The Big Book of MLOps

This whitepaper aims to explain how your organization can build robust MLOps practices incrementally. First, we describe the people and process involved in deploying ML applications and the need for operational rigor. We also provide general principles to help guide your planning and decision-making. Next, we go through the fundamentals of MLOps, defining terms and broad strategies for deployment. Finally, we introduce a general MLOps reference architecture, the details of its processes, and best practices.