What stands out is how you show the full container lifecycle with live, runnable examples: building images, running containers, exposing ports, and observing how changes affect behavior. That makes core ideas like image immutability, isolation, and reproducibility much clearer than static guides.
This mirrors how containers are used in real infrastructure. For example, platforms like Syaala rely on containerized workloads to ensure applications behave consistently across modular, GPU ready deployments same container, predictable runtime, different scale and location.
Short, hands on, and grounded in how containers are used in production. Solid resource for anyone learning Docker seriously.