Virtual threads reduce the overhead of switching threads.The real benefits come in when there is bottlenecked by thread creation/destruction time or by the memory limitations of having thousands of threads at once.
A deep dive into debugging the #JVM and #Java 21's new "virtual threads" feature from my awesome #Netflix colleagues Vadim F., Mike Huang, Danny Thomas, and Martin Chalupa! https://lnkd.in/gpGKYafq
Suberb write up from #NetflixEng. It's essentially about virtual threads in #java. However, it also touches a point I keep thinking about these days: As the years go by; and basic JVM troubleshooting with jstack and IBM MAT is still the way to do.
#Java21 #VirtualThreads #NetflixEngineering #Microservices #Concurrency #PerformanceOptimization #SpringBoot #Tomcat #JVM #SoftwareDevelopment Java 21 Virtual Threads - Dude, Where’s My Lock? Getting real with virtual threads https://lnkd.in/g-UeWEDF
In this article from Deputy CTO @ Simon Ritter, JDK 21 with the new Virtual Thread feature combined with a JVM that delivers performance improvements, helps businesses increase their scalability. For developers this is a straightforward migration and doesn't require them to rewrite or recompile code. Read more here on the benefits of Virtual Threads. https://bit.ly/4aUrheU #Java #OpenJDK #Virtualthreads #java21 #JDK21 #JVM
Great post-mortem on a classic dead-lock problem encountered with #java virtual threads. Lesson learned: avoid `synchronized` blocks with VTs and use ReentrantLocks instead #concurrency #multithreading #virtualthreads
An incredible tale of how the bleeding edge in tech can harm production. In this post, the #Netflix engineering team talks about a pitfall of the newly introduced virtual threads in Java 21. To quote: “No locking/parking/waiting information is included in the jcmd-generated thread dumps. This is a limitation in Java 21 and will be addressed in the future releases.” The post is also an exemplary write up about methodically investigative debugging. A must read for anyone using #Java in production. https://lnkd.in/dzgXkqYj
Senior Data Engineer | Solution Architect | MLOps | Data Architect | Databricks | Kafka | Flink | Scala
#netflix #engineeringblog shows how to use newest #JVM features. #Java 21 Virtual Threads - Dude, Where’s My Lock? #netflix #JVM #performancetuning #distributedsystems #concurrentprogramming https://lnkd.in/dE5BsZhT
Interesting analysis of a deadlock problem with Virtual threads, new in #Java 21 https://lnkd.in/d499UvrT
Lock contention got you down? 🤯 Java 21 Virtual Threads is a game-changer for Concurrency and they can help you to save the day! Netflix is already seeing huge performance boosts in their microservices thanks to this new feature but be careful to the hidden traps. Want to know how? Check out this article: https://lnkd.in/gKtC-ePJ #java #java21 #virtualthreads #concurrency #performance #netflix
🚀 Exploring Virtual Threads in Java 21 at Netflix 🎬 In a recent blog post, Netflix shares insights on how adopting Virtual Threads in Java 21 enhances performance and concurrency across its microservices architecture. Virtual threads reduce the complexity of managing high-throughput applications by allowing lightweight concurrency. However, during deployment, the team encountered an issue where virtual threads, combined with SpringBoot 3 and Tomcat, led to intermittent timeouts. After thorough analysis, they discovered a deadlock scenario caused by thread management, offering valuable insights for future use of virtual threads. Read more for the full breakdown and solutions. 👇 #Netflix #Java21 #VirtualThreads #PerformanceOptimization
Immediate Joiner | Experienced Software Developer | Ex-OpenText | Skilled in Java FullStack
Multithreading is the secret sauce behind faster and more responsive software! 🚀 But what exactly is it? Multithreading is a technique where multiple threads (smaller units of a process) run simultaneously. It allows your program to handle multiple tasks concurrently, leading to a significant performance boost. 🛠 Real-life Example: Imagine you’re in a busy kitchen 🧑🍳. One chef is chopping veggies, while another is preparing the sauce. They’re both working on different parts of the same meal at the same time. Now, imagine how much longer it would take if there was only one chef doing all the tasks! Similarly, multithreading allows different parts of your program to work in parallel, making everything run smoother and faster. For example, one thread might be reading data from a file 📂 while another processes that data at the same time. The result? You get things done faster, and your system works more efficiently! ✨ Advantages of Multithreading: Speed: Tasks run faster because they're executed in parallel. Resource efficiency: It fully utilizes CPU cores. Responsiveness: Apps stay smooth and responsive even during heavy background tasks. Ready to dive deeper into the world of multithreading? Check out the full article :- https://lnkd.in/gvA2kirX #java #Multithreading #Multiprocessing #Parallelism #Concurrency #Programming