MLOps tool for deploying machine learning projects to Kubernetes
bodywork-core
Bodywork deploys machine learning projects developed in Python, to Kubernetes. It helps you:
- serve models as microservices
- execute batch jobs
- run reproducible pipelines
On demand, or on a schedule. It automates repetitive DevOps tasks and frees machine learning engineers to focus on what they do best – solving data problems with machine learning.
Where does Bodywork Fit?
Bodywork is aimed at teams who want to deploy machine learning projects in containers. It will deliver your project’s Python modules directly from your Git repository into Docker containers and manage their deployment to a Kubernetes cluster.
Where do I Install Bodywork?
Bodywork is distributed as a Python package that exposes a command line interface for configuring Kubernetes to run Bodywork deployments. It takes just one command to schedule