An Azure service for ingesting, preparing, and transforming data at scale.
Centralized failure logging for Azure data pipelines
One thing we have been tightening at DataToBiz is how pipeline failures are captured across different workloads.
Instead of making each pipeline responsible for its own logging structure, we have been looking at a common failure record containing the pipeline/run identifier, activity, source, failure type, timestamp, and error details.
The useful part is being able to distinguish an actual data failure from an orchestration or dependency failure before someone starts debugging the transformation itself.
For teams running a larger number of ADF pipelines, what fields have you found essential in a shared failure log?