Event Sourcing 101: Incorporating Event Storage into Your System

cnfl.io/event-... | Although they offer many advantages, event-based systems can be more challenging to implement than state-based ones: They require more parts than just an app and database, maintaining evolving schemas can be challenging, and their consistency is not always immediate. However, the event-based model works well with many use cases. Events can be added to an existing relational system by using change data capture (CDC) to stream into Apache Kafka®, although replayability won't be possible in this configuration. Replayability, however, can be added by employing the more sophisticated outbox pattern.
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LEARN MORE
► Publishing with Apache Kafka at The New York Times: www.confluent....
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► The Source of Truth: Why The New York Times Stores Every Piece of Content Ever Published in Kafka: www.confluent....
► Advanced Change Data Streaming Patterns in Distributed Systems: www.confluent....
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[@danyald4880]

Nice explanation!

[@frankiekwok9906]

is the reason why CDC is not replayable because we cannot guarantee ordering between partitions in the topic? I guess I'm just confused because technically, (while noisy) can't we store all the events in the Kafka CDC topic and replay those as needed?

[@vijayjayaram606]

Off topic I think it would be easy for you to pick boxing....