KubeCon + CloudNativeCon Europe 2020

Serverless frameworks enable devops automation, resource allocation on demand and auto-scaling. However, so far they only addressed event-driven workloads and not distributed, batch oriented data science tasks like data preparation and ML training. Orit Nissan-Messing will introduce the recently announced Nuclio ML Functions which is tightly integrated with Kubeflow and extends the Nuclio open-source serverless framework to auto-scaling machine learning, training and data preparation tasks. Nuclio ML functions automatically tracks experiments and artifacts, is seamlessly integrated with Kubeflow pipelines and eliminates a significant amount of devops. Participants will learn how to work with Kubeflow and Nuclio to enable CI/CD for their machine learning workloads, enabling performance and horizontal scaling, while cutting infrastructure costs and tedious development tasks.