yCrash Webinar Series: Mastering Java Performance

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: October 14, 2026
• Time: 8:30 AM PDT
• Duration: 30 Minutes

Title: 

Small Signals, Big Incidents: Catching Production Problems in the Performance Lab with JFR & AI

Description:

You run stress tests. You run endurance tests. Response times, throughput, CPU & memory all look healthy. Yet problems still surface in production. Most production problems don’t appear suddenly. Their early signals were already in the performance lab, just too small for broad metrics & static thresholds to catch. In this session, you will learn how to use JFR (Java Flight Recorder) to capture the micro metrics that reveal these signals. You will also see how AI can analyze JFR recordings, correlate signals & pinpoint deviations before they become production incidents.

Key Takeaways:

• Identify subtle performance signals in the lab that can indicate future production problems.
• Understand how JFR captures micro-level metrics that broad performance metrics may miss.
• Use JFR recordings to detect deviations in CPU, memory, threads, I/O, and other JVM activity.
• See how AI can correlate multiple signals to uncover potential issues earlier.
• Learn how to move from static thresholds to signal-based performance analysis.
• Join the live Q&A session with Ram Lakshmanan to discuss your questions and real-world performance challenges.

Speaker Bio

Previous Webinars