Divya Pratap Singh’s Post

🚀 Mastering Spring Boot – Step by Step (Day 3) Most developers write code like this 👇 new PaymentService() Looks normal… right? But this is exactly what makes your code: ❌ Hard to test ❌ Tightly coupled ❌ Difficult to scale 💡 That’s where Dependency Injection comes in 👉 You don’t create objects 👉 Spring creates & injects them for you If you truly understand this concept, Spring Boot will start making actual sense 🚀 📌 I’ve explained everything visually in this carousel: • Problem without DI • Types of Injection • @Autowired, @Qualifier, @Primary • How Spring resolves dependencies 👉 Swipe through 👇 📌 About this series: Follow from Day 0 → Day X and you’ll build a strong backend foundation step by step 🔥 Next → Spring Boot vs Spring Framework #spring #springboot #java #backend #learninginpublic

I finally understood why companies love Spring Boot. At first it looked like "just another Java framework". After actually building a backend with it - it felt more like an ecosystem than a framework. You don't write configuration → Spring figures it out You don't manually manage objects → Spring injects them You don't worry about server setup → It runs instantly Instead of fighting the setup, I could focus on logic. That's when it clicked: Spring Boot isn't popular because it's easy... It's popular because it lets developers think about problems, not plumbing. Now backend architecture (Controller → Service → Repository) finally makes real sense to me. Next step: making it secure and production-ready #SpringBoot #Java

🥤 𝕊𝕡𝕣𝕚𝕟𝕘 𝕧𝕤 𝕊𝕡𝕣𝕚𝕟𝕘 𝔹𝕠𝕠𝕥 — 𝕋𝕙𝕚𝕟𝕜 𝕠𝕗 𝕚𝕥 𝕝𝕚𝕜𝕖 𝕥𝕙𝕚𝕤 When I first learned backend development, i thought Spring and Spring Boot were basically the same thing.. They’re not. And this small confusion can slow you down more than you think. Let’s simplify it 👇 : 🧰 𝗦𝗽𝗿𝗶𝗻𝗴 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 Gives you all the tools you need: Dependency injection. Configuration. Flexibility. Full control. 👉 But… you have to assemble everything yourself. ⚡ 𝗦𝗽𝗿𝗶𝗻𝗴 𝗕𝗼𝗼𝘁 Takes those same tools and says: “Let me set things up for you.” Auto-configuration. Embedded server. Minimal setup. Production-ready faster. 💡 𝐓𝐡𝐞 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐢𝐧 𝐨𝐧𝐞 𝐬𝐞𝐧𝐭𝐞𝐧𝐜𝐞: 👉 Spring = control. 👉 Spring Boot = speed. Now here’s what many developers miss: Using Spring Boot without understanding Spring is like using a machine.. without knowing how it works. It works fine — until something breaks. That’s why strong backend engineers: ✔️ Use Spring Boot for productivity. ✔️ Understand Spring for control. The goal is not to choose one over the other. It’s to use both — the right way. #Java #Spring #SpringBoot #BackendDevelopment #SoftwareEngineering #Microservices #Programming #JavaDeveloper

🚀 Day 20/100: Spring Boot From Zero to Production Topic: Custom Auto-Configuration We covered Auto-Configuration. We covered disabling it. But does it stop there? Nope. 👀 Spring Boot lets you build your own auto-configuration too. 🔧 But, How It Works? You create a @Configuration class and slap conditionals on it. Spring Boot only loads it if your conditions are met. Two most common ones: @ConditionalOnClass → Load only if a class exists on the classpath @ConditionalOnProperty → Load only if a property is set in application.properties 💡 See the code attached below. ⬇️ No DataSource on classpath? → Skipped entirely db.enabled=false? → Skipped entirely Bean already defined by user? → Your default is skipped ✅ 📌 Don't forget to register it In META-INF/spring/org.springframework.boot.autoconfigure.AutoConfiguration.imports: -> com.yourpackage.MyDataAutoConfiguration Without this, Spring Boot won't pick it up. Checkout the previous posts on Auto-Config & disabling it to better understand the sequence. See you in the next one! #Java #SpringBoot #SoftwareDevelopment #100DaysOfCode #Backend #AutoConfiguration

🚀 Most developers misuse Spring Boot like this… At first, everything works fine. But as the project grows… things start breaking, slowing down, and becoming hard to maintain 😓 Here are some common mistakes I’ve seen 👇 ❌ Using @Autowired everywhere → Makes code hard to test and tightly coupled ✅ Use constructor injection instead → Cleaner, testable, and recommended approach. ❌ No proper layering (Controller → Service → Repository) → Leads to messy and unstructured code ✅ Follow clean architecture principles → Keeps your code scalable and maintainable. ❌ Ignoring exception handling → Results in poor API responses and debugging issues ✅ Implement global exception handling (@ControllerAdvice) → Consistent and meaningful error responses. ❌ Putting all logic in one class → “God class” problem 😬 ✅ Break into small, focused components → Better readability and maintainability. ❌ No proper configuration management → Hardcoded values everywhere ✅ Use application.yml / profiles → Clean and environment-specific configs. 💡 Pro Tip: Spring Boot is powerful, but without structure, it quickly turns into a monolith that’s hard to manage. 🔥 Have you seen any of these issues in real projects? Or what’s the biggest mistake you’ve faced in Spring Boot? #SpringBoot #Java #Microservices #BackendDevelopment

