Curated lists of practical challenges sprinkled with a little bit of theory and lots of colorful diagrams to help you learn more efficiently. Skill paths are ultra focused learning series which you can use to develop or improve a specific skill: container networking troubleshooting, image building, etc.
Practice the most common Linux storage operations in a series of hands-on challenges: discover and mount drives, create partition tables, format partitions with different filesystems, map directories with bind mounts, and make mount points survive a reboot.
Learn how to reach an internal port on a remote machine from the local system, jump through a bastion into a private VPC, expose a development server to the Internet through a reverse tunnel, publish a home network device, and spin up a full-fledged SOCKS proxy with nothing but a regular SSH connection.
Go from zero to a confident Docker beginner. Learn how to run containers of all kinds, interact with them, and build a clear mental model of how Docker manages your applications behind the scenes.
Learn how to write Dockerfiles from scratch and build production-ready container images. Start with the basics of image building and progress through handling dependencies, compiling applications, inspecting image internals, and optimizing builds with multi-stage Dockerfiles. Then go deeper with advanced Dockerfile instructions, analyzing image internals, and producing multi-platform builds.
Learn how to move container images between your machine and container registries. Practice pulling images by tag, digest, and platform; tagging and pushing them to public and private registries; mirroring images across repositories; shipping images into air-gapped environments; and publishing multi-platform images.
Practice building container images, choosing the right base image, organizing multi-stage Dockerfiles, and troubleshooting common issues caused by flawed image composition.
Practice copying container images from one repository to another using the docker, crane, skopeo, and regctl tools.
Start by learning how to limit process resources in Linux using cgroups—from the most basic, hands-on cgroupfs manipulation to the more convenient systemd-run command. Then, explore how Docker and Kubernetes leverage cgroups to control the resource usage of containers and pods.
Learn how to install Dagger and write the first modules to build, test, and deploy your application.
Four hands-on challenges covering the full storage stack. Start with emptyDir, move to dynamic provisioning with StorageClass, explore static PV binding patterns including label selectors, bidirectional claimRef, and topology-aware local volumes, then finish with PV reclaim policies and data recovery.
Nine hands-on challenges split into two sections. The resource section covers how requests, QoS classes, priority, and namespace quotas shape scheduling decisions. The placement section covers how affinity, topology spread, and dedicated nodes control where pods land. HPA closes the path by showing how requests drive autoscaling.
Learn eBPF from the ground up — from writing and running your first program, to storing data in eBPF maps, inspecting and monitoring kernel activity using bpftool and bpftop, and understanding how the verifier ensures safe eBPF execution. Finish with a hands-on challenge to put your new skills to the test.
Master database management on Kubernetes with KubeBlocks! This path covers setup, auto-tuning, deployment, upgrades, backups, monitoring, and optimization across five tutorials, all aligned with Operator Capability levels.
