Layered error handling for Azure Data Factory: activity retries for transient faults, how pipeline success is really decided, log-then-fail handlers, Until/Wait polling, trigger retries and reruns.
A design guide for Azure Data Factory pipelines that survive production: orchestrator and worker pipelines, parameters, idempotent windows, timeouts and retries, concurrency, secrets, monitoring and CI/CD.