Optimizing API Performance for High-Concurrency Systems
Practical strategies for handling high-concurrency ride requests and payment processing in logistics platforms.
Ayomide04 July 20264 min read
Share
The challenge at Hireus Logistics
At Hireus Logistics, we faced challenges with high-concurrency ride requests during peak hours. The solution involved database query optimization, connection pooling, and strategic caching layers.
Dynamic pricing
Dynamic pricing algorithms needed to process demand, distance, and system conditions in real-time. I implemented these as isolated services with clear interfaces, making them testable and maintainable.
Results
The result was a 30% improvement in system responsiveness and 25% reduction in tracking delays through optimized API design and Google Maps API integration.