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.
The Node.js Production Troubleshooting Series addresses complex production issues, starting with the "Microtask Flood," which delays HTTP requests by continuously scheduling microtasks. This blog outlines the causes, simulation methods, and diagnostic tools like yCrash to identify the root cause, ultimately recommending strategies to manage and mitigate such issues effectively.
The Node.js Production Troubleshooting Series addresses common production issues like Event Listener Leaks. Such leaks occur when listeners are continuously added to an EventEmitter without removal, leading to excessive memory use and performance degradation. The series guides users through identifying, diagnosing, and troubleshooting these issues effectively.
The Node.js Production Troubleshooting Series addresses the 'JSON Spike' issue, where large JSON operations block the event loop, causing application freezes. This series will guide troubleshooting through diagnostics, simulation, and analysis. By using tools like yCrash, developers can identify causes and implement solutions to optimize performance and prevent recurrence.
The Node.js Production Troubleshooting Series addresses diagnosing production issues, particularly GC Thrashing, which can severely impact application latency. This issue stems from excessive garbage collection due to frequent short-lived object allocations. The article details causes, simulation methods, diagnostic tools, and offers solutions to reduce allocations and improve performance.