Ronit Sharma’s Post

“Works on Dev bro 👍” — the most dangerous sentence in software engineering. Because Dev is basically: 👉 Open internet 👉 Zero restrictions 👉 Install anything anytime 👉 Debug like a hacker in a movie And then comes Production… especially those fancy colo servers 👀 Suddenly: ❌ No internet ❌ No “npm install” ❌ No calling random APIs ❌ No “let me just SSH and fix” Everything is like: 🔐 “Access denied” 🔐 “Raise a request” 🔐 “Get approval” 🔐 “Wait 2 days” Dev: “Let’s quickly push this change” Prod: “Did you attach 3 approvals, 2 documents, and your blood group?” And the best part? Your app in Dev: “Yeah I fetch data from 5 external services, download stuff at runtime, life is good 😎” Same app in Prod: 💀 “No internet bro” Lesson learned (the hard way): Production is not “Dev but bigger” It’s “Dev… but with trust issues and strict parents” If your app needs internet, dynamic installs, or “just trying something”… Production is gonna humble you real quick. #Developers #DevOps #RealityCheck #ProductionIssues #SoftwareLife

One mistake I made in production that I’ll never forget: I assumed a change was “safe”. It was a small update. No major logic changes. Everything worked perfectly in tests. So I deployed it. Minutes later, things started to break. → Increased error rates → Unexpected behavior in a critical flow → Rollback under pressure The issue? A side effect I didn’t consider, in a part of the system that wasn’t covered by tests. Since then, I’ve been much more careful about: ✔ Understanding the full impact of changes ✔ Respecting hidden dependencies in mature systems ✔ Improving observability before deploying ✔ Never assuming something is “too small to fail” Production doesn’t forgive assumptions. It rewards discipline. #Java #Backend #SoftwareEngineering #DevOps #Production #Learning

Backend development hasn't changed fundamentally in 10 years. The tools have evolved, but the principles are timeless. You still need to: → Handle concurrency properly → Design databases around your access patterns → Build APIs that don't leak implementation details → Plan for failure, not just success → Make operations observable Every scalable system I've seen shares one trait: boring, well-understood technology choices. The flashy stack that "scales infinitely" breaks in production in ways nobody has documented. The boring stack just works, and you can hire people who know it. My rule: use infrastructure that has a 10-year track record unless there's a compelling reason not to. What backend principle do you wish more developers followed? 👇 #Programming #Microservices #SystemDesign #APIDesign

Hot take: You don’t need 10 frameworks to be a great developer. You need: • Strong fundamentals • Problem-solving skills • Ability to debug under pressure Tools change. Thinking doesn’t. #softwareengineering #careergrowth #developers

🚨 “It Worked Fine in Testing… But Broke in Production.” This is where real backend learning starts. 💥 What I’ve been noticing recently: Most systems don’t fail because code is wrong. They fail because: 👉 We don’t think about real-world conditions ⚡ Example: An API works perfectly in testing. But in production: Multiple users hit it at the same time Database starts slowing down Partial failures start appearing ❌ What goes wrong? No transaction handling No concurrency control No understanding of data flow under load 🧠 What I’ve started focusing on: Instead of asking: 👉 “Does this work?” I now ask: 👉 “What happens when this is under pressure?” 💡 That shift changed everything: Thinking about transactions, not just queries Handling concurrent updates safely Designing APIs that don’t break under load 💻 Currently working on building backend systems that behave correctly in production — not just in testing 👉 What’s something that worked in dev but failed in production for you? #BackendDeveloper #JavaDeveloper #SpringBoot #SystemDesign #SoftwareEngineering #TechHiring #ProductionSystems

🚨 “It works on my machine” is not success. I learned this the hard way. Early in my backend journey, my APIs worked perfectly… locally. But in production 👇 ❌ Unexpected crashes ❌ Slow response times ❌ Logs missing when needed ❌ Hard to debug issues That’s when I realized: 👉 Writing code is just 50% of the job 👉 Making it reliable is the real skill What changed for me 👇 ✅ Proper error handling ✅ Structured logging ✅ Environment-based configs ✅ Basic monitoring setup ✅ Thinking beyond “it works” Now I focus on this: 💡 “Will this still work under real-world conditions?” That mindset changed everything. Still learning every day 🚀 What’s one production issue you’ve faced that taught you a lesson? #BackendDevelopment #Nodejs #SoftwareEngineering #DevOps #Programming #DeveloperLife #LearningInPublic

Most applications don’t fail because of missing features—they fail because of overlooked fundamentals. While working on a recent Node.js project, I revisited a key principle: scalable and reliable systems are built on disciplined engineering, not just functionality. From a practical standpoint, these are the areas that consistently make the difference: • Robust error handling — prevents silent failures and improves system resilience • Code clarity — maintainable code always outperforms “clever” implementations in the long run • Environment management — clean separation of config ensures safer deployments • Performance awareness — inefficient queries and blocking operations scale poorly • Observability — logging and monitoring are essential for debugging and production stability • Security fundamentals — input validation, authentication, and data protection are non-negotiable These aren’t advanced concepts—but neglecting them is often what separates fragile systems from production-grade applications. As developers grow, the focus should shift from “making it work” to “making it reliable, scalable, and maintainable.” What fundamental practice do you think developers underestimate the most? #NodeJS #SoftwareEngineering #BackendDevelopment #SystemDesign #Programming #DeveloperLife #TechLeadership #ScalableSystems #CodingBestPractices #DevCommunity #SoftwareDeveloper

Stop writing "clean code" Seriously. Not because clean code is bad. Because most developers confuse "clean" with "what feels nice to write right now." Real clean code is boring. Predictable. Even repetitive. The code that caused the fewest outages in my last project? A 400-line function. No abstraction. No cleverness. Just step-by-step logic anyone could debug at 2 AM. ❌ Clever abstraction → 3 junior devs afraid to touch it ✅ Boring clarity → 3 junior devs fixed a bug in 10 minutes We over-engineer to feel smart. Then we ship fragility. The hard truth: Maintainability is not beauty. It's the speed at which someone unlucky can safely change your code. Question (answer honestly): What's the most "embarrassingly simple" piece of code you've written that never broke? 👇 #softwareengineering #coding #developers #cleancode

"It works on my machine." 😅 The most famous (and slightly cursed) words in tech. Every developer has been there. You build a feature, test it locally, and it runs like a dream. Then you push it to production and everything breaks. 📉 Before Docker, the solution was literally "then we'll ship your machine." Nowadays, we have containers and CI/CD pipelines to save us. But the meme lives on because environment drift is a real, daily struggle for every software engineer. 💻 It’s not just about writing code. It’s about ensuring that code can survive in the wild. What’s your favorite DevOps "nightmare" turned meme? • Environment variables missing in prod? • That one hardcoded localhost URL? • The "quick fix" that broke the entire pipeline? Drop your best (or worst) stories below! 👇 #DevOps #SoftwareEngineering #TechHumor #ProgrammingLife #WebDevelopment 🚀