Master Docker & Kubernetes, then nail the interview
Docker and Kubernetes — images, containers, networking, volumes, Pods, Deployments, scaling, scheduling, security and production operations — full story-driven chapters to learn it from scratch, plus a real interview question bank to prove you know it.
What's inside
Learn From Scratch
Story-driven chapters that build every concept from first principles — container isolation, image layers, Pod scheduling, service networking — with code and YAML examples throughout.
Real Interview Questions
A curated question bank drawn straight from the material, with an AI tutor that builds a complete zero-to-expert answer for every question, on demand.
Diagrams, Chat & Flashcards
Generate a visual diagram for any topic or question, ask the AI tutor a follow-up, and review with spaced-repetition flashcards that bring weak spots back sooner.
Categories
Docker
Images, containers, Dockerfiles, networking, volumes, Compose, security & production best practices.
Kubernetes
Pods, Deployments, Services, networking, storage, scaling, scheduling, security & production operations.
Linux for DevOps
NewThe filesystem, permissions, processes, text tools, systemd, networking, and SSH -- the Linux fundamentals every DevOps workflow runs on top of.
Bash Scripting
NewWriting real automation scripts -- variables, control flow, functions, string/array handling, and the production habits (set -euo pipefail, logging) that separate a script from a liability.
Git & GitHub for DevOps
NewBranching and merging, collaboration workflows, advanced recovery operations, and how Git plugs into a CI/CD pipeline.
Terraform: Infrastructure as Code
NewDeclarative infrastructure from init to production -- state management, variables and modules, multi-environment workspaces, and the pitfalls that show up once a team depends on it.
Ansible: Configuration Management
NewAgentless, idempotent server configuration -- playbooks, templating, roles, and how Ansible pairs with Terraform in a real provisioning pipeline.
Microsoft Azure & Azure DevOps
NewAzure's resource model, compute and storage services, Azure DevOps pipelines, and identity/governance -- mapped against the AWS concepts you may already know.
Google Cloud Platform & GKE
NewGCP's resource model, Compute Engine and GKE, Cloud Build pipelines, and IAM/cost management -- mapped against AWS and Azure equivalents.
DevOps Interview Prep
NewRealistic DevOps interview scenarios across Docker, Kubernetes, Linux/networking, CI/CD, Git, and cloud/IaC -- explained with real reasoning, not bare Q&A.
Frequently Asked Questions
What are the most commonly asked Docker and Kubernetes interview questions?
Interviewers typically ask about image layers vs containers, how Kubernetes Pods and Deployments differ, service networking and DNS resolution inside a cluster, rolling updates vs blue-green vs canary deployments, and how resource requests/limits affect scheduling — all covered here with dedicated learning chapters and an interview question bank.
Should I learn Docker before Kubernetes?
Yes — Kubernetes orchestrates containers that Docker (or a compatible runtime) actually builds and runs, so understanding images, layers, and container isolation first makes Kubernetes concepts like Pods and scheduling click much faster. This course is structured in exactly that order.
What is the difference between a Docker container and a Kubernetes Pod?
A Docker container is a single running instance of an image. A Kubernetes Pod is a higher-level unit that wraps one or more containers that need to share networking and storage — Kubernetes schedules and manages Pods, not individual containers directly.