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mediumDatabricksGoogleMicrosoft

Your model is live at a customer. What do you monitor, and how do you catch drift before the customer does?

Models don't crash, they decay quietly while dashboards stay green. The four-layer monitoring stack, data vs concept drift with PSI numbers, and the label-lag problem that makes naive accuracy monitoring useless.

Updated Aug 2026 · Grounded in real Forward Deployed Engineer interview loops and written to a senior-engineer editorial bar.

Models don't crash, they decay quietly while dashboards stay green. The four-layer monitoring stack, data vs concept drift with PSI numbers, and the label-lag problem that makes naive accuracy monitoring useless.

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