Learning paths

Series, step by step

Multi-part deep dives designed to be followed in order — start at part 1 and build up, one post at a time.

A hands-on, step-by-step path from "what even is a container?" to confidently running workloads on Kubernetes. No prior K8s experience needed.

Problems I've solved, with the reasoning spelled out — pattern recognition, the naive approach, the optimization, and the complexity math.

Designing real systems on paper — requirements, back-of-envelope math, architecture, trade-offs, and what breaks at scale.