Coming soon
“GC Log Analysis Using Deterministic AI” webinar
GC logs are essential for JVM performance analysis, but their complexity complicates interpretation. In a recent webinar, Ram Lakshmanan discussed how Deterministic AI can refine GC log analysis, enhancing accuracy and safety while addressing the limitations of traditional AI methods. This approach enables faster, reliable insights for troubleshooting performance issues.
JAX MAINZ 2026 – JAVA NATIVE MEMORY LEAKS & HOW TO FIX THEM
Every May, JAX MAINZ hosts a five-day conference focused on Java and Software Architecture for professionals. This year, architect Ram Lakshmanan discussed "JAVA NATIVE MEMORY LEAKS & HOW TO FIX THEM," addressing the challenges of detecting native memory leaks in Java, providing tools and techniques to identify and resolve these issues effectively.
JAX MAINZ 2026 – MACHINE LEARNING & MICROMETRICS TO FORECAST PRODUCTION PROBLEMS
Every May, JAX MAINZ hosts a five-day conference for Java and Software Architecture professionals. This year, architect Ram Lakshmanan presented on using machine learning and micro-metrics to forecast production issues. His approach highlights nine critical metrics, promoting proactive problem detection and effective root cause analysis through advanced observability techniques.
Java Day Conference in Historic, Beautiful, Overwhelming Istanbul!
The author reflects on a recent trip to Istanbul for the Java Day conference, noting the city's cultural richness and hospitality. He appreciates the conference's organization and speaker quality, shares memorable interactions, especially with his UI developer, Cagdas, and highlights unique aspects of Istanbul, from its vibrant atmosphere to its many cats.
JAVA DAY ISTANBUL 2026 – 3 CRITICAL JAVA PERFORMANCE ISSUES EVERY ENGINEER SHOULD KNOW
Java Day Istanbul is a prominent software conference in Türkiye, organized by the Istanbul Java User Group. It focuses on the latest Java technologies and networking opportunities for developers and tech companies. Architect Ram Lakshmanan shared insights on critical Java performance issues, offering practical solutions to common challenges.
‘Troubleshooting .NET Production problems using AI’ Webinar
The session led by Ram Lakshmanan and Mahesh Devda focuses on utilizing AI to enhance troubleshooting in .NET applications. They emphasize that traditional methods are time-consuming and ineffective. AI-driven approaches streamline the diagnosis of production issues, improve resolution speed, and ultimately protect user experience, revenue, and trust.
Troubleshooting .NET Production problems using AI
.NET powers many critical applications, but troubleshooting its production issues presents challenges. While observability tools identify problems, they often fail to uncover root causes. yCrash enhances troubleshooting by capturing 16 artifacts, predicting outages with micro-metrics, and utilizing advanced analysis to provide detailed insights for effective issue resolution.
“Production is Secure. Is Production Troubleshooting Secure?’ Webinar
Organizations focus on securing production environments but often neglect the security of troubleshooting processes. During incidents, diagnostic artifacts may contain sensitive data, risking exposure when moved across systems. A recent webinar by Ram Lakshmanan highlighted the importance of safeguarding these artifacts, offering strategies to enhance security while ensuring rapid incident recovery.
Production is Secure. Is Troubleshooting Process Secure?
Enterprises have invested heavily in cybersecurity, yet the production troubleshooting process still faces significant risks, including untrusted tools, data leakage, and unauthorized access to sensitive information. The yCrash solution addresses these gaps by securely managing troubleshooting artifacts, implementing robust authentication, and sanitizing data to ensure compliance and protect confidential information.