lesson 1 of 6 · structured logs and alertslesson 1 of 6 · structured logs and alertslesson 1 of 6 · structured logs and alertslesson 1 of 6 · structured logs and alertslesson 1 of 6 · structured logs and alertslesson 1 of 6 · structured logs and alertslesson 1 of 6 · structured logs and alertslesson 1 of 6 · structured logs and alertslesson 1 of 6 · structured logs and alertslesson 1 of 6 · structured logs and alertslesson 1 of 6 · structured logs and alerts
Checkpoint
One last thing before we move on. pass this to mark the lesson done, or skip and keep moving. hop to the next when you're ready.
Build the three-rule monitor: error rate (>30% alerts), slow rate (latency over 1000ms, >30% alerts), and the subtle one — score collapse: if every non-None score is IDENTICAL, print "ALERT: score distribution collapsed to a constant - model or feature pipeline broken". Print the summary line f"n={n} errors={e:.0%} slow={s:.0%}" first, then any alerts. This window's scores are all 0.7 — the model is answering, and saying nothing.