Explore our collection of articles, tutorials, and insights about Kubernetes, Docker, and cloud-native technologies.
I’ve rolled my own quiz engine for DiveInto! You can now choose live feedback or exam-style test mode, shuffle questions, and see tailored explanations for every answer (right or wrong).
I just re‑sat and passed KCNA again in August 2025, and used the experience to ship a wide‑ranging refresh of my KCNA course - including Kubernetes Architecture, Pods, Deployments/ReplicaSets, Jobs, API fundamentals, Scheduling/NodeName, Security, and Cloud Native Observability.
Flip one switch in Docker Desktop and get a real, multi‑node Kubernetes cluster running in Docker containers - no VMs, no scripts, no waiting. Perfect for certification practice and local development.
Meet snooze: a tiny HTTP server that returns whatever message you ask it to, no files required. Perfect for testing Services/Ingress wiring, path-based routing, and building mental models without app noise.
Introducing idle: a purpose-built, ultra-minimal container whose only job is to stay running politely. Perfect for demonstrating pod lifecycle, scheduling, disruption budgets, taints/tolerations, and more without application noise.
When I first started learning Kubernetes, Docker was the container runtime. It felt like Kubernetes and Docker were best friends – Kubernetes was originally designed to work with Docker and only Docker. For years, having Docker as the default runtime was simply how things were done.
Engineers working with Kubernetes often focus on application containers and overlook the tiny pause container. Discover this component that quietly holds everything together in Kubernetes Pods.
Behind-the-scenes look at Docker Desktop's new AI Models feature via the Docker Model Runner. Learn how to build AI-powered applications locally with Dev Whisperer, a Local Dev Copilot for explaining, improving, and refactoring code.
