JAX London is an annual conference for Java and Software Architecture enthusiasts held in October. In 2023, architect Ram Lakshmanan presented "7 JVM ARGUMENTS OF HIGHLY-EFFECTIVE APPLICATIONS," highlighting key JVM parameters for performance enhancement. The talk received a top rating of 5, surpassing the conference average of 4.2 and 4.54.
Every year in October, JAX London is the go-to event for Java and Software Architecture enthusiasts! It is a four-day conference for cutting-edge software engineers and enterprise-level professionals. This year, at JAX London’s 2023 conference, our architect Ram Lakshmanan was... Continue Reading →
Uber enhanced compute capacity efficiency by implementing Go GC tuning, saving 70K cores across 30 services. They used a self-referencing finalizer to reduce CPU overhead, achieving significant CPU utilization improvements, notably 65% in observability and 30% in Uber Eats. GC tuning is vital for memory management and optimizing application performance.
DevopsCon, held in Berlin, featured a talk on "16 ARTIFACTS TO CAPTURE WHEN YOUR CONTAINER APPLICATION IS IN TROUBLE." The session highlighted essential artifacts for diagnosing performance issues in container applications and shared tools for analysis. Attendees rated the conference highly, with speaker knowledge receiving a perfect score of 5.
coming soon
Coming soon
JAX London is an annual conference for Java and Software Architecture enthusiasts, taking place every October. In 2022, architect Ram Lakshmanan discussed the significant financial waste enterprises incur from ineffective garbage collection, emphasizing the importance of optimization for cost savings and enhanced customer experience.
The post discusses troubleshooting a 'java.lang.OutOfMemoryError: Metaspace' issue in a microservice application, which works initially but fails after a few hours. It details identifying memory leaks in the Metaspace region through garbage collection logs and heap dump analysis, ultimately resolving the issue by upgrading a problematic third-party library.
This post compares the performance of HashMap, Hashtable, and ConcurrentHashMap through practical examples. It recommends ConcurrentHashMap for its thread-safe implementation, despite being marginally slower than HashMap. Testing showed HashMap performed best, but was not thread-safe, while Hashtable was significantly slower due to its synchronization constraints.