Use case · Teams running ML models in production.
MLOps
Standard APMs do not understand per-feature drift / inference latency.
What Unimoni offers
OTLP ingestion + custom metrics via the SDK. Anomaly detection for drift signals.
Concretely
- ✓OTLP receiver
- ✓Custom metrics via REST or OTLP
- ✓Anomaly rules: current vs baseline with a σ threshold
- ✓Multi-region for multi-model deploys