이벤트별 성과분석 날짜 로직 수정 및 설정 개선

- EventCreatedEvent, EventStats에 startDate, endDate 필드 추가
- EventCreatedConsumer에서 이벤트 시작/종료 날짜 저장
- SampleDataLoader에서 실제 날짜로 이벤트 발행
  - evt_2025012301: 2025-01-23 시작 (ACTIVE)
  - evt_2025020101: 2025-02-01 시작 (ACTIVE)
  - evt_2025011501: 2025-01-15~2025-01-31 (COMPLETED)
- AnalyticsService: 이벤트 시작일~종료일(또는 현재) 기간 계산
- UserAnalyticsService: 가장 빠른 이벤트 시작일~현재 기간 계산
- application.yml에서 중복된 context-path 제거
- Consumer Group ID를 analytics-service-consumers-v3로 통일

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

.claude/commands/deploy-actions-cicd-guide-back.md

@@ -1,10 +1,13 @@
 ---
 command: "/deploy-actions-cicd-guide-back"
+description: "백엔드 GitHub Actions CI/CD 파이프라인 가이드 작성"
 ---
 
 @cicd
 '백엔드GitHubActions파이프라인작성가이드'에 따라 GitHub Actions를 이용한 CI/CD 가이드를 작성해 주세요.
+
 프롬프트에 '[실행정보]'항목이 없으면 수행을 중단하고 안내 메시지를 표시해 주세요.
+
 {안내메시지}
 '[실행정보]'섹션 하위에 아래 예와 같이 필요한 정보를 제시해 주세요.
 [실행정보]

.claude/commands/deploy-actions-cicd-guide-front.md

@@ -1,10 +1,13 @@
 ---
 command: "/deploy-actions-cicd-guide-front"
+description: "프론트엔드 GitHub Actions CI/CD 파이프라인 가이드 작성"
 ---
 
 @cicd
 '프론트엔드GitHubActions파이프라인작성가이드'에 따라 GitHub Actions를 이용한 CI/CD 가이드를 작성해 주세요.
+
 프롬프트에 '[실행정보]'항목이 없으면 수행을 중단하고 안내 메시지를 표시해 주세요.
+
 {안내메시지}
 '[실행정보]'섹션 하위에 아래 예와 같이 필요한 정보를 제시해 주세요.
 [실행정보]

.claude/commands/deploy-build-image-back.md

@@ -1,5 +1,6 @@
 ---
 command: "/deploy-build-image-back"
+description: "백엔드 컨테이너 이미지 작성"
 ---
 
 @cicd

.claude/commands/deploy-build-image-front.md

@@ -1,5 +1,6 @@
 ---
 command: "/deploy-build-image-front"
+description: "프론트엔드 컨테이너 이미지 작성"
 ---
 
 @cicd

.claude/commands/deploy-help.md

@@ -1,81 +1,64 @@
 ---
 command: "/deploy-help"
+description: "배포 작업 순서 및 명령어 안내"
 ---
 
 # 배포 작업 순서
 
-## 1단계: 컨테이너 이미지 작성
+## 컨테이너 이미지 작성
 ### 백엔드
-```
 /deploy-build-image-back
-```
+- 백엔드 서비스들의 컨테이너 이미지를 작성합니다
-- 백엔드컨테이너이미지작성가이드를 참고하여 컨테이너 이미지를 빌드합니다
 
 ### 프론트엔드
-```
 /deploy-build-image-front
-```
+- 프론트엔드 서비스의 컨테이너 이미지를 작성합니다
-- 프론트엔드컨테이너이미지작성가이드를 참고하여 컨테이너 이미지를 빌드합니다
 
-## 2단계: 컨테이너 실행 가이드 작성
+## 컨테이너 실행 가이드 작성
 ### 백엔드
-```
 /deploy-run-container-guide-back
-```
+- 백엔드 컨테이너 실행 가이드를 작성합니다
-- 백엔드컨테이너실행방법가이드를 참고하여 컨테이너 실행 방법을 작성합니다
+- [실행정보] 섹션에 ACR명, VM 접속 정보 제공 필요
-- 실행정보(ACR명, VM정보)가 필요합니다
 
 ### 프론트엔드
-```
 /deploy-run-container-guide-front
-```
+- 프론트엔드 컨테이너 실행 가이드를 작성합니다
-- 프론트엔드컨테이너실행방법가이드를 참고하여 컨테이너 실행 방법을 작성합니다
+- [실행정보] 섹션에 시스템명, ACR명, VM 접속 정보 제공 필요
-- 실행정보(시스템명, ACR명, VM정보)가 필요합니다
 
-## 3단계: Kubernetes 배포 가이드 작성
+## Kubernetes 배포 가이드 작성
 ### 백엔드
-```
 /deploy-k8s-guide-back
-```
+- 백엔드 서비스 Kubernetes 배포 가이드를 작성합니다
-- 백엔드배포가이드를 참고하여 쿠버네티스 배포 방법을 작성합니다
+- [실행정보] 섹션에 ACR명, k8s명, 네임스페이스, 리소스 정보 제공 필요
-- 실행정보(ACR명, k8s명, 네임스페이스, 리소스 설정)가 필요합니다
 
 ### 프론트엔드
-```
 /deploy-k8s-guide-front
-```
+- 프론트엔드 서비스 Kubernetes 배포 가이드를 작성합니다
-- 프론트엔드배포가이드를 참고하여 쿠버네티스 배포 방법을 작성합니다
+- [실행정보] 섹션에 시스템명, ACR명, k8s명, 네임스페이스, Gateway Host 정보 제공 필요
-- 실행정보(시스템명, ACR명, k8s명, 네임스페이스, Gateway Host, 리소스 설정)가 필요합니다
 
-## 4단계: CI/CD 파이프라인 구성
+## CI/CD 파이프라인 작성
-
+### Jenkins CI/CD
-### Jenkins 사용 시
 #### 백엔드
-```
 /deploy-jenkins-cicd-guide-back
-```
+- Jenkins를 이용한 백엔드 CI/CD 파이프라인 가이드를 작성합니다
-- 백엔드Jenkins파이프라인작성가이드를 참고하여 Jenkins CI/CD 파이프라인을 구성합니다
+- [실행정보] 섹션에 ACR_NAME, RESOURCE_GROUP, AKS_CLUSTER, NAMESPACE 제공 필요
 
 #### 프론트엔드
-```
 /deploy-jenkins-cicd-guide-front
-```
+- Jenkins를 이용한 프론트엔드 CI/CD 파이프라인 가이드를 작성합니다
-- 프론트엔드Jenkins파이프라인작성가이드를 참고하여 Jenkins CI/CD 파이프라인을 구성합니다
+- [실행정보] 섹션에 SYSTEM_NAME, ACR_NAME, RESOURCE_GROUP, AKS_CLUSTER, NAMESPACE 제공 필요
 
-### GitHub Actions 사용 시
+### GitHub Actions CI/CD
 #### 백엔드
-```
 /deploy-actions-cicd-guide-back
-```
+- GitHub Actions를 이용한 백엔드 CI/CD 파이프라인 가이드를 작성합니다
-- 백엔드GitHubActions파이프라인작성가이드를 참고하여 GitHub Actions CI/CD 파이프라인을 구성합니다
+- [실행정보] 섹션에 ACR_NAME, RESOURCE_GROUP, AKS_CLUSTER, NAMESPACE 제공 필요
 
 #### 프론트엔드
-```
 /deploy-actions-cicd-guide-front
-```
+- GitHub Actions를 이용한 프론트엔드 CI/CD 파이프라인 가이드를 작성합니다
-- 프론트엔드GitHubActions파이프라인작성가이드를 참고하여 GitHub Actions CI/CD 파이프라인을 구성합니다
+- [실행정보] 섹션에 SYSTEM_NAME, ACR_NAME, RESOURCE_GROUP, AKS_CLUSTER, NAMESPACE 제공 필요
 
-## 참고사항
+---
-- 각 명령 실행 전 필요한 실행정보를 프롬프트에 포함해야 합니다
+
-- 실행정보가 없으면 안내 메시지가 표시되며 작업이 중단됩니다
+**참고**: 각 명령어 실행 시 [실행정보] 섹션에 필요한 정보를 함께 제공해야 합니다.
-- CI/CD 도구는 Jenkins 또는 GitHub Actions 중 선택하여 사용합니다

.claude/commands/deploy-jenkins-cicd-guide-back.md

@@ -1,10 +1,13 @@
 ---
 command: "/deploy-jenkins-cicd-guide-back"
+description: "백엔드 Jenkins CI/CD 파이프라인 가이드 작성"
 ---
 
 @cicd
 '백엔드Jenkins파이프라인작성가이드'에 따라 Jenkins를 이용한 CI/CD 가이드를 작성해 주세요.
+
 프롬프트에 '[실행정보]'항목이 없으면 수행을 중단하고 안내 메시지를 표시해 주세요.
+
 {안내메시지}
 '[실행정보]'섹션 하위에 아래 예와 같이 필요한 정보를 제시해 주세요.
 [실행정보]

.claude/commands/deploy-jenkins-cicd-guide-front.md

@@ -1,10 +1,13 @@
 ---
 command: "/deploy-jenkins-cicd-guide-front"
+description: "프론트엔드 Jenkins CI/CD 파이프라인 가이드 작성"
 ---
 
 @cicd
 '프론트엔드Jenkins파이프라인작성가이드'에 따라 Jenkins를 이용한 CI/CD 가이드를 작성해 주세요.
+
 프롬프트에 '[실행정보]'항목이 없으면 수행을 중단하고 안내 메시지를 표시해 주세요.
+
 {안내메시지}
 '[실행정보]'섹션 하위에 아래 예와 같이 필요한 정보를 제시해 주세요.
 [실행정보]

.claude/commands/deploy-k8s-guide-back.md

@@ -1,10 +1,13 @@
 ---
 command: "/deploy-k8s-guide-back"
+description: "백엔드 Kubernetes 배포 가이드 작성"
 ---
 
 @cicd
 '백엔드배포가이드'에 따라 백엔드 서비스 배포 방법을 작성해 주세요.
+
 프롬프트에 '[실행정보]'항목이 없으면 수행을 중단하고 안내 메시지를 표시해 주세요.
+
 {안내메시지}
 '[실행정보]'섹션 하위에 아래 예와 같이 필요한 정보를 제시해 주세요.
 [실행정보]

.claude/commands/deploy-k8s-guide-front.md

@@ -1,10 +1,13 @@
 ---
 command: "/deploy-k8s-guide-front"
+description: "프론트엔드 Kubernetes 배포 가이드 작성"
 ---
 
 @cicd
 '프론트엔드배포가이드'에 따라 프론트엔드 서비스 배포 방법을 작성해 주세요.
+
 프롬프트에 '[실행정보]'항목이 없으면 수행을 중단하고 안내 메시지를 표시해 주세요.
+
 {안내메시지}
 '[실행정보]'섹션 하위에 아래 예와 같이 필요한 정보를 제시해 주세요.
 [실행정보]

.claude/commands/deploy-run-container-guide-back.md

@@ -1,10 +1,13 @@
 ---
 command: "/deploy-run-container-guide-back"
+description: "백엔드 컨테이너 실행방법 가이드 작성"
 ---
 
 @cicd
 '백엔드컨테이너실행방법가이드'에 따라 컨테이너 실행 가이드를 작성해 주세요.
+
 프롬프트에 '[실행정보]'항목이 없으면 수행을 중단하고 안내 메시지를 표시해 주세요.
+
 {안내메시지}
 '[실행정보]'섹션 하위에 아래 예와 같이 필요한 정보를 제시해 주세요.
 [실행정보]

.claude/commands/deploy-run-container-guide-front.md

@@ -1,10 +1,13 @@
 ---
 command: "/deploy-run-container-guide-front"
+description: "프론트엔드 컨테이너 실행방법 가이드 작성"
 ---
 
 @cicd
 '프론트엔드컨테이너실행방법가이드'에 따라 컨테이너 실행 가이드를 작성해 주세요.
+
 프롬프트에 '[실행정보]'항목이 없으면 수행을 중단하고 안내 메시지를 표시해 주세요.
+
 {안내메시지}
 '[실행정보]'섹션 하위에 아래 예와 같이 필요한 정보를 제시해 주세요.
 [실행정보]

.github/README.md

@@ -0,0 +1,186 @@
+# KT Event Marketing - CI/CD Infrastructure
+
+이 디렉토리는 KT Event Marketing 백엔드 서비스의 CI/CD 인프라를 포함합니다.
+
+## 디렉토리 구조
+
+```
+.github/
+├── README.md                          # 이 파일
+├── workflows/
+│   └── backend-cicd.yaml             # GitHub Actions 워크플로우
+├── kustomize/                         # Kubernetes 매니페스트 관리
+│   ├── base/                         # 기본 리소스 정의
+│   │   ├── kustomization.yaml
+│   │   ├── cm-common.yaml
+│   │   ├── secret-common.yaml
+│   │   ├── secret-imagepull.yaml
+│   │   ├── ingress.yaml
+│   │   └── {service}-*.yaml         # 각 서비스별 리소스
+│   └── overlays/                     # 환경별 설정
+│       ├── dev/
+│       │   ├── kustomization.yaml
+│       │   └── *-patch.yaml         # 1 replica, 256Mi-1024Mi
+│       ├── staging/
+│       │   ├── kustomization.yaml
+│       │   └── *-patch.yaml         # 2 replicas, 512Mi-2048Mi
+│       └── prod/
+│           ├── kustomization.yaml
+│           └── *-patch.yaml         # 3 replicas, 1024Mi-4096Mi
+├── config/
+│   ├── deploy_env_vars_dev          # Dev 환경 변수
+│   ├── deploy_env_vars_staging      # Staging 환경 변수
+│   └── deploy_env_vars_prod         # Prod 환경 변수
+└── scripts/
+    ├── deploy.sh                     # 수동 배포 스크립트
+    ├── generate-patches.sh           # 패치 파일 생성 스크립트
+    └── copy-manifests-to-base.py    # 매니페스트 복사 스크립트
+```
+
+## 주요 파일 설명
+
+### workflows/backend-cicd.yaml
+GitHub Actions 워크플로우 정의 파일입니다.
+
+**트리거**:
+- develop 브랜치 push → dev 환경 배포
+- main 브랜치 push → prod 환경 배포
+- Manual workflow dispatch → 원하는 환경과 서비스 선택
+
+**Jobs**:
+1. `detect-changes`: 변경된 서비스 감지
+2. `build-and-push`: 서비스 빌드 및 ACR 푸시
+3. `deploy`: AKS에 배포
+4. `notify`: 배포 결과 알림
+
+### kustomize/base/kustomization.yaml
+모든 환경에서 공통으로 사용하는 기본 리소스를 정의합니다.
+
+**포함 리소스**:
+- Common ConfigMaps and Secrets
+- Ingress
+- 7개 서비스의 Deployment, Service, ConfigMap, Secret
+
+### kustomize/overlays/{env}/kustomization.yaml
+환경별 설정을 오버라이드합니다.
+
+**주요 차이점**:
+- 이미지 태그 (dev/staging/prod)
+- Replica 수 (1/2/3)
+- 리소스 할당량 (작음/중간/큼)
+
+### scripts/deploy.sh
+로컬에서 수동 배포를 위한 스크립트입니다.
+
+**사용법**:
+```bash
+# 모든 서비스를 dev 환경에 배포
+./scripts/deploy.sh dev
+
+# 특정 서비스만 prod 환경에 배포
+./scripts/deploy.sh prod user-service
+```
+
+## 배포 프로세스
+
+### 자동 배포 (GitHub Actions)
+
+1. **Dev 환경**:
+   ```bash
+   git checkout develop
+   git push origin develop
+   ```
+
+2. **Prod 환경**:
+   ```bash
+   git checkout main
+   git merge develop
+   git push origin main
+   ```
+
+3. **수동 배포**:
+   - GitHub Actions UI → Run workflow
+   - Environment 선택 (dev/staging/prod)
+   - Service 선택 (all 또는 특정 서비스)
+
+### 수동 배포 (로컬)
+
+```bash
+# 사전 요구사항: Azure CLI, kubectl, kustomize 설치
+# Azure 로그인 필요
+
+# Dev 환경에 모든 서비스 배포
+./.github/scripts/deploy.sh dev
+
+# Prod 환경에 user-service만 배포
+./.github/scripts/deploy.sh prod user-service
+```
+
+## 환경별 설정
+
+| 환경 | 브랜치 | 이미지 태그 | Replicas | CPU Request | Memory Request |
+|------|--------|-------------|----------|-------------|----------------|
+| Dev | develop | dev | 1 | 256m | 256Mi |
+| Staging | manual | staging | 2 | 512m | 512Mi |
+| Prod | main | prod | 3 | 1024m | 1024Mi |
+
+## 서비스 목록
+
+1. **user-service** (8081) - 사용자 관리
+2. **event-service** (8082) - 이벤트 관리
+3. **ai-service** (8083) - AI 기반 콘텐츠 생성
+4. **content-service** (8084) - 콘텐츠 관리
+5. **distribution-service** (8085) - 경품 배포
+6. **participation-service** (8086) - 이벤트 참여
+7. **analytics-service** (8087) - 분석 및 통계
+
+## 모니터링
+
+### Pod 상태 확인
+```bash
+kubectl get pods -n kt-event-marketing
+```
+
+### 로그 확인
+```bash
+# 실시간 로그
+kubectl logs -n kt-event-marketing -l app=user-service -f
+
+# 이전 컨테이너 로그
+kubectl logs -n kt-event-marketing <pod-name> --previous
+```
+
+### 리소스 사용량
+```bash
+# Pod 리소스
+kubectl top pods -n kt-event-marketing
+
+# Node 리소스
+kubectl top nodes
+```
+
+## 트러블슈팅
+
+상세한 트러블슈팅 가이드는 [deployment/cicd/CICD-GUIDE.md](../../deployment/cicd/CICD-GUIDE.md)를 참조하세요.
+
+**주요 문제 해결**:
+- ImagePullBackOff → ACR Secret 확인
+- CrashLoopBackOff → 로그 확인 및 환경 변수 검증
+- Readiness Probe Failed → Context Path 및 Actuator 경로 확인
+
+## 롤백
+
+```bash
+# 이전 버전으로 롤백
+kubectl rollout undo deployment/user-service -n kt-event-marketing
+
+# 특정 리비전으로 롤백
+kubectl rollout undo deployment/user-service --to-revision=2 -n kt-event-marketing
+```
+
+## 참고 자료
+
+- [CI/CD 가이드 (한글)](../../deployment/cicd/CICD-GUIDE.md)
+- [GitHub Actions 공식 문서](https://docs.github.com/en/actions)
+- [Kustomize 공식 문서](https://kustomize.io/)
+- [Azure AKS 공식 문서](https://docs.microsoft.com/en-us/azure/aks/)

.github/config/deploy_env_vars_dev

@@ -0,0 +1,11 @@
+# Development Environment Variables
+ENVIRONMENT=dev
+ACR_NAME=acrdigitalgarage01
+RESOURCE_GROUP=rg-digitalgarage-01
+AKS_CLUSTER=aks-digitalgarage-01
+NAMESPACE=kt-event-marketing
+REPLICAS=1
+CPU_REQUEST=256m
+MEMORY_REQUEST=256Mi
+CPU_LIMIT=1024m
+MEMORY_LIMIT=1024Mi

.github/config/deploy_env_vars_prod

@@ -0,0 +1,11 @@
+# Production Environment Variables
+ENVIRONMENT=prod
+ACR_NAME=acrdigitalgarage01
+RESOURCE_GROUP=rg-digitalgarage-01
+AKS_CLUSTER=aks-digitalgarage-01
+NAMESPACE=kt-event-marketing
+REPLICAS=3
+CPU_REQUEST=1024m
+MEMORY_REQUEST=1024Mi
+CPU_LIMIT=4096m
+MEMORY_LIMIT=4096Mi

.github/config/deploy_env_vars_staging

@@ -0,0 +1,11 @@
+# Staging Environment Variables
+ENVIRONMENT=staging
+ACR_NAME=acrdigitalgarage01
+RESOURCE_GROUP=rg-digitalgarage-01
+AKS_CLUSTER=aks-digitalgarage-01
+NAMESPACE=kt-event-marketing
+REPLICAS=2
+CPU_REQUEST=512m
+MEMORY_REQUEST=512Mi
+CPU_LIMIT=2048m
+MEMORY_LIMIT=2048Mi

.github/kustomize/base/ai-service-cm-ai-service.yaml

@@ -0,0 +1,55 @@
+apiVersion: v1
+kind: ConfigMap
+metadata:
+  name: cm-ai-service
+data:
+  # Server Configuration
+  SERVER_PORT: "8083"
+
+  # Redis Configuration (service-specific)
+  REDIS_DATABASE: "3"
+  REDIS_TIMEOUT: "3000"
+  REDIS_POOL_MIN: "2"
+
+  # Kafka Configuration (service-specific)
+  KAFKA_CONSUMER_GROUP: "ai-service-consumers"
+
+  # Kafka Topics Configuration
+  KAFKA_TOPICS_AI_JOB: "ai-event-generation-job"
+  KAFKA_TOPICS_AI_JOB_DLQ: "ai-event-generation-job-dlq"
+
+  # AI Provider Configuration
+  AI_PROVIDER: "CLAUDE"
+  AI_CLAUDE_API_URL: "https://api.anthropic.com/v1/messages"
+  AI_CLAUDE_ANTHROPIC_VERSION: "2023-06-01"
+  AI_CLAUDE_MODEL: "claude-sonnet-4-5-20250929"
+  AI_CLAUDE_MAX_TOKENS: "4096"
+  AI_CLAUDE_TEMPERATURE: "0.7"
+  AI_CLAUDE_TIMEOUT: "300000"
+
+  # Circuit Breaker Configuration
+  RESILIENCE4J_CIRCUITBREAKER_FAILURE_RATE_THRESHOLD: "50"
+  RESILIENCE4J_CIRCUITBREAKER_SLOW_CALL_RATE_THRESHOLD: "50"
+  RESILIENCE4J_CIRCUITBREAKER_SLOW_CALL_DURATION_THRESHOLD: "60s"
+  RESILIENCE4J_CIRCUITBREAKER_PERMITTED_CALLS_HALF_OPEN: "3"
+  RESILIENCE4J_CIRCUITBREAKER_SLIDING_WINDOW_SIZE: "10"
+  RESILIENCE4J_CIRCUITBREAKER_MINIMUM_CALLS: "5"
+  RESILIENCE4J_CIRCUITBREAKER_WAIT_DURATION_OPEN: "60s"
+  RESILIENCE4J_TIMELIMITER_TIMEOUT_DURATION: "300s"
+
+  # Redis Cache TTL Configuration (seconds)
+  CACHE_TTL_RECOMMENDATION: "86400"
+  CACHE_TTL_JOB_STATUS: "86400"
+  CACHE_TTL_TREND: "3600"
+  CACHE_TTL_FALLBACK: "604800"
+
+  # Logging Configuration
+  LOG_LEVEL_ROOT: "INFO"
+  LOG_LEVEL_AI: "DEBUG"
+  LOG_LEVEL_KAFKA: "INFO"
+  LOG_LEVEL_REDIS: "INFO"
+  LOG_LEVEL_RESILIENCE4J: "DEBUG"
+  LOG_FILE_NAME: "logs/ai-service.log"
+  LOG_FILE_MAX_SIZE: "10MB"
+  LOG_FILE_MAX_HISTORY: "7"
+  LOG_FILE_TOTAL_CAP: "100MB"

.github/kustomize/base/ai-service-deployment.yaml

@@ -0,0 +1,62 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: ai-service
+  labels:
+    app: ai-service
+spec:
+  replicas: 1
+  selector:
+    matchLabels:
+      app: ai-service
+  template:
+    metadata:
+      labels:
+        app: ai-service
+    spec:
+      imagePullSecrets:
+        - name: kt-event-marketing
+      containers:
+        - name: ai-service
+          image: acrdigitalgarage01.azurecr.io/kt-event-marketing/ai-service:latest
+          imagePullPolicy: Always
+          ports:
+            - containerPort: 8083
+              name: http
+          envFrom:
+            - configMapRef:
+                name: cm-common
+            - configMapRef:
+                name: cm-ai-service
+            - secretRef:
+                name: secret-common
+            - secretRef:
+                name: secret-ai-service
+          resources:
+            requests:
+              cpu: "256m"
+              memory: "256Mi"
+            limits:
+              cpu: "1024m"
+              memory: "1024Mi"
+          startupProbe:
+            httpGet:
+              path: /actuator/health
+              port: 8083
+            initialDelaySeconds: 30
+            periodSeconds: 10
+            failureThreshold: 30
+          readinessProbe:
+            httpGet:
+              path: /actuator/health/readiness
+              port: 8083
+            initialDelaySeconds: 10
+            periodSeconds: 5
+            failureThreshold: 3
+          livenessProbe:
+            httpGet:
+              path: /actuator/health/liveness
+              port: 8083
+            initialDelaySeconds: 30
+            periodSeconds: 10
+            failureThreshold: 3

.github/kustomize/base/ai-service-secret-ai-service.yaml

@@ -0,0 +1,8 @@
+apiVersion: v1
+kind: Secret
+metadata:
+  name: secret-ai-service
+type: Opaque
+stringData:
+  # Claude API Key
+  AI_CLAUDE_API_KEY: "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"

.github/kustomize/base/ai-service-service.yaml

@@ -0,0 +1,15 @@
+apiVersion: v1
+kind: Service
+metadata:
+  name: ai-service
+  labels:
+    app: ai-service
+spec:
+  type: ClusterIP
+  ports:
+    - port: 80
+      targetPort: 8083
+      protocol: TCP
+      name: http
+  selector:
+    app: ai-service

.github/kustomize/base/analytics-service-cm-analytics-service.yaml

@@ -0,0 +1,37 @@
+apiVersion: v1
+kind: ConfigMap
+metadata:
+  name: cm-analytics-service
+data:
+  # Server Configuration
+  SERVER_PORT: "8086"
+
+  # Database Configuration
+  DB_HOST: "analytic-postgresql"
+  DB_PORT: "5432"
+  DB_NAME: "analytics_db"
+  DB_USERNAME: "eventuser"
+
+  # Redis Configuration (service-specific)
+  REDIS_DATABASE: "5"
+
+  # Kafka Configuration (service-specific)
+  KAFKA_ENABLED: "true"
+  KAFKA_CONSUMER_GROUP_ID: "analytics-service"
+
+  # Sample Data Configuration (MVP only)
+  SAMPLE_DATA_ENABLED: "true"
+
+  # Batch Scheduler Configuration
+  BATCH_REFRESH_INTERVAL: "300000"  # 5분 (밀리초)
+  BATCH_INITIAL_DELAY: "30000"      # 30초 (밀리초)
+  BATCH_ENABLED: "true"
+
+  # Logging Configuration
+  LOG_LEVEL_APP: "INFO"
+  LOG_LEVEL_WEB: "INFO"
+  LOG_LEVEL_SQL: "WARN"
+  LOG_LEVEL_SQL_TYPE: "WARN"
+  SHOW_SQL: "false"
+  DDL_AUTO: "update"
+  LOG_FILE: "logs/analytics-service.log"

.github/kustomize/base/analytics-service-deployment.yaml

@@ -0,0 +1,62 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: analytics-service
+  labels:
+    app: analytics-service
+spec:
+  replicas: 1
+  selector:
+    matchLabels:
+      app: analytics-service
+  template:
+    metadata:
+      labels:
+        app: analytics-service
+    spec:
+      imagePullSecrets:
+        - name: kt-event-marketing
+      containers:
+        - name: analytics-service
+          image: acrdigitalgarage01.azurecr.io/kt-event-marketing/analytics-service:latest
+          imagePullPolicy: Always
+          ports:
+            - containerPort: 8086
+              name: http
+          envFrom:
+            - configMapRef:
+                name: cm-common
+            - configMapRef:
+                name: cm-analytics-service
+            - secretRef:
+                name: secret-common
+            - secretRef:
+                name: secret-analytics-service
+          resources:
+            requests:
+              cpu: "256m"
+              memory: "256Mi"
+            limits:
+              cpu: "1024m"
+              memory: "1024Mi"
+          startupProbe:
+            httpGet:
+              path: /actuator/health/liveness
+              port: 8086
+            initialDelaySeconds: 60
+            periodSeconds: 10
+            failureThreshold: 30
+          livenessProbe:
+            httpGet:
+              path: /actuator/health/liveness
+              port: 8086
+            initialDelaySeconds: 0
+            periodSeconds: 10
+            failureThreshold: 3
+          readinessProbe:
+            httpGet:
+              path: /actuator/health/readiness
+              port: 8086
+            initialDelaySeconds: 0
+            periodSeconds: 10
+            failureThreshold: 3

.github/kustomize/base/analytics-service-secret-analytics-service.yaml

@@ -0,0 +1,7 @@
+apiVersion: v1
+kind: Secret
+metadata:
+  name: secret-analytics-service
+type: Opaque
+stringData:
+  DB_PASSWORD: "Hi5Jessica!"

.github/kustomize/base/analytics-service-service.yaml

@@ -0,0 +1,15 @@
+apiVersion: v1
+kind: Service
+metadata:
+  name: analytics-service
+  labels:
+    app: analytics-service
+spec:
+  type: ClusterIP
+  ports:
+    - port: 80
+      targetPort: 8086
+      protocol: TCP
+      name: http
+  selector:
+    app: analytics-service

.github/kustomize/base/cm-common.yaml

@@ -0,0 +1,46 @@
+apiVersion: v1
+kind: ConfigMap
+metadata:
+  name: cm-common
+data:
+  # Redis Configuration
+  REDIS_ENABLED: "true"
+  REDIS_HOST: "redis"
+  REDIS_PORT: "6379"
+  REDIS_TIMEOUT: "2000ms"
+  REDIS_POOL_MAX: "8"
+  REDIS_POOL_IDLE: "8"
+  REDIS_POOL_MIN: "0"
+  REDIS_POOL_WAIT: "-1ms"
+
+  # Kafka Configuration
+  KAFKA_BOOTSTRAP_SERVERS: "20.249.182.13:9095,4.217.131.59:9095"
+  EXCLUDE_KAFKA: ""
+  EXCLUDE_REDIS: ""
+
+  # CORS Configuration
+  CORS_ALLOWED_ORIGINS: "http://localhost:8081,http://localhost:8082,http://localhost:8083,http://localhost:8084,http://kt-event-marketing.20.214.196.128.nip.io"
+  CORS_ALLOWED_METHODS: "GET,POST,PUT,DELETE,OPTIONS,PATCH"
+  CORS_ALLOWED_HEADERS: "*"
+  CORS_ALLOW_CREDENTIALS: "true"
+  CORS_MAX_AGE: "3600"
+
+  # JWT Configuration
+  JWT_ACCESS_TOKEN_VALIDITY: "604800000"
+  JWT_REFRESH_TOKEN_VALIDITY: "86400000"
+
+  # JPA Configuration
+  DDL_AUTO: "update"
+  SHOW_SQL: "false"
+  JPA_DIALECT: "org.hibernate.dialect.PostgreSQLDialect"
+  H2_CONSOLE_ENABLED: "false"
+
+  # Logging Configuration
+  LOG_LEVEL_APP: "INFO"
+  LOG_LEVEL_WEB: "INFO"
+  LOG_LEVEL_SQL: "WARN"
+  LOG_LEVEL_SQL_TYPE: "WARN"
+  LOG_LEVEL_ROOT: "INFO"
+  LOG_FILE_MAX_SIZE: "10MB"
+  LOG_FILE_MAX_HISTORY: "7"
+  LOG_FILE_TOTAL_CAP: "100MB"

.github/kustomize/base/content-service-cm-content-service.yaml

@@ -0,0 +1,24 @@
+apiVersion: v1
+kind: ConfigMap
+metadata:
+  name: cm-content-service
+data:
+  # Server Configuration
+  SERVER_PORT: "8084"
+
+  # Redis Configuration (service-specific)
+  REDIS_DATABASE: "1"
+
+  # Replicate API Configuration (Stable Diffusion)
+  REPLICATE_API_URL: "https://api.replicate.com"
+  REPLICATE_MODEL_VERSION: "stability-ai/sdxl:39ed52f2a78e934b3ba6e2a89f5b1c712de7dfea535525255b1aa35c5565e08b"
+
+  # HuggingFace API Configuration
+  HUGGINGFACE_API_URL: "https://api-inference.huggingface.co"
+  HUGGINGFACE_MODEL: "runwayml/stable-diffusion-v1-5"
+
+  # Azure Blob Storage Configuration
+  AZURE_CONTAINER_NAME: "content-images"
+
+  # Logging Configuration
+  LOG_FILE_PATH: "logs/content-service.log"

.github/kustomize/base/content-service-deployment.yaml

@@ -0,0 +1,62 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: content-service
+  labels:
+    app: content-service
+spec:
+  replicas: 1
+  selector:
+    matchLabels:
+      app: content-service
+  template:
+    metadata:
+      labels:
+        app: content-service
+    spec:
+      imagePullSecrets:
+        - name: kt-event-marketing
+      containers:
+        - name: content-service
+          image: acrdigitalgarage01.azurecr.io/kt-event-marketing/content-service:latest
+          imagePullPolicy: Always
+          ports:
+            - containerPort: 8084
+              name: http
+          envFrom:
+            - configMapRef:
+                name: cm-common
+            - configMapRef:
+                name: cm-content-service
+            - secretRef:
+                name: secret-common
+            - secretRef:
+                name: secret-content-service
+          resources:
+            requests:
+              cpu: "256m"
+              memory: "256Mi"
+            limits:
+              cpu: "1024m"
+              memory: "1024Mi"
+          startupProbe:
+            httpGet:
+              path: /api/v1/content/actuator/health
+              port: 8084
+            initialDelaySeconds: 30
+            periodSeconds: 10
+            failureThreshold: 30
+          readinessProbe:
+            httpGet:
+              path: /api/v1/content/actuator/health/readiness
+              port: 8084
+            initialDelaySeconds: 10
+            periodSeconds: 5
+            failureThreshold: 3
+          livenessProbe:
+            httpGet:
+              path: /api/v1/content/actuator/health/liveness
+              port: 8084
+            initialDelaySeconds: 30
+            periodSeconds: 10
+            failureThreshold: 3

.github/kustomize/base/content-service-secret-content-service.yaml

@@ -0,0 +1,14 @@
+apiVersion: v1
+kind: Secret
+metadata:
+  name: secret-content-service
+type: Opaque
+stringData:
+  # Azure Blob Storage Connection String
+  AZURE_STORAGE_CONNECTION_STRING: "DefaultEndpointsProtocol=https;AccountName=blobkteventstorage;AccountKey=tcBN7mAfojbl0uGsOpU7RNuKNhHnzmwDiWjN31liSMVSrWaEK+HHnYKZrjBXXAC6ZPsuxUDlsf8x+AStd++QYg==;EndpointSuffix=core.windows.net"
+
+  # Replicate API Token
+  REPLICATE_API_TOKEN: ""
+
+  # HuggingFace API Token
+  HUGGINGFACE_API_TOKEN: ""

.github/kustomize/base/content-service-service.yaml

@@ -0,0 +1,15 @@
+apiVersion: v1
+kind: Service
+metadata:
+  name: content-service
+  labels:
+    app: content-service
+spec:
+  type: ClusterIP
+  ports:
+    - port: 80
+      targetPort: 8084
+      protocol: TCP
+      name: http
+  selector:
+    app: content-service

.github/kustomize/base/distribution-service-cm-distribution-service.yaml

@@ -0,0 +1,28 @@
+apiVersion: v1
+kind: ConfigMap
+metadata:
+  name: cm-distribution-service
+data:
+  # Server Configuration
+  SERVER_PORT: "8085"
+
+  # Database Configuration
+  DB_HOST: "distribution-postgresql"
+  DB_PORT: "5432"
+  DB_NAME: "distributiondb"
+  DB_USERNAME: "eventuser"
+
+  # Kafka Configuration
+  KAFKA_ENABLED: "true"
+  KAFKA_CONSUMER_GROUP: "distribution-service"
+
+  # External Channel APIs
+  URIDONGNETV_API_URL: "http://localhost:9001/api/uridongnetv"
+  RINGOBIZ_API_URL: "http://localhost:9002/api/ringobiz"
+  GINITV_API_URL: "http://localhost:9003/api/ginitv"
+  INSTAGRAM_API_URL: "http://localhost:9004/api/instagram"
+  NAVER_API_URL: "http://localhost:9005/api/naver"
+  KAKAO_API_URL: "http://localhost:9006/api/kakao"
+
+  # Logging Configuration
+  LOG_FILE: "logs/distribution-service.log"

.github/kustomize/base/distribution-service-deployment.yaml

@@ -0,0 +1,62 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: distribution-service
+  labels:
+    app: distribution-service
+spec:
+  replicas: 1
+  selector:
+    matchLabels:
+      app: distribution-service
+  template:
+    metadata:
+      labels:
+        app: distribution-service
+    spec:
+      imagePullSecrets:
+        - name: kt-event-marketing
+      containers:
+        - name: distribution-service
+          image: acrdigitalgarage01.azurecr.io/kt-event-marketing/distribution-service:latest
+          imagePullPolicy: Always
+          ports:
+            - containerPort: 8085
+              name: http
+          envFrom:
+            - configMapRef:
+                name: cm-common
+            - configMapRef:
+                name: cm-distribution-service
+            - secretRef:
+                name: secret-common
+            - secretRef:
+                name: secret-distribution-service
+          resources:
+            requests:
+              cpu: "256m"
+              memory: "256Mi"
+            limits:
+              cpu: "1024m"
+              memory: "1024Mi"
+          startupProbe:
+            httpGet:
+              path: /api/v1/distribution/actuator/health
+              port: 8085
+            initialDelaySeconds: 30
+            periodSeconds: 10
+            failureThreshold: 30
+          readinessProbe:
+            httpGet:
+              path: /api/v1/distribution/actuator/health/readiness
+              port: 8085
+            initialDelaySeconds: 10
+            periodSeconds: 5
+            failureThreshold: 3
+          livenessProbe:
+            httpGet:
+              path: /api/v1/distribution/actuator/health/liveness
+              port: 8085
+            initialDelaySeconds: 30
+            periodSeconds: 10
+            failureThreshold: 3

.github/kustomize/base/distribution-service-secret-distribution-service.yaml

@@ -0,0 +1,7 @@
+apiVersion: v1
+kind: Secret
+metadata:
+  name: secret-distribution-service
+type: Opaque
+stringData:
+  DB_PASSWORD: "Hi5Jessica!"

.github/kustomize/base/distribution-service-service.yaml

@@ -0,0 +1,15 @@
+apiVersion: v1
+kind: Service
+metadata:
+  name: distribution-service
+  labels:
+    app: distribution-service
+spec:
+  type: ClusterIP
+  selector:
+    app: distribution-service
+  ports:
+    - name: http
+      port: 80
+      targetPort: 8085
+      protocol: TCP

.github/kustomize/base/event-service-cm-event-service.yaml

@@ -0,0 +1,28 @@
+apiVersion: v1
+kind: ConfigMap
+metadata:
+  name: cm-event-service
+data:
+  # Server Configuration
+  SERVER_PORT: "8080"
+
+  # Database Configuration
+  DB_HOST: "event-postgresql"
+  DB_PORT: "5432"
+  DB_NAME: "eventdb"
+  DB_USERNAME: "eventuser"
+
+  # Redis Configuration (service-specific)
+  REDIS_DATABASE: "2"
+
+  # Kafka Configuration (service-specific)
+  KAFKA_CONSUMER_GROUP: "event-service-consumers"
+
+  # Service URLs
+  CONTENT_SERVICE_URL: "http://content-service"
+  DISTRIBUTION_SERVICE_URL: "http://distribution-service"
+
+  # Logging Configuration
+  LOG_LEVEL: "INFO"
+  SQL_LOG_LEVEL: "WARN"
+  LOG_FILE: "logs/event-service.log"

.github/kustomize/base/event-service-deployment.yaml

@@ -0,0 +1,62 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: event-service
+  labels:
+    app: event-service
+spec:
+  replicas: 1
+  selector:
+    matchLabels:
+      app: event-service
+  template:
+    metadata:
+      labels:
+        app: event-service
+    spec:
+      imagePullSecrets:
+        - name: kt-event-marketing
+      containers:
+        - name: event-service
+          image: acrdigitalgarage01.azurecr.io/kt-event-marketing/event-service:latest
+          imagePullPolicy: Always
+          ports:
+            - containerPort: 8080
+              name: http
+          envFrom:
+            - configMapRef:
+                name: cm-common
+            - configMapRef:
+                name: cm-event-service
+            - secretRef:
+                name: secret-common
+            - secretRef:
+                name: secret-event-service
+          resources:
+            requests:
+              cpu: "256m"
+              memory: "256Mi"
+            limits:
+              cpu: "1024m"
+              memory: "1024Mi"
+          startupProbe:
+            httpGet:
+              path: /actuator/health
+              port: 8080
+            initialDelaySeconds: 30
+            periodSeconds: 10
+            failureThreshold: 30
+          readinessProbe:
+            httpGet:
+              path: /actuator/health/readiness
+              port: 8080
+            initialDelaySeconds: 10
+            periodSeconds: 5
+            failureThreshold: 3
+          livenessProbe:
+            httpGet:
+              path: /actuator/health/liveness
+              port: 8080
+            initialDelaySeconds: 30
+            periodSeconds: 10
+            failureThreshold: 3

.github/kustomize/base/event-service-secret-event-service.yaml

@@ -0,0 +1,8 @@
+apiVersion: v1
+kind: Secret
+metadata:
+  name: secret-event-service
+type: Opaque
+stringData:
+  # Database Password
+  DB_PASSWORD: "Hi5Jessica!"

