The webinar "JFR ❤️ AI: Ultimate Combo for Troubleshooting" featured Ram Lakshmanan demonstrating how Java Flight Recorder (JFR) can enhance performance troubleshooting through AI. By using semantic parsing to structure JFR data, engineers can efficiently identify root causes in complex Java applications, streamlining the analysis process significantly.
“OQL for JVM Troubleshooting: Querying Heap Dumps Like a Database” Webinar
Java heap dumps are crucial for troubleshooting memory issues in JVM applications. The recent yCrash webinar highlighted Object Query Language (OQL) as a powerful tool to analyze heap dumps efficiently through SQL-like queries. It discussed OQL's syntax, advanced features, and practical use cases for identifying memory leaks and optimizing performance.
‘Revolutionizing JFR Analysis with AI’ Webinar
Java Flight Recorder (JFR) captures essential Java application events but analyzing vast JFR recordings can be challenging. In a webinar, Ram Lakshmanan discusses how Deterministic AI enhances JFR analysis by converting complex data into structured facts, facilitating quicker and more accurate troubleshooting of JVM performance issues while ensuring data privacy.
‘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 →
Restoration Service: Rapid Recovery for Production Incidents
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“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.
