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.
The Java Concurrent Mark & Sweep (CMS) algorithm provides low-latency garbage collection, effective for applications with dynamic memory needs. Although deprecated in JDK 9 and removed in JDK 14, it can still be utilized in earlier versions. This post discusses tuning techniques, advanced options, and performance analysis for optimal results.
The post provides an overview of the Serial Garbage Collector (GC) tailored for smaller-scale applications, focusing on its simplicity and effectiveness. It details scenarios for its use, tuning parameters for enhanced performance, and tools for analyzing GC logs. By adjusting key parameters, developers can optimize the Serial GC for their applications.
The Spring Boot Buggy API is an open-source tool for simulating various performance issues like memory leaks and CPU spikes in applications. By testing these scenarios, developers can assess system resilience and evaluate performance monitoring tools. It allows easy invocation of specific problems to analyze system behavior and improve software robustness.
All modern applications connect with storage, such as a database or cache. Database connection leak is commonly observed in modern applications, which can result in connection leaks that can lead to production outages.
Many Java applications still use files for importing and exporting data. If the connections to these files are not properly managed, it can lead to a significant number of connections leaking, causing the application to slow down or even crash.
The Dell Boomi Core servers experienced a performance outage in the early morning at 4 a.m. Below are the symptoms observed: