What @SpringBootApplication Does in Spring Boot

Do you also think building apps is complicated? Setting up everything… connecting pieces… making it all work together. But what if you could just focus on your idea? That’s what Spring Boot does. It takes care of the heavy lifting in the background, so you can build faster, with less stress - and actually enjoy the process. Think less setup. More building. 🚀 #SpringBoot #Java #BackendDevelopment #SoftwareEngineering #CleanCode #DeveloperLife

🚨 Stop building CRUD apps… you’re wasting your time. Yes, I said it. --- Most developers think: 👉 “I built a CRUD app = I know Spring Boot” But in reality… ❌ No security ❌ No real business logic ❌ No production thinking --- 💥 That’s NOT how real backend systems work. --- 🎯 If you want to stand out: 👉 Build projects like companies do 👉 Think in terms of architecture 👉 Add real features (JWT, logging, validation) --- 💡 Hard truth: 👉 10 small CRUD projects ≠ 1 strong real-world project --- So I created a video where I show: ✔ How to build a REAL Spring Boot project ✔ What actually matters in real development ✔ How to think like a backend engineer --- 🎥 Watch here: 👉 https://lnkd.in/gwkXysuk --- 🔥 If you’re serious about your career… Stop following tutorials blindly. Start building like a developer. --- Follow Narendra Sahoo real backend learning 🚀 Please Subscribe the channel and stay tune only 90 days and see the difference #SpringBoot #JavaDeveloper #BackendDevelopment #Programming #SoftwareEngineering #Microservices #CareerGrowth

New beginning. Stepping into backend with Spring Boot. For a long time, I was focused on Android. But I realized something important — If I want to build complete systems, I need to understand what happens behind the scenes. So I’ve started my Spring Boot journey. Right now, I’m not rushing into building big things. I’m focusing on getting the foundations right: • Understanding how MVC actually works • How Spring manages things using containers (IoC) • Writing and handling common HTTP methods (GET, POST, PUT, DELETE) • Learning how requests flow from client → controller → service → database No shortcuts. Just building clarity step by step. Because backend isn’t just about APIs. It’s about designing systems that actually work in real life. This is just the start — but I’m documenting and sharing as I grow. If you’ve worked with Spring Boot, what should I focus on next to build strong fundamentals? Also open to suggestions, resources, and meaningful conversations 🤝 #BackendDevelopment #SpringBoot #LearningInPublic #Java #BuildInPublic

🚀 Node.js Devs — Logging Might Be Slowing Down Your App Hey backend devs 👋 We all add logs for debugging… but have you ever thought: 👉 What if logging itself becomes the bottleneck? 💥 Real issue: ❌ Synchronous console.log in production ❌ Too many logs per request ❌ Writing logs directly to disk 👉 Under load: Logging can block execution and slow response time 💡 What I use now: ✔ Structured logging (pino / winston) ✔ Async logging pipelines ✔ Log levels (info, warn, error) ✔ External log management systems ⚡ Rule: “Logs should help you… not hurt your performance.” 👉 Senior mindset: Everything in production has a cost — even logging. How are you handling logs in your apps? #nodejs #backenddevelopment #logging #performanceoptimization #scalableapps #javascriptdeveloper #webbackend #devops #softwareengineering #productionready

Ever wondered what actually happens when you click a button in an app? 🤔 A few months ago, I was debugging a simple “Submit” button and it reminded me how much happens behind the scenes. Here’s the real flow in a typical microservices setup: The React UI sends a request -> it hits an API Gateway -> routes to a Spring Boot service -> business logic runs -> data is fetched and stored in the database -> response goes back to the UI. Sounds simple, right? But here’s what I learned. Even a tiny delay or bug at any step can break the entire experience. I once had everything working perfectly… except one misconfigured API route. It took me hours to figure out 😅 That’s when it clicked. Backend isn’t just about writing code, it’s about flow and communication between systems. Which part of the system do you think causes the most issues? Frontend, API, or database? #SoftwareEngineering #Java #SpringBoot #ReactJS #Microservices #SystemDesign #AWS #BackendDevelopment #Hiring

