Metaflow Resources for Engineers
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.
To get started with setting up the Metaflow stack, choose a deployment option below. For background, see an overview of supported Metaflow stacks and Motivation.
AWS Managed ServicesLow-maintenance full stack on AWS
AWS with KubernetesCustomizable full stack on AWS
Azure with KubernetesCustomizable full stack on Azure
Google Cloud with KubernetesCustomizable full stack on GCP
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!