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.
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.
The Performance QA team conducts regular performance tests in enterprise applications, focusing on macro metrics like CPU and memory utilization. However, these metrics alone can miss acute performance issues and hinder troubleshooting. Complementing them with nine micro metrics, such as GC behavior and thread states, can enhance performance visibility and prevent production problems.
Java is a popular programming language that powers several mission critical applications all over the world. In this post let's discuss some of the commonly confronted performance problems by Java applications and potential solutions to solve them. Video In this video, we explored the most common issues that impact Java applications in production environments. Our... Continue Reading →
In February, we held a webinar titled "Top 5 Java Performance Problems," led by architect Ram Lakshmanan. Key issues discussed included high CPU utilization, memory leaks, slow response times, thread contention, deadlocks, and garbage collection pauses. Attendees engaged in a Q&A session, and future webinars are planned for ongoing learning.
The webinar focused on diagnosing performance issues in complex applications using thread dumps. Participants learned nine expert tips for analyzing thread dumps to identify bottlenecks and troubleshoot real-time application problems. Resources, including a presentation deck and a forthcoming recording, will be available for further reference and team sharing.
The post highlights the author's passion for solving scalability, performance, and availability issues in applications. They address common problems like CPU overload, memory leaks, and unresponsiveness under increased traffic. With extensive experience, the author promises to resolve JVM-related issues swiftly, often within 2 business days or less.
DevopsCon, held in Berlin, featured a talk by our architect on "MAJOR OUTAGES IN MAJOR ENTERPRISES". The session analyzed outage artifacts and equipped attendees to troubleshoot various issues. The event received an excellent rating of 5 for talk quality and speaker knowledge, compared to the overall average of 3.84 and 4.22.
The Chicago Coder Conference featured 15 tracks and over 100 sessions across two days. Architect Ram Lakshmanan presented on Java Garbage Collection Logs, garnering positive feedback and engaging discussions. The presentation titled “How to Become a Garbage Collection (GC) Hero” received excellent reviews, as reflected in the speaker survey results.
GCeasy was ranked #6 in the ThoughtWorks Technology Radar at the 2017 Chicago Coder Conference, highlighting its value for developers and managers. The Radar evaluates current software trends and recommends tools, with GCeasy recognized for optimizing JVM and Android application memory usage among other notable technologies in the "Adopt" category.
