AI BriefingAdopting Event Streaming and Future Use Cases
Key point
29CM shares the background behind adopting Event Streaming to respond to the growth of real-time data and its future direction of use.
Details
In the 29CM service, the real-time data generated by customer behavior continues to grow. As the ability to quickly detect trends and respond agilely became a key factor in business performance, adopting Event Streaming was selected as a major task in the 29CM Architecture Manifesto.
The talk was presented by Backend Engineer Yoon Jeong-o. It shares what problems 29CM is considering in order to deliver products to customers efficiently and reliably, what problems Event Streaming solved in the service, and how it can be utilized going forward.
The key messages are as follows.
- As the amount of data generated in real time increases, existing methods alone have made it difficult to respond quickly.
- Event Streaming was adopted as a foundation for detecting and responding to changing trends more quickly.
- By also presenting future directions for its use, it shows the evolution of the data processing architecture of the 29CM service.
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