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Deep dives where theory meets hands-on practice.
Learn how Linux containers are built from the ground up. Starting with the mount namespace and a root filesystem, see why PID, cgroup, UTS, and network namespaces naturally follow - and how this foundation makes concepts like bind mounts, volumes, and persistence in Docker or Kubernetes much easier to grasp.
Begin with the basics to understand Docker and Kubernetes networking: learn how to create and interconnect Linux network namespaces using only command-line tools.
How Virtual Machines were used to deploy services. What old problems containers solve and what new problems create. How Kubernetes used containers to recreate Virtual Machines in a better way?
Learn how servers actually work by building a tiny TCP server and client from scratch. A hands-on introduction to sockets, TCP, and the network programming model every backend, DevOps, and platform engineer should go through at least once.
Focused, hands-on problems to sharpen your skills.
Practice real-world disaster recovery — restore a deleted production workload by restoring an etcd snapshot and reconfiguring the etcd static pod to use the recovered data directory.
A newly provisioned server is reachable as root with a shared seed password. Create a sudoer admin user, switch SSH to key-based access, disable password and root logins, and retire the seed credential.
An inventory service lives inside a private VPC and keeps its debugging port bound to 127.0.0.1. Use SSH local port forwarding with a jump-only bastion to query the debugging port from your workstation.
A distroless pod running in the cherry namespace has no shell or debugging tools. Use kubectl debug to attach an ephemeral container, test connectivity to the request-logger service, and verify the request was received in its logs.
Guided, multi-step learning journeys.
A heavily illustrated introduction to the first two layers of Computer Networking: Ethernet and IP. A must for any developer or DevOps engineer who wants to build solid understanding of computer networking before they move to the higher-level protocols like TCP, UDP, and even HTTP.
A hands-on, step-by-step guide to assembling a Kubernetes cluster from the ground up, (without using any automation) while deeply exploring each component's role and functionality along the way.
Explore containerd with ctr, its default command-line client, try nerdctl as a potential Docker alternative, and learn how to debug Kubernetes Pods with crictl.
A hands-on introduction to Firecracker that takes you from booting your first microVM to building secure, production-ready sandbox infrastructure. Learn how to launch and control microVMs, wire up networking, share data efficiently, and harden execution - the essential skills for running autonomous agents and untrusted workloads safely at scale.
Curated learning sequences to master a single topic.
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.
Big-picture guides to navigate an entire domain.
Master Docker by solving practical problems. The learning path includes: Must-Have and Digging Deeper routes, theoretical materials where it helps to learn faster, and cross-cutting topics such as security, debugging, and observability.
Instant, throwaway environments to experiment in.
A multi-node Kubernetes cluster provisioned with kubeadm, allowing you to choose your preferred container runtime and networking plugin. Perfect for CKA, CKAD, and CKS preparation.
Get a disposable agentic coding environment in seconds. Claude Code, Codex, Gemini CLI, and Opencode pre-installed and ready to use.
