‘Deterministic AI for Java Thread Dump Analysis’ Webinar

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 when troubleshooting production incidents under time pressure. In this webinar, Ram Lakshmanan, Founder of fastThread... Continue Reading →

“GC Log Analysis Using Deterministic AI” webinar

GC logs are essential for JVM performance analysis, but their complexity complicates interpretation. In a recent webinar, Ram Lakshmanan discussed how Deterministic AI can refine GC log analysis, enhancing accuracy and safety while addressing the limitations of traditional AI methods. This approach enables faster, reliable insights for troubleshooting performance issues.

JAX MAINZ 2026 – JAVA NATIVE MEMORY LEAKS & HOW TO FIX THEM

Every May, JAX MAINZ hosts a five-day conference focused on Java and Software Architecture for professionals. This year, architect Ram Lakshmanan discussed "JAVA NATIVE MEMORY LEAKS & HOW TO FIX THEM," addressing the challenges of detecting native memory leaks in Java, providing tools and techniques to identify and resolve these issues effectively.

‘Troubleshooting .NET Production problems using AI’ Webinar

The session led by Ram Lakshmanan and Mahesh Devda focuses on utilizing AI to enhance troubleshooting in .NET applications. They emphasize that traditional methods are time-consuming and ineffective. AI-driven approaches streamline the diagnosis of production issues, improve resolution speed, and ultimately protect user experience, revenue, and trust.

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