Follow the steps below to begin deploying projects, or browse our library of templates and tutorials
Add a bodywork.yaml file to your Python project’s Git repo. The contents of this file describes how your project will be deployed.
Bodywork is used from the command-line to deploy projects to Kubernetes clusters. With a single command, you can start Bodywork containers, hosted by us on Docker Hub, that will pull Python modules directly from your Git repo, and run them.
That's it, you've now deployed your Python project to Kubernetes!
You don’t need to build your own Docker images or understand how to create Kuberentes resources.
Bodywork will fill the gap between executable Python modules and operational jobs and services.
If you’re new to Kubernetes, then check out our guide to Kubernetes for ML - we’ll have you up-and-running with a test cluster on your local machine, in under 10 minutes.
Use one of the templates below to get a head start deploying your project
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