Marcio M.’s Post

🚀Java 26 Released: Massive Impact. Have You Started Using It? 🤔 The latest release of Java focuses on what truly matters in production - performance, reliability, and scalability. 👇 🌐 HTTP/3 SUPPORT Use modern transport for faster service-to-service calls in microservices. e.g., HttpClient.newHttpClient().send(request, BodyHandlers.ofString()); BENEFIT 👉 Lower Latency APIs 🔒 STRONGER IMMUTABILITY Prevents unsafe modification of final fields, so avoids hidden bugs in large systems. e.g., final User user = new User("prod-safe"); // cannot be altered via reflection easily BENEFIT 👉 Safer Data Models ⚡ G1 GC OPTIMIZATION Improved garbage collection reduces pause times under high load. e.g., java -XX:+UseG1GC -Xms2g -Xmx2g App BENEFIT 👉 Better Throughput 🚀 AOT CACHING Preloads objects to reduce startup time & ideal for Kubernetes, autoscaling. e.g., java -XX:+UseAOTCache App BENEFIT 👉 Faster Startup in Containers 💬What do you think about Java 26 features? #Java26 #Java #JVM #BackendDevelopment #Performance #Microservices

New Foojay author Hector Ventura announces a fascinating project: "Floci: A High-Performance, GraalVM-Powered AWS Emulator." It isn't just another wrapper but built using a modern Java stack (JAX-RS, #Quarkus, Vert.x) and is compiled into a native binary using GraalVM. https://lnkd.in/e4JDJFSG

If you’ve spent years using Java, you’ve probably seen a specific "hack": using reflection to change a final field. Well, the party is officially over. 🛑 In the latest Inside Java Podcast (Episode 55), the team discussed JEP 500. Starting with JDK 26, Java is locking the door on final field mutation. What’s changing? In the past, you could use setAccessible(true) to force a new value into a final variable. Now, doing this will throw an IllegalAccessException. Why now? 1. Speed: When the JVM knows "final means final," it can optimize your code much better. 2. Safety: It prevents weird bugs where one thread sees the old value and another sees the new one. 3. Security: It strengthens the "trust" in Java's memory model. What should you do? • Stop the hacks: If your frameworks (dependency injection, serialization) rely on mutating finals, it's time to update them. • Embrace Records: Use record and "wither" methods to create modified copies of objects instead of changing them in place. • Constructors are king: Initialize everything at the start. Java is getting stricter, but it’s making our apps faster and more reliable in the process. 🚀 #Java #Programming #SoftwareDevelopment #JDK26 #CodingTips #Backend

🚀 Java 26 Is Here — And It’s More Important Than It Looks Java 26 just dropped, continuing the platform’s fast release cycle — and while it’s not an LTS release, it quietly pushes Java in a very strategic direction. Here’s what actually matters 👇 🔹 HTTP/3 Support Native support in the HTTP Client means faster, more efficient communication — a big win for modern APIs and distributed systems. 🔹 Performance Improvements Enhancements in garbage collection and object handling = better throughput and startup performance where it counts. 🔹 Structured Concurrency (Preview) Java continues to simplify multithreading — making concurrent code easier to write, reason about, and maintain. 🔹 Ongoing Language Evolution Pattern matching and other preview features are steadily shaping a more expressive Java. 🔹 Ecosystem Cleanup Legacy components like the Applet API are finally gone — making Java leaner and more secure. 💡 My Take: Java 26 isn’t about big headline features. It’s about strengthening the foundation — performance, concurrency, and modern protocols. That’s how mature ecosystems evolve. ⚖️ Should You Upgrade? ✔ Exploring new capabilities? → Try it ✔ Running production workloads? → Stay on LTS for now 🔥 Bottom Line: Java isn’t chasing trends — it’s building long-term reliability and scalability. And that’s why it’s still everywhere. #Java #Java26 #SoftwareEngineering #BackendDevelopment #JVM #TechTrends #Developers #CloudComputing #Microservices

