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.
June 2, 2025
Performance engineers conduct stress tests before release, but issues may occur in production due to mismatched environments and lack of endurance testing. Monitoring Micro-Metrics alongside Macro-Metrics can reveal underlying problems, such as memory leaks and connection issues, ultimately preventing performance incidents and enhancing application stability.
May 30, 2025
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.
March 11, 2025
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.
February 17, 2025
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 →
February 17, 2025
Spring Boot, widely used for Java-based applications, often encounters Metaspace OutOfMemory issues due to high class metadata usage, leaked classes, and inadequate size configuration. Proper JVM adjustments, like increasing Metaspace size and optimizing class loading, alongside tools like yCrash for monitoring, can help troubleshoot and resolve these exceptions effectively.
December 25, 2024
