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.
Aporia & Bodywork Integration
With this integration you can easily monitor models deployed with Bodywork for issues such as model drift, performance degradation and more.
Check out the example project on GitHub to learn more.