The post offers assistance to improve application performance by addressing traffic volume, scaling, availability, response time, and security concerns. The author provides an in-depth analysis of architecture and system components, culminating in a report detailing issues and tailored solutions, including architectural and code-level modifications.
Monitoring applications for performance and issues is crucial to prevent financial losses and protect your reputation. Thread dumps are useful for checking thread health and performance. You can capture thread dumps using simple console tools like kill -3, jstack, and jcmd. Desktop tools like fastThread, jconsole, VisualVM, and JDK Mission Control provide more user-friendly interfaces. These tools help in detailed analysis and offer historical tracking to improve your applications.
Detecting CPU spikes in a Java application is important for keeping it running smoothly. This can happen because of things like lots of calculations, user actions, other tasks running in the background, or code that could be made better. The post talks about fixing CPU spike issues in Dell Boomi servers and doing tests to make CPU spikes happen in Boomi using the buggyApp tool. It also mentions using performance monitoring tools for keeping an eye on performance and figuring out why problems happen.
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.
Discover the power of thread dumps in Android development. Learn what thread dumps are, how to capture them using commands like 'dumpsys thread' and 'jstack,' and uncover the insights they offer. Explore the effectiveness of 'fastThread,' a user-friendly tool that simplifies thread dump analysis, helping you identify performance issues, deadlocks, and more for a smoother... Continue Reading →
Everyone knows about what sorting is. There are so many computer algorithms that have emerged to support sorting. Some of the well-known algorithms are quick sort, heap sort, merge sort etc. All these sorting algorithms are working based on sequential sorting. Means, a single thread is used to perform the complete sorting operation. However, this... Continue Reading →
Laurentiu Spilca, a talented Java and Spring developer, authored "Troubleshooting Java," focusing on code investigation techniques to optimize and debug JVM applications. The book offers practical insights and real-world examples, including effective use of the yCrash-fastThread tool for analyzing thread dumps, quickly identifying issues like deadlocks to enhance Java app performance.
ConcurrentHashMap enhances multi-threaded applications by incorporating parallelism, introduced in Java 1.8. It allows tasks to be divided into subproblems solved concurrently, optimizing processes through the ForkJoinPool API. Parallelism can be controlled via a threshold, improving performance significantly with larger datasets while enabling efficient thread management.
Java virtual threads, introduced in JDK 19, enhance application availability, throughput, and memory efficiency. Unlike platform threads that remain allocated, virtual threads utilize operating system threads only during active processing. This feature leads to reduced memory consumption and improved performance, making it an efficient choice for threading in Java applications.
SRE engineers often restart applications without adequate data, complicating debugging efforts. The yCrash data script captures crucial 360-degree data, including garbage collection logs, thread dumps, and heap information. Additionally, tools like top, ps, netstat, and ping aid in monitoring and diagnosing system performance and network issues, facilitating better troubleshooting.