.github/kustomize/base/event-service-service.yaml

@@ -0,0 +1,15 @@
+apiVersion: v1
+kind: Service
+metadata:
+  name: event-service
+  labels:
+    app: event-service
+spec:
+  type: ClusterIP
+  ports:
+    - port: 80
+      targetPort: 8080
+      protocol: TCP
+      name: http
+  selector:
+    app: event-service

.github/kustomize/base/ingress.yaml

@@ -0,0 +1,116 @@
+apiVersion: networking.k8s.io/v1
+kind: Ingress
+metadata:
+  name: kt-event-marketing
+  annotations:
+    nginx.ingress.kubernetes.io/ssl-redirect: "false"
+    nginx.ingress.kubernetes.io/use-regex: "true"
+spec:
+  ingressClassName: nginx
+  rules:
+    - host: kt-event-marketing-api.20.214.196.128.nip.io
+      http:
+        paths:
+          # User Service
+          - path: /api/v1/users
+            pathType: Prefix
+            backend:
+              service:
+                name: user-service
+                port:
+                  number: 80
+
+          # Content Service
+          - path: /api/v1/content
+            pathType: Prefix
+            backend:
+              service:
+                name: content-service
+                port:
+                  number: 80
+
+          # Event Service
+          - path: /api/v1/events
+            pathType: Prefix
+            backend:
+              service:
+                name: event-service
+                port:
+                  number: 80
+
+          - path: /api/v1/jobs
+            pathType: Prefix
+            backend:
+              service:
+                name: event-service
+                port:
+                  number: 80
+
+          - path: /api/v1/redis-test
+            pathType: Prefix
+            backend:
+              service:
+                name: event-service
+                port:
+                  number: 80
+
+          # AI Service
+          - path: /api/v1/ai-service
+            pathType: Prefix
+            backend:
+              service:
+                name: ai-service
+                port:
+                  number: 80
+
+          # Participation Service
+          - path: /api/v1/participations
+            pathType: Prefix
+            backend:
+              service:
+                name: participation-service
+                port:
+                  number: 80
+
+          - path: /api/v1/winners
+            pathType: Prefix
+            backend:
+              service:
+                name: participation-service
+                port:
+                  number: 80
+
+          - path: /debug
+            pathType: Prefix
+            backend:
+              service:
+                name: participation-service
+                port:
+                  number: 80
+
+          # Analytics Service - Event Analytics
+          - path: /api/v1/events/([0-9]+)/analytics
+            pathType: ImplementationSpecific
+            backend:
+              service:
+                name: analytics-service
+                port:
+                  number: 80
+
+          # Analytics Service - User Analytics
+          - path: /api/v1/users/([0-9]+)/analytics
+            pathType: ImplementationSpecific
+            backend:
+              service:
+                name: analytics-service
+                port:
+                  number: 80
+
+          # Distribution Service
+          - path: /distribution
+            pathType: Prefix
+            backend:
+              service:
+                name: distribution-service
+                port:
+                  number: 80

.github/kustomize/base/kustomization.yaml

@@ -0,0 +1,76 @@
+apiVersion: kustomize.config.k8s.io/v1beta1
+kind: Kustomization
+
+# Common resources
+resources:
+  # Common ConfigMaps and Secrets
+  - cm-common.yaml
+  - secret-common.yaml
+  - secret-imagepull.yaml
+
+  # Ingress
+  - ingress.yaml
+
+  # user-service
+  - user-service-deployment.yaml
+  - user-service-service.yaml
+  - user-service-cm-user-service.yaml
+  - user-service-secret-user-service.yaml
+
+  # event-service
+  - event-service-deployment.yaml
+  - event-service-service.yaml
+  - event-service-cm-event-service.yaml
+  - event-service-secret-event-service.yaml
+
+  # ai-service
+  - ai-service-deployment.yaml
+  - ai-service-service.yaml
+  - ai-service-cm-ai-service.yaml
+  - ai-service-secret-ai-service.yaml
+
+  # content-service
+  - content-service-deployment.yaml
+  - content-service-service.yaml
+  - content-service-cm-content-service.yaml
+  - content-service-secret-content-service.yaml
+
+  # distribution-service
+  - distribution-service-deployment.yaml
+  - distribution-service-service.yaml
+  - distribution-service-cm-distribution-service.yaml
+  - distribution-service-secret-distribution-service.yaml
+
+  # participation-service
+  - participation-service-deployment.yaml
+  - participation-service-service.yaml
+  - participation-service-cm-participation-service.yaml
+  - participation-service-secret-participation-service.yaml
+
+  # analytics-service
+  - analytics-service-deployment.yaml
+  - analytics-service-service.yaml
+  - analytics-service-cm-analytics-service.yaml
+  - analytics-service-secret-analytics-service.yaml
+
+# Common labels for all resources
+commonLabels:
+  app.kubernetes.io/managed-by: kustomize
+  app.kubernetes.io/part-of: kt-event-marketing
+
+# Image tag replacement (will be overridden by overlays)
+images:
+  - name: acrdigitalgarage01.azurecr.io/kt-event-marketing/user-service
+    newTag: latest
+  - name: acrdigitalgarage01.azurecr.io/kt-event-marketing/event-service
+    newTag: latest
+  - name: acrdigitalgarage01.azurecr.io/kt-event-marketing/ai-service
+    newTag: latest
+  - name: acrdigitalgarage01.azurecr.io/kt-event-marketing/content-service
+    newTag: latest
+  - name: acrdigitalgarage01.azurecr.io/kt-event-marketing/distribution-service
+    newTag: latest
+  - name: acrdigitalgarage01.azurecr.io/kt-event-marketing/participation-service
+    newTag: latest
+  - name: acrdigitalgarage01.azurecr.io/kt-event-marketing/analytics-service
+    newTag: latest

.github/kustomize/base/participation-service-cm-participation-service.yaml

@@ -0,0 +1,24 @@
+apiVersion: v1
+kind: ConfigMap
+metadata:
+  name: cm-participation-service
+data:
+  # Server Configuration
+  SERVER_PORT: "8084"
+
+  # Database Configuration
+  DB_HOST: "participation-postgresql"
+  DB_PORT: "5432"
+  DB_NAME: "participationdb"
+  DB_USERNAME: "eventuser"
+
+  # Redis Configuration (service-specific)
+  REDIS_DATABASE: "4"
+
+  # Kafka Configuration (service-specific)
+  KAFKA_CONSUMER_GROUP: "participation-service-consumers"
+
+  # Logging Configuration
+  LOG_LEVEL: "INFO"
+  SHOW_SQL: "false"
+  LOG_FILE: "logs/participation-service.log"

.github/kustomize/base/participation-service-deployment.yaml

@@ -0,0 +1,62 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: participation-service
+  labels:
+    app: participation-service
+spec:
+  replicas: 1
+  selector:
+    matchLabels:
+      app: participation-service
+  template:
+    metadata:
+      labels:
+        app: participation-service
+    spec:
+      imagePullSecrets:
+        - name: kt-event-marketing
+      containers:
+        - name: participation-service
+          image: acrdigitalgarage01.azurecr.io/kt-event-marketing/participation-service:latest
+          imagePullPolicy: Always
+          ports:
+            - containerPort: 8084
+              name: http
+          envFrom:
+            - configMapRef:
+                name: cm-common
+            - configMapRef:
+                name: cm-participation-service
+            - secretRef:
+                name: secret-common
+            - secretRef:
+                name: secret-participation-service
+          resources:
+            requests:
+              cpu: "256m"
+              memory: "256Mi"
+            limits:
+              cpu: "1024m"
+              memory: "1024Mi"
+          startupProbe:
+            httpGet:
+              path: /actuator/health/liveness
+              port: 8084
+            initialDelaySeconds: 60
+            periodSeconds: 10
+            failureThreshold: 30
+          livenessProbe:
+            httpGet:
+              path: /actuator/health/liveness
+              port: 8084
+            initialDelaySeconds: 0
+            periodSeconds: 10
+            failureThreshold: 3
+          readinessProbe:
+            httpGet:
+              path: /actuator/health/readiness
+              port: 8084
+            initialDelaySeconds: 0
+            periodSeconds: 10
+            failureThreshold: 3

.github/kustomize/base/participation-service-secret-participation-service.yaml

@@ -0,0 +1,7 @@
+apiVersion: v1
+kind: Secret
+metadata:
+  name: secret-participation-service
+type: Opaque
+stringData:
+  DB_PASSWORD: "Hi5Jessica!"

.github/kustomize/base/participation-service-service.yaml

@@ -0,0 +1,15 @@
+apiVersion: v1
+kind: Service
+metadata:
+  name: participation-service
+  labels:
+    app: participation-service
+spec:
+  type: ClusterIP
+  ports:
+    - port: 80
+      targetPort: 8084
+      protocol: TCP
+      name: http
+  selector:
+    app: participation-service

.github/kustomize/base/secret-common.yaml

@@ -0,0 +1,11 @@
+apiVersion: v1
+kind: Secret
+metadata:
+  name: secret-common
+type: Opaque
+stringData:
+  # Redis Password
+  REDIS_PASSWORD: "Hi5Jessica!"
+
+  # JWT Secret
+  JWT_SECRET: "QL0czzXckz18kHnxpaTDoWFkq+3qKO7VQXeNvf2bOoU="

.github/kustomize/base/secret-imagepull.yaml

@@ -0,0 +1,16 @@
+apiVersion: v1
+kind: Secret
+metadata:
+  name: kt-event-marketing
+type: kubernetes.io/dockerconfigjson
+stringData:
+  .dockerconfigjson: |
+    {
+      "auths": {
+        "acrdigitalgarage01.azurecr.io": {
+          "username": "acrdigitalgarage01",
+          "password": "+OY+rmOagorjWvQe/tTk6oqvnZI8SmNbY/Y2o5EDcY+ACRDCDbYk",
+          "auth": "YWNyZGlnaXRhbGdhcmFnZTAxOitPWStybU9hZ29yald2UWUvdFRrNm9xdm5aSThTbU5iWS9ZMm81RURjWStBQ1JEQ0RiWWs="
+        }
+      }
+    }

.github/kustomize/base/user-service-cm-user-service.yaml

@@ -0,0 +1,31 @@
+apiVersion: v1
+kind: ConfigMap
+metadata:
+  name: cm-user-service
+data:
+  # Server Configuration
+  SERVER_PORT: "8081"
+
+  # Database Configuration
+  DB_URL: "jdbc:postgresql://user-postgresql:5432/userdb"
+  DB_HOST: "user-postgresql"
+  DB_PORT: "5432"
+  DB_NAME: "userdb"
+  DB_USERNAME: "eventuser"
+  DB_DRIVER: "org.postgresql.Driver"
+  DB_KIND: "postgresql"
+  DB_POOL_MAX: "20"
+  DB_POOL_MIN: "5"
+  DB_CONN_TIMEOUT: "30000"
+  DB_IDLE_TIMEOUT: "600000"
+  DB_MAX_LIFETIME: "1800000"
+  DB_LEAK_THRESHOLD: "60000"
+
+  # Redis Configuration (service-specific)
+  REDIS_DATABASE: "0"
+
+  # Kafka Configuration (service-specific)
+  KAFKA_CONSUMER_GROUP: "user-service-consumers"
+
+  # Logging Configuration
+  LOG_FILE_PATH: "logs/user-service.log"

.github/kustomize/base/user-service-deployment.yaml

@@ -0,0 +1,62 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: user-service
+  labels:
+    app: user-service
+spec:
+  replicas: 1
+  selector:
+    matchLabels:
+      app: user-service
+  template:
+    metadata:
+      labels:
+        app: user-service
+    spec:
+      imagePullSecrets:
+        - name: kt-event-marketing
+      containers:
+        - name: user-service
+          image: acrdigitalgarage01.azurecr.io/kt-event-marketing/user-service:latest
+          imagePullPolicy: Always
+          ports:
+            - containerPort: 8081
+              name: http
+          envFrom:
+            - configMapRef:
+                name: cm-common
+            - configMapRef:
+                name: cm-user-service
+            - secretRef:
+                name: secret-common
+            - secretRef:
+                name: secret-user-service
+          resources:
+            requests:
+              cpu: "256m"
+              memory: "256Mi"
+            limits:
+              cpu: "1024m"
+              memory: "1024Mi"
+          startupProbe:
+            httpGet:
+              path: /actuator/health
+              port: 8081
+            initialDelaySeconds: 30
+            periodSeconds: 10
+            failureThreshold: 30
+          readinessProbe:
+            httpGet:
+              path: /actuator/health/readiness
+              port: 8081
+            initialDelaySeconds: 10
+            periodSeconds: 5
+            failureThreshold: 3
+          livenessProbe:
+            httpGet:
+              path: /actuator/health/liveness
+              port: 8081
+            initialDelaySeconds: 30
+            periodSeconds: 10
+            failureThreshold: 3

.github/kustomize/base/user-service-secret-user-service.yaml

@@ -0,0 +1,8 @@
+apiVersion: v1
+kind: Secret
+metadata:
+  name: secret-user-service
+type: Opaque
+stringData:
+  # Database Password
+  DB_PASSWORD: "Hi5Jessica!"