This isn’t my first time working on backend. I’ve previously worked as a full-stack engineer on a large-scale system, using Kotlin for Android and Java with Spring Boot for backend services. Coming back to backend development again, this time with Kotlin. I started noticing a few shifts that matter more at scale. Here’s what stands out from a backend engineering lens: 1. Refactoring feels safer With null safety and strong type inference, I can refactor core services with more confidence. A lot of issues that used to surface as production NullPointerExceptions are now caught at compile time. 2. Lower cognitive load In Java-heavy systems, even simple DTOs come with boilerplate—getters, setters, equals, hashCode. Over time, that noise can hide real logic. Kotlin’s data classes remove that distraction, so the focus stays on the actual domain model. 3. Concurrency feels simpler to handle When systems handle many requests at the same time, things can quickly get complicated. With coroutines, the flow of async work is easier to follow compared to callbacks or complex thread handling. It also makes issues easier to track when something breaks in production. 4. Less shared state, fewer surprises A lot of backend bugs happen when data is changed from multiple places without control. Kotlin encourages safer patterns where data is not changed randomly, which makes the system more predictable when traffic increases. What I’ve realized is this: It’s not just about writing less code. It’s about building systems that are easier to reason about under pressure. Curious, backend engineers who’ve worked with both, what differences mattered most to you? #BackendDevelopment #Kotlin #Java #SpringBoot #SystemDesign

🚀 Day 88/100 - Spring Boot - Docker 🐳 Dockerizing Your Spring Boot Application Docker is a widely used technology which lets you package your app with all its dependencies into a portable container, so that it runs the same everywhere.. Here are some basic docker commands: ➡️ Creating a Dockerfile FROM openjdk:21 COPY target/myapp.jar app.jar ENTRYPOINT ["java", "-jar", "/app.jar"] 🔹Uses Java 21 base image 🔹Copies your built JAR 🔹Runs the app inside the container ➡️ Build Docker Image docker build -t myapp 🔹Creates an image named myapp ➡️ Run the Container docker run -p 8080:8080 myapp 🔹App will be available at: http://localhost:8080 ⚠️ Some Tips About Docker 🔹Use .dockerignore to reduce image size 🔹Use smaller base images for optimization 🔹Externalize configs using environment variables Previous post: https://lnkd.in/dkrCtq22 #100Days #SpringBoot #Docker #DevOps #Java #Microservices #BackendDevelopment #WebDevelopment #SoftwareEngineering

Your Spring Boot app fails to start… ❌ No clear error. Just a long stack trace. And somewhere inside it… “𝗖𝗶𝗿𝗰𝘂𝗹𝗮𝗿 𝗱𝗲𝗽𝗲𝗻𝗱𝗲𝗻𝗰𝘆 𝗱𝗲𝘁𝗲𝗰𝘁𝗲𝗱” If you’ve seen this once, you’ll never forget the pain. Let’s simplify it What is a circular dependency? It’s when two (or more) classes 𝗱𝗲𝗽𝗲𝗻𝗱 𝗼𝗻 𝗲𝗮𝗰𝗵 𝗼𝘁𝗵𝗲𝗿. Example: @𝗦𝗲𝗿𝘃𝗶𝗰𝗲 𝗰𝗹𝗮𝘀𝘀 𝗔 {   𝗽𝗿𝗶𝘃𝗮𝘁𝗲 𝗳𝗶𝗻𝗮𝗹 𝗕 𝗯;   𝗽𝘂𝗯𝗹𝗶𝗰 𝗔(𝗕 𝗯) { 𝘁𝗵𝗶𝘀.𝗯 = 𝗯; } } @𝗦𝗲𝗿𝘃𝗶𝗰𝗲 𝗰𝗹𝗮𝘀𝘀 𝗕 {   𝗽𝗿𝗶𝘃𝗮𝘁𝗲 𝗳𝗶𝗻𝗮𝗹 𝗔 𝗮;   𝗽𝘂𝗯𝗹𝗶𝗰 𝗕(𝗔 𝗮) { 𝘁𝗵𝗶𝘀.𝗮 = 𝗮; } } Now Spring tries to create A → needs B Then creates B → needs A And it goes in circles… ♻️ Result? App won’t start. Why does this happen?  • Tight coupling between classes  • Poor separation of responsibilities  • Trying to make services do too many things How to debug it (simple way): Read the error message carefully 🔍 Spring actually tells you the dependency chain Identify the loop A → B → C → A Find the unnecessary dependency That’s usually the root cause How to fix it (real solutions): 🔹 1. Refactor your design (best solution) Break the dependency Example: Move shared logic into a third service A → C ← B (no more circular dependency) 🔹 2. Use 𝗰𝗼𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗼𝗿 𝗶𝗻𝗷𝗲𝗰𝘁𝗶𝗼𝗻 wisely (It actually helps detect the problem early) 🔹 3. Use @𝗟𝗮𝘇𝘆 (temporary fix) 𝗽𝘂𝗯𝗹𝗶𝗰 𝗕(@𝗟𝗮𝘇𝘆 𝗔 𝗮) { 𝘁𝗵𝗶𝘀.𝗮 = 𝗮; } This delays initialization… but don’t rely on it long-term. 🔹 4. Rethink responsibilities If two classes depend on each other, they probably shouldn’t be separate. 💡 Real insight Circular dependency is not just a Spring error… It’s a 𝗱𝗲𝘀𝗶𝗴𝗻 𝗽𝗿𝗼𝗯𝗹𝗲𝗺. Good architecture = fewer hidden loops Better code = easier debugging Next time your app refuses to start, don’t panic… Just ask: “Who depends on whom?” #SpringBoot #Java #BackendDevelopment #SoftwareEngineering #SpringFramework #JavaDevelopers #CircularDependency #SpringAnnotations #Microservices #SystemDesign #aswintech