I agree with you most Dev's use field injection which is not recommended . and also maintain a layered architecture which makes it less messier and easy to understand and if you wanna know more about java and springboot dm me i will send you a proper roadmap and fullstack project ideas using springboot

🚀 Most developers misuse Spring Boot like this… At first, everything works fine. But as the project grows… things start breaking, slowing down, and becoming hard to maintain 😓 Here are some common mistakes I’ve seen 👇 ❌ Using @Autowired everywhere → Makes code hard to test and tightly coupled ✅ Use constructor injection instead → Cleaner, testable, and recommended approach. ❌ No proper layering (Controller → Service → Repository) → Leads to messy and unstructured code ✅ Follow clean architecture principles → Keeps your code scalable and maintainable. ❌ Ignoring exception handling → Results in poor API responses and debugging issues ✅ Implement global exception handling (@ControllerAdvice) → Consistent and meaningful error responses. ❌ Putting all logic in one class → “God class” problem 😬 ✅ Break into small, focused components → Better readability and maintainability. ❌ No proper configuration management → Hardcoded values everywhere ✅ Use application.yml / profiles → Clean and environment-specific configs. 💡 Pro Tip: Spring Boot is powerful, but without structure, it quickly turns into a monolith that’s hard to manage. 🔥 Have you seen any of these issues in real projects? Or what’s the biggest mistake you’ve faced in Spring Boot? #SpringBoot #Java #Microservices #BackendDevelopment

🚀 What really happens when you run a Spring Boot application? Most developers use: 👉 SpringApplication.run(App.class, args); …but few understand what happens behind the scenes. Here’s a clear breakdown: 🔹 1. Bootstrapping Starts The JVM calls main(), and Spring Boot begins initialization. 🔹 2. Environment Setup Loads application.properties / application.yml, environment variables, and profiles. 🔹 3. ApplicationContext Creation Spring creates the IoC container to manage all beans. 🔹 4. Component Scanning Detects @Component, @Service, @Repository, @RestController and registers them. 🔹 5. Auto-Configuration Based on dependencies, Spring Boot configures components automatically (MVC, JPA, etc.). 🔹 6. Embedded Server Startup Starts embedded Apache Tomcat—no external installation needed. 🔹 7. DispatcherServlet Initialization Registers the front controller to handle all incoming HTTP requests. 🔹 8. Bean Initialization & Dependency Injection All beans are created and wired using DI. 🔹 9. Application Ready ✅ Your app is now ready to handle requests. 💡 Key Takeaway: SpringApplication.run() is not just a method—it bootstraps the entire application, sets up the container, auto-configures components, and starts the web server. #Java #SpringBoot #BackendDevelopment #Microservices #Programming #SoftwareEngineering #TechLearning

Most Spring Boot applications don’t fail because of bad code, they fail because of poor structure. I recently wrote a deep dive on how to set up a production-ready Spring Boot project from scratch, focusing on what actually matters when building systems meant to scale and survive real usage. In the article, I break down: • How to structure a Spring Boot project for long-term maintainability • The right set of dependencies (and what to avoid adding blindly) • Environment-based configuration using profiles and best practices for secrets management • Clean layered architecture (Controller → Service → Repository) • Global exception handling to keep APIs predictable and stable • Basic security setup and monitoring using Spring Actuator This is not about “getting an app to run”—it’s about building backend systems that are clean, secure, and ready for real-world traffic. If you’re working with Spring Boot or planning to build production APIs, this might help you avoid a lot of painful mistakes early on. Read the full article here: 👉 https://lnkd.in/dMbUywgP Would love to hear how you structure your Spring Boot projects in production. #java #softwareengineering #springboot

5 Spring Boot mistakes I made early in my career 1 Putting @Transactional on private methods It does nothing because Spring proxies only work on public methods 2 Forgetting @EnableScheduling Wrote a perfect @Scheduled task but it never ran because of one missing annotation 3 Using @Autowired on fields instead of constructors It works but makes testing harder and constructor injection is cleaner 4 Not setting connection pool limits Default pool size is small and production traffic crushed it 5 Returning null instead of Optional APIs returned null and frontend crashed but Optional makes intent clear All simple fixes but all took hours to debug What Spring Boot mistake taught you a lesson #Java #SpringBoot #BackendDevelopment #Microservices #Debugging