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Data Science Meets Devops: MLOps with Jupyter, Git, & Kubernetes | Kubeflow

Open utterances-bot opened this issue 4 years ago • 1 comments

Data Science Meets Devops: MLOps with Jupyter, Git, & Kubernetes | Kubeflow

An end-to-end example of deploying a machine learning product using Jupyter, Papermill, Tekton, GitOps and Kubeflow.

https://blog.kubeflow.org/mlops/

utterances-bot avatar Aug 26 '20 13:08 utterances-bot

What's your take on Dataiku and their functionality for accomplishing what you've laid out here? How does the reconciler vs DAG differ from what they lay out here (building a DAG with more sophisticated build logic for each node) https://doc.dataiku.com/dss/latest/scenarios/step_flow_control.html?

wnowak10 avatar Aug 26 '20 13:08 wnowak10