.github/kustomize/base/user-service-service.yaml

@@ -0,0 +1,15 @@
+apiVersion: v1
+kind: Service
+metadata:
+  name: user-service
+  labels:
+    app: user-service
+spec:
+  type: ClusterIP
+  ports:
+    - port: 80
+      targetPort: 8081
+      protocol: TCP
+      name: http
+  selector:
+    app: user-service

.github/kustomize/overlays/dev/ai-service-patch.yaml

@@ -0,0 +1,17 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: ai-service
+spec:
+  replicas: 1
+  template:
+    spec:
+      containers:
+        - name: ai-service
+          resources:
+            requests:
+              cpu: "256m"
+              memory: "256Mi"
+            limits:
+              cpu: "1024m"
+              memory: "1024Mi"

.github/kustomize/overlays/dev/analytics-service-patch.yaml

@@ -0,0 +1,17 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: analytics-service
+spec:
+  replicas: 1
+  template:
+    spec:
+      containers:
+        - name: analytics-service
+          resources:
+            requests:
+              cpu: "256m"
+              memory: "256Mi"
+            limits:
+              cpu: "1024m"
+              memory: "1024Mi"

.github/kustomize/overlays/dev/content-service-patch.yaml

@@ -0,0 +1,17 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: content-service
+spec:
+  replicas: 1
+  template:
+    spec:
+      containers:
+        - name: content-service
+          resources:
+            requests:
+              cpu: "256m"
+              memory: "256Mi"
+            limits:
+              cpu: "1024m"
+              memory: "1024Mi"

.github/kustomize/overlays/dev/distribution-service-patch.yaml

@@ -0,0 +1,17 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: distribution-service
+spec:
+  replicas: 1
+  template:
+    spec:
+      containers:
+        - name: distribution-service
+          resources:
+            requests:
+              cpu: "256m"
+              memory: "256Mi"
+            limits:
+              cpu: "1024m"
+              memory: "1024Mi"

.github/kustomize/overlays/dev/event-service-patch.yaml

@@ -0,0 +1,17 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: event-service
+spec:
+  replicas: 1
+  template:
+    spec:
+      containers:
+        - name: event-service
+          resources:
+            requests:
+              cpu: "256m"
+              memory: "256Mi"
+            limits:
+              cpu: "1024m"
+              memory: "1024Mi"

.github/kustomize/overlays/dev/kustomization.yaml

@@ -0,0 +1,38 @@
+apiVersion: kustomize.config.k8s.io/v1beta1
+kind: Kustomization
+
+namespace: kt-event-marketing
+
+bases:
+  - ../../base
+
+# Environment-specific labels
+commonLabels:
+  environment: dev
+
+# Environment-specific patches
+patchesStrategicMerge:
+  - user-service-patch.yaml
+  - event-service-patch.yaml
+  - ai-service-patch.yaml
+  - content-service-patch.yaml
+  - distribution-service-patch.yaml
+  - participation-service-patch.yaml
+  - analytics-service-patch.yaml
+
+# Override image tags for dev environment
+images:
+  - name: acrdigitalgarage01.azurecr.io/kt-event-marketing/user-service
+    newTag: dev
+  - name: acrdigitalgarage01.azurecr.io/kt-event-marketing/event-service
+    newTag: dev
+  - name: acrdigitalgarage01.azurecr.io/kt-event-marketing/ai-service
+    newTag: dev
+  - name: acrdigitalgarage01.azurecr.io/kt-event-marketing/content-service
+    newTag: dev
+  - name: acrdigitalgarage01.azurecr.io/kt-event-marketing/distribution-service
+    newTag: dev
+  - name: acrdigitalgarage01.azurecr.io/kt-event-marketing/participation-service
+    newTag: dev
+  - name: acrdigitalgarage01.azurecr.io/kt-event-marketing/analytics-service
+    newTag: dev

.github/kustomize/overlays/dev/participation-service-patch.yaml

@@ -0,0 +1,17 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: participation-service
+spec:
+  replicas: 1
+  template:
+    spec:
+      containers:
+        - name: participation-service
+          resources:
+            requests:
+              cpu: "256m"
+              memory: "256Mi"
+            limits:
+              cpu: "1024m"
+              memory: "1024Mi"

.github/kustomize/overlays/dev/user-service-patch.yaml

@@ -0,0 +1,17 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: user-service
+spec:
+  replicas: 1
+  template:
+    spec:
+      containers:
+        - name: user-service
+          resources:
+            requests:
+              cpu: "256m"
+              memory: "256Mi"
+            limits:
+              cpu: "1024m"
+              memory: "1024Mi"

.github/kustomize/overlays/prod/ai-service-patch.yaml

@@ -0,0 +1,17 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: ai-service
+spec:
+  replicas: 3
+  template:
+    spec:
+      containers:
+        - name: ai-service
+          resources:
+            requests:
+              cpu: "1024m"
+              memory: "1024Mi"
+            limits:
+              cpu: "4096m"
+              memory: "4096Mi"

.github/kustomize/overlays/prod/analytics-service-patch.yaml

@@ -0,0 +1,17 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: analytics-service
+spec:
+  replicas: 3
+  template:
+    spec:
+      containers:
+        - name: analytics-service
+          resources:
+            requests:
+              cpu: "1024m"
+              memory: "1024Mi"
+            limits:
+              cpu: "4096m"
+              memory: "4096Mi"

.github/kustomize/overlays/prod/content-service-patch.yaml

@@ -0,0 +1,17 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: content-service
+spec:
+  replicas: 3
+  template:
+    spec:
+      containers:
+        - name: content-service
+          resources:
+            requests:
+              cpu: "1024m"
+              memory: "1024Mi"
+            limits:
+              cpu: "4096m"
+              memory: "4096Mi"

.github/kustomize/overlays/prod/distribution-service-patch.yaml

@@ -0,0 +1,17 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: distribution-service
+spec:
+  replicas: 3
+  template:
+    spec:
+      containers:
+        - name: distribution-service
+          resources:
+            requests:
+              cpu: "1024m"
+              memory: "1024Mi"
+            limits:
+              cpu: "4096m"
+              memory: "4096Mi"

.github/kustomize/overlays/prod/event-service-patch.yaml

@@ -0,0 +1,17 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: event-service
+spec:
+  replicas: 3
+  template:
+    spec:
+      containers:
+        - name: event-service
+          resources:
+            requests:
+              cpu: "1024m"
+              memory: "1024Mi"
+            limits:
+              cpu: "4096m"
+              memory: "4096Mi"

.github/kustomize/overlays/prod/kustomization.yaml

@@ -0,0 +1,38 @@
+apiVersion: kustomize.config.k8s.io/v1beta1
+kind: Kustomization
+
+namespace: kt-event-marketing
+
+bases:
+  - ../../base
+
+# Environment-specific labels
+commonLabels:
+  environment: prod
+
+# Environment-specific patches
+patchesStrategicMerge:
+  - user-service-patch.yaml
+  - event-service-patch.yaml
+  - ai-service-patch.yaml
+  - content-service-patch.yaml
+  - distribution-service-patch.yaml
+  - participation-service-patch.yaml
+  - analytics-service-patch.yaml
+
+# Override image tags for prod environment
+images:
+  - name: acrdigitalgarage01.azurecr.io/kt-event-marketing/user-service
+    newTag: prod
+  - name: acrdigitalgarage01.azurecr.io/kt-event-marketing/event-service
+    newTag: prod
+  - name: acrdigitalgarage01.azurecr.io/kt-event-marketing/ai-service
+    newTag: prod
+  - name: acrdigitalgarage01.azurecr.io/kt-event-marketing/content-service
+    newTag: prod
+  - name: acrdigitalgarage01.azurecr.io/kt-event-marketing/distribution-service
+    newTag: prod
+  - name: acrdigitalgarage01.azurecr.io/kt-event-marketing/participation-service
+    newTag: prod
+  - name: acrdigitalgarage01.azurecr.io/kt-event-marketing/analytics-service
+    newTag: prod

.github/kustomize/overlays/prod/participation-service-patch.yaml

@@ -0,0 +1,17 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: participation-service
+spec:
+  replicas: 3
+  template:
+    spec:
+      containers:
+        - name: participation-service
+          resources:
+            requests:
+              cpu: "1024m"
+              memory: "1024Mi"
+            limits:
+              cpu: "4096m"
+              memory: "4096Mi"

.github/kustomize/overlays/prod/user-service-patch.yaml

@@ -0,0 +1,17 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: user-service
+spec:
+  replicas: 3
+  template:
+    spec:
+      containers:
+        - name: user-service
+          resources:
+            requests:
+              cpu: "1024m"
+              memory: "1024Mi"
+            limits:
+              cpu: "4096m"
+              memory: "4096Mi"

.github/kustomize/overlays/staging/ai-service-patch.yaml

@@ -0,0 +1,17 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: ai-service
+spec:
+  replicas: 2
+  template:
+    spec:
+      containers:
+        - name: ai-service
+          resources:
+            requests:
+              cpu: "512m"
+              memory: "512Mi"
+            limits:
+              cpu: "2048m"
+              memory: "2048Mi"

.github/kustomize/overlays/staging/analytics-service-patch.yaml

@@ -0,0 +1,17 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: analytics-service
+spec:
+  replicas: 2
+  template:
+    spec:
+      containers:
+        - name: analytics-service
+          resources:
+            requests:
+              cpu: "512m"
+              memory: "512Mi"
+            limits:
+              cpu: "2048m"
+              memory: "2048Mi"

.github/kustomize/overlays/staging/content-service-patch.yaml

@@ -0,0 +1,17 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: content-service
+spec:
+  replicas: 2
+  template:
+    spec:
+      containers:
+        - name: content-service
+          resources:
+            requests:
+              cpu: "512m"
+              memory: "512Mi"
+            limits:
+              cpu: "2048m"
+              memory: "2048Mi"

.github/kustomize/overlays/staging/distribution-service-patch.yaml

@@ -0,0 +1,17 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: distribution-service
+spec:
+  replicas: 2
+  template:
+    spec:
+      containers:
+        - name: distribution-service
+          resources:
+            requests:
+              cpu: "512m"
+              memory: "512Mi"
+            limits:
+              cpu: "2048m"
+              memory: "2048Mi"

.github/kustomize/overlays/staging/event-service-patch.yaml

@@ -0,0 +1,17 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: event-service
+spec:
+  replicas: 2
+  template:
+    spec:
+      containers:
+        - name: event-service
+          resources:
+            requests:
+              cpu: "512m"
+              memory: "512Mi"
+            limits:
+              cpu: "2048m"
+              memory: "2048Mi"

.github/kustomize/overlays/staging/kustomization.yaml

@@ -0,0 +1,38 @@
+apiVersion: kustomize.config.k8s.io/v1beta1
+kind: Kustomization
+
+namespace: kt-event-marketing
+
+bases:
+  - ../../base
+
+# Environment-specific labels
+commonLabels:
+  environment: staging
+
+# Environment-specific patches
+patchesStrategicMerge:
+  - user-service-patch.yaml
+  - event-service-patch.yaml
+  - ai-service-patch.yaml
+  - content-service-patch.yaml
+  - distribution-service-patch.yaml
+  - participation-service-patch.yaml
+  - analytics-service-patch.yaml
+
+# Override image tags for staging environment
+images:
+  - name: acrdigitalgarage01.azurecr.io/kt-event-marketing/user-service
+    newTag: staging
+  - name: acrdigitalgarage01.azurecr.io/kt-event-marketing/event-service
+    newTag: staging
+  - name: acrdigitalgarage01.azurecr.io/kt-event-marketing/ai-service
+    newTag: staging
+  - name: acrdigitalgarage01.azurecr.io/kt-event-marketing/content-service
+    newTag: staging
+  - name: acrdigitalgarage01.azurecr.io/kt-event-marketing/distribution-service
+    newTag: staging
+  - name: acrdigitalgarage01.azurecr.io/kt-event-marketing/participation-service
+    newTag: staging
+  - name: acrdigitalgarage01.azurecr.io/kt-event-marketing/analytics-service
+    newTag: staging

.github/kustomize/overlays/staging/participation-service-patch.yaml

@@ -0,0 +1,17 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: participation-service
+spec:
+  replicas: 2
+  template:
+    spec:
+      containers:
+        - name: participation-service
+          resources:
+            requests:
+              cpu: "512m"
+              memory: "512Mi"
+            limits:
+              cpu: "2048m"
+              memory: "2048Mi"

.github/kustomize/overlays/staging/user-service-patch.yaml

@@ -0,0 +1,17 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: user-service
+spec:
+  replicas: 2
+  template:
+    spec:
+      containers:
+        - name: user-service
+          resources:
+            requests:
+              cpu: "512m"
+              memory: "512Mi"
+            limits:
+              cpu: "2048m"
+              memory: "2048Mi"

.github/scripts/copy-manifests-to-base.py

@@ -0,0 +1,79 @@
+#!/usr/bin/env python3
+"""
+Copy K8s manifests to Kustomize base directory and remove namespace declarations
+"""
+import os
+import shutil
+import yaml
+from pathlib import Path
+
+# Service names
+SERVICES = [
+    'user-service',
+    'event-service',
+    'ai-service',
+    'content-service',
+    'distribution-service',
+    'participation-service',
+    'analytics-service'
+]
+
+# Base directories
+SOURCE_DIR = Path('deployment/k8s')
+BASE_DIR = Path('.github/kustomize/base')
+
+def remove_namespace_from_yaml(content):
+    """Remove namespace field from YAML content"""
+    docs = list(yaml.safe_load_all(content))
+
+    for doc in docs:
+        if doc and isinstance(doc, dict):
+            if 'metadata' in doc and 'namespace' in doc['metadata']:
+                del doc['metadata']['namespace']
+
+    return yaml.dump_all(docs, default_flow_style=False, sort_keys=False)
+
+def copy_and_process_file(source_path, dest_path):
+    """Copy file and remove namespace declaration"""
+    with open(source_path, 'r', encoding='utf-8') as f:
+        content = f.read()
+
+    # Remove namespace from YAML
+    processed_content = remove_namespace_from_yaml(content)
+
+    # Write to destination
+    dest_path.parent.mkdir(parents=True, exist_ok=True)
+    with open(dest_path, 'w', encoding='utf-8') as f:
+        f.write(processed_content)
+
+    print(f"✓ Copied and processed: {source_path} -> {dest_path}")
+
+def main():
+    print("Starting manifest copy to Kustomize base...")
+
+    # Copy common resources
+    print("\n[Common Resources]")
+    common_dir = SOURCE_DIR / 'common'
+    for file in ['cm-common.yaml', 'secret-common.yaml', 'secret-imagepull.yaml', 'ingress.yaml']:
+        source = common_dir / file
+        if source.exists():
+            dest = BASE_DIR / file
+            copy_and_process_file(source, dest)
+
+    # Copy service-specific resources
+    print("\n[Service Resources]")
+    for service in SERVICES:
+        service_dir = SOURCE_DIR / service
+        if not service_dir.exists():
+            print(f"⚠ Service directory not found: {service_dir}")
+            continue
+
+        print(f"\nProcessing {service}...")
+        for file in service_dir.glob('*.yaml'):
+            dest = BASE_DIR / f"{service}-{file.name}"
+            copy_and_process_file(file, dest)
+
+    print("\n✅ All manifests copied to base directory!")
+
+if __name__ == '__main__':
+    main()

