Ingestion and replication: moving from detection in hours to detection in minutes.
Azure Data Blog6d4 min read
It seems that currently, we only become aware of a problem once there is a visible impact on tracking or on the tables consumed by the business. In many cases, the root cause appears to occur much earlier—for instance, when a package or replication process stops running correctly, starts skipping steps, or begins to accumulate delays. Would it make sense to move toward earlier detection? I was thinking of something that periodically monitors data from `replication.package` and similar sources to identify anomalies before tracking alerts are triggered: Packages that haven't run in the last *N*