Java 25 is out, and the "Infrastructure Gap" has widened significantly. I've realized that a "functional" app is only part of the equation. By 2026, a Senior Developer's true value will lie in Operational Efficiency. If you're still running Java as if it's 2018, you're missing out on potential savings. Here’s why the Spring Boot 4 + Java 25 stack is a game-changer for enterprise systems: - 70% Performance Gains (For Free): With JEP 519 (Compact Object Headers), Java 25 has reduced the memory overhead for objects by half. Benchmarks from Helidon and Spring Boot 4 show up to a 70% performance boost with no code changes. In a Kubernetes cluster, this translates to higher pod density and reduced AWS/Azure costs. - Virtual Threads are Finally "Mature": We've moved beyond the Project Loom hype. In 2026, Spring Boot 4 will make Virtual Threads the default. The reality is that one request equals one virtual thread. - We are now handling 7200 requests per minute on the same hardware that previously capped at 1800 requests per minute with standard platform threads. - Structured Concurrency: ThreadLocal is now considered legacy. Java 25’s Scoped Values and Structured Concurrency ensure that if one sub-task fails, everything is cleaned up, preventing leaks and "zombie" threads that can disrupt your on-call time. It's time to stop treating the JVM as a "black box." In 2026, the distinction between a "Junior" and a "Senior" developer will be knowing how to leverage AOT (Ahead-Of-Time) caching and Generational G1 GC to allow your microservices to scale to zero without incurring a "Cold Start" penalty. Are you still manually tuning thread pools, or have you fully transitioned #Java #SpringBoot4 #Java25 #Microservices #SoftwareArchitecture #CloudNative #SeniorDeveloper #SystemDesign #BackendEngineering #ProjectLoom #GraalVM #TechTrends2026

Java 26 dropped. No flashy syntax updates, but don’t let that fool you. This release is all about performance, reliability, and cleaning up long-standing issues. Here are 5 updates that actually matter: 🛑 “final” now truly means final For years, deep reflection could still mutate final fields. That loophole is now closed with strict runtime enforcement. Immutability finally means what it should. ⚡ Native HTTP/3 support The built-in HttpClient now supports HTTP/3. One small config change unlocks lower latency via QUIC and UDP. This is a real upgrade for microservices. 🚀 Free performance boost (G1 GC) Synchronization overhead in G1 has been reduced significantly. Translation: better throughput and faster processing with zero code changes. ☁️ Faster startup in cloud environments AOT object caching now works with any garbage collector. This cuts down warm-up time and pushes Java closer to near-instant startup in containers. 🪦 Applets are officially gone Long overdue. The Applet API has been removed, cleaning up legacy baggage and keeping the platform focused. This release won’t grab attention at first glance, but it delivers where it matters—performance, stability, and modern infrastructure support. Full breakdown (with code) coming soon. Which of these are you actually planning to use? #Java #JDK26 #SoftwareEngineering #BackendDevelopment #JavaDeveloper #C2C #Remote

Most teams today are running on Java 17 (LTS) — and for good reason. It’s stable, well-supported, and widely adopted across enterprise systems. But with Java 26 (March 2026) now available, it’s clear where the platform is heading. This isn’t about flashy new syntax. The shift is more subtle — and more important. Java 17 gave us better language design. Java 26 is focused on better system performance. ⸻ What’s new or evolving in Java 26? • Improved Garbage Collection (G1) for better latency and throughput • Early support for HTTP/3, enabling faster and more efficient network communication • Enhancements around AOT (Ahead-of-Time) optimizations, helping reduce startup time • Continued evolution of Vector API and concurrency features, supporting high-performance workloads • Stronger enforcement of code integrity and security constraints ⸻ What does this mean in practice? If you are building large-scale backend systems or microservices: • Startup time and memory efficiency are becoming more critical • Network performance (especially in distributed systems) is gaining importance • Applications are expected to handle more parallel workloads efficiently Java 26 is clearly moving in that direction. ⸻ A realistic perspective Most organizations will continue using Java 17 for production — because it’s LTS and stable. But engineers who start understanding newer Java versions early will be better prepared for: • Performance-focused system design • Modern runtime optimizations • AI and compute-heavy workloads ⸻ My takeaway The conversation is shifting from: “How do we write better code?” to “How does our system perform at scale?” ⸻ Curious to know — Are you still primarily working on Java 17, or have you started exploring newer versions? https://lnkd.in/gv2H-6Rh #java26 #java #softwareengineer

