When Kappa Works

Concepts: paKappaArch

What They Want to Hear 'Kappa works when three conditions are met: the event log retains enough history for full reprocessing, the streaming logic can handle both real-time and replay workloads, and the team has the operational maturity to run a streaming platform 24/7. For reprocessing, I deploy a second instance of the streaming job, point it at the beginning of the log, and write to a new output table. When the replay catches up to real-time, I swap the consumer to the new table. The old table is dropped.' This is the answer that shows you understand the operational requirements, not just the theory.