MLOps and DevOps Convergence

The chapter explores the similarities between MLOps and DevOps, discussing the challenges of deploying ML projects to production and the need for standard infrastructure stacks. It emphasizes the shift in skill sets required for ML applications, the importance of software architecture, and the integration of machine learning solutions with existing production tooling.