House of 1000 Coroutines: How we Debugged 3M Unbounded Coroutines in Agoda’s Kotlin Service

1. 1Identify performance bottlenecks using profiling tools
2. 2Apply coroutine debugging techniques to locate issues
3. 3Implement bounded coroutine pools to prevent uncontrolled growth
4. 4Test and validate changes using load testing and simulation
5. 5Monitor and analyze system performance after optimization

This article benefits backend engineers and developers working with Kotlin and coroutines, as it provides insights into debugging and optimizing complex systems

💡 Unbounded coroutines can lead to performance issues and crashes, but applying bounded coroutine pools and debugging techniques can help mitigate these problems

🚀 Debugging 3M coroutines in Agoda's Kotlin service: a story of performance optimization and reliability improvement