This post explores how threads in Kotlin enter a BLOCKED state when they cannot acquire a lock held by another thread. A sample program demonstrates this scenario with 10 threads attempting to access a synchronized method, causing 9 to be blocked. It also discusses diagnosing BLOCKED threads through manual and automated approaches.
This post discusses deadlock in multi-threaded applications, specifically in Kotlin. It defines deadlock and provides a practical example using trains on a single track. A sample Kotlin program illustrates how deadlock occurs between two threads. Troubleshooting deadlock involves capturing thread dumps and analyzing them with tools like yCrash for clearer insight.
To troubleshoot OutOfMemoryError, follow three steps: capture heap dump using JVM arguments to automate collection when errors occur, restart the application to maintain stability, and diagnose the problem using tools like Eclipse MAT or HeapHero for automated analysis. This approach can streamline the troubleshooting process significantly.
