Inventory and catalog drift hurts availability, promise accuracy, and customer trust. This talk shares a production‑proven CDC blueprint using Debezium → Kafka (Avro + Schema Registry) → Kafka Streams state stores to publish Postgres RDS changes, preserve per‑entity ordering, and keep availability accurate in near real time. We’ll cover business‑keyed partitions, compaction, idempotency, handling late/out‑of‑order events, and safe replays/backfills without double‑counting. You’ll see the operational playbook (lag SLOs tied to domain truth, DLQ triage, and runbooks for connector restarts/rebalances) plus governance practices for topic conventions and schema evolution. We’ll close with outcomes from deploying unified outbound inventory events and maintaining bounded lag under bursty load.