The MLOps Stack

MLOps is a set of best practices that revolve around making machine learning in production more seamless. The purpose is to bridge the gap between experimentation and production with key principles to make machine learning reproducible, collaborative, and continuous. MLOps is not dependent on a single technology or platform. However, technologies play a significant role in practical implementations, similarly to how adopting Scrum often culminates in setting up and onboarding the whole team to e.g. To make it easier to consider what tools your organization could use to adopt MLOps, we've made a simple template that breaks down a machine learning workflow into components.