Where to Start?

An introduction to Continuous Delivery

Understanding the Problem

Learn about the fundamental challenges that Continuous Delivery addresses

Common mistakes

“How to be really good at Continuous Delivery AND completely destroy your company”

Going slower to go faster

Understanding what makes the most difference when optimizing for success

AI & Machine Learning

MLOps: Models are assets too

Last modified January 24, 2022: Initial transfer of introductory material (5ec5ddd)