MLOps Coffee Sessions #1: Serving Models with Kubeflow

Video Description

MLOps coffee sessions coming at you with our primer episode talking bout KFServing! David Aponte and Demetrios Brinkmann dive deep into what model serving is in machine learning, what different types of serving there is, what serverless means, API endpoints, streaming and batch data, and a bit of coffee vs tea banter. ||Show Notes|| ML in Production is Hard Blog article by Nikki: http://veekaybee.github.io/2020/06/09/ml-in-prod/?utm_campaign=Data_Elixir&utm_source=Data_Elixir_289 Interactive learning platform Katacoda: https://www.katacoda.com/ Github repo used in the video: https://github.com/aponte411/demos Blog on different ways to handle model serving: http://bugra.github.io/posts/2020/5/25/how-to-serve-model/ --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, Feature Store, Machine Learning Monitoring and Blogs: https://mlops.community/ Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with David on LinkedIn: https://www.linkedin.com/in/aponteanalytics/