Micro-SaaS AI Ops Guide
Small teams need lightweight AI operations. This guide covers monitoring, cost control, model routing, and incident response for Micro-SaaS environments.
Monitor what matters
Track latency, error rate, token cost, and user-reported failures. Keep dashboards simple and alert on thresholds, not noise.
Control costs
Use request batching, caching, fallback models, and usage quotas. Review inference spend weekly and set hard limits per feature.
Route models safely
Start with one strong default model. Add secondary routes only when you can test fallback behavior and measure impact.
Incident response
Document rollback steps, owner escalation, and user communication. Treat model regressions like production incidents.
Scale deliberately
Add automation only after manual processes prove stable. Prefer fewer capabilities with higher reliability over broad feature expansion.