🚀 Excited to share my latest backend project — VideoTube! A production-ready YouTube-like REST API I built using: ⚡ Node.js + Express 🍃 MongoDB with aggregation pipelines 🔴 Redis caching for fast response times 🔌 Real-time notifications with Socket.IO ☁️ Cloudinary for video & image storage What I built beyond the basics: ✅ JWT auth with refresh token rotation ✅ Real-time WebSocket notifications for likes & subscriptions ✅ Redis-based unread notification counter ✅ Pagination on videos and comments ✅ Rate limiting on sensitive routes ✅ Self-notification prevention This project taught me a lot about how production backends actually work. GitHub link in comments 👇 #nodejs #mongodb #redis #backend #webdevelopment #javascript

🚀 I just shipped a full-stack real-time chat application and the debugging journey taught me more than building it did. Remember I said I will be adding more features. Yes, I have added more! Here's what I built: ✅ Public group chat with live presence ✅ Private one-on-one messaging between users ✅ JWT authentication with session persistence ✅ Typing indicators and message history ✅ Rate limiting to prevent spam The stack: NestJS + Socket.IO + PostgreSQL + Redis + vanilla JS frontend. But the part I'm most proud of isn't the features — it's the bugs I had to chase down to make private messaging actually work. Three that stood out: 🐛 Messages were saving to the DB with a null userId — because the gateway was passing user.id (a string) to a service that expected the full User object. One character fix, hours of debugging. 🐛 The recipient never received messages — because only the sender was joining the private Socket.IO room. The fix was using fetchSockets() to find the recipient's active socket and programmatically joining them to the room on the backend. 🐛 The frontend was sending a username string as recipientId instead of a UUID — so the socket lookup always returned null. Root cause: Redis was storing plain username strings in the presence set, not user objects. Fixed by adding a Redis hash map (user_id_map) to preserve the id ↔ username relationship. Real-time systems have a way of exposing every assumption you didn't know you were making. The code is on GitHub and the article is on medium— links in the comment. 👇 #NestJS #NodeJS #WebSockets #SocketIO #Redis #PostgreSQL #BackendDevelopment #SoftwareEngineering

Bridging the Gap Between Background Tasks and Real-Time UI I’ve been diving deep into asynchronous architecture lately, specifically solving a classic challenge: How do you keep the user engaged while a heavy, long-running process chugs away in the background? The solution I’m currently refining: Celery + Redis + WebSockets. 🛠️ In this setup, I’m using Redis as both the Broker and the Result Backend. Keeping the transport and the results in the same queue keeps the data flow centralized, low-latency, and incredibly fast. The Lifecycle: The Trigger: User kicks off a process via a WebSocket connection. The Hand-off: The task is instantly pushed to the Celery queue. The Execution: The worker handles the heavy lifting (data processing/analysis) without blocking the main event loop. The Feedback: Once finished, the result is stored in Redis and pushed back to the client via WebSockets for that "instant" feel. The Django Advantage  What’s been most impressive is how the Django community has evolved here. With the continued maturation of Django Channels and the community’s heavy push toward Asynchronous Server Gateway Interface (ASGI), building these real-time systems has become much more robust. The latest features and improved support for async/await patterns within the ecosystem make it easier than ever to bridge the gap between a traditional request-response framework and a modern, persistent-connection app. No more infinite spinning loaders—just smooth, scalable performance. 💻 #Django #Python #Celery #Redis #WebSockets #SystemDesign #BackendEngineering

How many times have you set up the same Next.js stack from scratch? Install ORM. Set up DB. Configure auth. Wire APIs. Repeat… again and again. I got tired of it — so I built a CLI to do it for me. Run one command → pick your stack → your full project is ready. Prisma or Drizzle? Postgres or MongoDB? NextAuth, Clerk, or JWT? tRPC, GraphQL, or REST? You choose. It scaffolds everything. No setup. No repetition. Just code. Still testing it, but planning to release it soon 👀 Would you use this? #NextJS #FullStack #DeveloperTools #OpenSource #Typescript

I reduced my Django API response time from ~900ms to 120ms 🚀 Here’s exactly what I changed 👇 1. Replaced unnecessary ".all()" queries with "select_related" & "prefetch_related" 2. Optimized serializers (removed nested over-fetching) 3. Added Redis caching for frequently hit endpoints 4. Reduced DB hits from ~18 queries → 4 queries Most developers think Django is slow. It’s not. Your queries are. 💡 Biggest lesson: Always check your SQL queries before blaming the framework. What’s the slowest API you’ve worked on?