.github/scripts/deploy.sh

@@ -0,0 +1,181 @@
+#!/bin/bash
+set -e
+
+###############################################################################
+# Backend Services Deployment Script for AKS
+#
+# Usage:
+#   ./deploy.sh <environment> [service-name]
+#
+# Arguments:
+#   environment  - Target environment (dev, staging, prod)
+#   service-name - Specific service to deploy (optional, deploys all if not specified)
+#
+# Examples:
+#   ./deploy.sh dev                    # Deploy all services to dev
+#   ./deploy.sh prod user-service      # Deploy only user-service to prod
+###############################################################################
+
+# Color output
+RED='\033[0;31m'
+GREEN='\033[0;32m'
+YELLOW='\033[1;33m'
+NC='\033[0m' # No Color
+
+# Functions
+log_info() {
+    echo -e "${GREEN}[INFO]${NC} $1"
+}
+
+log_warn() {
+    echo -e "${YELLOW}[WARN]${NC} $1"
+}
+
+log_error() {
+    echo -e "${RED}[ERROR]${NC} $1"
+}
+
+# Validate arguments
+if [ $# -lt 1 ]; then
+    log_error "Usage: $0 <environment> [service-name]"
+    log_error "Environment must be one of: dev, staging, prod"
+    exit 1
+fi
+
+ENVIRONMENT=$1
+SERVICE=${2:-all}
+
+# Validate environment
+if [[ ! "$ENVIRONMENT" =~ ^(dev|staging|prod)$ ]]; then
+    log_error "Invalid environment: $ENVIRONMENT"
+    log_error "Must be one of: dev, staging, prod"
+    exit 1
+fi
+
+# Load environment variables
+ENV_FILE=".github/config/deploy_env_vars_${ENVIRONMENT}"
+if [ ! -f "$ENV_FILE" ]; then
+    log_error "Environment file not found: $ENV_FILE"
+    exit 1
+fi
+
+source "$ENV_FILE"
+log_info "Loaded environment configuration: $ENVIRONMENT"
+
+# Service list
+SERVICES=(
+    "user-service"
+    "event-service"
+    "ai-service"
+    "content-service"
+    "distribution-service"
+    "participation-service"
+    "analytics-service"
+)
+
+# Validate service if specified
+if [ "$SERVICE" != "all" ]; then
+    if [[ ! " ${SERVICES[@]} " =~ " ${SERVICE} " ]]; then
+        log_error "Invalid service: $SERVICE"
+        log_error "Must be one of: ${SERVICES[*]}"
+        exit 1
+    fi
+    SERVICES=("$SERVICE")
+fi
+
+log_info "Services to deploy: ${SERVICES[*]}"
+
+# Check prerequisites
+log_info "Checking prerequisites..."
+
+if ! command -v az &> /dev/null; then
+    log_error "Azure CLI not found. Please install Azure CLI."
+    exit 1
+fi
+
+if ! command -v kubectl &> /dev/null; then
+    log_error "kubectl not found. Please install kubectl."
+    exit 1
+fi
+
+if ! command -v kustomize &> /dev/null; then
+    log_error "kustomize not found. Please install kustomize."
+    exit 1
+fi
+
+# Azure login check
+log_info "Checking Azure authentication..."
+if ! az account show &> /dev/null; then
+    log_error "Not logged in to Azure. Please run 'az login'"
+    exit 1
+fi
+
+# Get AKS credentials
+log_info "Getting AKS credentials..."
+az aks get-credentials \
+    --resource-group "$RESOURCE_GROUP" \
+    --name "$AKS_CLUSTER" \
+    --overwrite-existing
+
+# Check namespace
+log_info "Checking namespace: $NAMESPACE"
+if ! kubectl get namespace "$NAMESPACE" &> /dev/null; then
+    log_warn "Namespace $NAMESPACE does not exist. Creating..."
+    kubectl create namespace "$NAMESPACE"
+fi
+
+# Build and deploy with Kustomize
+OVERLAY_DIR=".github/kustomize/overlays/${ENVIRONMENT}"
+if [ ! -d "$OVERLAY_DIR" ]; then
+    log_error "Kustomize overlay directory not found: $OVERLAY_DIR"
+    exit 1
+fi
+
+log_info "Building Kustomize manifests for $ENVIRONMENT..."
+cd "$OVERLAY_DIR"
+
+# Update image tags
+log_info "Updating image tags to: $ENVIRONMENT"
+kustomize edit set image \
+    ${ACR_NAME}.azurecr.io/kt-event-marketing/user-service:${ENVIRONMENT} \
+    ${ACR_NAME}.azurecr.io/kt-event-marketing/event-service:${ENVIRONMENT} \
+    ${ACR_NAME}.azurecr.io/kt-event-marketing/ai-service:${ENVIRONMENT} \
+    ${ACR_NAME}.azurecr.io/kt-event-marketing/content-service:${ENVIRONMENT} \
+    ${ACR_NAME}.azurecr.io/kt-event-marketing/distribution-service:${ENVIRONMENT} \
+    ${ACR_NAME}.azurecr.io/kt-event-marketing/participation-service:${ENVIRONMENT} \
+    ${ACR_NAME}.azurecr.io/kt-event-marketing/analytics-service:${ENVIRONMENT}
+
+# Apply manifests
+log_info "Applying manifests to AKS..."
+kustomize build . | kubectl apply -f -
+
+cd - > /dev/null
+
+# Wait for deployments
+log_info "Waiting for deployments to be ready..."
+for service in "${SERVICES[@]}"; do
+    log_info "Waiting for $service deployment..."
+    if ! kubectl rollout status deployment/"$service" -n "$NAMESPACE" --timeout=5m; then
+        log_error "Deployment of $service failed!"
+        exit 1
+    fi
+    log_info "✓ $service is ready"
+done
+
+# Verify deployment
+log_info "Verifying deployment..."
+echo ""
+echo "=== Pods Status ==="
+kubectl get pods -n "$NAMESPACE" -l app.kubernetes.io/part-of=kt-event-marketing
+
+echo ""
+echo "=== Services ==="
+kubectl get svc -n "$NAMESPACE"
+
+echo ""
+echo "=== Ingress ==="
+kubectl get ingress -n "$NAMESPACE"
+
+log_info "Deployment completed successfully!"
+log_info "Environment: $ENVIRONMENT"
+log_info "Services: ${SERVICES[*]}"

.github/scripts/generate-patches.sh

@@ -0,0 +1,51 @@
+#!/bin/bash
+
+SERVICES=(user-service event-service ai-service content-service distribution-service participation-service analytics-service)
+
+# Staging patches (2 replicas, increased resources)
+for service in "${SERVICES[@]}"; do
+  cat > ".github/kustomize/overlays/staging/${service}-patch.yaml" << YAML
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: ${service}
+spec:
+  replicas: 2
+  template:
+    spec:
+      containers:
+        - name: ${service}
+          resources:
+            requests:
+              cpu: "512m"
+              memory: "512Mi"
+            limits:
+              cpu: "2048m"
+              memory: "2048Mi"
+YAML
+done
+
+# Prod patches (3 replicas, maximum resources)
+for service in "${SERVICES[@]}"; do
+  cat > ".github/kustomize/overlays/prod/${service}-patch.yaml" << YAML
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: ${service}
+spec:
+  replicas: 3
+  template:
+    spec:
+      containers:
+        - name: ${service}
+          resources:
+            requests:
+              cpu: "1024m"
+              memory: "1024Mi"
+            limits:
+              cpu: "4096m"
+              memory: "4096Mi"
+YAML
+done
+
+echo "✅ Generated all patch files for staging and prod"

.github/workflows/backend-cicd.yaml

@@ -0,0 +1,207 @@
+name: Backend CI/CD Pipeline
+
+on:
+  # push:
+  #   branches:
+  #     - develop
+  #     - main
+  #   paths:
+  #     - '*-service/**'
+  #     - '.github/workflows/backend-cicd.yaml'
+  #     - '.github/kustomize/**'
+  pull_request:
+    branches:
+      - develop
+      - main
+    paths:
+      - '*-service/**'
+  workflow_dispatch:
+    inputs:
+      environment:
+        description: 'Target environment'
+        required: true
+        type: choice
+        options:
+          - dev
+          - staging
+          - prod
+      service:
+        description: 'Service to deploy (all for all services)'
+        required: true
+        default: 'all'
+
+env:
+  ACR_NAME: acrdigitalgarage01
+  RESOURCE_GROUP: rg-digitalgarage-01
+  AKS_CLUSTER: aks-digitalgarage-01
+  NAMESPACE: kt-event-marketing
+  JDK_VERSION: '21'
+
+jobs:
+  detect-changes:
+    name: Detect Changed Services
+    runs-on: ubuntu-latest
+    outputs:
+      services: ${{ steps.detect.outputs.services }}
+      environment: ${{ steps.env.outputs.environment }}
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+
+      - name: Determine environment
+        id: env
+        run: |
+          if [ "${{ github.event_name }}" = "workflow_dispatch" ]; then
+            echo "environment=${{ github.event.inputs.environment }}" >> $GITHUB_OUTPUT
+          elif [ "${{ github.ref }}" = "refs/heads/main" ]; then
+            echo "environment=prod" >> $GITHUB_OUTPUT
+          elif [ "${{ github.ref }}" = "refs/heads/develop" ]; then
+            echo "environment=dev" >> $GITHUB_OUTPUT
+          else
+            echo "environment=dev" >> $GITHUB_OUTPUT
+          fi
+
+      - name: Detect changed services
+        id: detect
+        run: |
+          if [ "${{ github.event_name }}" = "workflow_dispatch" ] && [ "${{ github.event.inputs.service }}" != "all" ]; then
+            echo "services=[\"${{ github.event.inputs.service }}\"]" >> $GITHUB_OUTPUT
+          elif [ "${{ github.event_name }}" = "workflow_dispatch" ] && [ "${{ github.event.inputs.service }}" = "all" ]; then
+            echo "services=[\"user-service\",\"event-service\",\"ai-service\",\"content-service\",\"distribution-service\",\"participation-service\",\"analytics-service\"]" >> $GITHUB_OUTPUT
+          else
+            CHANGED_SERVICES=$(git diff --name-only ${{ github.event.before }} ${{ github.sha }} | \
+              grep -E '^(user|event|ai|content|distribution|participation|analytics)-service/' | \
+              cut -d'/' -f1 | sort -u | \
+              jq -R -s -c 'split("\n") | map(select(length > 0))')
+
+            if [ "$CHANGED_SERVICES" = "[]" ] || [ -z "$CHANGED_SERVICES" ]; then
+              echo "services=[\"user-service\",\"event-service\",\"ai-service\",\"content-service\",\"distribution-service\",\"participation-service\",\"analytics-service\"]" >> $GITHUB_OUTPUT
+            else
+              echo "services=$CHANGED_SERVICES" >> $GITHUB_OUTPUT
+            fi
+          fi
+
+  build-and-push:
+    name: Build and Push - ${{ matrix.service }}
+    needs: detect-changes
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        service: ${{ fromJson(needs.detect-changes.outputs.services) }}
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Set up JDK ${{ env.JDK_VERSION }}
+        uses: actions/setup-java@v4
+        with:
+          java-version: ${{ env.JDK_VERSION }}
+          distribution: 'temurin'
+          cache: 'gradle'
+
+      - name: Grant execute permission for gradlew
+        run: chmod +x gradlew
+
+      - name: Build with Gradle
+        run: ./gradlew ${{ matrix.service }}:build -x test
+
+      # - name: Run tests
+      #   run: ./gradlew ${{ matrix.service }}:test
+
+      - name: Build JAR
+        run: ./gradlew ${{ matrix.service }}:bootJar
+
+      - name: Log in to Azure Container Registry
+        uses: docker/login-action@v3
+        with:
+          registry: ${{ env.ACR_NAME }}.azurecr.io
+          username: ${{ secrets.ACR_USERNAME }}
+          password: ${{ secrets.ACR_PASSWORD }}
+
+      - name: Build and push Docker image
+        uses: docker/build-push-action@v5
+        with:
+          context: ./${{ matrix.service }}
+          file: ./${{ matrix.service }}/Dockerfile
+          push: true
+          tags: |
+            ${{ env.ACR_NAME }}.azurecr.io/kt-event-marketing/${{ matrix.service }}:${{ needs.detect-changes.outputs.environment }}
+            ${{ env.ACR_NAME }}.azurecr.io/kt-event-marketing/${{ matrix.service }}:${{ github.sha }}
+            ${{ env.ACR_NAME }}.azurecr.io/kt-event-marketing/${{ matrix.service }}:latest
+
+  deploy:
+    name: Deploy to AKS - ${{ needs.detect-changes.outputs.environment }}
+    needs: [detect-changes, build-and-push]
+    runs-on: ubuntu-latest
+    environment: ${{ needs.detect-changes.outputs.environment }}
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Azure login
+        uses: azure/login@v1
+        with:
+          creds: ${{ secrets.AZURE_CREDENTIALS }}
+
+      - name: Get AKS credentials
+        run: |
+          az aks get-credentials \
+            --resource-group ${{ env.RESOURCE_GROUP }} \
+            --name ${{ env.AKS_CLUSTER }} \
+            --overwrite-existing
+
+      - name: Setup Kustomize
+        uses: imranismail/setup-kustomize@v2
+
+      - name: Deploy with Kustomize
+        run: |
+          cd .github/kustomize/overlays/${{ needs.detect-changes.outputs.environment }}
+          kustomize edit set image \
+            acrdigitalgarage01.azurecr.io/kt-event-marketing/user-service:${{ needs.detect-changes.outputs.environment }} \
+            acrdigitalgarage01.azurecr.io/kt-event-marketing/event-service:${{ needs.detect-changes.outputs.environment }} \
+            acrdigitalgarage01.azurecr.io/kt-event-marketing/ai-service:${{ needs.detect-changes.outputs.environment }} \
+            acrdigitalgarage01.azurecr.io/kt-event-marketing/content-service:${{ needs.detect-changes.outputs.environment }} \
+            acrdigitalgarage01.azurecr.io/kt-event-marketing/distribution-service:${{ needs.detect-changes.outputs.environment }} \
+            acrdigitalgarage01.azurecr.io/kt-event-marketing/participation-service:${{ needs.detect-changes.outputs.environment }} \
+            acrdigitalgarage01.azurecr.io/kt-event-marketing/analytics-service:${{ needs.detect-changes.outputs.environment }}
+
+          kustomize build . | kubectl apply -f -
+
+      - name: Wait for deployment rollout
+        run: |
+          for service in $(echo '${{ needs.detect-changes.outputs.services }}' | jq -r '.[]'); do
+            echo "Waiting for ${service} deployment..."
+            kubectl rollout status deployment/${service} -n ${{ env.NAMESPACE }} --timeout=5m
+          done
+
+      - name: Verify deployment
+        run: |
+          echo "=== Pods Status ==="
+          kubectl get pods -n ${{ env.NAMESPACE }} -l app.kubernetes.io/part-of=kt-event-marketing
+
+          echo "=== Services ==="
+          kubectl get svc -n ${{ env.NAMESPACE }}
+
+          echo "=== Ingress ==="
+          kubectl get ingress -n ${{ env.NAMESPACE }}
+
+  notify:
+    name: Notify Deployment Result
+    needs: [detect-changes, deploy]
+    runs-on: ubuntu-latest
+    if: always()
+    steps:
+      - name: Deployment Success
+        if: needs.deploy.result == 'success'
+        run: |
+          echo "✅ Deployment to ${{ needs.detect-changes.outputs.environment }} succeeded!"
+          echo "Services: ${{ needs.detect-changes.outputs.services }}"
+
+      - name: Deployment Failure
+        if: needs.deploy.result == 'failure'
+        run: |
+          echo "❌ Deployment to ${{ needs.detect-changes.outputs.environment }} failed!"
+          echo "Services: ${{ needs.detect-changes.outputs.services }}"
+          exit 1

