Subhomoy Sikdar’s Post

What’s new in Java 26 (for Developers) 🚀 Java 26 is here, and while it’s not an LTS release, it’s a very important one. This release isn’t about big flashy language changes. It’s about maturing what we already started and making Java more practical for real-world systems. 👉 I just published a hands-on guide with runnable examples: https://lnkd.in/esSjbMDH Here are a few highlights: • Pattern matching keeps evolving, now working more consistently across primitive types • Structured concurrency is getting very close to final, a big step for safer parallel code • Startup improvements with AOT caching now work across all GCs (including ZGC) • HTTP/3 support is now built into the Java HTTP client • New APIs for cryptography (PEM) and lazy initialization • Java is tightening immutability, “final” is about to really mean final #Java #Java26 #SoftwareEngineering

A very informative article about Java 26, written by Loiane Groner, one of the leading experts in the field; anyone interested in staying up-to-date should read it.

🚀 Java 26 is officially here — and it’s all about performance, modernization, and future-ready Java! Just went through the release notes, and while this isn’t a flashy release, it’s a solid engineering upgrade that improves how Java runs under the hood. 💡 Key highlights from Java 26: ⚡ Performance & JVM Improvements Ahead-of-Time Object Caching now works with any GC → faster startup & warmup 🌐 Modern Networking Native HTTP/3 support in the HttpClient API → better performance for modern web apps 🧹 Cleanup & Simplification Applet API finally removed (long overdue!) Steps toward stricter immutability with “final means final” changes 🧠 Language & Preview Features Primitive types in pattern matching (preview continues evolving) Structured concurrency & other previews moving forward ... 📌 What I like about this release: As someone working with Java, Spring Boot, and microservices, improvements like HTTP/3 and JVM optimizations can directly impact API performance and scalability. Excited to experiment with these changes in real projects 🚀 Have you tried Java 26 yet? #Java #Java26 #BackendDevelopment #Microservices #SpringBoot #JVM #SoftwareEngineering

🚀 Java Evolution: From Java 8 to Modern Java It’s impressive to see how Java has evolved — continuously improving developer productivity, performance, and scalability. 🔹 Java 8 – Lambdas, Streams & Optional (major shift towards functional style) 🔹 Java 11 – New HTTP Client & removal of legacy modules (LTS milestone) 🔹 Java 17 – Sealed classes, pattern matching (instanceof), text blocks 🔹 Java 21 – Virtual Threads (Project Loom) & pattern matching for switch 🔹 Future (Java 25+) – Continued focus on performance, scalability, and upcoming projects like Panama & Valhalla 💡 In modern microservices architecture, these improvements directly help in: * Writing cleaner and more maintainable code * Handling concurrency efficiently (Virtual Threads) * Building scalable backend systems 👉 The move towards lightweight concurrency with virtual threads is truly a game changer. Always exciting to adapting Java’s evolution! #Java #BackendDevelopment #Microservices #SoftwareEngineering #Java

The interesting timeout question is not whether a distributed system will hit deadlines. It will. The real question is what your code does next. Do you fail the whole response? Do you return partial data? Do you stop unfinished work cleanly, or let it keep running after the caller is already gone? That is what I wrote about in Part 2 of the structured concurrency series. In Java 21, `StructuredTaskScope` makes those choices much more explicit. You can model strict all-or-nothing timeouts, or return partial results when some sections are optional. The part I like is that cancellation and cleanup stop being scattered across the code. This post covers: - all-or-nothing timeout handling - partial results with explicit missing sections - why `joinUntil(...)` is only part of the design - why `scope.shutdown()` matters when returning early - what test cases are worth adding for timeout-sensitive endpoints Article: https://lnkd.in/gWCm5UzB #Java #StructuredConcurrency #ProjectLoom #Java21 #DistributedSystems #BackendEngineering

