Our team has been delivering outstanding talks at conferences and leading quarterly training sessions for Java developers, SRE engineers, Performance QA engineers, and DevOps engineers. Over the past year, we’ve also been running a series of webinars, where our very own Ram Lakshmanan shared deep insights into Java performance and troubleshooting. We recently celebrated this journey in our Java Performance Webinars Milestone Blog.
Now, we’re excited to take this initiative to the next level. Moving forward, our monthly webinars will not only feature in-house expertise but also bring in renowned external speakers from the global Java community. These sessions are designed to deliver valuable techniques, best practices, and tools to help you optimize Java performance and solve complex troubleshooting challenges.
This blog category will keep you updated with details on upcoming events as well as recaps of past sessions. Stay tuned for expert insights, practical takeaways, and new learning opportunities every month!
Upcoming Webinar
- Date: July 15, 2026
- Time: 8:30 AM PST
- Duration: 30 minutes
Title:
Revolutionizing JFR Analysis with AI
Description:
Java Flight Recorder (JFR) provides unparalleled, low-overhead production insights, but analyzing its massive, multi-dimensional event files is a notorious bottleneck that easily overwhelms manual review and exceeds standard LLM context limits. This webinar introduces a revolutionary approach: JFR Analysis using Deterministic AI, which pairs a specialized programmatic parsing engine with generative AI to instantly translate complex event streams into verified, structured facts. By combining programmatic pattern recognition with AI-driven insights, this hybrid methodology eliminates hallucinations, protects data privacy, and scales effortlessly to handle massive recording files without context failures. Attendees will learn how this intelligent automation accelerates production troubleshooting, empowering teams to diagnose the exact root causes of JVM performance degradation, such as allocation bottlenecks, lock contention, erratic GC behavior, and I/O lag, with absolute confidence and speed.
Key Takeaways:
- The Scale Problem: Why raw JFR data breaks traditional LLMs and how Deterministic AI bypasses context limits.
- The Hybrid Approach: Combining programmatic event pattern recognition with AI-generated explanations for zero-hallucination diagnostics.
- Production Troubleshooting: How to rapidly surface hidden anomalies like memory leaks, erratic GC behavior, and thread starvation.
- Security & Efficiency: Best practices for analyzing deep JVM performance metrics without exposing sensitive data.
Speaker Bio
Ram Lakshmanan is the Architect of yCrash and the creator of industry-leading DevOps tools such as GCeasy, fastThread, and HeapHero. His expertise spans JVM performance engineering, production troubleshooting, garbage collection analysis, thread dump analysis, and memory diagnostics.
Applications architected by Ram power critical banking, travel, and commerce systems used by millions of people every day across North America. He also advises startups, Fortune 500 companies, and government organizations on solving complex production challenges and leveraging AI to accelerate root cause analysis and improve application reliability.