.gitignore

@@ -61,3 +61,5 @@ k8s/**/*-local.yaml
 
 # Gradle (로컬 환경 설정)
 gradle.properties
+*.hprof
+test-data.json

.run/AiServiceApplication.run.xml

@@ -0,0 +1,31 @@
+<component name="ProjectRunConfigurationManager">
+  <configuration default="false" name="AiServiceApplication" type="SpringBootApplicationConfigurationType" factoryName="Spring Boot" nameIsGenerated="true">
+    <option name="ACTIVE_PROFILES" />
+    <module name="kt-event-marketing.ai-service.main" />
+    <option name="SPRING_BOOT_MAIN_CLASS" value="com.kt.ai.AiApplication" />
+    <extension name="coverage">
+      <pattern>
+        <option name="PATTERN" value="com.kt.ai.*" />
+        <option name="ENABLED" value="true" />
+      </pattern>
+    </extension>
+    <envs>
+      <env name="SERVER_PORT" value="8081" />
+      <env name="DB_HOST" value="4.230.112.141" />
+      <env name="DB_PORT" value="5432" />
+      <env name="DB_NAME" value="aidb" />
+      <env name="DB_USERNAME" value="eventuser" />
+      <env name="DB_PASSWORD" value="Hi5Jessica!" />
+      <env name="REDIS_HOST" value="20.214.210.71" />
+      <env name="REDIS_PORT" value="6379" />
+      <env name="REDIS_PASSWORD" value="Hi5Jessica!" />
+      <env name="KAFKA_BOOTSTRAP_SERVERS" value="4.230.50.63:9092" />
+      <env name="KAFKA_CONSUMER_GROUP" value="ai" />
+      <env name="JPA_DDL_AUTO" value="update" />
+      <env name="JPA_SHOW_SQL" value="false" />
+    </envs>
+    <method v="2">
+      <option name="Make" enabled="true" />
+    </method>
+  </configuration>
+</component>

.run/AnalyticsServiceApplication.run.xml

@@ -0,0 +1,31 @@
+<component name="ProjectRunConfigurationManager">
+  <configuration default="false" name="AnalyticsServiceApplication" type="SpringBootApplicationConfigurationType" factoryName="Spring Boot" nameIsGenerated="true">
+    <option name="ACTIVE_PROFILES" />
+    <module name="kt-event-marketing.analytics-service.main" />
+    <option name="SPRING_BOOT_MAIN_CLASS" value="com.kt.analytics.AnalyticsApplication" />
+    <extension name="coverage">
+      <pattern>
+        <option name="PATTERN" value="com.kt.analytics.*" />
+        <option name="ENABLED" value="true" />
+      </pattern>
+    </extension>
+    <envs>
+      <env name="SERVER_PORT" value="8087" />
+      <env name="DB_HOST" value="4.230.49.9" />
+      <env name="DB_PORT" value="5432" />
+      <env name="DB_NAME" value="analyticdb" />
+      <env name="DB_USERNAME" value="eventuser" />
+      <env name="DB_PASSWORD" value="Hi5Jessica!" />
+      <env name="REDIS_HOST" value="20.214.210.71" />
+      <env name="REDIS_PORT" value="6379" />
+      <env name="REDIS_PASSWORD" value="Hi5Jessica!" />
+      <env name="KAFKA_BOOTSTRAP_SERVERS" value="4.230.50.63:9092" />
+      <env name="KAFKA_CONSUMER_GROUP" value="analytic" />
+      <env name="JPA_DDL_AUTO" value="update" />
+      <env name="JPA_SHOW_SQL" value="false" />
+    </envs>
+    <method v="2">
+      <option name="Make" enabled="true" />
+    </method>
+  </configuration>
+</component>

.run/ContentServiceApplication.run.xml

@@ -0,0 +1,29 @@
+<component name="ProjectRunConfigurationManager">
+  <configuration default="false" name="ContentServiceApplication" type="SpringBootApplicationConfigurationType" factoryName="Spring Boot" nameIsGenerated="true">
+    <option name="ACTIVE_PROFILES" />
+    <module name="kt-event-marketing.content-service.main" />
+    <option name="SPRING_BOOT_MAIN_CLASS" value="com.kt.content.ContentApplication" />
+    <extension name="coverage">
+      <pattern>
+        <option name="PATTERN" value="com.kt.content.*" />
+        <option name="ENABLED" value="true" />
+      </pattern>
+    </extension>
+    <envs>
+      <env name="SERVER_PORT" value="8084" />
+      <env name="DB_HOST" value="4.217.131.139" />
+      <env name="DB_PORT" value="5432" />
+      <env name="DB_NAME" value="contentdb" />
+      <env name="DB_USERNAME" value="eventuser" />
+      <env name="DB_PASSWORD" value="Hi5Jessica!" />
+      <env name="REDIS_HOST" value="20.214.210.71" />
+      <env name="REDIS_PORT" value="6379" />
+      <env name="REDIS_PASSWORD" value="Hi5Jessica!" />
+      <env name="JPA_DDL_AUTO" value="update" />
+      <env name="JPA_SHOW_SQL" value="false" />
+    </envs>
+    <method v="2">
+      <option name="Make" enabled="true" />
+    </method>
+  </configuration>
+</component>

.run/DistributionServiceApplication.run.xml

@@ -0,0 +1,31 @@
+<component name="ProjectRunConfigurationManager">
+  <configuration default="false" name="DistributionServiceApplication" type="SpringBootApplicationConfigurationType" factoryName="Spring Boot" nameIsGenerated="true">
+    <option name="ACTIVE_PROFILES" />
+    <module name="kt-event-marketing.distribution-service.main" />
+    <option name="SPRING_BOOT_MAIN_CLASS" value="com.kt.distribution.DistributionApplication" />
+    <extension name="coverage">
+      <pattern>
+        <option name="PATTERN" value="com.kt.distribution.*" />
+        <option name="ENABLED" value="true" />
+      </pattern>
+    </extension>
+    <envs>
+      <env name="SERVER_PORT" value="8085" />
+      <env name="DB_HOST" value="4.217.133.59" />
+      <env name="DB_PORT" value="5432" />
+      <env name="DB_NAME" value="distributiondb" />
+      <env name="DB_USERNAME" value="eventuser" />
+      <env name="DB_PASSWORD" value="Hi5Jessica!" />
+      <env name="REDIS_HOST" value="20.214.210.71" />
+      <env name="REDIS_PORT" value="6379" />
+      <env name="REDIS_PASSWORD" value="Hi5Jessica!" />
+      <env name="KAFKA_BOOTSTRAP_SERVERS" value="4.230.50.63:9092" />
+      <env name="KAFKA_CONSUMER_GROUP" value="distribution-service" />
+      <env name="JPA_DDL_AUTO" value="update" />
+      <env name="JPA_SHOW_SQL" value="false" />
+    </envs>
+    <method v="2">
+      <option name="Make" enabled="true" />
+    </method>
+  </configuration>
+</component>

.run/EventServiceApplication.run.xml

@@ -0,0 +1,31 @@
+<component name="ProjectRunConfigurationManager">
+  <configuration default="false" name="EventServiceApplication" type="SpringBootApplicationConfigurationType" factoryName="Spring Boot" nameIsGenerated="true">
+    <option name="ACTIVE_PROFILES" />
+    <module name="kt-event-marketing.event-service.main" />
+    <option name="SPRING_BOOT_MAIN_CLASS" value="com.kt.event.EventApplication" />
+    <extension name="coverage">
+      <pattern>
+        <option name="PATTERN" value="com.kt.event.*" />
+        <option name="ENABLED" value="true" />
+      </pattern>
+    </extension>
+    <envs>
+      <env name="SERVER_PORT" value="8082" />
+      <env name="DB_HOST" value="20.249.177.232" />
+      <env name="DB_PORT" value="5432" />
+      <env name="DB_NAME" value="eventdb" />
+      <env name="DB_USERNAME" value="eventuser" />
+      <env name="DB_PASSWORD" value="Hi5Jessica!" />
+      <env name="REDIS_HOST" value="20.214.210.71" />
+      <env name="REDIS_PORT" value="6379" />
+      <env name="REDIS_PASSWORD" value="Hi5Jessica!" />
+      <env name="KAFKA_BOOTSTRAP_SERVERS" value="4.230.50.63:9092" />
+      <env name="DISTRIBUTION_SERVICE_URL" value="http://localhost:8085" />
+      <env name="JPA_DDL_AUTO" value="update" />
+      <env name="JPA_SHOW_SQL" value="false" />
+    </envs>
+    <method v="2">
+      <option name="Make" enabled="true" />
+    </method>
+  </configuration>
+</component>

.run/UserServiceApplication.run.xml

@@ -0,0 +1,29 @@
+<component name="ProjectRunConfigurationManager">
+  <configuration default="false" name="UserServiceApplication" type="SpringBootApplicationConfigurationType" factoryName="Spring Boot" nameIsGenerated="true">
+    <option name="ACTIVE_PROFILES" />
+    <module name="kt-event-marketing.user-service.main" />
+    <option name="SPRING_BOOT_MAIN_CLASS" value="com.kt.user.UserApplication" />
+    <extension name="coverage">
+      <pattern>
+        <option name="PATTERN" value="com.kt.user.*" />
+        <option name="ENABLED" value="true" />
+      </pattern>
+    </extension>
+    <envs>
+      <env name="SERVER_PORT" value="8083" />
+      <env name="DB_HOST" value="20.249.125.115" />
+      <env name="DB_PORT" value="5432" />
+      <env name="DB_NAME" value="userdb" />
+      <env name="DB_USERNAME" value="eventuser" />
+      <env name="DB_PASSWORD" value="Hi5Jessica!" />
+      <env name="REDIS_HOST" value="20.214.210.71" />
+      <env name="REDIS_PORT" value="6379" />
+      <env name="REDIS_PASSWORD" value="Hi5Jessica!" />
+      <env name="JPA_DDL_AUTO" value="update" />
+      <env name="JPA_SHOW_SQL" value="false" />
+    </envs>
+    <method v="2">
+      <option name="Make" enabled="true" />
+    </method>
+  </configuration>
+</component>

