Machine Learning System Design: Models-as-a-service

Engineers strive to remove barriers that block innovation in all aspects of software engineering. Currently, in addition to deploying technology products, there is an amalgamation of technology and data models or just deploying a plethora of AI models. In this article, we will cover the horizontal approach of serving data science models from an architectural perspective. DevOps emerged when agile software engineering matured around 2009. Today, as data science products mature, ML Ops is emerging as a counterpart to traditional devops.