Java 26 just landed — and most developers haven't read the release notes yet. Here's what actually matters for backend developers. 🧵 Save this before you upgrade. ─── WHAT'S NOTABLE ─── → Structured Concurrency (continued preview) Finally maturing. Lets you treat a group of related tasks as a single unit of work — cleaner cancellation, better error handling, no more thread leak nightmares. → Scoped Values (continued preview) Think ThreadLocal — but immutable, safer, and works beautifully with Virtual Threads introduced in Java 21. Massive win for passing context through deep call stacks without polluting method signatures. → Stream Gatherers (now stable) Custom intermediate stream operations without hacking around the Streams API. Your pipelines just got significantly more expressive. → Primitive types in Generics (preview) List<int> instead of List<Integer>. Boxing overhead reduced. For high-throughput Java backends, this is a quiet performance improvement worth watching. ─── WHAT YOU SHOULD DO ─── □ Don't rush to upgrade production Java 26 is NOT an LTS release. Java 25 (LTS) is what you wait for. □ Do experiment locally Structured Concurrency + Virtual Threads together is the future of Java concurrency. Get comfortable now. □ Watch Stream Gatherers Custom collectors are about to get cleaner. Worth adding to your next Spring Boot project. Java isn't slowing down. It's evolving faster than it ever has. Which feature are you most excited about? 👇 #Java #Java26 #BackendDevelopment #JavaDeveloper #SpringBoot #SoftwareEngineering #Programming #JVM

JAVA 26 just dropped today! Not an LTS release — but packed with serious performance and JVM improvements that backend developers should care about. ⚡ Performance Upgrades (Real Impact) 🔹 Improved G1 Garbage Collector throughput → better app performance 🔹 Reduced JVM synchronization → faster execution 🔹 Ahead-of-Time (AOT) Object Caching → faster startup 🔹 Better memory & heap efficiency Java 26 improves garbage collection and introduces AOT caching to enhance startup time and runtime performance. 🧠 Modern Features 🔹 HTTP/3 support → faster network communication 🔹 Structured Concurrency (preview) → cleaner async code 🔹 Lazy Constants → optimized memory usage 🔹 Vector API (incubator) → better CPU performance Java 26 includes HTTP/3 support, structured concurrency, and vector API enhancements for modern workloads. 🧹 Platform Improvements 🔹 Removal of legacy Applet API → cleaner platform 🔹 Better handling of final fields (more strict & safe) 🔹 Support for modern cryptography 💡 What this means for developers 👉 Faster microservices 👉 Better scalability 👉 Improved cloud performance 👉 More efficient JVM execution Java is no longer just stable — it’s becoming faster, smarter, and future-ready. #Java #Java26 #BackendDevelopment #JVM #Programming #SoftwareEngineering

Surprised to see Java 26 already out 👀🚀 Feels like just yesterday we were discussing Java 21/25, and now JDK 26 is here. For reference : https://jdk.java.net/26/ This one isn’t about hype features, it’s more of a “silent upgrade” release. Not an LTS ⚠️ → so most production systems won’t switch yet. But still, some really interesting updates 👇 HTTP/3 support in HttpClient → faster, modern network communication. Structured Concurrency (preview) → cleaner parallel programming model. Primitive Pattern Matching evolving further → Java getting more expressive. AOT caching improvements → faster startup, better for microservices. Goodbye Applets 💀 → legacy cleanup continues. Stronger security rules → “final” now actually means final. Overall vibe? Less noise, more solid engineering. Not something you rush to adopt, but definitely something you should be aware of. Java is evolving fast… are we keeping up? 🤔 #Java #JDK26 #Backend #TechUpdate #SoftwareEngineering

🔐 **Java Concurrency Made Simple: `synchronized` vs `ReentrantLock`** When multiple threads try to access the same resource, things can go wrong very quickly 😅 That’s where **`synchronized`** and **`ReentrantLock`** come in. Let’s break it down in the simplest way 👇 --- ### 🧵 `synchronized` (The Simple Lock) Think of it like a **single key to a room** 🔑 * Only one thread can enter at a time * Others must wait outside * Easy to use and built into Java ```java synchronized void accessResource() { // only one thread at a time } ``` ✅ Best for: * Simple use cases * When you don’t need much control --- ### 🔄 `ReentrantLock` (The Smart Lock) Now imagine a **smart lock with extra features** 🚪 * You can try to enter without waiting * You can set a timeout ⏱️ * You can manually lock & unlock ```java ReentrantLock lock = new ReentrantLock(); lock.lock(); try { // critical section } finally { lock.unlock(); } ``` ✅ Best for: * Advanced control * Avoiding deadlocks * More flexible thread handling --- ### ⚖️ Quick Comparison * `synchronized` → Simple, automatic, less control * `ReentrantLock` → Flexible, powerful, more control --- 💡 **Final Thought:** Start with `synchronized` for clarity. Move to `ReentrantLock` when your application needs more control over threads. --- #Java #Multithreading #Concurrency #BackendDevelopment #SoftwareEngineering