Serving Rollout Playbook

Model serving turns model quality into a user-facing reliability problem. A rollout plan should combine latency, correctness, traffic, fallback, and ownership.

Readiness checklist

• Endpoint owner and escalation path.
• Baseline latency and error budget.
• Evaluation set and expected quality threshold.
• Payload logging policy.
• Rollback plan and fallback behavior.

Release slice

Start with a small internal audience, sample responses, compare against the baseline, and widen traffic only after the signals look stable.

One useful question

If quality drops at 2 p.m., who knows first and what do they do next?