How Azul's TAP Program optimizes JVM for cloud-native scaling

Java is great, however, python will get you more work on new projects. A few years ago, most open developer positions were java focused. Now the tide has turned and the majority of open positions are looking for python developers with essentially a matching set of python skills to the same java skills shown below. Learn FastAPI, python microservices, python sql/nosql access and one of the current UI/UX frameworks and you should fine for the time being.

🚀 Java Developer Roadmap (2025 Edition) 💻 If you’re still stuck at System.out.println(“Hello World”); — this one’s for you! 😎 🔥 Your 2025 Java Skill Map: 1️⃣ Core Java & OOP 2️⃣ Java 8–25 Features 3️⃣ Multithreading & Concurrency 4️⃣ Spring Boot 5️⃣ Microservices Architecture 6️⃣ Database (SQL & NoSQL) 7️⃣ System Design 8️⃣ Security (JWT, OAuth2) 9️⃣ DevOps & Cloud (Docker, K8s, AWS) 🔟 Testing & Code Quality 💡 Learn one skill at a time — even Java’s Garbage Collector takes it slow! 😂 #Java #SpringBoot #Microservices #SystemDesign #Developers #LearnJava #SoftwareEngineering #TechHumor #CareerGrowth

The REAL Spring Boot "Best Practices" You Aren't Reading About 🛠️ If your system is scaling to thousands of requests per second, you know @Service and basic Docker tips won't cut it. Enterprise-level maturity in Spring Boot happens deep inside the JVM. I detail the critical, senior-level practices that separate robust microservices from fragile ones. We move past theory and tackle: Dependency Control: How to achieve "hygiene" and prevent classpath chaos in large projects. Configuration Isolation: Architecting layered configs for clean, secure environments (Dev vs. Prod). Bean Lifecycle Optimization: Fine-tuning startup time and runtime performance. Resource Management: Taking explicit control of Thread Pools instead of relying on defaults. This is the code-level deep-dive for Java engineers ready to build truly scalable backend systems. Enterprise Spring Boot: Production Best Practices for Scale https://lnkd.in/dy8mYesu #SpringBoot #Java #Microservices #BackendEngineering #Scalability #JVM

🚀 Java Simplified — Master Backend Development with Ease! 💻☕ Are you a Java developer aiming to build scalable, production-ready applications faster? Or exploring how to confidently transition into modern backend frameworks? I just compiled a power-packed Java Backend guide that covers everything from: ✅ Core Java & OOP Concepts ✅ REST API Development with Spring Boot ✅ Authentication, Authorization & JWT ✅ Database Integration, JPA & Caching ✅ CI/CD, Docker, and Cloud Deployment … and much more! 🌍📦 #Java #SpringBoot #BackendDevelopment #Microservices #SpringSecurity #Docker #APIDevelopment #LearnToCode #TechCommunity #LinkedInLearning #OpenSource

🚀 Java Simplified — Master Backend Development with Ease! 💻☕ Are you a Java developer aiming to build scalable, production-ready applications faster? Or exploring how to confidently transition into modern backend frameworks? I just compiled a power-packed Java Backend guide that covers everything from: ✅ Core Java & OOP Concepts ✅ REST API Development with Spring Boot ✅ Authentication, Authorization & JWT ✅ Database Integration, JPA & Caching ✅ CI/CD, Docker, and Cloud Deployment … and much more! 🌍📦 #Java #SpringBoot #BackendDevelopment #Microservices #SpringSecurity #Docker #APIDevelopment #LearnToCode #TechCommunity #LinkedInLearning #OpenSource

🚀 Stop scrolling if you’re learning Java! Every Java developer dreams of building scalable, production-ready backends, but most get stuck jumping between tutorials without a clear roadmap. That’s why I’ve created a complete Spring Boot Backend Guide (PDF) to help you master real-world backend development step by step. Here’s everything you’ll learn inside the PDF : ✅ REST API development with Spring Boot ✅ Authentication & JWT ✅ Database integration (JPA, Hibernate, Caching) ✅ Docker, CI/CD & Cloud deployment Time to go from tutorials to real backend projects - this guide will show you how. #Java #SpringBoot #BackendDevelopment #Microservices #SpringSecurity #Docker #APIDevelopment #LearnToCode #TechCommunity #OpenSource

⚙️ Java Workflow — From Code to Deployment ☕ Every Java application follows a simple yet powerful workflow: 1️⃣ Code – Write logic using Java + Spring Boot for APIs or microservices. 2️⃣ Build – Use Maven/Gradle to compile, run unit tests, and package .jar or .war files. 3️⃣ Containerize – Create Docker images and configure with Kubernetes/OpenShift. 4️⃣ Deploy – Push to AWS/Azure/GCP, managed through CI/CD pipelines. 5️⃣ Monitor – Track performance with Datadog, ELK, or Prometheus/Grafana. From code commit → build → test → deploy → monitor — that’s the heart of a modern Java DevOps workflow! 🚀 #Java #SpringBoot #Microservices #DevOps #Kubernetes #AWS #CI/CD #FullStackDeveloper #CloudNative

Java Virtual Threads in Spring Boot microservices: Ready for prime time? 🤔 The promise of increased concurrency and reduced infrastructure costs with Project Loom's Virtual Threads is compelling for Spring Boot microservices. But, before you jump in, let's talk production adoption. **Benefits:** * **Higher Throughput:** Handle more requests concurrently without increasing hardware. * **Simplified Concurrency:** Easier code maintenance with a simpler concurrency model. * **Reduced Latency:** Potential reduction in latency due to efficient thread management. **Challenges:** * **Library Compatibility:** Ensure your dependencies (especially database drivers) are Virtual Thread-friendly. * **Monitoring & Debugging:** Adapting monitoring tools to effectively track Virtual Thread performance. * **Thread-Local Awareness:** Careful review of thread-local usage, as it can become a bottleneck. * **Blocking I/O:** Virtual Threads shine with non-blocking I/O; identify and address blocking calls. **Actionable Tip:** Start with a small, non-critical microservice and thoroughly test before wider adoption. What are your experiences with Virtual Threads? Share your thoughts and challenges in the comments! 👇 #Java #VirtualThreads #ProjectLoom #SpringBoot #Microservices #Concurrency #Performance #SoftwareEngineering #CloudNative #JavaDevelopment

Circuit Breaking in Java Microservices — Building Resilient Systems. In a microservices environment, one failing service can easily slow down or crash the entire system. To prevent this, the Circuit Breaker pattern plays a crucial role in maintaining stability and resilience. It works much like an electrical circuit breaker - when repeated failures are detected while communicating with a downstream service, the circuit “opens,” and further requests are blocked for a short period. If successful, the circuit closes again and normal operation resumes. Circuit breaking helps ensure that a single component failure does not cascade into a full system outage. In Java-based microservices, tools like Resilience4j and Spring Cloud Circuit Breaker (built on top of it) are widely used for implementing this pattern. These libraries also support additional resilience techniques like retries, rate limiting, bulkhead isolation, and fallback mechanisms. For instance, if a payment service becomes unavailable, the order service can respond gracefully with a fallback message like “Payment service is temporarily down, please try again later” instead of timing out. Circuit breaking, when combined with proper monitoring and alerting, is a foundational practice in building fault-tolerant, cloud-native Java applications. #Java #SpringBoot #Resilience4j #Microservices #CircuitBreaker #DistributedSystems #FaultTolerance #BackendDevelopment #CloudNative #SoftwareEngineering #C2C #C2H