The article compares VisualVM and yCrash JFRPlayer across CPU hotspots, memory growth, and thread contention using controlled Java Flight Recordings. VisualVM offers detailed, hands-on event and stack-trace exploration, while JFRPlayer provides automated summaries and recommendations. Both identify performance issues, but memory diagnoses require careful metric interpretation, source-code validation, and human judgment.
The webinar by Ram Lakshmanan from yCrash highlighted the challenges of identifying performance regressions in applications. By using comparative diagnostics and AI-assisted analysis, engineering teams can examine over 200 performance signals across application runs, enabling them to distinguish meaningful changes, uncover root causes, and validate optimizations efficiently.
The Node.js Production Troubleshooting Series addresses challenging production issues like 'Unhandled Rejection Storms' where unhandled promise rejections accumulate without noticeable performance impacts. The series guides developers through diagnosing these issues using tools like yCrash, simulating rejections, and identifying root causes, ultimately emphasizing proper error handling in code.
The Node.js Production Troubleshooting Series addresses Synchronous Block issues that can cause significant delays in application performance. This article lays out the causes, such as heavy synchronous tasks, and presents a method to diagnose the problem using yCrash. Solutions include replacing blocking calls with asynchronous alternatives and monitoring Event Loop Lag.
The Node.js Production Troubleshooting Series aims to simplify diagnosing production issues, particularly the 'RangeError: Maximum call stack size exceeded.' This error arises from unbounded recursion, leading to worker thread crashes. Utilizing yCrash diagnostics can identify root causes by analyzing performance data and guiding effective solutions, such as implementing base cases.
The article explores the analysis of server CPU spikes using four tools: JMC, VisualVM, async-profiler, and yCrash JFRPlayer. It emphasizes their unique approaches for identifying and investigating CPU load issues. The tools differ in usability, features, and best-use cases, but all facilitate effective performance troubleshooting in Java environments.
The Node.js Production Troubleshooting Series introduces a focus on diagnosing specific production issues, such as the 'Slow Client' problem. This occurs when clients send incomplete HTTP requests, leading to excessive open connections that consume server resources. The series provides practical solutions, including configuring timeouts and capping connections to mitigate resource depletion.
The Node.js Production Troubleshooting Series addresses production issues, particularly Promise leaks, which occur when Promises remain unresolved, leading to increased memory usage. This blog details causes, diagnostics using the yCrash tool, and steps to analyze and resolve such issues, emphasizing the importance of proper Promise management to prevent memory accumulation.
The Node.js Production Troubleshooting Series addresses difficult production issues like NextTick Starvation, where recursive process.nextTick() calls prevent the event loop from progressing, causing application freezes. This summary explores causes, simulation, and diagnostic analysis using tools like yCrash to identify and resolve performance problems, emphasizing limiting nextTick workloads.
The webinar by Ram Lakshmanan focuses on using Java Flight Recorder (JFR) and AI to identify subtle performance signals during testing, which may indicate future production issues. It emphasizes moving beyond high-level metrics to a detailed, signal-based approach for analyzing JVM behavior, thereby allowing early detection and resolution of potential performance problems.