
Production readiness checklist for startups and AI-built apps
A practical production readiness checklist across releases, reliability, security, cloud cost and ownership, with evidence to collect before launch.
Measure customer outcomes, test recovery and make production readiness observable.
Reliability starts with a clear customer journey and an owner for failure. These guides help turn launch assumptions into evidence, define useful service targets and distinguish release recovery from data recovery.
Start here: Production readiness checklist for startups and AI-built apps
A practical production readiness checklist across releases, reliability, security, cloud cost and ownership, with evidence to collect before launch.

Monitor AI applications beyond uptime with request traces, job completion, model dependency signals, cost attribution and privacy-aware telemetry.

Understand deployment rollback and data restore, where each helps, and how to test recovery with schema changes, recovery objectives and validation.

Define a useful first service-level objective and error budget with a clear denominator, measurement window, alert owner and release decision policy.