My talk @Devoxx took a deeper look at Virtual Threads in Java and explored the question how it is able to provide high scalability. The recording of the talk is now available on youtube. Do give it a try and as always remarks/questions are very welcome! 🙏
https://t.co/lcWNNdS3GB
#Concurrency bugs rarely fail loudly — they leak resources, stall requests, & waste CPU. @BalaRawool demonstrates how #StructuredConcurrency can short-circuit failures and keep workflows consistent in #SpringBoot.
Make your services more resilient: https://t.co/qPA2PoQxxd
#Java
HotSpot auto-vectorization can speed up #Java loops—but often doesn’t apply in real-world code. @BalaRawool explains how the #Vector API enables explicit #SIMD with predictable gains.
Learn how to turn scalar loops into portable SIMD code: https://t.co/nh3eYaEJML
#API#CPU
☕ Break time at #JCON2026! Curious what’s coming next?
📄 At 12:55, @parttimen3rd takes a closer look at Java’s evolution. In his article on Java 26, he reflects on how the platform changes — a perfect warm-up for his interactive quiz “Guess the Java Version”.
👉 https://t.co/G4uD1HP5dD
📄 At 13:30, @BalaRawool shows how Virtual Threads, Structured Concurrency, and Scoped Values come together in real-world Java apps with Project Loom. Want to go deeper? His article explores JVM performance with the Vector API — another key piece of modern Java.
👉 https://t.co/fqzo61vSr5
📄 At 14:30, @MarcoBelladelli looks at the future of data access in Java — using natural language to interact with your data.
👉 https://t.co/Zu06F1sSR5
💡 Great reads while you sip your coffee – and perfect conversation starters for the next hallway chat!
#JavaCommunity
Modern #CPUs support #SIMD, but many #Java apps don’t fully use it. @BalaRawool shows how the #Vector#API enables explicit SIMD beyond limited auto-vectorization on the #JVM, with portable fallback.
See how to write loops that actually vectorize:: https://t.co/nh3eYaEJML
HotSpot auto-vectorization can speed up #Java loops—but often doesn’t apply in real-world code. @BalaRawool explains how the #Vector API enables explicit #SIMD with predictable gains.
Learn how to turn scalar loops into portable SIMD code: https://t.co/nh3eYaEJML
#API#CPU
@Sharat_Chander@vilojona@Oracle That’s surprising! Sad to hear. But I’m sure you’ll find another equally amazing role in no time and I really hope you still stay part of the Java community!🤞
Due to personal reasons, I’ll not be able to join VoxxedDays Amsterdam. I’m really bummed to miss it as it is such a great conference! Though this was a last minute change, the organizers were very supportive and understanding! Thanks @VoxxedAmsterdam and see you all next time!🙏
How does #Java Vector API accelerate parallelizable computations?
I explored it in my new article (with an example):
Estimating value of pi (π) using Monte Carlo Simulation and Vector API
Read it here:
https://t.co/T2Bs0PqDsB
#Concurrency bugs rarely fail loudly — they leak resources, stall requests, & waste CPU. @BalaRawool demonstrates how #StructuredConcurrency can short-circuit failures and keep workflows consistent in #SpringBoot.
Make your services more resilient: https://t.co/qPA2PoQxxd
#Java
A fun “20 Questions” game using @SpringAICentral
https://t.co/AhbUbdqn2n
Features include:
* Integration with LLM
* ChatClient
* Prompt separation: system & user
* Memory for chat (MessageWindowChatMemory)
* Type-safe responses
* Spring Retry integration (for invalid responses)
I’ll be speaking at @Jfokus 2026 about Project Loom. ☕️ 🧵There are so many awesome speakers and so many amazing talks/ workshops. 🧑💻👩💻 And only last few tickets left, so please hurry up and get yours at: https://t.co/iRhkfieYwp
Happy to share that I’m in the Top 3% of the most active speakers on https://t.co/v9SQbDsfZ2 for 2025! 🤩
A huge thank‑you to the conference organizers who put their trust in me, the audiences who showed so much love, and the amazing #Java community that keeps inspiring!🙏