Your model works in Jupyter. Congratulations. Now make it handle production traffic without having a melt down 🫠. Learn multi-stage builds, GPU configuration, and systematic debugging.
Managing Data & Multi-Container Environments
Wait, everything disappears when containers stop? Yup. But here’s how to save your models, persist your databases, and run complete data science stacks without losing your mind or your data.
Docker Fundamentals: What Every Data Professional Needs to Know
Before Docker: “Can you send me your requirements.txt?” “Which Python version are you using?” “What’s your CUDA version?”
Thank goodness for Docker!