Where data scientists meet DevOps: how to deploy, manage, train and serve Machine Learning models at scale in the cloud with popular open source tools like Kubeflow, on the most popular container orchestration and microservices: Kubernetes. Applying widespread concepts like continuous delivery and infrastructure as code, we will show how simple and streamlined it can be to operate a complete data analytics platform even without having a Ph.D. in Artificial Intelligence
Bio Alessandro Vozza
Alessandro has been around Open Source for as long as he can remember, and he started cultivating the DevOps community in Amsterdam when it was not an hype. After many transitions, he now settled as Technical Evangelist for Microsoft, pushing for adoption of state of the art DevOps practises and culture across different industries and communities.