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What is training-serving skew, and how do you keep online and offline features consistent?

The bug class with no stack trace: the model is fine, the pipelines are green, and production quietly underperforms offline by five points. Why skew survives even feature-store adoption, and the log-and-wait pattern Google-style answers center on.

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

The bug class with no stack trace: the model is fine, the pipelines are green, and production quietly underperforms offline by five points. Why skew survives even feature-store adoption, and the log-and-wait pattern Google-style answers center on.

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