AI BriefingImplementing a BFF (Backend For Frontend) Using WebFlux and Coroutines
Key point
Kakao Pay introduced a BFF pattern based on WebFlux and Coroutines for its 'Find Nearby Stores' service.
Details
While developing the 'Find Nearby Stores' service, Kakao Pay applied the BFF (Backend For Frontend) pattern to efficiently deliver data in an MSA environment.
BFF serves the role of providing data optimized for the frontend. By pre-processing data on the server before delivering it, the frontend can focus solely on UI logic, which improves maintainability and encapsulation.
Additionally, BFF acts as an API Aggregator that gathers data from multiple microservices. This reduces network latency in mobile environments and minimizes repetitive authentication processes, maximizing communication efficiency.
To build an asynchronous API server, WebFlux and Coroutines were introduced. This enabled calling multiple APIs in a non-blocking manner, optimizing data collection performance.
This summary was generated automatically by AI. Check the original for the author's claims and context. Copyright belongs to the original author.
Our guide explains how the AI works. Report summary errors, attribution issues, or removal requests via Contact.
Related
Rewriting the Load Test for WebFlux Migration
How does TAM solve problems in fast-moving organizations