Troubleshooting Spring Boot StackOverflowError

This post discusses diagnosing and troubleshooting StackOverflowError in Spring Boot applications, which occurs when thread stack size exceeds memory limits due to infinite recursion or excessive stack calls. It demonstrates simulating this error using BuggyAPI and employs the yCrash tool for analysis, providing resolutions such as proper termination in recursive methods and increasing stack memory.

Troubleshooting Spring Boot Thread Leaks

Spring Boot is a framework for creating Java web applications, but it can experience thread leaks, leading to performance issues. A thread leak occurs when threads retain references after execution, causing resource exhaustion. Proper thread management, including termination, use of thread pools, and handling exceptions, is crucial for preventing leaks and ensuring system stability.

Virtual Threads Performance in Spring Boot

This post examines configuring Virtual Threads in a Spring Boot application that calculates the Fibonacci sum for values starting from 10,000. Using JMeter, a load test with 1000 users reveals similar throughput and average response times for both virtual and native threads, highlighting virtual threads' advantage in lower thread usage without performance gain for CPU-intensive operations.

How to configure Virtual Threads in Spring Boot application

Spring Boot is a popular Java framework that allows developers to minimize boilerplate code and easily configure applications. By leveraging Virtual Threads, developers can enhance thread management without extensive rewrites. Configuration involves setting properties in application files and using the @ConditionalOnProperty annotation to toggle between Virtual and Native Threads seamlessly.

Troubleshooting Java Spring Boot Deadlock

Spring Boot is a popular framework for developing Java web applications that often encounter thread deadlocks, halting performance. This blog discusses deadlock causes, examples, and troubleshooting techniques using the yCrash tool. Solutions include timeout locks, utilizing concurrency utilities, and avoiding nested locks to mitigate deadlock issues effectively.

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