Dev Tools · 7h ago
How to Migrate Large-Scale Metadata Without Losing Data
Migrating metadata at cloud scale requires handling drift, partial copies, stale replays, and unsafe cutovers. A safe pattern involves snapshot, copy, replay, validate, cutover, cleanup, and recover steps. Testing failure scenarios like worker crashes and duplicate writes is essential before building the migration pipeline.
Meridian48 take
The article provides a solid architectural pattern, but glosses over the operational complexity of running these steps in production across heterogeneous systems.
metadata-migrationdistributed-systems