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 🎁 쿠다닥 (Kudadak)\n\n선착순 이벤트 시 대규모 트래픽 속에서도 안정성과 성능을 보장하는 쿠폰 발급 시스템\n\n## Project Instruction\n\n본 프로젝트는 선착순 이벤트와 같은 단시간에 트래픽이 급증하는 상황에서도 시스템 가용성을 유지하며 데이터 정합성을 보장하는 쿠폰 발급 시스템입니다.\n\n사용자는 대규모 접속 상황에서도 대기 시간을 최소화하며 빠르고 정확하게 쿠폰을 발급받을 수 있습니다.\n\n## Technologies\n\n![](/docs/image/kudadak-tech-stack.png)\n\n## Coupon Issuance Flow\n\n![](/docs/image/kudadak-process-workflow.png)\n\n## System Architecture\n\n![](/docs/image/kudadak-system-architecture.png)\n\n## Monitoring Architecture\n\n![](/docs/image/kudadak-monitoring-architecture.png)\n\n## Docs\n\n* 도메인 모델링 관련 문서: [Domain Modeling](https://github.com/devFancy/springboot-coupon-system/blob/main/docs/coupon-domain-modeling.md)\n\n* 아키텍쳐와 관련된 결정을 내렸을 때 그 과정을 기록해 두는 문서: [ADR](https://github.com/devFancy/springboot-coupon-system/tree/main/docs/architecture-decision-record)\n\n## Blog Posts\n\n* 재처리 및 DLQ 적용: [시스템 장애를 처리하기 위해 재처리 및 DLQ 적용하기](https://devfancy.github.io/spring-boot-kafka-dlq/)\n\n* 성능 개선: [AWS EC2 기반 부하 테스트를 진행하며 시스템 아키텍처 및 성능 개선하기](https://devfancy.github.io/spring-boot-coupon-system-performance-improvement/)\n\n* 에러 추적: [Spring Boot에서 Sentry를 이용한 에러 추적 시스템 개선하기](https://devfancy.github.io/spring-boot-sentry/)\n\n* 분산 추적: [MDC와 GlobalTraceId를 활용한 분산 추적](https://devfancy.github.io/SpringBoot-Distributed-Tracing-With-MDC/)\n\n* 모니터링 구축: [Prometheus와 Grafana로 Spring Boot 기반 모니터링 대시보드 구축하기](https://devfancy.github.io/SpringBoot-Monitoring-Prometheus-Grafana/)\n\n* 로그 추적: [Spring Boot 요청 흐름 추적: Logging Filter와 traceId 적용기](https://devfancy.github.io/SpringBoot-Logging-Filter/)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdevfancy%2Fspringboot-coupon-system","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdevfancy%2Fspringboot-coupon-system","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdevfancy%2Fspringboot-coupon-system/lists"}