The blog post explains the StackOverFlowError in JVM, detailing its causes, particularly infinite recursive calls, and providing solutions like fixing code, increasing thread stack size using JVM arguments, and utilizing custom stack sizes for threads. Understanding thread stack mechanics is crucial for effective error management and prevention strategies.
The java.net.SocketInputStream.socketRead0() method reads data from remote applications, causing threads to block while waiting for responses. Frequent occurrences in thread dumps indicate potential availability issues. Solutions include setting appropriate timeout settings, validating network connectivity, collaborating with remote applications, and considering non-blocking HTTP clients to prevent prolonged thread blockage.
Continuous Integration/Continuous Deployment (CI/CD) is vital for software quality, yet issues like OutOfMemoryError can arise despite testing. To mitigate these, micrometrics such as Garbage Collection Throughput, Thread Count, and Wasted Memory should be monitored as indicators of performance problems. Proper integration of these metrics enhances reliability in production.
FastThread's REST APIs facilitate application monitoring by analyzing code quality during CI/CD, offering insights through JSON response elements. Key elements include 'problem' detection for alerts, 'graphURL' for visual reports, and metrics like thread count and thread states. Monitoring these can prevent performance issues in production environments.
Ram Lakshmanan, our Principle Architect, spoke at the AWS Gurus Meetup hosted by Intuit in the San Francisco Bay Area on May 30. He focused on teaching developers how to write memory-efficient code to reduce AWS costs. His presentation was titled 'Am I writing memory efficient code?'
The article discusses thread activity classification in WebLogic server, used by Oracle technologies. It details five classifications: STUCK threads work beyond the configured timeout, HOGGER threads are held by requests or exceed execution time, ACTIVE threads process requests, STANDBY threads wait to be activated, and IDLE threads have no assigned work.
The Call Stack Tree offers three key advantages: a simplified view for navigating complex thread dumps, performance optimization by identifying critical methods for improvement, and support for accurate smoke test suites that enhance application testing. These benefits streamline development and boost application efficiency by focusing on crucial execution paths.
Ram Lakshmanan's presentation at ConFoo Conference 2018 offers effective tools and techniques for quickly diagnosing CPU spikes and OutOfMemoryErrors. Attendees, including over 100 engineers, praised the presentation titled "Modern Engineer’s Troubleshooting Tools, Techniques, & Tricks" for its insights into troubleshooting complex application issues efficiently.
Identifying the critical code path is essential for performance optimization and creating accurate test suites. Less than 5% of code often accounts for over 90% of execution time, making its optimization key. Thread dumps help in pinpointing these paths by grouping stack traces, enabling targeted testing and improved application performance.