What you'll learn
A text-based, lab-driven path from zero containerization knowledge to deploying and operating production-grade microservices on Kubernetes. You don't watch — you read and you build. Every concept is explained in writing and immediately reinforced with a guided lab you type out yourself: real commands, real Dockerfiles, real Kubernetes manifests, and the output you should expect to see.
The journey
You start with the why — how application deployment evolved from bare metal to VMs to containers — then master Docker end to end: the CLI, the container lifecycle, images and layers, writing optimized Dockerfiles with multi-stage builds, volumes, networking, and Docker Compose. You'll containerize real Node.js, Python, Java, and React apps. From there you move to Kubernetes: architecture, Pods, Deployments, StatefulSets, Jobs, Services, Ingress, ConfigMaps and Secrets, persistent storage, scheduling, autoscaling, security, monitoring, and systematic troubleshooting. The final part covers delivery and production: CI/CD pipelines, image registries, GitOps with Argo CD, packaging with Helm, and production practices like HA design, deployment strategies, and disaster recovery.
Capstone
The course ends with a complete, production-style microservices system — a React frontend, an API gateway, user/product/order services, and databases — that you containerize, compose, publish, and deploy on Kubernetes with Services, Ingress, config, persistent storage, and autoscaling.
Who this is for
Application developers who want to package and ship their apps, DevOps and platform beginners moving into containers and orchestration, and backend or full-stack engineers preparing for cloud-native roles or CKA/CKAD certification. If you're comfortable in a terminal, this is a practical, project-based path into Docker and Kubernetes.
