AI BriefingBuilding EDA with Kafka Streams: Oliveyoung's Out-of-Stock System Modernization Project
Key point
Oliveyoung adopted a Kafka Streams-based EDA architecture to reduce DB dependency and reflect inventory in real time.
Details
Oliveyoung's existing out-of-stock lookup method directly called Oracle DB functions, which caused DB load and service delays during high-traffic situations.
To solve this, they introduced Event-Driven Architecture (EDA) to remove DB dependency and lower coupling between services. They used OGG (Oracle GoldenGate) to capture change data, and built a real-time data pipeline using AWS MSK and Kafka Streams.
The key features of the new architecture are as follows.
- Real-time capability: When an inventory change event occurs, the event is published immediately and reflected in OpenSearch, improving data consistency issues.
- Scalability and flexibility: When a new service is needed, it can be easily extended simply by subscribing to events.
- Use of Kafka Streams: Guarantees Exactly-once processing, and efficiently implements complex logic through the Streams DSL and Processor API.
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