Inefficient queries and lack of caching
Increased infrastructure cost
🔹 Solution
Introduced Redis caching for frequently accessed data
Optimized database queries and indexing
Refactored critical APIs for better performance
Implemented async processing where needed
Improved system observability and monitoring
🔹 Tech Stack
Node.js, Redis, PostgreSQL, AWS/GCP, Monitoring Tools
🔹 Results
Reduced API latency by ~40%
Improved system throughput under high load (12K+ QPS)
Reduced infrastructure cost through optimization
Improved system stability and reliability
Faster response times leading to better user experience