Systems · Taught with Docker
Linux, containers, Kubernetes and the pipelines between them. You install an app by hand first, containerise those exact steps, run it on a cluster, and ship changes without downtime.
Download the course plan5 phases · 20 sessions · each phase ends in something you have built
Understand the machine an app runs on by running one the hard way first.
$58
this phase
Move around a Linux machine, read and edit files, and stop fearing the terminal.
Find what is running, which port it listens on, and what it wrote to its log.
Put a web app and a database on a bare server and write down every step you needed.
Turn a manual install into an image that runs identically on any machine.
$58
this phase
Run, list, stop, and remove containers, and explain why editing one changes nothing permanent.
Convert last phase's install notes into a Dockerfile that builds and runs.
Cut a 1.2 GB image down using build order, dockerignore, and a multi-stage build.
Use volumes and bind mounts so your database survives a container restart.
Start a web app, a database, and a cache on one shared network from a single file.
Make every merge produce an image you can trust and run anywhere.
$58
this phase
Push an image to GHCR, pin it by digest, and explain why latest is not a version.
Build one image for arm64 and amd64 so your laptop build does not die on the server.
Run tests and a build on every push, cache the layers, and block a merge that fails.
Scan for known CVEs, generate an SBOM, and sign what you publish.
Run your images across several machines and deploy by merging instead of typing.
$58
this phase
Stand up a local cluster with k3d and deploy your image as a Deployment and a Service.
Diagnose CrashLoopBackOff, ImagePullBackOff, and OOMKilled instead of guessing.
Wire up ConfigMaps, real secret management, and a volume that outlives the pod.
Route requests into the cluster with the Gateway API and see how DNS works inside it.
Deploy by merging a pull request, then watch a hand-edited change get reverted.
Create real cloud infrastructure from code, know when it breaks, and delete it before it costs you.
$58
this phase
Create and destroy real cloud resources with OpenTofu and explain what the state file holds.
Read a pricing page, set a budget alert, and shut an account down before it charges you.
Instrument the app with OpenTelemetry and build one dashboard and one alert worth waking up for.
One Command Up
App, database, and cache from a single compose file
Merge, Build, Publish
A pipeline that ships a scanned multi-arch image
Delete It All
Wipe the cluster, rebuild it from Git, prove it with a dashboard