Docker Init for Java 26 Projects Simplified

"Dockerizing a Java 24 Project with Docker Init" is here! A guide to Dockerizing a Java 24 project using Docker Init, including creating a Dockerfile, docker-compose file, and adding a simple controller. Read it on the Git-Weekly website: https://lnkd.in/dwwM5uN7

Built DTOForge, a small Spring Boot tool that generates Java DTOs from JSON. Useful when integrating external APIs and you do not want to keep writing DTOs by hand. Supports: * Java records * Java classes * nested objects * arrays * optional Jackson annotations Source: `https://lnkd.in/eWEpUxPY Medium article: https://lnkd.in/eDmK-eVx #Java #SpringBoot #OpenSource #BackendDevelopment #APIIntegration

🚀 Containerizing Java Applications with Docker! 🚀 Today, I successfully created a Docker image for a Java Spring Boot application. Here’s a quick workflow that worked perfectly: Dockerfile Steps: 1️⃣ Use an official Java base image (openjdk:17-jdk) 2️⃣ Set the working directory (WORKDIR /app) 3️⃣ Copy pom.xml and the src/ folder into the container 4️⃣ Build the project inside Docker (mvn clean install -DskipTests) 5️⃣ Package the application as a .jar and expose the desired port 6️⃣ Define the entry point to run the Spring Boot app This approach ensures: ✅ Consistency across environments ✅ Faster deployments ✅ Easy scaling with container orchestration tools like Kubernetes 💡 Pro Tip: Always make your Docker image small and secure by using multi-stage builds and skipping unnecessary tests during build. Docker + Java = 🚀 Simplified DevOps and faster time-to-market! #Java #Docker #SpringBoot #DevOps #Microservices #CloudNative #Containerization #Kubernetes #JavaDeveloper #TechTips #SoftwareEngineering #Programming #BuildAutomation #CI_CD

🚀 The Evolution of Java (A Developer’s Lens) ⚡ Java 8 - The Game Changer (2014) Introduced lambda expressions and the Streams API, shifting Java toward a functional programming paradigm. This version significantly improved code readability and reduced boilerplate, enabling developers to write more expressive and efficient data-processing logic. It laid the foundation for modern Java development and is still widely used in enterprise systems. ⚡ Java 11 - The Enterprise Standard (2018) Marked as a Long-Term Support (LTS) release, Java 11 became the go-to version for production systems. It introduced the modern HttpClient API, improved garbage collection, and enhanced container awareness, making it highly suitable for cloud deployments and microservices architectures. ⚡ Java 17 - The Modern Standard (2021) Another LTS release that focused on cleaner and more maintainable code. Features like records reduced boilerplate for data models, while sealed classes improved control over inheritance. Combined with pattern matching enhancements, Java 17 made backend development more structured and robust. ⚡ Java 21 - The Future is Here (2023) A breakthrough release with Project Loom’s virtual threads, redefining concurrency in Java. It allows applications to handle massive numbers of lightweight threads efficiently, simplifying asynchronous programming and significantly improving scalability for high-throughput systems. 👉 The real question is: Are you still using Java, or are you leveraging modern Java? #Java #SoftwareEngineering #BackendDevelopment #Microservices #TechEvolution #Programming

Getting Java applications into Docker containers has become standard practice, but the path to creating official Docker images isn't straightforward. Frank Delporte gives you "a look behind the scenes" of how the Azul team brought Zulu JDK builds to Docker's official image library. The article covers the technical requirements, security considerations, and collaboration needed to achieve "Official Image" status. Read the full story: https://lnkd.in/eb999YH6 #Java #Docker #Containers #OpenJDK

💡 Most Java developers still think thread creation is just: new Thread().start(); But that mindset is already outdated. Java has quietly evolved… and with Virtual Threads (Project Loom), the entire concurrency model has changed 🚀 Here’s the real shift: 👉 Traditional Threads → Heavy, 1:1 OS mapping 👉 ExecutorService → Controlled, pooled execution 👉 Virtual Threads → Lightweight, scalable, millions possible 🔥 And the most powerful pattern today? 👉 Executors.newVirtualThreadPerTaskExecutor() You get: ✔ Clean architecture (task vs execution separation) ✔ Massive scalability ✔ Simple, readable code ✔ No thread pool tuning headaches 🧠 The biggest mindset change? 👉 Don’t change your business logic 👉 Just change how it executes Same Runnable. Different execution model. That’s how modern Java systems are built. 📌 I’ve broken this down with: ✔ Complete runnable examples ✔ Traditional vs Executor vs Virtual Threads ✔ Internal working (what JVM actually does) ✔ Real-world scenarios & pitfalls 👇 Read here: https://lnkd.in/e-vdH8Vc ⚠️ If you're building backend systems and not using virtual threads yet… you’re leaving serious performance on the table. #Java #VirtualThreads #ProjectLoom #Concurrency #BackendDevelopment #Multithreading

Using GitHub Copilot to generate your Java code? Here's a full comparison, with details and advices, on the best approaches: https://lnkd.in/e48uhQDh Feedback is highly welcome!!

