A travel organization in North America encountered unresponsive microservices because of too many threads. The Site Reliability Engineering (SRE) team analyzed thread dumps and found that 2,319 threads were stuck waiting for network responses due to an issue with a Cassandra database. Fixing a disk space shortage restored normal performance and helped prevent future problems. This approach was essential for quick and effective problem-solving.
Java EE architecture is known for its scalability and powerful features, but it can be difficult to solve performance issues in production. Analyzing thread dumps is crucial for identifying problems like high CPU usage or deadlocks. This process helps find the root causes faster, as shown in a case study where a financial company solved similar issues.