While Docker has enabled an unprecedented velocity of software production, it is all too easy to spin out of control. A promotion-based model is required to control and track the flow of Docker images as much as it is required for a traditional software development lifecycle. New tools often introduce new paradigms. We will examine the patterns and the anti-patterns for Docker image management, and what impact the new tools have on the battle-proven paradigms of the software development lifecycle. This talk takes it from the point that everybody already understand the need in the CI/CD pipeline and some of the basic techniques are taken for granted. It’s much more about tools, processes and automation.