Workday, a leader in cloud ERP for Finance, HR, and planning, hosted a guest lecture by architect Ram Lakshmanan on February 21, 2019, at their Pleasanton, CA headquarters. The two-hour presentation on JVM performance engineering and troubleshooting was well-received by Workday's SRE and Performance engineers. Photographs from the event are included.
TD Bank, a leading Canadian bank, utilizes GCeasy, FastThread, and HeapHero products. Recently, Ram Lakshmanan, our architect, delivered a training session for their performance engineers in Toronto, focusing on a critical system review of a core application. The engineers showed enthusiasm and engaged actively during the training.
CloudBees, the leader in Jenkins CI/CD pipeline, has enhanced garbage collection performance utilizing GCeasy. Ryan Smith, a Sr. DevOps Engineer at CloudBees, shares insights from his experience optimizing garbage collection performance, highlighting the significance of these improvements for the industry.
Uber is facing significant performance issues due to increased traffic, including memory bottlenecks like long garbage collection pauses and memory leaks. Their engineering team shared insights on optimization strategies, employing tools like GCeasy to address problems. Notably, they identified a misconfigured thread causing excessive object creation through extensive manual analysis, highlighting the complexity of managing numerous threads.
Dsquare is a specialized FX trading boutique excelling in short-term trading, leveraging algorithmic models in the foreign exchange market with daily volumes over $3 trillion. Jad Sarmo discusses the development of their high-performance, low-latency Java trading application, addressing challenges and optimizations, including the use of GCeasy for garbage collection performance.
A major automobile manufacturer significantly enhanced its middleware platform by optimizing garbage collection performance, achieving a 49.46% reduction in overall response time from 1.88 seconds to 0.95 seconds. This improvement was attained solely through adjustments to garbage collection settings, eliminating the need for code refactoring or costly changes.
Uber successfully saved 70,000 cores across 30 critical services by optimizing Go's Garbage Collection (GC) through a semi-automated tuning mechanism. This effort resulted in significant CPU utilization improvements, notably 65% in observability services and 30% in Uber Eats. GC tuning is essential for efficient resource management and application performance.
The article discusses the impact of network delays on application performance and presents a method to simulate network lag using BuggyApp as a proxy server. It provides a sample program to introduce delays in server responses and explains manual and automated approaches to diagnose network issues. The article highlights the importance of addressing network performance problems in chaos engineering.
Discover how object pointers can enhance performance in Java programs. Learn about the JVM's object representation in memory and its impact on application performance.
This post helps you troubleshoot JVM deadlock issues in ServiceNow MID server environments. It also explains the causes of deadlocks and demonstrates how to simulate them using a sample Java program. It concludes by stressing the need to monitor and solve deadlocks for better performance.