The engineering nitty-gritty of running distributed systems (sysops). From Docker to Kubernetes, with special attention to performance, reliability, and observability.
Practical at-home applications include a smart-home IOT design for a cluster of Raspberry Pis. Most, if not all of the following links have some (open-source) code and tutorials.
Running Docker & Kubernetes... both at home and in the cloud. Tools for making life easy when running your own home cluster, cost breakdowns when choosing cloud providers, observability, and other "lessons learned" as an engineer-turned-engineering-manager.
Observability tools help monitor everything from home-automation to Kubernetes clusters. These data-visualization tools make the difference between a disaster and an insight.
I wrote some open-source Docker containers that make managing a cheap AWS Kubernetes fleet easy.
