Java.lang.VirtualMachineError occurs when the Java virtual machine faces internal issues or resource limitations. This mechanism prevents application crashes. There are four types: OutOfMemoryError, StackOverflowError, InternalError, and UnknownError, each triggered by specific reasons. Understanding and diagnosing these errors with appropriate tools is essential for solutions.
This article provides a simplified troubleshooting strategy for diagnosing CPU spikes in cloud environments. It outlines a three-step process: identifying high CPU-consuming threads, capturing thread dumps, and analyzing the dumps to trace the problematic lines of code. The example illustrates how a non-terminating loop causes CPU spikes in an application.
To debug Java applications remotely, follow two steps: First, launch the JVM with remote debugging arguments, enabling remote access. Second, configure your IDE, such as Eclipse, to establish a connection with the remote server by entering project and connectivity details. Avoid keeping remote debugging enabled to maintain performance and security.
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 video explains the workings of a finalizer method, detailing how it can lead to OutOfMemoryError. It offers insights on identifying the root cause when the finalizer thread becomes stuck and provides troubleshooting tips using fastthread.io to resolve these issues effectively.
The "java.lang.OutOfMemoryError: unable to create new native thread" occurs when an application cannot create new threads due to memory constraints or exceeding operating system limits. Solutions include adjusting thread creation rates, increasing thread limits, allocating more memory, reducing heap space, minimizing processes, and managing thread stack size.
Thread dumps are essential for diagnosing various system issues, including CPU spikes and memory problems. The article outlines nine methods to capture thread dumps, such as using yCrash script, jstack, kill -3, JVisualVM, JMC, and jcmd, emphasizing that yCrash, jstack, kill -3, and jcmd are particularly effective and user-friendly.
I was surprised to witness the Java Executor behavior – which caused “java.lang.OutOfMemoryError: unable to create new native thread” in our application. I would like to share my surprise (i.e. problem) and resolution to it.
The application using DataStax's Java driver to connect with Apache Cassandra faced a 'java.lang.OutOfMemoryError' due to an excessive number of runnable threads, linked to the netty library. This issue arose when Cassandra ran out of space, highlighting the need for client applications to handle such scenarios more resiliently without resulting in OutOfMemoryError.