designing-backfills-and-replays

Plan and run safe data backfills and replays — idempotent reprocessing of historical windows, partition-by-partition execution, isolating backfill compute from production, verifying results, and avoiding double-counting or changed history. Use when backfilling a new or fixed model, reprocessing after a bug, replaying events, or loading history for a new pipeline without corrupting existing data.