How I Optimized a Spring Boot Application to Handle 1M Requests/Second 🚀

Discover the exact techniques I used to scale a Spring Boot application from handling 50K to 1M requests per second. I’ll share the surprising bottlenecks I uncovered, the reactive programming patterns that made the biggest difference, and the configuration tweaks that unlocked massive performance gains.

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Last year, our team faced what seemed like an impossible challenge: our Spring Boot application needed to handle a 20x increase in traffic, from 50,000 requests per second to a staggering 1 million. With only three months to deliver and a limited hardware budget, I wasn’t sure if we could pull it off.

Spoiler alert: we did it. Our application now comfortably handles peak loads of 1.2 million requests per second with sub-100ms response times, running on roughly the same infrastructure cost as before.

In this guide, I’ll walk you through exactly how we accomplished this, sharing the real bottlenecks we found, the optimizations that made the biggest difference…