For business
What it is
Continuous health checks: errors, queues, quality signals and changes in the kind of input coming in.
Why it matters
Problems are spotted and fixed before users notice them.
Risk without it
A provider updates a model or the inputs change, and quality falls without anyone noticing.
For engineers
How it works
Dashboards and alerts on error rate, queue depth, dead-letter size, latency, guardrail failures and review edit rates, plus drift checks on input distributions and evaluation scores over time.
Typical stack
- CloudWatch / Grafana
- PagerDuty / Opsgenie
- eval scores over time
Pitfalls & trade-offs
- Alert on symptoms users feel.
- Track quality, not just uptime.
- Pin model versions where providers allow it.
Example pattern · fictional data · not a client system