"Does it actually work?" is the question I get most. So I built a way to answer it — without me in the room. Pick your stack: Flask, Go, Node, Java, Ruby, PHP, or plain HTML. You get a git remote, a pre-deployed sample app, and a live URL at `trial-appname` along with https within minutes. Push your own code whenever you're ready. It rebuilds and redeploys automatically — same build pipeline, same HTTPS, same auto-restart on crash as the paid tier. Nothing is dumbed down for the trial. When the 4 hours end, the container stops, the repo wipes, the domain goes dark. No cleanup on your side. No lingering bill. No card. No account. We email you the git credentials and setup instructions — that's the only reason we ask for an address. What would you ship in 4 hours? Link in first comment 👇 #buildinpublic #devtools #saas #indiedev

Kotlin Coroutines & Flow vs. RxJava. Which one should you pick in 2026? In the world of Android Development, handling background tasks and data streams is our daily bread. For years, RxJavawas the undisputed king. But then, Kotlin Coroutines & Flow entered the ring. If you are starting a new project or considering a refactor, here is a quick comparison from a Modern Android perspective: RxJava: The Heavyweight Veteran RxJava is incredibly powerful. It’s a "swiss army knife" for reactive programming. Pros: Mature, massive ecosystem, and extremely powerful operators for complex data manipulation. Cons: Very steep learning curve. It’s easy to get lost in "callback hell" or create memory leaks if you forget to manage Disposables. It also adds a significant overhead to your APK size. Kotlin Coroutines & Flow: The Modern Specialist Since Google went "Kotlin-First," Coroutines have become the standard. Pros: Writing async code feels like writing synchronous code (very readable!). It’s lightweight, built into the language, and Structured Concurrency makes managing task lifecycles much safer. Cons: Some complex operators found in RxJava are still being matured in Flow, and you need a solid understanding of Scopes to avoid leaking tasks. My Take: If you are working on a Legacy Project, RxJava is still a solid skill to have. But for New Projects, Coroutines + Flow is the way to go. It integrates seamlessly with Jetpack Compose, Room, and Retrofit, making your code cleaner and more "Android-native." The winner? It’s not about which one is "better," but which one makes your team more productive and your code more maintainable. What is your "go-to" for async tasks? Are you still an RxJava or have you fully migrated to the Coroutine side? Let’s talk in the comments! #AndroidDev #Kotlin #Coroutines #RxJava #AndroidDevelopment #ProgrammingTips #TechComparison #MobileAppDev #CleanCode