Architecture of an Experimentation Platform

With the statistical foundations of experimentation established in Part I, we now shift our focus to the engineering challenge of building the systems that make experimentation possible at scale. This is the domain of the data and ML engineer, where abstract concepts like p-values and statistical power are transformed into robust, automated, and reliable infrastructure.