Fiddler only auto-onboards models that reach the right registry stage, so the first thing to check is whether your model is actually in the Production stage in MLflow, since that is what triggers monitoring setup. After that, work through the integration basics: verify the MLflow or Databricks credentials you gave Fiddler are still valid, check network connectivity from Fiddler to your ML platform (firewall rules are a common culprit for self-hosted MLflow), and if you use event-driven sync, make sure the webhook endpoint is reachable. Fiddler also has an integration-health view where you can turn on alerts for sync failures, which beats discovering the gap weeks later.

Context: I connected Fiddler to our MLflow registry but none of my registered models are showing up in Fiddler. The integration says it is connected. What should I check?

## Matched source
Source: Source: https://docs.fiddler.ai/integrations/ml-platforms-and-tools/ml-platforms#troubleshooting
Original query: "Fiddler AI: models not syncing from MLflow registry"
Key terms: fiddler, mlflow, models, registry, syncing