Java Flight Recorder (JFR) enables low-overhead profiling within the JVM, highlighting performance issues like deadlock. Deadlock occurs when threads wait indefinitely for each other to release resources. The blog discusses simulating deadlock, capturing JFR data for analysis using yCrash JFRPlayer, and suggests solutions, including consistent lock ordering and avoiding nested locks.
Java Flight Recorder (JFR) enables efficient profiling by capturing runtime execution in the JVM. The issue of Thread Leak arises when threads are created but not terminated, consuming memory and eventually leading to java.lang.OutOfMemoryError. This blog explores simulation of the problem, troubleshooting via JFR data, and potential fixes for the leak.
Java heap dumps are crucial for troubleshooting memory issues in JVM applications. The recent yCrash webinar highlighted Object Query Language (OQL) as a powerful tool to analyze heap dumps efficiently through SQL-like queries. It discussed OQL's syntax, advanced features, and practical use cases for identifying memory leaks and optimizing performance.
Java garbage collection (GC) operates silently, but when overloaded, it severely impacts Jenkins performance, causing build stalls and memory-related errors. By identifying symptoms such as slow builds and high CPU usage, admins can diagnose issues through GC logs and heap dumps. Proper tuning and monitoring can prevent and resolve GC problems efficiently.
Java Flight Recorder (JFR) enables low-overhead profiling to diagnose CPU spikes, which occur when threads excessively consume CPU resources, often due to infinite loops or inefficient code. This blog outlines causes, simulates the issue, captures JFR data, and analyzes it to identify performance bottlenecks, specifically within the CPUSpikerThread class.
Java Flight Recorder (JFR) is an integrated profiling tool in Oracle's JVM, recording vital events for performance analysis. The yCrash JFRPlayer enhances JFR data analysis through innovative features like patterns-based error detection, deterministic AI analysis, and a user-friendly web interface. It ensures data security, offers comprehensive reporting, and automates diagnostics for efficient troubleshooting.
In a recent webinar, experts discussed how AI can enhance application log analysis, addressing challenges in manual reviews amidst growing log volumes. Key topics included anomaly detection, error pattern identification, and event correlation across systems, all aimed at accelerating root cause analysis and improving incident response while maintaining engineering judgment.
Application logs are crucial for engineers to troubleshoot production incidents, but manual inspection is often inefficient. The 'yCrash Log' tool utilizes AI and ML to analyze and structure unfiltered log data, identify errors, and provide solutions, improving incident response time and system reliability. It enhances traditional log management by automating root cause analysis.
Java 25 has launched, introducing significant enhancements aimed at modernizing Java applications. A recent webinar featuring expert Michael Inden focused on practical features such as pattern matching, string templates, structured concurrency, and unnamed classes. Attendees gained hands-on experience and insights into adopting these changes for improved code quality and productivity.
This month’s webinar featured Josh Long, a renowned Java advocate, discussing Spring Boot 4.x and Java 25. He presented new capabilities like modular auto-configuration, built-in resilience, and modern authentication methods, emphasizing their impact on building scalable applications. The session provided valuable insights and practical demonstrations for developers preparing for future projects.