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Live monitoring demo

Production ML Monitoring App

MLOps application for sensor anomaly detection that compares candidate models, tracks experiments, serves inference, logs predictions, produces drift reports, and defines retraining triggers.

Submit sensor readings and inspect anomaly probability with monitoring context.

Python
FastAPI
W&B
Evidently
Docker
Predict an anomaly

Page expectations

What this route loads and what you should see.

Data source

Loads monitoring and training summaries before prediction.

Expected result

Returns anomaly flag, probability, and model version.

Predict anomaly

Submit sensor readings and inspect anomaly probability with monitoring context.

Returns anomaly flag, probability, and model version.

Prefilled with a valid baseline sensor reading. Adjust any value, then submit to inspect the anomaly result.

Anomaly result

Returns anomaly flag, probability, and model version.

Submit sensor readings to see the anomaly prediction here.

Monitoring summary

Loads monitoring and training summaries before prediction.

Loading monitoring and training summaries.

Training metrics

Training summary for the currently deployed anomaly model.

Loading training metrics.