Advancing Software Development in 2023: The Convergence of MLOps and DevOps

Abstract

The integration of Machine Learning Operations (MLOps) with DevOps represents a transformative approach to modern software development, bringing together the strengths of both methodologies to enhance automation, scalability, and efficiency. This synergy leverages the strengths of both disciplines to streamline the development, deployment, and maintenance of machine learning models and software applications. This paper explores the convergence of MLOps and DevOps, highlighting the benefits, challenges, and best practices for implementing this integrated approach in 2023. Through case studies and practical insights, we demonstrate how combining these practices can drive innovation and streamline the development and deployment of intelligent applications.