The webinar “What to Capture When It Breaks” focused on critical data collection during production incidents, showcasing 16 essential artifacts like GC logs and OS metrics. It emphasized a structured approach for root cause analysis, providing engineers with tools, guidelines, and real-world examples to enhance incident response and minimize downtime.
‘The Hidden Battle: Troubleshooting Issues in On-Prem Customer Deployments’ webinar
The recent webinar focused on troubleshooting performance issues in customer-managed, on-premise environments. Experts discussed challenges like limited visibility and communication delays, emphasizing the need for essential artifacts for diagnosis. Participants learned practical strategies, including automation workflows and effective communication techniques, to enhance resolution accuracy and reduce turnaround times.
‘Micro-Metrics Every Performance Engineer Should Validate Before Sign-Off’ webinar
The June webinar focused on performance testing, emphasizing the importance of micro-metrics like garbage collection behavior, object creation rates, and thread patterns. These critical indicators can reveal potential issues before they escalate. Participants learned strategies to enhance JVM performance validation and reduce post-deployment problems, highlighting that macro-metrics alone are insufficient.
Best Practices for Capturing the Micro-Metrics Labs Often Miss
To accurately forecast production performance issues, validating Micro-Metrics is essential. Key best practices include enabling Garbage Collection Logs, triggering 'yc-360 Script' midway and at the end of tests, and utilizing self-trigger M3 mode for endurance tests. Comparing new and previous baseline incident reports helps identify performance degradation trends effectively.
JPRIME 2025 – TROUBLESHOOTING JVM OUTAGES – 3 FORTUNE 500 CASE STUDIES
jPrime is a conference focused on Java and related technologies, organized by the Bulgarian Java User Group with support from major companies. Notable was a workshop by architect Ram Lakshmanan on "Troubleshooting JVM Outages," highlighting three case studies from Fortune 500 companies. A presentation deck was available at the event.
JAX MAINZ 2025 – TROUBLESHOOTING JVM OUTAGES – 3 FORTUNE 500 CASE STUDIES
Each May, JAX BY ENTWICKLER.DE hosts a five-day conference for Java and Software Architecture enthusiasts. This year, architect Ram Lakshmanan presented on troubleshooting JVM outages through three Fortune 500 case studies, providing insights into handling CPU spikes, OutOfMemory errors, and application unresponsiveness with expert techniques. Photos from the event are forthcoming.
‘Not So Common Memory Leaks & How to Fix Them?’ webinar
Missed our May webinar on Not So Common Memory Leaks in Java? We uncovered subtle yet serious memory issues—like thread local leaks, inner class traps, and framework-related memory retention—that often go undetected in Java applications. This session walked through advanced heap analysis, profiling techniques, and real-world fixes to help you tackle elusive leaks and boost performance.
Efficient Data Handling in Java 23: Compact Strings, Off-Heap Storage, Weak references and Zero-Copy Techniques
Java 23 introduces enhancements for efficient memory management, addressing the complexity of modern software. Key improvements include off-heap storage, zero-copy techniques, and compact strings. These innovations optimize memory usage and performance, enabling better handling of data without excessive garbage collection or wasted resources, ultimately streamlining Java applications for developers.
7 Micro-Metrics That Predict Production Outages in Performance Labs Webinar
We recently hosted a webinar on how micro-metrics can help detect performance issues before they cause outages. While traditional metrics often miss hidden problems, experts shared 7 key micro-metrics that can spot early signs of issues like memory leaks and CPU spikes. The session also covered real-world examples and practical tips for preventing performance failures.
Building JVM Troubleshooting AI-Assistant Using yCrash
Java applications often face performance issues that are challenging to diagnose manually. yCrash APIs, integrated with AI techniques like Retrieval-Augmented Generation (RAG), can automate JVM troubleshooting by analyzing JVM artifacts and providing detailed reports. By training a language model with rich domain-specific data, an intelligent assistant can enhance the process of resolving performance problems.
