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> For monitoring, we have relied on notebooks this far.

This is pretty interesting approach. Notebooks are a natural environment of Data Scientist and for monitoring they'd provide really good discoverability, flexibility, and interactivity.

Do you use more traditional monitoring that will alert you somehow if a workflow fails, or a workflow hasn't run at all for X hrs/days?




At Netflix, we rely on the workflow scheduler for such alerting and bundle in a layer of triggering mechanism (custom notifications and such)




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