In modern enterprise Java applications, standard logging falls short in diagnosing JVM issues such as memory leaks and CPU spikes. Spring Boot Actuator facilitates the exposure of vital JVM metrics and application health through HTTP endpoints, providing developers with essential insights for monitoring performance, triggering alerts, and diagnosing production problems efficiently.
The article provides a practical guide on utilizing Spring AI for automation in corporate environments, emphasizing its evolution from an early-stage tool to a robust framework by 2025. It outlines the significance of LLMs, their limitations, and how Spring AI enables Java developers to create intelligent applications, enhancing efficiency and decision-making through automation.
Spring Boot, widely used for Java-based applications, often encounters Metaspace OutOfMemory issues due to high class metadata usage, leaked classes, and inadequate size configuration. Proper JVM adjustments, like increasing Metaspace size and optimizing class loading, alongside tools like yCrash for monitoring, can help troubleshoot and resolve these exceptions effectively.
The yCrash monitoring tool for Java Spring Boot applications introduces minimal overhead, with CPU usage averaging 0.05% and memory consumption consistently between 0.1% and 0.2%. This non-intrusive approach ensures no significant impact on production environments, making yCrash an ideal choice for continuous application monitoring without compromising performance.
This article talks about a common problem with Spring Boot applications: database connection leaks. These leaks happen when connections aren't closed properly, which can slow down the system or even cause it to crash. The article sheds some light on how one can find and fix these leaks by looking at errors and network metrics and also suggests solutions like try-with-resources and connection pools to stop leaks from happening in the first place.
This post explains how to diagnose CPU spike problems that surfaces in the Spring Boot applications.
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.
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.
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.
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.
