Java Flight Recorder (JFR) allows for low-overhead profiling to identify performance issues like DB connection leaks. This occurs when applications fail to close database connections, exhausting limits and causing errors. The blog outlines how to simulate and analyze connection leaks using JFR data, providing methods for resolution, including proper resource management practices.
Analyzing & Troubleshooting Java Heavy I/O Using JFR
The blog discusses the Java Flight Recorder (JFR) and its role in profiling performance issues, specifically Heavy I/O, caused by excessive file read/write operations from multiple threads that exhaust disk capacity. It details the simulation of this issue, captures JFR data for analysis, and suggests solutions to mitigate Heavy I/O problems.
Bhupathi’s Surprise Groom Shower: Meet the BB Couple!
After two years, the team surprised Bhupathi with a wedding celebration. They planned meticulously, gathering details via secret agents, including his sister and fiancée. Despite delays and unexpected challenges, the event on August 17, 2026, was a success, leaving Bhupathi genuinely surprised and marking the transition from Single B to Double B.
Analyzing & Troubleshooting Blocked Threads Using JFR
Java Flight Recorder (JFR) helps identify performance issues like Blocked Threads, where one thread holds a lock indefinitely. This blog details how to simulate the problem, capture JFR data for analysis, and troubleshoot the issue using yCrash JFRPlayer. Solutions include reducing lock scope and avoiding long waits while holding locks.
Analyzing & Troubleshooting StackOverflowError Using JFR
Java Flight Recorder (JFR) enables low-overhead profiling within the JVM, capturing execution samples. This blog discusses StackOverflowError, typically caused by excessive recursion or cyclic class constructions. By simulating the error, we illustrate its causes and demonstrate JFR's use in troubleshooting. Solutions include adding termination conditions and converting recursion to iteration.
Analyzing & Troubleshooting Deadlock Using JFR
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.
Analyzing & Troubleshooting Thread Leak Using JFR
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.
“OQL for JVM Troubleshooting: Querying Heap Dumps Like a Database” Webinar
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 Flight Recorder (JFR): Complete Guide
Java Flight Recorder (JFR) is an integrated, low-overhead event-recording framework within the HotSpot JVM, capturing vital system events like CPU, memory, and garbage collection. This article outlines JFR's mechanisms, historical context, usage scenarios, and practical examples, illustrating its significance for performance diagnostics in production environments.
async-profiler Arguments Explained: A Practical Guide to Collecting the Right JFR Data
Choosing the correct arguments for asynchronous profiling with Java Flight Recorder (JFR) is crucial for obtaining relevant performance data. The guide highlights various profiling dimensions (CPU, memory allocation, lock contention) and explains how async-profiler effectively captures data without bias. Detailed command options, including event types and profiling duration, provide practical insights for effective usage and analysis.