☕📘 JCP ACRONYMS MADE SIMPLE 🔸 TL;DR If Java governance vocabulary feels like alphabet soup, here is the simple picture: A feature idea often starts in the OpenJDK world, gets discussed and shaped, becomes part of the specification work, is implemented, tested for compliance, and finally ships in a JDK release. A simplified way to picture the lifecycle is: JCP → JEP → JSR → JLS → RI → TCK → JDK ➡️ JCP = the umbrella process ➡️ JEP = the feature proposal ➡️ JSR = the specification request ➡️ JLS = the language rules update ➡️ RI = the reference implementation ➡️ TCK = the compatibility test suite ➡️ JDK = the release developers actually use Not every feature follows this in a perfectly linear way, but as a learning map, it makes the whole ecosystem much easier to understand. ☕ 🔸 TAKEAWAYS ▪️ JCP is the big governance framework behind Java standards. ▪️ JEP is where many Java platform features are proposed and discussed. ▪️ JSR is the formal spec request inside the Java Community Process. ▪️ JLS defines what Java the language is allowed to do. ▪️ RI + TCK are what make a spec real and verifiable. ▪️ JDK is the final destination for developers: the thing you download, run, and code with. If you prepare for Java certifications or just want to sound less lost in architecture discussions, mastering these acronyms is a real cheat code. 🚀 #Java #JCP #OpenJDK #JEP #JSR #JLS #JDK #OracleCertifiedProfessional #OCP #JavaDeveloper #LearnJava #SoftwareEngineering Go further with Java certification: Java👇 https://bit.ly/javaOCP Spring👇 https://bit.ly/2v7222 SpringBook👇 https://bit.ly/springtify JavaBook👇 https://bit.ly/jroadmap

🚀 Understanding JVM Memory Areas + JVM Tuning in Kubernetes - Best Practices If you’re working with Java in production, especially inside Kubernetes containers, understanding JVM memory internals is non‑negotiable. 🧠 JVM Memory is broadly divided into: Heap (Young & Old Generation) Metaspace Thread Stacks Program Counter (PC) Register Native Memory (Direct Buffers, JNI, GC, etc.) 💡 Why this matters in Kubernetes? Because containers have memory limits, and the JVM does not automatically understand them unless configured properly. Wrong tuning = OOMKilled pods, GC storms, or wasted resources. ✅ JVM Tuning Best Practices for Kubernetes 1. Always Make JVM Container-Aware Modern JVMs (Java 11+) support containers, but be explicit: -XX:+UseContainerSupport 2. Size Heap Based on Container Memory -XX:MaxRAMPercentage=70 -XX:InitialRAMPercentage=50 3. Leave Headroom for Non-Heap Memory JVM uses memory beyond heap: Metaspace Thread stacks Direct buffers GC native memory Recomendation : Heap ≤ 70–75% of container memory 4. Use the Right Garbage Collector For most Kubernetes workloads: -XX:+UseG1GC 5. Tune Metaspace Explicitly -XX:MaxMetaspaceSize=256m 6. Each thread consumes stack memory. -Xss256k 7. Watch Out for OOMKilled vs Java OOM Java OOM → Heap or Metaspace issue OOMKilled → Container exceeded memory limit Found this helpful? Follow Tejsingh K. for more insights on Software Design, building scalable E-commerce applications, and mastering AWS. Let’s build better systems together! 🚀 #Java #JVM #Kubernetes #CloudNative #PerformanceEngineering #DevOps #Backend #Microservices

Quick update on my backend journey 👩💻 I’ve been revisiting one of my previous Java projects (originally built using core Java + command line) and evolving it into a full backend API using Spring Boot. This time, the focus is on reinforcing core backend concepts and applying them in a more production-oriented way: Moving from a console-based “menu” approach → to REST API endpoints Structuring the application using Controller → Service → Repository Working with a database layer (currently H2) while preparing to transition to PostgreSQL using Docker It’s been a great way to reconnect with the fundamentals while approaching them with a clearer understanding of how things fit together in real-world backend systems. #BackendDeveloper #JavaDeveloper #SpringBoot #APIDevelopment #SoftwareEngineering #CareerGrowth #LearningInPublic #PostgreSQL #Docker #WomenInTech