Separate model failure from system failure
Frame the incident before changing components, so the response targets the actual failing boundary.
Production ML · field guide
Production ML Deployment Triage
A practical field guide for diagnosing, stabilizing, and improving production machine-learning deployments when the system is already under pressure.
$19minimum price on Leanpub · suggested $29
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Built for the incident window
When “the model works” is not the same as “production works.”
Use the guide as a compact triage companion when a deployment is failing, drifting, stalling, or behaving differently outside the notebook.
It is designed to keep attention on the production system: evidence, failure boundaries, rollout behavior, observability, and the shortest route from symptoms to a defensible next action.
Restore a trustworthy operating state
Prioritize reversible actions, observable changes, and evidence that the deployment is actually recovering.
Turn the incident into a better deployment
Use what failed to strengthen observability, rollout discipline, evaluation, and future triage.
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Leanpub currently lists the book with a $19 minimum price and $29 suggested price.
Pricing verified 2026-08-20. Leanpub controls the live price shown at checkout.