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: November 4, 2026
- Time: 8:00 AM PDT
- Duration: 30 Minutes
Title:
Detect Performance Regressions with 200+ Signals & AI
Description:
Your application performed well yesterday. Today, it’s slower. What changed? Was it increased GC activity, slower method execution, memory allocation, thread contention, network delays, or a surge in exceptions? Traditional monitoring can detect performance degradation, but pinpointing exactly what changed can be challenging.
In this webinar, you will learn how to compare 200+ performance signals across two application runs to identify hidden regressions and improvements. Through real-world examples and live demonstrations, you will see how comparative diagnostics and AI help you distinguish meaningful changes from noise, identify potential root causes, and validate performance optimizations.
Key Takeaways:
- Compare 200+ performance signals across two application runs to identify regressions and improvements.
- Identify changes in GC activity, method execution, memory allocation, thread contention, network I/O, and exceptions.
- Distinguish meaningful performance changes from normal variations and diagnostic noise.
- Use comparative diagnostics to narrow down potential root causes of performance regressions.
- Apply AI-assisted analysis to interpret performance differences and accelerate troubleshooting.
- Validate performance optimizations by comparing application behavior before and after changes.
- Join the live Q&A session with Ram Lakshmanan to discuss your questions and real-world performance challenges.
Speaker Bio
Ram Lakshmanan is an Architect at yCrash, specializing in Java application performance, JVM internals, and production troubleshooting. He focuses on helping engineering teams understand complex performance issues and identify the underlying causes of application slowdowns.
In this webinar, Ram will demonstrate how comparative diagnostics across 200+ performance signals, combined with AI-assisted analysis, can help teams detect performance regressions, investigate potential root causes, and validate performance improvements.