Running an AI agent in production takes far more infrastructure than the agent itself — containers, orchestration, and everything around them. I want to understand the whole layer, starting from basics. Docker First, then Kubernetes and many more as I learn. So, I am starting a weekly series, relearning it properly and consolidating what I learn along the way — the concepts, the exercises, and the small confusions that trip you up (and how I worked through them). This first post covers how a Docker build works - build context, layers and caching tricks that makes build faster. Post Link: pankajkr62.substack.com/p/docker-day-2-building-your-own-images?r=5ls3s Subscribe if it’s useful — and if you’re learning this too, please reach out. Happy to learn together. I’d also love to hear your thoughts and feedback — anything is welcome.