AI Briefing#backend
The latest AI and developer news about #backend, with the original source and a short summary.
The latest AI and developer news about #backend, with the original source and a short summary.
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Oliveyoung successfully integrated Hyundai Card rewards and mobile gift certificate payment methods into its order system using APIs.
Oliveyoung changed RabbitMQ's Exchange method and separated the task subject, reducing mass coupon issuance time from 15 hours to the 5-hour range.
Kakao Pay redesigned its RabbitMQ-based delayed transfer service using Kafka, improving processing speed by 8x.
Oliveyoung overhauled its data collection structure to be centered on source data, securing consistency in settlement data and dramatically reducing operational resources.
It presents a step-by-step strategy for applying functional programming to real-world Kotlin backend work, moving beyond abstract theory.
KakaoBank successfully split its Home service into an MSA by moving away from a legacy monolithic server and applying Hexagonal Architecture and coroutines.
Utilized RequestBodyAdvice and Jackson Custom Deserializer to unify the case of 900 DTOs to Camel without server downtime.
Oliveyoung's Inventory Squad introduces how they use Redis Stream to efficiently manage inventory change history for large-scale SKUs.
A total of 89 sessions across 8 tracks, including AI, Backend, and Cloud, will be held over three days from October 22 to 24.
Eleven technical sessions, including KakaoPay's distributed lock for payments and KakaoWork's Rust migration of its messaging engine, will be held on October 24.
Over 90 sessions on AI, mobility, and infrastructure will be held over three days from October 22 to 24 at the Kakao AI Campus.
Kakao revealed a total of 29 technical sessions across four fields—AI, Backend, Cloud, and Data—for the third day of if(kakaoAI)2024.
Olive Young introduced MQ to solve the latency and dependency issues of its existing EAI approach, greatly improving the speed of logistics data transmission.
A KakaoPay developer shares practical know-how on using Kotlin to build stable backend services.
The team established the core definition of search first, then improved it through layer separation and facet automation.
The program operated as a practical backend competency enhancement course featuring Java, Spring, TDD, and direct WAS implementation.
The Backend team redesigned new-hire onboarding around a checklist, missions, and notes.
To solve image upload slowdowns and server load issues, Oliveyoung Shutter introduced parallel uploads and the PreSignedURL method.
For the new service G-world, naming, ERD, and table design were all finished within a month.
A practical guide to minimizing STW by using GOMEMLIMIT instead of GOGC, and reducing GC load through Heap Profile analysis and code optimization tips.
Inflab decided to mix Java and Kotlin in a Spring Boot and JPA-based project.
Oliveyoung's Partner Squad shares the refactoring process and results carried out to improve code readability and maintainability.
By introducing Spring Batch and Kafka, the team resolved server load and user wait-time issues that occurred during large-volume data extraction.