Notebook-to-Production

Notebook-to-production describes the gap between a working data-science notebook or prototype and a system that runs reliably, observably, and cheaply in production — error handling, retries, monitoring, cost controls, and deployment infrastructure a notebook doesn't need. It's usually a bigger lift than the original prototype, which is why it's often underestimated in project timelines. Treating it as a distinct phase, with its own scope and budget, is what separates a demo that ships from one that stalls.

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