Django REST API for Project Management with JWT Auth and Task Processing

You don't need Node.js for real-time applications. This is the assumption I challenged when I required WebSocket support in a Django project. The common advice suggests adding a Node service for the real-time components, which introduces a second language, a second deployment pipeline, and an additional point of failure. Django Channels combined with Redis demonstrated that this approach is unnecessary. Here’s the setup: - Daphne replaces Gunicorn as the ASGI server, managing both HTTP and WebSocket on the same process. - ProtocolTypeRouter effectively splits traffic: HTTP requests are directed to Django, while WebSocket connections are handled by Channels consumers. - Redis acts as a message broker and serves as the channel layer, enabling pub/sub functionality across all connected consumers. - Consumers are async Python classes with methods like receive(), group_send(), and disconnect(). The outcome is that a message sent by one client reaches Redis, propagates to every consumer in the group, and connects with all clients, without leaving the Python ecosystem. No Node. No socket.io. No separate service to maintain. Everything operates within the same Docker container as the rest of the backend, utilizing the same codebase, deployments, and logs. Sometimes, the seemingly boring choice is actually the most intelligent one. #django #python #webdev #backend #software #architecture

This case study shows building a centralized multi-account AWS monitoring platform managing 25+ accounts using Python Boto3 to fetch resource configurations into MongoDB, with Flask API and Next.js frontend achieving $30k annual savings. More: https://ku.bz/LV7qH0CK1

You don't always need Redis. Here's a rate limiter I built in 40 lines of pure Python. No django-ratelimit. No external dependencies. Just a sliding window algorithm, a dictionary, and timestamps. The core idea: → Every request logs a timestamp against a client key → On each new request, prune anything older than your window → If the remaining count hits your limit — return 429 → Otherwise, log it and let it through That's the entire algorithm. I plugged it into Django middleware and a per-view decorator so you can control limits at both levels. I've used Redis-backed rate limiters in production. They're great when you need them. But for a personal project, an internal tool, or a lightweight API — this does the job without the infrastructure overhead. Full implementation + Django integration on my Medium. Also covers the one IP extraction detail that will silently break your limiter if you're behind a proxy — worth checking even if you're using a library. #Python #Django #BackendDevelopment #SoftwareEngineering #WebDevelopment

🧠 What Backend Development REALLY Means (Not Just Django) 📝 Everyone says “learn backend”… but what does that actually mean? Backend is NOT just writing APIs. It’s about: ✔ Handling business logic ✔ Managing data flow ✔ Ensuring performance under load ✔ Securing the system 🔑 What to Learn: 🔹 Python fundamentals (OOP, async basics) 🔹 Frameworks: Django / Flask / FastAPI 🔹 API design (REST principles) 🔹 Authentication (JWT, sessions) 🔹 Caching (Redis) 🔹 Background jobs (Celery) ⚠️ Reality Check: If your backend crashes with 100 users… you’re not a backend developer yet. 💡 Focus: Build systems, not CRUD apps. 🔖 #BackendDevelopment #Python #Django #FastAPI #SoftwareEngineering #APIs

Most Django developers think migrations are simple… until production goes down at midnight. I’ve seen migrations: • Lock massive tables • Break rolling deployments • Corrupt production data So I wrote a complete production guide on Django migrations 👇 In this carousel, I break down: • Zero-downtime migration strategy • Expand-contract pattern • Data migration best practices • Real production mistakes to avoid If you're working with Django in production, this is something you must understand deeply. Full article: https://lnkd.in/dKUjjs-7 If you found this useful, share it with your team 👇 #Django #Python #BackendDevelopment #WebDevelopment #SoftwareEngineering #FullStackDeveloper #Programming #Database #PostgreSQL #DevOps #SystemDesign #Coding #TechLeadership #Developers #LearnToCode

You can now write 'azd hooks' in Python, TypeScript and JavaScript! Since we shipped hooks in the Azure Developer CLI, they've been limited to Bash and PowerShell. That works for quick scripts, but it means wrapping Python and Node calls in shell scripts just to run them. Starting with azd 1.23.15, you can write hooks directly in Python, JavaScript, or TypeScript. Point to a .py file and azd creates a venv and installs your requirements.txt. Point to a .ts file and it runs via npx tsx with no compile step. I built a sample template showing all three languages in action. Blog: https://lnkd.in/gSQRzBGy Template: https://lnkd.in/g-6GKhKk

Currently Learning & Building with Django REST Framework I am currently working on building REST APIs using Django REST Framework as part of my learning journey in backend development. How API works with Django: • Client (browser/mobile) sends a request • API acts as a middle layer and forwards the request • Django backend processes the request using models • Data is fetched from the database • API converts the data into JSON format • JSON response is sent back to the client This helped me understand how APIs act as a bridge between frontend and backend in real-world applications. Sharing a simple visual (3D diagram) to explain the API flow in Django. #Django #RESTAPI #Python #BackendDevelopment #LearningJourney #WebDevelopment

I used to Just “Make Things Work”… Until I Didn’t Early in my journey, my goal was simple: Build APIs. Make them run. Done. But then I started asking different questions… -> What happens when 1,000 users hit this API at once? -> Why does the system slow down? -> How do real-world systems handle scale? That’s when things changed. I moved from just writing code to actually designing systems. I started working with: - Building REST APIs with proper routing, validation, and async handling using FastAPI, Flask, and Django - Implementing JWT-based authentication (access/refresh tokens, middleware, protected routes) - Containerizing services with Docker and managing PostgreSQL with optimized queries, indexing, and connection pooling - Handling real-world issues like API latency, database bottlenecks, and service reliability And more importantly… ⚡ I began understanding performance, scalability, and real-world challenges. Now, I don’t just build APIs. I think about how they behave under pressure. Still learning. Still improving. But the mindset shift made all the difference. #BackendDevelopment #SystemDesign #FastAPI #Docker #LearningJourney #python #django #redis #postgresql #backend #developer

Hooks are one of the most popular features in the Azure Developer CLI, and honestly it makes sense. Being able to run custom logic before provisioning or after deployment is incredibly useful for lots of software projects. Until now, hooks only supported Bash and PowerShell scripts. Not anymore. 😎 Now you can now write azd hooks in 🐍Python, 💛JavaScript, 🔵 TypeScript, and 🟪.NET. All the technical details you need are in the blog post! https://lnkd.in/g_eYsNak

Django 6.0 introduces a built-in task framework that replaces Celery entirely for InboxToKindle (https://inboxtokindle.com). This new approach eliminates the need for Redis, RabbitMQ, or a separate worker process, as tasks are now managed within PostgreSQL alongside other data. I have detailed how this framework operates in production, covering the pipeline, the self-rescheduling technique for periodic tasks, and when it may still be appropriate to use Celery. In summary, most Django projects require background tasks that function effectively. You can read more about it here: https://lnkd.in/eGWyjQ_U What is your current setup? Are you still using Celery, or have you explored lighter alternatives? #django #python #celery #webdevelopment #backend