Why We Removed All Reactive Code From Our Spring Boot Services (And Throughput Went Up)

1. 1Assess current system performance using metrics and monitoring tools
2. 2Identify bottlenecks and areas where reactive code is used
3. 3Replace reactive code with blocking IO alternatives
4. 4Test and measure the impact on system throughput and latency
5. 5Configure and optimize blocking IO settings for better performance

Developers and architects on a team benefit from understanding the trade-offs between reactive and blocking IO, as it impacts system performance and maintainability

💡 Reactive code doesn't always mean better performance, and blocking IO can be a viable alternative

💡 Ditching reactive code for blocking IO improved throughput in Spring Boot services