End CRUD Boilerplate with GitHub Copilot for Java Developers

This is my first post here 🙂 I wanted to try something hands-on instead of just reading. So I took a simple Java program and tried to: run it using Docker then deploy it on a Kubernetes cluster (using Kind) It was confusing at first, especially things like: Java version mismatch (21 vs 17) Docker vs Kubernetes environments ImagePullBackOff errors But after debugging step by step, I finally got it running and was able to see logs from the pods. 💡 One thing that really made sense to me: Kubernetes doesn’t run containers directly — it manages them through Pods and keeps things in the desired state. It’s a small project, but it helped me understand how things actually work behind the scenes. Next, I’m planning to build a proper Spring Boot app and expose it so it can be accessed in a browser. 🔗 GitHub repo in comments #Docker #Kubernetes #DevOps #Java #LearningInPublic

🚀 Exploring VS Code Extensions – Built a Practical Java Utility While working on improving my development workflow, I created a custom VS Code extension that reduces repetitive coding in Java. 👉 Instead of manually writing classes, you can simply write: abc.print("Hello"); And the extension automatically generates the required Java class in real-time. 💡 Key Capabilities: Detects any .print() usage Dynamically creates the corresponding class Works instantly while editing Java files Helps reduce boilerplate code ⚙️ Tech Stack: TypeScript • VS Code Extension API • Java 📦 How to Use (Important): Since this is not published on the VS Code Marketplace, you can use it locally: Download the .vsix file from GitHub Open VS Code Press Ctrl + Shift + P Select Install from VSIX Choose the downloaded file Start using it in any .java file 🔗 GitHub Repository: (https://lnkd.in/dnj575B3) I’m continuously working on improving this and adding more features. Feedback and suggestions are always welcome! #Java #VSCode #DeveloperTools #TypeScript #Coding #SoftwareDevelopment #BuildInPublic

🚀 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

📘 Spring Notes – 4 Understanding Dependency Injection is one thing… Implementing it is where the real learning happens 💻 Today I worked on: ✔️ Setter vs Constructor Injection ✔️ Autowiring ✔️ Spring Bean Configuration (XML) Also pushed my practice code to GitHub: 👉 https://lnkd.in/gN-j5n3V Slowly building strong backend fundamentals 🚀 Follow for daily updates on my Spring journey. #Java #SpringBoot #Backend #Developers #Learning #TechJourney

Aspect-Oriented Programming (AOP) in Java/Spring AOP helps keep your code clean by separating cross-cutting concerns from your core business logic. Instead of repeating logic across multiple services, you can centralize it using aspects: - Logging - Security - Transactions - Performance monitoring * With AOP, your services stay focused on what really matters — business rules — while technical concerns are handled transparently. This leads to: Cleaner code Better maintainability Easier scalability A powerful approach for building robust and production-ready Spring Boot applications. #Java #SpringBoot #AOP #SoftwareArchitecture #CleanCode

Aspect-Oriented Programming (AOP) in Java/Spring AOP helps keep your code clean by separating cross-cutting concerns from your core business logic. Instead of repeating logic across multiple services, you can centralize it using aspects: - Logging - Security - Transactions - Performance monitoring * With AOP, your services stay focused on what really matters — business rules — while technical concerns are handled transparently. This leads to: Cleaner code Better maintainability Easier scalability A powerful approach for building robust and production-ready Spring Boot applications. #Java #SpringBoot #AOP #SoftwareArchitecture #CleanCode

🚀 Mastering Multithreading: 20 Concepts Every Developer Should Know If you're working with Java, Spring Boot, microservices, or backend systems, understanding multithreading is a game changer. I created this simple dark-theme cheat sheet covering the most important multithreading concepts: • Concurrency vs Parallelism • Processes vs Threads • Thread Lifecycle • Race Condition • Mutex & Semaphore • Condition Variables • Deadlock & Livelock • Reentrant Lock & Try-Lock • Producer-Consumer • Reader-Writer • Thread Pool • Blocking Queue • Thread-Safe Cache …and more. Why does this matter? Because high-performance applications are not just about writing code — they are about writing code that is safe, scalable, and efficient under load. A small mistake in multithreading can lead to: ❌ Race conditions ❌ Deadlocks ❌ Memory issues ❌ Poor performance But when used correctly, multithreading can make your applications significantly faster and more reliable. As someone exploring Java and Spring Boot deeply, I realized that understanding these concepts is essential before moving into advanced topics like executors, concurrent collections, schedulers, and distributed systems. Which multithreading concept do you find the most difficult to understand? #Java #Multithreading #Concurrency #Parallelism #SpringBoot #BackendDevelopment #SoftwareEngineering #JavaDeveloper #Programming #Threading #Microservices #Developer

Building RESTful APIs is a core skill for every Java developer. 🔹 Design clean and scalable APIs 🔹 Develop using Spring Boot 🔹 Handle HTTP methods effectively 🔹 Ensure security and performance Mastering RESTful APIs helps create robust and production-ready applications. #Java #RESTAPI #SpringBoot #JavaDeveloper #BackendDevelopment #FullStackDeveloper #WebDevelopment #Programming #SoftwareDevelopment

Debugging in Java taught me something unexpected: 👉 The issue is rarely where you think it is. Early on, I used to focus only on the line where the error appeared. But in real-world systems, especially microservices, the root cause is often somewhere else. It could be: ✔ A delayed API response ✔ A misconfigured environment variable ✔ A hidden edge case in another service Now, whenever I debug, I ask: “What chain of events led here?” 💡 Insight: Great developers don’t just fix errors — they trace systems. #Java #Debugging #SoftwareEngineering #BackendDevelopment #Microservices

Last week our Spring Boot service froze completely under load. No errors. No exceptions. Just requests piling up and users  seeing blank screens. Turns out it was thread pool exhaustion — one of the most  common production issues that looks nothing like what it is. I wrote a detailed breakdown of: → How we diagnosed it using thread dumps and Actuator metrics → Why adding timeouts was the immediate fix → How we properly solved it with async thread pool isolation → What to check in your own Spring Boot service right now Full article link in the comments 👇 If you are building Java microservices — this one is worth  bookmarking. #Java #SpringBoot #Backend #Microservices #SoftwareEngineering  #Programming #BackendDevelopment #TechBlog