Patterns and Antipatterns in Docker Image Lifecycle

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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 antipatterns for Docker image management, and what impact the new tools have on the battle-proven paradigms of the software development lifecycle.


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