Case Study 11: Resolving Java Heap Memory Issues: A SaaS Provider
Challenge:
A SaaS company faced frequent Java heap memory issues, leading to performance degradation, application crashes, and increased downtimes. The high memory consumption impacted scalability, causing delays in customer transactions and frustrating end users.
Solution:
OKRUTI conducted a detailed memory profiling and optimization, leveraging:
– Garbage Collection Analysis – Monitored GC logs to identify inefficient memory allocations.
– Heap Memory Optimization – Tuned JVM heap settings, reducing unnecessary memory retention.
– Garbage Collection (GC) Parameter Tuning – Configured G1 and CMS garbage collectors to improve application responsiveness.
– Performance Benchmarking – Conducted load testing to validate memory optimizations.
By optimizing memory allocation and reducing leaks, the system achieved better stability and efficiency.
Results achieved:
✔ Memory leaks have been resolved, resulting in a much smoother performance result.
✔ Improves application stability and complements reduction of unexpected crashes.
✔ More hours of downtime gained and more customers satisfied.
Feedback from a customer:
“By focusing on memory optimization, Okruti solved our persistent performance issues that eventually even led to failure of the system.”