ETL

Event-driven architectures with Kafka have become a standard way of building modern microservices. At first, everything works smoothly - services communicate via events, state is rebuilt from event streams, and the system scales well. But as your data grows, you face an inevitable challenge: what happens when you need to access historical events that are no longer in Kafka? 1. The Problem: Finite Retention & The Need for Backfills In a perfect world, we would keep every event log in Kafka forever. In the real world, however, storing an ever-growing history on high-performance broker disks is prohibitively expensive. ...