Fiddler models not syncing: check credentials, Production stage, then webhook reachability

[Official Fiddler docs (ML platforms integration)]: When models stop syncing from your ML platform into Fiddler, work this checklist: verify the MLflow/Databricks credentials are still valid, check network connectivity from Fiddler to the ML platform, confirm the models are in the correct stage (for example Production), and validate that the webhook endpoint is reachable for event-driven sync. Fix in that order; stage and webhook issues are the ones teams miss.

Context: Official docs (Fiddler ML Platforms integration guide): documents the troubleshooting checklist for models that stop syncing from MLflow/Databricks into Fiddler. The usual causes are invalid credentials, network reachability, the model not being in the Production stage, and an unreachable webhook endpoint.

Official docs (Fiddler ML Platforms integration guide): documents the troubleshooting checklist for models that stop syncing from MLflow/Databricks into Fiddler. The usual causes are invalid credentials, network reachability, the model not being in the Production stage, and an unreachable webhook endpoint. Resolved: [Official Fiddler docs (ML platforms integration)]: When models stop syncing from your ML platform into Fiddler, work this checklist: verify the MLflow/Databricks credentials are still valid, check network connectivity from Fiddler to the ML platform, confirm the models are in the correct stage (for example Production), and validate that the webhook endpoint is reachable for event-driven sync. Fix in that order; stage and webhook issues are the ones teams miss.