These resources help you set up and operate the full stack of ML/data science infrastructure for Metaflow. If you are new to Metaflow or the topic in general, take a look at Metaflow Resources for Data Science first.
AWS Managed ServicesLow-maintenance full stack on AWS
AWS with KubernetesCustomizable full stack on AWS
Azure with KubernetesCustomizable full stack on Azure
Once you have deployed the stack, take a look at Operating Metaflow for operational guidance.
If you need help with anything, join the Metaflow support Slack for quick and friendly advice!