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.
This article discusses improving application performance by optimizing String memory usage in Java. It explains String allocation methods, the benefits of String.intern(), and introduces String deduplication during garbage collection. The analysis highlights trade-offs between space and time efficiency, urging careful consideration before implementing optimizations based on specific application needs and metrics.
JMeter is an open source load testing tool from the Apache foundation, allowing users to simulate load tests for websites. The setup involves downloading the binaries, configuring the application, and defining parameters such as user count and duration. After configuration, users can initiate load tests and visualize results through various graphical displays.
Spring Boot's migration from RestTemplate to WebClient enhances performance via concurrency and non-blocking I/O. However, it led to OutOfMemoryError due to insufficient direct buffer memory. By analyzing the application with yCrash and increasing the maximum direct memory size, the issue was resolved, allowing successful image uploads without crashes.
The content outlines the process of optimizing Boomi performance, focusing on setting up a testing environment using a Boomi Atom on MacBook Pro. It highlights the challenges of performance issues, particularly thread deadlocks in Java applications. The use of tools like yCrash for diagnostics and monitoring is emphasized for identifying and resolving bottlenecks.
OutOfMemoryErrors in applications occur when memory allocation fails. This article discusses effective practices for analyzing such errors, including automatic heap dumps and using JVM parameters. It highlights script usage for automatic actions upon encountering errors and emphasizes the importance of proactive monitoring and automated incident reporting to reduce application downtime.
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.
Micro-Metrics Monitoring (m3) by yCrash offers a non-intrusive approach to application performance monitoring, predicting performance issues before they emerge. By capturing detailed Micro-Metrics and utilizing Machine Learning for analysis, m3 enhances troubleshooting efficiency and root cause identification while integrating seamlessly with other tools, all at a cost-effective rate.
Shenandoah GC enhances Java applications by minimizing pause times through concurrent garbage collection and region-based memory management. It is ideal for low-latency and large heap applications, offering various tuning parameters and modes to optimize performance. Effective analysis of garbage collection logs allows developers to fine-tune Shenandoah for their specific needs.
Virtual Threads in Java, introduced in version 21, significantly enhance multi-threaded applications by reducing thread management overhead. This article explores their advantages over traditional platform threads through experimentation involving one million threads. Virtual Threads operate efficiently within heap memory, preventing OutOfMemoryError, and allow easier application scalability and performance improvements.