12 Factor Applications with Docker and Go

Practical 12-Factor Guidance for Go and Docker

12 Factor Applications with Docker and Go brings the Twelve-Factor App ideas down to the level of day-to-day implementation. Written by Tit Petric, it focuses on what happens when you try to build services that can actually scale, deploy cleanly, and behave predictably in real environments.

The book uses Docker and Go as its working examples, so the discussion stays concrete: you are not just reading about application design in the abstract, but about how those principles play out in a modern deployment workflow.

What the Book Covers

• Codebase structure and multiple deploys
• Dependencies and vendoring
• Configuration in the environment
• Backing services as attached resources
• Build, release, and run separation
• Stateless processes and process management
• Port binding and network exposure
• Concurrency, scaling, and rolling updates
• Fast startup, graceful shutdown, and health checks
• Dev/prod parity, logging, and admin tasks

Why It Stands Out

This is a book for developers who want operational habits, not slogans. The examples move through the mechanics of container-based delivery and show how the Twelve-Factor model can guide decisions about deployment, scaling, and service design.

It also reflects the realities of working software: backing services, DNS, logging pipelines, orchestration, and the little operational details that often decide whether a system feels manageable or fragile.

Who Will Find It Useful

If you build Go applications, work with Docker, or are shaping services for cloud deployment, this ebook offers a focused path through the core Twelve-Factor concepts. It is especially relevant for developers, DevOps practitioners, and software engineers who want a practical reference for building services with cleaner boundaries and more predictable behavior.

A Focused Read for Real-World Service Design

Rather than treating the Twelve-Factor App as a slogan, this ebook uses it as a working framework. That makes it a useful choice when you want to connect application design with the realities of deployment, scaling, and operations. 📘