AI Briefing#kakaopay
The latest AI and developer news about #kakaopay, with the original source and a short summary.
The latest AI and developer news about #kakaopay, with the original source and a short summary.
Kakaopay migrated the Sajangnim Plus app from its existing RIBs and TCA to a custom MVVM architecture to improve development productivity and readability.
Kakao Pay built a 'Performance Test Zone' that lets developers easily and quickly run performance tests directly in a k8s environment.
Kakao Pay redesigned its RabbitMQ-based delayed transfer service using Kafka, improving processing speed by 8x.
Kakaopay Securities developed an intelligent optimization system called **Dr.Pym** to solve Kubernetes resource shortages and cost issues.
Kakao Pay's DevRel team introduces the rehearsal and speech coaching enhancement process conducted while preparing for the if(kakaoAI)2024 conference.
KakaoPay's Payment Tab has unveiled an architecture that serves diverse content flexibly and reliably by leveraging SDU and BFF structures.
While developing KakaoPay's benefits service, concurrency, DB performance, and idempotency issues were resolved using Redis distributed locks and other methods.
This analyzes a URL processing failure in Kakao Pay's Notification Feed service caused by a behavioral mismatch between Java's URI class and Spring's UriComponentsBuilder.
Kakaopay introduces how it manages code quality and security in a DevSecOps environment using Sonarqube.
A KakaoPay developer shares practical know-how on using Kotlin to build stable backend services.
Kakaopay developers built the Slack bot 'Angmond', equipped with automation and TIL recording features, to energize their tech-sharing culture.
KakaoPay developed a company-wide shared mock server based on open-source MockServer to improve service stability, enhancing testing efficiency.
Kakaopay's **TPM** successfully leads company-wide technology projects through technical roadmap management and agile coaching.
KakaoPay's Money Platform Team shares their hands-on experience of adopting Virtual Thread to improve performance and reduce resource consumption.
KakaoPay's SRE team boosted productivity by reducing the number of staff on standing deployment duty from 10 to 3 through deployment process automation.
Kakaopay resolved large-scale data processing issues on its MyData platform through distributed data storage and the adoption of Palsonic.
This covers the process of analyzing and resolving an issue where the R2DBC connection pool was not initialized at application startup.
Kakaopay has presented a new direction for its development culture that moves beyond 'Eoulim' to emphasize engineers' pride and autonomous growth.
Kakaopay introduced a resource module and standardized usage patterns to manage app size in a multi-module environment.
Kakao Pay introduces the input validation and test code writing strategies it applied during the development of its auto insurance comparison service.
Kakao Pay built an auto insurance comparison service that integrates with multiple partners while remaining easy to maintain and extend.
Introduces how to implement interactive web animations without libraries by leveraging principles of mathematics and physics.
Kakaopay Securities built and is stably operating a Kubernetes-based Redis platform to support its hybrid architecture.
KakaoPay's DevOps team leveraged Google's Autopilot paper to optimize Kubernetes resource allocation and reduce server costs.