You are responsible for an automated workflow that moves and transforms operational data across internal systems. The workflow normally runs without much manual intervention, but you want a clear approach for when failures start happening repeatedly and affect a large number of records or downstream users.
What would you do if an automated workflow started creating errors at scale?
Ability to stop bad data propagation quicklyUse of orchestration controls and dependency managementData quality triage and blast-radius assessmentIdempotent replay and safe rollback planning