The webinar by Ram Lakshmanan from yCrash highlighted the challenges of identifying performance regressions in applications. By using comparative diagnostics and AI-assisted analysis, engineering teams can examine over 200 performance signals across application runs, enabling them to distinguish meaningful changes, uncover root causes, and validate optimizations efficiently.
Java thread dumps are one of the most powerful diagnostic artifacts for understanding application freezes, deadlocks, CPU spikes, and JVM unresponsiveness, but interpreting them accurately is rarely straightforward. Their size, complexity, and sheer volume can make manual analysis overwhelming, especially…
In April, a webinar focused on memory leaks in Java revealed their impact on application performance, particularly in long-running systems. It explored common leak patterns, detection techniques, and solutions. Attendees gained insights into tools for diagnosing issues and actionable strategies for resolving memory leaks, enhancing JVM behavior and application stability.
The Java Virtual Machine (JVM) performance training program offers engineers essential troubleshooting skills for production issues, significantly reducing resolution time. Participants learn to optimize CPU, memory, and response times through hands-on labs and expert instruction. This course has propelled many engineers into higher roles. Offered remotely, it includes bonus DevOps tools and valuable resources.