Bodywork is flexible enough to deploy almost any type of Python project to Kubernetes. We demonstrate this by using it to deploy a production-ready instance of MLflow, then show how MLflow can be used alongside Bodywork's ML deployment capabilities, to form a powerful open-source MLOps stack.Continue reading →
Get up-and-running with Kubernetes in under 10 minutes from a standing-start.Continue reading →
On the benefits of training the simplest model conceivable and deploying it to production, as soon as you can. We show how to make this Agile approach to developing machine learning systems a reality, by demonstrating that it takes under 15 minutes to deploy a Scikit-Learn model, using FastAPI with Bodywork.Continue reading →
Bodywork, GitOps and machine learning deployment - Alex Ioannides presents at DataTalks.Club.Continue reading →
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