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명세서](https://allens-personal-organization.gitbook.io/hhplus/step6/api-docs)\n### [API Swagger](./docs/swagger.md)\n\n## 성능 개선 및 고도화 보고서\n### [콘서트 예약 시스템에서의 동시성 문제 및 해결 방안](./docs/concurrency.md)\n### [Redis를 이용한 성능 개선 보고서](./docs/performance_improvement_by_redis.md)\n### [인덱스를 이용한 성능 개선 보고서](./docs/db_index.md)\n### [부하 테스트 및 성능 병목 개선 보고서](./docs/failure-troubleshooting.md)\n\n## 개념 정리\n### [Cache](./docs/cache.md)\n### [MSA 전환시 분산 트랜잭션 전략](./docs/msa-architecture-improvement.md)\n\n## 프로젝트\n\n## Getting Started\n\n### Prerequisites\n\n#### Running Docker Containers\n\n`local` profile 로 실행하기 위하여 인프라가 설정되어 있는 Docker 컨테이너를 실행해주셔야 합니다.\n\n```bash\ndocker-compose up -d\n```\n\n### 부하테스트\n```\n1. docker compose -f docker-compose.load-test.yml up --build -d // 부하테스트에 필요한 환경 세팅\n2. http://localhost:3000/login 접속 및 로그인 (ID: admin, PW: admin) // Grafana 로그인\n3. k6 Load Testing Results 대시보드 선택\n3. docker compose -f docker-compose.k6.yml run --rm k6 -- waiting-queue.js // 대기열 부하테스트 실행\n```\n\n### 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