🚀 Java Evolution: The Road to Java 26 Java isn't just evolving; it's accelerating. If you're still on Java 8 or 11, you're missing out on a decade of massive performance and developer experience wins. Here is the "Big Picture" from the standard of 2014 to the powerhouse of 2026: 🟢 Java 8 (The Pivot) • Lambdas & Streams: Functional programming became a first-class citizen. • Optional: A cleaner way to handle the 'null' problem. 🔵 Java 11 (The Modern Baseline) • var keyword: Local type inference for cleaner code. • New HTTP Client: Modern, asynchronous, and reactive. 🟣 Java 17 (The Clean Slate) • Sealed Classes & Records: Better data modeling and restricted hierarchies. • Text Blocks: Finally, readable multi-line strings for JSON/SQL. 🟠 Java 21 (The Concurrency Leap) • Virtual Threads (Project Loom): Scalability that rivals Go and Node.js. • Pattern Matching for Switch: Expressive, safe logic. 🔴 Java 25 — LTS (The Efficiency Master) • Compact Object Headers: Significant memory reduction across the JVM. • Flexible Constructor Bodies: Running logic before super(). • Scoped Values: A modern, safe alternative to ThreadLocal. ⚪ Java 26 (The Native & Edge Power) • HTTP/3 Support: Leveraging QUIC for ultra-low latency networking. • AOT Object Caching: Drastically faster startup and warm-up times. • G1 GC Improvements: Higher throughput by reducing synchronization overhead. 💡 The Takeaway: Java 25 is the current LTS (Long-Term Support) gold standard, but Java 26 shows where we are heading—near-instant startup and native-level performance. What version are you running in production? Is 2026 the year you finally move past Java 11? ☕️ #Java #SoftwareEngineering #Java26 #BackendDevelopment #JVM #Coding #ProgrammingLife

🚀 Evolution of Java — From OOP to Modern Scalable Systems Java didn’t just evolve… 👉 It transformed how we write, scale, and think about backend systems. 💡 Let’s take a quick journey through the most impactful versions: 🔹 Java 8 (2014) — LTS 👉 The turning point ✔️ Lambda Expressions ✔️ Streams API ✔️ Optional (goodbye NullPointerException 😅) ✔️ New Date & Time API 🔹 Java 11 (2018) — LTS 👉 Stability + modernization ✔️ New HttpClient API ✔️ String improvements (isBlank(), lines()) ✔️ var in lambda ✔️ Removed legacy modules → lighter JDK 🔹 Java 15 (2020) 👉 Developer productivity boost ✔️ Text Blocks (clean multi-line strings) ✔️ Sealed Classes (preview) ✔️ ZGC improvements (low latency apps) 🔹 Java 17 (2021) — LTS 👉 Enterprise-ready evolution ✔️ Sealed Classes (official) ✔️ Pattern Matching for instanceof ✔️ Improved switch (preview) ✔️ Better performance & security 🔹 Java 21 (2023) — LTS 👉 Game changer for scalability ✔️ Virtual Threads (Project Loom 🚀) ✔️ Pattern Matching for switch ✔️ Record Patterns ✔️ Sequenced Collections 🔹 Java 25 (2025) — LTS 👉 The future is being refined ✔️ Advanced concurrency improvements ✔️ Structured concurrency evolution ✔️ Performance & developer experience focus 🔥 What’s the real shift? 👉 From writing code ➡️ To building scalable, high-performance systems 💬 Ask yourself: Are you still coding like it’s Java 8… or leveraging the power of modern Java? 🚀 Which Java version (or feature) changed the way you code the most? #Java #Backend #SoftwareEngineering #Programming #SpringBoot #DevOps #Scalability #Tech

@From Manual Threads to Executor Framework — A Game Changer in Java Multithreading When I started learning multithreading, I used to create threads manually using new Thread(). At first, it looked simple… But as soon as I tried to scale it, problems started showing up……….  The Problem with Manual Threads • Creating too many threads → Memory overhead • No control over thread lifecycle • Difficult to manage concurrency • No reuse → Every task creates a new thread • Can easily crash the system under heavy load  In real-world systems like E-commerce, Banking, or Microservices, this approach simply doesn’t work. @The Solution: Executor Framework Instead of creating threads manually, Java provides the Executor Framework (from java.util.concurrent). It manages a thread pool internally and reuses threads efficiently.  Why ThreadPool? • Reuse threads instead of creating new ones • Better performance & resource utilization • Controlled concurrency • Easy task submission using submit() or execute()  @Types of Thread Pools (Executors) 1->Fixed Thread Pool (newFixedThreadPool) → Fixed number of threads → Best for controlled, stable workloads 2->Cached Thread Pool (newCachedThreadPool) → Creates threads as needed → Good for short-lived async tasks 3->Scheduled Thread Pool (newScheduledThreadPool) → Runs tasks with delay or periodically → Useful for cron jobs, monitoring 4->Single Thread Executor (newSingleThreadExecutor) → Only one thread → Ensures tasks execute sequentially 5->Work Stealing Pool (newWorkStealingPool) → Uses multiple queues → Threads “steal” tasks from others for better performance  @Key Takeaway If you're still using manual threads…  You're building for small scale  Executor Framework helps you build for production #Java #Multithreading #BackendDevelopment #SpringBoot #Microservices #Concurrency #SoftwareEngineering