Model Monitoring

A model can pass offline evaluation and still fail in production.

You might see healthy latency, zero errors, and stable pipelines, yet prediction quality quietly drops. For example, precision can fall from 0.92 to 0.74 without any infrastructure alert, leading to real business impact.

The system is running, but the model isn’t working.

Infrastructure monitoring tells you the system is up. Model monitoring tells you if it’s doing the right thing. You need both.