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 Services
Low-maintenance full stack on AWSAWS with Kubernetes
Customizable full stack on AWSAzure with Kubernetes
Customizable full stack on AzureGoogle Cloud with Kubernetes
Customizable full stack on GCPOnce 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!