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: May 13, 2026
- Time: 8:30 AM PST
- Duration: 1 hour
Title:
GC Log Analysis using Deterministic AI
Description:
Garbage Collection (GC) logs are a goldmine of performance data, but they are notoriously difficult to parse at scale. While Generative AI offers a new way to interact with data, using it directly on raw logs leads to three major hurdles: hallucinations, context window limits, and security risks. In this webinar, we introduce a superior approach: Deterministic AI. By leveraging GCeasy’s proven analysis engine to extract verified facts before involving an LLM, we eliminate the ‘guesswork’ of standard AI.
Discover the future of JVM troubleshooting by combining the precision of deterministic logic with the intuition of Generative AI.
Key Takeaways:
- Why Generative AI struggles with raw GC logs (hallucinations, limits, risks)
- How Deterministic AI ensures 100% accuracy in analysis
- Converting raw GC logs into actionable root-cause insights instantly
- How to safely leverage AI without exposing sensitive production data
Speaker Bio
Ram Lakshmanan is the founder of popular DevOps tools GCeasy, fastThread, and HeapHero. His work powers large-scale applications used daily across banking and travel industries in North America.
He has architected systems serving millions of users, including a major banking platform used by one in three US households and a travel system handling a significant share of leisure bookings. Ram also advises startups, Fortune 500 companies, and government organisations on critical technology initiatives.