Software Design in Python - How to Tell If Your Code Is Actually Production-Ready

💡 Learn how to design great software in 7 steps: https://arjan.codes/designguide. Your code works locally: you’ve tested the endpoint, the numbers add up, and everything looks fine in the terminal. But is it really ready for production? In this video, I take a small FastAPI app that “just works” and walk you through the key steps to make it production-ready. You’ll learn how to add validation, logging, rate limiting, configuration management, proper database handling, error handling, deployment with Docker, and more. 🔥 GitHub Repository: https://git.arjan.codes/2025/production. 🎓 ArjanCodes Courses: https://www.arjancodes.com/courses. 💬 Join my Discord server: https://discord.arjan.codes. ⌨️ Keyboard I’m using: https://amzn.to/49YM97v. 🔖 Chapters: 0:00 Intro 0:46 What Does Production-Ready Actually Mean? 2:14 Step 1 – Use Proper Types (Decimal over float) 3:41 Step 2 – Validate Input 5:00 Step 3 – Extract Business Logic into a Service 9:56 Step 4 – Add Persistence (and Use It in the Service) 15:27 Step 5 – Add Health Check + Migrations 16:19 Step 6 – Defensive Programming + Error Handling 18:10 Step 7 – Configuration Management 19:17 Step 8 – Rate Limiting 20:50 Step 9 – Write Tests 22:24 Step 10 – Monitoring & Logging 23:12 Step 11 – Deployment (Docker + GitHub Actions) 23:58 Final Thoughts #arjancodes #softwaredesign #python