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 →
This article compares the Garbage Collection (GC) performance of OpenJDK and GraalVM. GraalVM's concurrent, generational collector outperforms OpenJDK by exhibiting higher throughput (99.947%) and lower average pause times (450 ms vs. 2.5 secs). It concludes that GraalVM's GC mechanism is more efficient in managing memory, benefiting application performance.
The finalize method in Java, deprecated since Java 9, poses performance concerns by delaying garbage collection and increasing memory usage. Two-step cycles for objects with finalizers, like FinalizeableBigObject, slow down processes and can lead to OutOfMemoryErrors. Ultimately, efficient resource management should prioritize try-with-resources over finalizers to improve performance.
Parallel garbage collector (Parallel GC) optimizes Java applications by utilizing multiple threads for garbage collection, minimizing GC pauses. Ideal for high-throughput and batch-processing applications, it necessitates specific JVM tuning parameters, including heap size and pause-time goals. Ongoing monitoring and adjustments enhance performance and memory efficiency in JVM environments.
ZGC is a specialized garbage collector in Java, designed for large heap management and minimal pauses. It suits applications needing substantial memory and consistent response times. Key tuning parameters include heap size and concurrent GC threads, while techniques like enabling large pages and NUMA support optimize performance. Monitoring GC logs aids further tuning.
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.
ConFoo Montreal is a tech conference focusing on developer knowledge sharing. Architect Ram Lakshmanan presented on "Memory Patterns to predict production outages," discussing six unique memory patterns for predicting application outages and optimizing performance. The session included a video walkthrough and shared slides for attendees, enhancing the learning experience.
We appreciate Entwinkler.de JavaMagazin for translating and publishing our article ‘Simulating and troubleshooting deadlocks in Kotlin’ in German. It’s a privilege to see our work featured in a print magazine, specifically the December 2022 issue, under the title ‘Simulation und Fehlerbehebung von Deadlocks in Kotlin’.