AI Briefing#aop
The latest AI and developer news about #aop, with the original source and a short summary.
The latest AI and developer news about #aop, with the original source and a short summary.
KakaoPay Insurance safely removed legacy modules in production and laid the groundwork for a Spring Boot upgrade using an AOP-based Shadow comparison strategy.
Oliveyoung developed a custom annotation-based cache module to improve the inconvenience of Spring's existing cache and circuit breaker settings.
Tracks interface history and call stacks using AOP, MDC, and Kafka Interceptor.
A 5-minute batch notification system was replaced with real-time exception notifications based on AOP and Redis.
Proxies, rollback marking, propagation options, and Kotlin exception conversion determine what actually gets rolled back.
Olive Young integrated its Gift section with its display strategy and introduced custom annotations to solve DB load and data delay issues.
Improve detection of Spring AOP runtime errors at compile time using Kotlin extension functions.
This presents a way to solve the implementation hassle and internal call problem of Spring AOP by leveraging Kotlin's syntactic features.
Kurly used Redisson and AOP to resolve concurrency issues in its inbound service and ensure data consistency.