Docker Deep Dive

Docker becomes easier to understand when the concepts and the command line are taught together. Nigel Poulton’s Docker Deep Dive starts with the big picture of containers, then builds toward the practical work of creating, running, networking, and securing containerized applications. This May 2025 fifth edition also brings Docker’s newer AI and WebAssembly features into the picture.

Start with the ideas behind containers

The book first explains what containers are, why teams use them, and how Docker fits into the wider container ecosystem. It then turns to Docker Engine and the components involved in starting containers, giving readers context for the commands they will use later.

Move from images to running applications

Dedicated chapters cover images, containers, application containerization, and multi-container projects with Docker Compose. Along the way, the contents include image naming and tagging, multi-architecture builds, BuildKit and buildx, container debugging, and practical command references. The progression helps connect individual Docker operations to the larger task of packaging and running an application.

Explore Docker’s newer terrain

This edition adds a chapter on Docker Model Runner, including its architecture and use with Compose and Open WebUI. It also covers WebAssembly containers. Updates to Docker Debug, Docker Build Cloud, and other build tooling reflect the changes identified for the May 2025 edition.

Networking, data, and security

Further chapters examine Docker networking—including overlay networks—persistent data with volumes, and security topics such as namespaces, access controls, vulnerability scanning, and image signing. These subjects help readers look beyond getting a container running and consider how containerized applications communicate, retain data, and are protected.

A practical guide for learning Docker

With its two-part structure, explanatory chapters, examples, and command-focused sections, Docker Deep Dive suits readers building their Docker foundations as well as practitioners reviewing modern container workflows. It offers a broad route through Docker, from first principles to Compose, Swarm, local AI models, and production-oriented concerns.