High-Throughput API Optimization

The Challenge

Critical APIs serving real-time PBM transactions were suffering from multi-second response times. As user volume grew, this latency caused downstream timeouts and severely degraded the user experience. The platform needed to scale to handle 1M+ daily requests reliably.

Engineering & Optimization Strategy

Scaling required both horizontal infrastructure expansion and deep code-level optimization. I approached this through a systematic performance tuning strategy:

• Execution-Flow Optimization: Refactored Node.js async flows to eliminate blocking operations and parallelize independent data fetching.
• Database Tuning: Restructured complex MySQL queries and added targeted indexes, reducing database execution time dramatically.
• Advanced Caching: Implemented aggressive caching strategies using Redis to serve frequent, read-heavy requests without hitting the primary database.
• Resource Right-Sizing: Evaluated and adjusted cloud VM resources to ensure optimal CPU and memory allocation for the Node.js event loop.

Results

The optimization efforts yielded a 90%+ latency reduction. APIs that previously took multiple seconds to respond were brought down to sub-100ms latency. The platform now flawlessly handles over 1 million daily real-time transactions with zero timeouts and a 99.98% uptime.