Excited to share something I recently built as part of an interview assignment — a full-stack Goal Tracking application! 🎯 The project (https://lnkd.in/g4qQdDPp) is built on a Node.js + Express backend, MongoDB as the database, and a React frontend — all containerized and orchestrated using Docker. Here's what went into it: 🔐 User Authentication — JWT-based auth with bcrypt password hashing. Stateless sessions that keep the architecture clean and scalable from day one. 📋 Goal Management API — Full CRUD operations structured around RESTful principles, with a consistent response contract across every endpoint. 🏥 Health Monitoring — A dedicated /health endpoint to verify server and database status in real time. Something I now treat as a non-negotiable in any production-ready service. 🌐 CORS Configuration — Properly configured Cross-Origin Resource Sharing so the React frontend and Node backend communicate securely across different origins. 📦 Docker & Docker Compose — Wrote separate Dockerfiles for both the Node.js backend and the React frontend, then orchestrated all three services — frontend, backend, and MongoDB — using a single docker-compose.yml. One command to spin up the entire stack. That's the kind of developer experience that matters in real teams. 📄 API Documentation — Documented all endpoints using Postman, making the API immediately explorable and shareable with any team member without reading a single line of source code. 🧱 Industry-Standard Practices followed throughout: — MVC-inspired structure for clear separation of concerns — Environment-based configuration using dotenv — Centralized error handling middleware — Input validation at the API layer — Mongoose schemas with proper data modeling Building this end-to-end — from database design to containerized deployment — was a great exercise in thinking about systems holistically. Not just writing code that works, but code that scales, is maintainable, and is easy for any developer to pick up and run. Always learning. Always building. 🚀 #FullStack #NodeJS #React #MongoDB #Docker #DockerCompose #WebDevelopment #BackendDevelopment #SoftwareEngineering #OpenToWork

🏁 SocialPlus — The Complete Journey | Dev Log #Final 6 months ago I decided to stop following tutorials and build something real. Today SocialPlus is complete — a full production-style social media backend API built from scratch, documented every step of the way. Here's everything that shipped: ✅ Feature #1 — JWT Auth (Register + Login) ✅ Feature #2 — User Profiles (GET + UPDATE) ✅ Feature #3, 4, 5 — Posts, Follow, Likes & Comments ✅ Feature #6 — Real-Time Notifications (Hangfire + SignalR) ✅ Feature #7, 8, 9 — Search, Safety & Redis Feed Scaling 🛠️ The stack: .NET 10 · PostgreSQL · Redis · SignalR · Hangfire · Docker · Clean Architecture 📚 What I actually learned: Architecture is a contract — not just a folder structure. Every dependency decision was intentional. When something tried to break the rules, the compiler caught it. Patterns compound — cursor pagination, batch fetching, composite PKs. Learned once, applied everywhere. By feature 9 new features took hours not days. The database is your friend — PostgreSQL full-text search, GIN indexes, computed columns, check constraints. Let the DB do what it's built for. Async everything — background jobs, non-blocking requests, real-time delivery. The request thread does the minimum and returns fast. 🔗 Full series: 📌 Project kickoff 📌 Dev Log #1 — Auth 📌 Dev Log #2 — User Profiles 📌 Dev Log #3 — Social Graph 📌 Dev Log #4 — Notifications 📌 Dev Log #5 — Search, Safety & Redis 📂 Full source code: https://lnkd.in/en-DUmfX If you're a junior developer wondering what a real backend project looks like — this is it. Not a tutorial. Not a todo app. A complete system with auth, real-time features, background jobs, caching, and search. Next up: React frontend + refresh tokens + integration tests. Follow along — more projects coming. 🚀 #dotnet #csharp #aspnetcore #cleanarchitecture #redis #postgresql #signalr #hangfire #docker #backend #buildinpublic #100daysofcode #webapi #softwareengineering

🚀 Built My Developer Portfolio with FastAPI & MongoDB Atlas This project helped me practice building a **full-stack application** where projects are dynamically fetched from the database and visitors can send messages through a contact form. 🧩 Key Features • Dynamic project listing fetched from MongoDB Atlas • Contact form that stores messages in the database • Fast and lightweight backend using FastAPI • Clean and responsive UI 🛠 Tech Stack FastAPI | MongoDB Atlas | HTML | CSS | JavaScript | Jinja2 Building this project was a great learning experience in creating a **real-world backend with database integration**. 🔗 GitHub Repository https://lnkd.in/gAyUji7e 🔗 Live https://lnkd.in/gPjhMBXs Next, I’m planning to improve this project by: • Dockerizing the application • Adding CI/CD with GitHub Actions • Deploying it to the cloud I’d love to hear your feedback! 🚀 #FastAPI #Python #WebDevelopment #MongoDB #BackendDevelopment #PortfolioProject #LearningInPublic

Just published a new video in my Web Development Series 🚀 This time, I covered Mongoose Schemas & Models in a very simple and beginner-friendly way. If you're learning Node.js + MongoDB, this is a must-know concept because it helps you structure and validate your data properly. In this video, I explained: • What is a Schema • What is a Model • How they work together • How to create them in Mongoose Perfect for beginners starting backend development. Check it out here 👇 https://lnkd.in/gxEdVnDW #nodejs #mongodb #mongoose #backenddevelopment #webdevelopment #javascript #learnprogramming #jdcodebase