Python Dockerized 2FA-Lite Microservice

As a #Python developer, there’s a lot more beyond writing code i.e. Isolation -> packaging -> publishing -> distribution. Still using PYTHONPATH and sys.path and calling it a package…? Is virtual environments your only packaging strategy…? Still zipping files and calling it distribution…? You are not alone — most of us have been there. #Python #PythonPackaging #PyPI #PreCommit #DevOps #SoftwareEngineering #CodeQuality #Docker #CI #CD #Ruff #uv

Docker tip that every Python developer should know: 🐳 Always use multi-stage builds for production Python images. Stage 1 (builder): Install all deps, compile extensions Stage 2 (runtime): Copy only what you need Result: My AI agent image went from 1.2GB to 180MB. Smaller images mean faster deploys and smaller attack surface. Bonus: combine with `uv` instead of pip for 10x faster dependency resolution. What Docker optimization has saved you the most time? #Docker #Python #DevOps #CloudNative #BackendDev

🚀 Self-Healing IT System (15s Demo) This system detects when a service (nginx) goes down and automatically fixes it using Python & Ansible. 💡 In real IT environments, this kind of automation helps reduce downtime and eliminates manual intervention. #Automation #DevOps #Python #Ansible #radwan_so

What is a Function? A function is a reusable block of code that performs a specific task. Instead of writing the same code repeatedly, we define a function once and call it whenever needed. Functions help make code organized, readable, and efficient. Key Components: Parameters – Inputs we provide to the function. Arguments – Actual values passed to the function. Return – The output the function gives back . #Programming #Coding #LearnToCode #JavaScript #Python #Functions #CodeTips #SoftwareDevelopment #DeveloperLife #TechLearning #CodingSkills #ProgrammingBasics #CleanCode #CodeSmart #TechTips

Writing code is not just about functionality—it’s about efficiency. Python’s join() method allows you to concatenate strings quickly, save memory, and keep your code readable. In our detailed guide, we cover: • Syntax and examples • Why it’s faster than using “+” • Common mistakes to avoid Full guide → BlueVPS.com/blog #python #devops #sysadmin #vps #servermanagement #cloudinfrastructure #pythoncommands #hosting #bluevps

🐍 Python Developer Nuggets — Day 17 Retries in APIs Why do APIs fail even when everything looks correct? Because failures happen… and your system doesn’t retry smartly. The problem: Request fails once and stops User sees an error Even though it might have worked on retry The solution: Retry the request Add delay between retries Limit number of retries request = call_api() # retried on failure What changes: First attempt → may fail Retry → succeeds Better user experience Fewer visible failures Don’t retry everything Retry only when: Retry when: Network issues Timeout Temporary failures Don’t retry when: Wrong input Validation errors Golden rule: Retry only when failure is temporary Retry turns small failures into success #Python #Django #BackendEngineering #SystemDesign #CleanCode #Performance #DeveloperTips

Python or Ruby? 🥊 I was just on a call with my classmates to pick the tech stack for our new project. Naturally, everyone was leaning towards Python. Then I showed them the "Ruby way," and the vibe shifted instantly. The absolute highlight of the demo? The deployment process using Kamal. ⏱ 66 seconds from running the command to the changes being live on the server. That is what a true Full Stack framework feels like. When your tools handle everything — from the backend and frontend to the infrastructure, you can finally focus on what matters: building the product. The choice is made. Time to build! 💎🚀 #RubyOnRails #KamalDeploy #WebDev #FullStack #Coding #SoftwareEngineering #TechStack #DeveloperExperience #BuildingInPublic

From ideas to APIs 🚀 Turning logic into scalable backend systems using Django. Clean code. Secure APIs. Real-world impact. Still learning. Still building. #Django #Python #DeveloperJourney