Learning Hub

Platform engineering, learned the way production teaches it.

Structured tracks on Kubernetes, security, edge, AWS/EKS, delivery and observability, written for engineers who operate real systems. Every track moves from concepts to hands-on labs to real-world failure scenarios.

23tracks
261lessons
45scenarios
9areas
  1. 01ConceptsThe mental model: how it works and why.
  2. 02Hands-on labBuild it on a real cluster, step by step.
  3. 03ScenariosRealistic failures to reason through.
  4. 04PlaybookChecklists and runbooks to reuse.
  5. 05Q&AArchitect-level questions to test depth.

Linux & Scripting

The foundation under every platform: Linux, Bash and Python.

Kubernetes & Platform

Run, secure and design Kubernetes, from the first cluster to a fleet.

Bare Metal & Edge

Provision and operate infrastructure where there is no cloud to lean on.

Cloud — OpenStack, AWS & EKS

Private cloud with OpenStack, public cloud with AWS, and managed Kubernetes on EKS.

Delivery & Infrastructure as Code

Ship infrastructure and apps declaratively, safely and repeatably.

Observability & Reliability

See what production is doing, and respond well when it breaks.

Incident Handling

Take the page, find the cause, fix it calmly, and stop it happening again.

AI-Assisted Engineering

Use AI where it genuinely helps operations, with guardrails.

Hands-on Projects

Guided end-to-end builds that combine several courses, the way interviews and real jobs ask for them.

No tracks match that search.

Suggested paths

Where to start

Pick the path closest to your role. Each one strings tracks together in a sensible order.

This site is a public version of my personal engineering knowledge hub. It intentionally excludes confidential company information and internal operational details.