Tag
#monitoring
3 posts tagged monitoring.
- ops
Alerting for ML Model Drift: A Practical Setup
Drift alerting fails in one of two ways — it never fires, or it fires constantly until everyone mutes it. A concrete setup for alerts that fire when performance is actually at risk, and stay quiet when it isn't.
- tooling
The Open-Source ML Observability Stack: Evidently to Phoenix
An honest breakdown of the three open-source tools most teams reach for — what problem each was built for, where they overlap, where they don't, and how to assemble them without buying a platform you don't need yet.
- ops
Closing the Eval-Prod Gap: Online Evaluation as Observability
Offline eval scores are green and production is worse. The gap is not a measurement error — it is structural. Here is how to instrument online evaluation so production quality becomes observable.