System Design

Learn by examples, not memorization — for long-term engineering growth Most engineers search for “best course for Java / Kafka / DevOps” . The real question should be: Which courses build thinking that still helps after 5–10 years? This blog is a discussion-driven roadmap , not a marketing list. Every recommendation below is chosen because it: Builds mental models Explains why systems behave the way they do Helps in service-based + product-based interviews Pays off in real production systems 🧠 First: How to Think About Learning (Important) Learning tech stacks without fundamentals is like: Buying power tools without understanding wood 🪚 Driving fast without knowing brakes 🛑 So the roadmap flows like this: Computer Science & Concurrency → how machines behave Java (Modern) → how code executes Spring, WebFlux, Kafka → how services communicate DevOps & Cloud → how software reaches users Data Science → how systems learn from data 1️⃣ Computer Science & Concurrency (The ...

  A blog that makes the choice crystal clear for both freshers and senior engineers The story: SkyHospital’s Java journey (and why “server choice” is never random) Meet SkyHospital — a product company building hospital software: Admin portal for hospital staff Doctor dashboard Patient appointment booking Billing & reports Notifications (email/SMS/WhatsApp) Eventually: multiple microservices They start small, then grow, and at each stage their “best server choice” changes. This is exactly how it happens in real life. Chapter 1 — The first release (Tomcat enters) SkyHospital’s first app is a single codebase: JSP pages for Admin UI Spring MVC controllers A couple of servlets and filters Simple SQLite database (for MVP) Packaged as a WAR file Deployment reality: The company has: 1 VM 1 admin who restarts services A release once a week Minimal monitoring The CTO says: “I want something stable that every Java engineer understands.” ✅ Why they choose Tomcat Tomcat is a servlet contai...