Checklist

Deployment & MLOps — Prototype-to-Production Readiness Checklist

An interactive, evidence-oriented readiness checklist to assess whether a prototype has the lightweight MLOps, monitoring, rollback, ownership, and reproducibility needed to graduate toward production. Record answers, attach evidence, assign owners, and capture remediation steps so teams can preserve iteration speed while reducing operational risk.

Interactive Tool

Prototype-to-Production Readiness Checklist

Use this checklist to verify the operational scaffolding required before graduating a prototype. Answer each item, attach evidence, assign an owner, and record next steps. This focuses on lightweight MLOps: reproducible builds, monitoring and alerts, rollback and rescue procedures, cost and data safeguards, and preserving the learning loop.

YYYY-MM-DD or free text
Do performance tests include held-out data, edge cases, and stress scenarios?
Is there an automated plan to detect input or label drift?
Are feature definitions, lineage, and access controls in place?
Has the prototype met performance SLAs under expected load?
Are retraining triggers, reproducible pipelines, and model versioning defined?
Are logs, metrics, dashboards, and actionable alerts configured?
Have privacy impact, data access, and vulnerability reviews been completed?
Has the system been tested for scale and degradation behavior?
Is a documented rollback and emergency mitigation plan available?
Is there a clear owner, runbook, and SLO/SLA for the prototype?
URLs to logs, dashboards, test reports, notebooks, or tickets.
Describe remaining risks, bias concerns, data quality issues, or regulatory considerations.
Concrete remediation actions, owners, and target dates.
1 = Not ready, 5 = Ready to graduate
1.0 10.0
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