.run/analytics-service.run.xml

@@ -0,0 +1,84 @@
+<component name="ProjectRunConfigurationManager">
+  <configuration default="false" name="analytics-service" type="GradleRunConfiguration" factoryName="Gradle">
+    <ExternalSystemSettings>
+      <option name="env">
+        <map>
+          <!-- Database Configuration -->
+          <entry key="DB_KIND" value="postgresql" />
+          <entry key="DB_HOST" value="4.230.49.9" />
+          <entry key="DB_PORT" value="5432" />
+          <entry key="DB_NAME" value="analyticdb" />
+          <entry key="DB_USERNAME" value="eventuser" />
+          <entry key="DB_PASSWORD" value="Hi5Jessica!" />
+
+          <!-- JPA Configuration -->
+          <entry key="DDL_AUTO" value="create" />
+          <entry key="SHOW_SQL" value="true" />
+
+          <!-- Redis Configuration -->
+          <entry key="REDIS_HOST" value="20.214.210.71" />
+          <entry key="REDIS_PORT" value="6379" />
+          <entry key="REDIS_PASSWORD" value="Hi5Jessica!" />
+          <entry key="REDIS_DATABASE" value="5" />
+
+          <!-- Kafka Configuration (원격 서버) -->
+          <entry key="KAFKA_ENABLED" value="true" />
+          <entry key="KAFKA_BOOTSTRAP_SERVERS" value="20.249.182.13:9095,4.217.131.59:9095" />
+          <entry key="KAFKA_CONSUMER_GROUP_ID" value="analytics-service-consumers-v3" />
+
+          <!-- Sample Data Configuration (MVP Only) -->
+          <!-- ⚠️ Kafka Producer로 이벤트 발행 (Consumer가 처리) -->
+          <entry key="SAMPLE_DATA_ENABLED" value="true" />
+
+          <!-- Server Configuration -->
+          <entry key="SERVER_PORT" value="8086" />
+
+          <!-- JWT Configuration -->
+          <entry key="JWT_SECRET" value="dev-jwt-secret-key-for-development-only-kt-event-marketing" />
+          <entry key="JWT_ACCESS_TOKEN_VALIDITY" value="1800" />
+          <entry key="JWT_REFRESH_TOKEN_VALIDITY" value="86400" />
+
+          <!-- CORS Configuration -->
+          <entry key="CORS_ALLOWED_ORIGINS" value="http://localhost:*" />
+
+          <!-- Logging Configuration -->
+          <entry key="LOG_FILE" value="logs/analytics-service.log" />
+          <entry key="LOG_LEVEL_APP" value="DEBUG" />
+          <entry key="LOG_LEVEL_WEB" value="INFO" />
+          <entry key="LOG_LEVEL_SQL" value="DEBUG" />
+          <entry key="LOG_LEVEL_SQL_TYPE" value="TRACE" />
+        </map>
+      </option>
+      <option name="executionName" />
+      <option name="externalProjectPath" value="$PROJECT_DIR$" />
+      <option name="externalSystemIdString" value="GRADLE" />
+      <option name="scriptParameters" value="" />
+      <option name="taskDescriptions">
+        <list />
+      </option>
+      <option name="taskNames">
+        <list>
+          <option value="analytics-service:bootRun" />
+        </list>
+      </option>
+      <option name="vmOptions" />
+    </ExternalSystemSettings>
+    <ExternalSystemDebugServerProcess>true</ExternalSystemDebugServerProcess>
+    <ExternalSystemReattachDebugProcess>true</ExternalSystemReattachDebugProcess>
+    <EXTENSION ID="com.intellij.execution.ExternalSystemRunConfigurationJavaExtension">
+      <extension name="net.ashald.envfile">
+        <option name="IS_ENABLED" value="false" />
+        <option name="IS_SUBST" value="false" />
+        <option name="IS_PATH_MACRO_SUPPORTED" value="false" />
+        <option name="IS_IGNORE_MISSING_FILES" value="false" />
+        <option name="IS_ENABLE_EXPERIMENTAL_INTEGRATIONS" value="false" />
+        <ENTRIES>
+          <ENTRY IS_ENABLED="true" PARSER="runconfig" IS_EXECUTABLE="false" />
+        </ENTRIES>
+      </extension>
+    </EXTENSION>
+    <DebugAllEnabled>false</DebugAllEnabled>
+    <RunAsTest>false</RunAsTest>
+    <method v="2" />
+  </configuration>
+</component>

API-TEST-RESULT.md

@@ -0,0 +1,244 @@
+# API 연동 테스트 결과 보고서
+
+**테스트 일시**: 2025-10-29
+**테스트 대상**: 프론트엔드(localhost:3000)와 event-service(localhost:8080) API 연동
+
+---
+
+## ✅ 테스트 결과 요약
+
+### 1. 서비스 실행 상태
+- **프론트엔드**: ✅ Next.js 서버 (port 3000) 정상 실행
+- **백엔드**: ✅ Event-service (port 8080) 정상 실행
+- **데이터베이스**: ✅ PostgreSQL 연결 정상 (헬스체크 통과)
+
+### 2. API 연동 테스트
+
+#### 2.1 백엔드 API 직접 호출 테스트
+**테스트 명령어**:
+```bash
+curl -X GET "http://localhost:8080/api/v1/events?page=0&size=20" \
+  -H "Authorization: Bearer <JWT_TOKEN>" \
+  -H "Content-Type: application/json"
+```
+
+**결과**: ✅ **성공**
+- 응답 코드: 200 OK
+- 조회된 이벤트: 8개
+- 응답 형식: JSON (표준 API 응답 포맷)
+- 페이지네이션: 정상 작동
+
+**샘플 응답 데이터**:
+```json
+{
+    "success": true,
+    "data": {
+        "content": [
+            {
+                "eventId": "2a91c77c-9276-49d3-94d5-0ab8f0b3d343",
+                "userId": "11111111-1111-1111-1111-111111111111",
+                "storeId": "22222222-2222-2222-2222-222222222222",
+                "objective": "awareness",
+                "status": "DRAFT",
+                "createdAt": "2025-10-29T11:08:38.556326"
+            }
+            // ... 7개 더
+        ],
+        "page": 0,
+        "size": 20,
+        "totalElements": 8,
+        "totalPages": 1
+    }
+}
+```
+
+#### 2.2 인증 테스트
+**JWT 토큰**: ✅ 정상 작동
+- 토큰 생성 스크립트: `generate-test-token.py`
+- 유효 기간: 365일 (테스트용)
+- 알고리즘: HS256
+- Secret: 백엔드와 일치
+
+#### 2.3 프론트엔드 설정
+**환경 변수 파일**: `.env.local` 생성 완료
+```env
+NEXT_PUBLIC_API_BASE_URL=http://localhost:8081
+NEXT_PUBLIC_EVENT_HOST=http://localhost:8080
+NEXT_PUBLIC_API_VERSION=v1
+```
+
+**현재 상태**: ⚠️ **Mock 데이터 사용 중**
+- 파일: `src/app/(main)/events/page.tsx`
+- 이벤트 목록 페이지가 하드코딩된 Mock 데이터 표시
+- 실제 API 연동 코드 미구현 상태
+
+---
+
+## 📊 API 엔드포인트 정보
+
+### Event Service (localhost:8080)
+
+#### 1. 이벤트 목록 조회
+- **URL**: `GET /api/v1/events`
+- **인증**: Bearer Token 필수
+- **파라미터**:
+  - `status`: EventStatus (optional) - DRAFT, PUBLISHED, ENDED
+  - `search`: String (optional) - 검색어
+  - `objective`: String (optional) - 목적 필터
+  - `page`: int (default: 0)
+  - `size`: int (default: 20)
+  - `sort`: String (default: createdAt)
+  - `order`: String (default: desc)
+
+#### 2. 이벤트 상세 조회
+- **URL**: `GET /api/v1/events/{eventId}`
+- **인증**: Bearer Token 필수
+
+#### 3. 이벤트 생성 (목적 선택)
+- **URL**: `POST /api/v1/events/objectives`
+- **인증**: Bearer Token 필수
+- **Request Body**:
+```json
+{
+  "objective": "CUSTOMER_ACQUISITION"
+}
+```
+
+#### 4. 추가 엔드포인트
+- `DELETE /api/v1/events/{eventId}` - 이벤트 삭제
+- `POST /api/v1/events/{eventId}/publish` - 이벤트 배포
+- `POST /api/v1/events/{eventId}/end` - 이벤트 종료
+- `POST /api/v1/events/{eventId}/ai-recommendations` - AI 추천 요청
+- `POST /api/v1/events/{eventId}/images` - 이미지 생성 요청
+- `PUT /api/v1/events/{eventId}` - 이벤트 수정
+
+---
+
+## 🔍 발견 사항
+
+### ✅ 정상 작동 항목
+1. **백엔드 서비스**
+   - Event-service 정상 실행 (port 8080)
+   - PostgreSQL 데이터베이스 연결 정상
+   - API 엔드포인트 정상 응답
+   - JWT 인증 시스템 작동
+
+2. **프론트엔드 서비스**
+   - Next.js 개발 서버 정상 실행 (port 3000)
+   - 페이지 렌더링 정상
+   - 환경 변수 설정 완료
+
+### ⚠️ 개선 필요 항목
+
+#### 1. 프론트엔드 API 연동 미구현
+**현재 상태**:
+- `src/app/(main)/events/page.tsx` 파일이 Mock 데이터 사용
+- 실제 API 호출 코드 없음
+
+**권장 수정 사항**:
+```typescript
+// src/entities/event/api/eventApi.ts (신규 생성 필요)
+import { apiClient } from '@/shared/api';
+
+export const eventApi = {
+  getEvents: async (params) => {
+    const response = await apiClient.get('/api/v1/events', { params });
+    return response.data;
+  },
+  // ... 기타 메서드
+};
+```
+
+#### 2. API 클라이언트 설정 개선
+**현재**:
+- `apiClient` 기본 URL이 user-service(8081)를 가리킴
+- Event API는 별도 서비스(8080)
+
+**개선 방안**:
+```typescript
+// 서비스별 클라이언트 분리 또는
+// NEXT_PUBLIC_EVENT_HOST 환경 변수 활용
+const eventApiClient = axios.create({
+  baseURL: process.env.NEXT_PUBLIC_EVENT_HOST || 'http://localhost:8080',
+  // ...
+});
+```
+
+---
+
+## 📝 테스트 체크리스트
+
+### 완료된 항목 ✅
+- [x] 백엔드 서비스 실행 상태 확인
+- [x] 프론트엔드 서비스 실행 상태 확인
+- [x] Event Service API 직접 호출 테스트
+- [x] JWT 인증 토큰 생성 및 테스트
+- [x] 환경 변수 설정 (`.env.local`)
+- [x] API 응답 형식 확인
+- [x] 페이지네이션 동작 확인
+- [x] 데이터베이스 연결 확인
+
+### 추가 작업 필요 ⏳
+- [ ] 프론트엔드 API 연동 코드 작성
+- [ ] Event API 클라이언트 구현
+- [ ] React Query 또는 SWR 통합
+- [ ] 에러 핸들링 구현
+- [ ] 로딩 상태 UI 구현
+- [ ] 실제 데이터 렌더링 테스트
+- [ ] E2E 테스트 작성
+
+---
+
+## 🎯 다음 단계 권장사항
+
+### 1단계: Event API 클라이언트 작성
+```bash
+# 파일 생성
+src/entities/event/api/eventApi.ts
+src/entities/event/model/types.ts
+```
+
+### 2단계: React Query 설정
+```bash
+# useEvents 훅 작성
+src/entities/event/model/useEvents.ts
+```
+
+### 3단계: 페이지 수정
+```bash
+# Mock 데이터를 실제 API 호출로 교체
+src/app/(main)/events/page.tsx
+```
+
+### 4단계: 통합 테스트
+- 브라우저에서 실제 데이터 렌더링 확인
+- 필터링 및 검색 기능 테스트
+- 페이지네이션 동작 확인
+
+---
+
+## 📌 참고 정보
+
+### 테스트 토큰 정보
+- User ID: `6db043d0-b303-4577-b9dd-6d366cc59fa0`
+- Store ID: `34000028-01fd-4ed1-975c-35f7c88b6547`
+- Email: `test@example.com`
+- 유효 기간: 2026-10-29까지
+
+### 서비스 포트 매핑
+| 서비스 | 포트 | 상태 |
+|--------|------|------|
+| 프론트엔드 | 3000 | ✅ Running |
+| User Service | 8081 | ⚠️ 미확인 |
+| Event Service | 8080 | ✅ Running |
+| Content Service | 8082 | ⚠️ 미확인 |
+| AI Service | 8083 | ⚠️ 미확인 |
+| Participation Service | 8084 | ⚠️ 미확인 |
+
+---
+
+## ✨ 결론
+
+**백엔드 API는 정상적으로 작동하고 있으며, 프론트엔드와의 연동을 위한 환경은 준비되었습니다.**
+
+다음 작업은 프론트엔드에서 Mock 데이터를 실제 API 호출로 교체하는 것입니다.

ai-service/Dockerfile

@@ -0,0 +1,24 @@
+# Multi-stage build for Spring Boot application
+FROM eclipse-temurin:21-jre-alpine AS builder
+WORKDIR /app
+COPY build/libs/*.jar app.jar
+RUN java -Djarmode=layertools -jar app.jar extract
+
+FROM eclipse-temurin:21-jre-alpine
+WORKDIR /app
+
+# Create non-root user
+RUN addgroup -S spring && adduser -S spring -G spring
+USER spring:spring
+
+# Copy layers from builder
+COPY --from=builder /app/dependencies/ ./
+COPY --from=builder /app/spring-boot-loader/ ./
+COPY --from=builder /app/snapshot-dependencies/ ./
+COPY --from=builder /app/application/ ./
+
+# Health check
+HEALTHCHECK --interval=30s --timeout=3s --start-period=60s --retries=3 \
+  CMD wget --no-verbose --tries=1 --spider http://localhost:8083/api/v1/ai-service/actuator/health || exit 1
+
+ENTRYPOINT ["java", "org.springframework.boot.loader.launch.JarLauncher"]

ai-service/build.gradle

@@ -1,3 +1,7 @@
+bootJar {
+    archiveFileName = 'ai-service.jar'
+}
+
 dependencies {
     // Kafka Consumer
     implementation 'org.springframework.kafka:spring-kafka'

ai-service/src/main/resources/application.yml

@@ -5,31 +5,31 @@ spring:
   # Redis Configuration
   data:
     redis:
-      host: ${REDIS_HOST:redis-external}  # Production: redis-external, Local: 20.214.210.71
+      host: ${REDIS_HOST:20.214.210.71}
       port: ${REDIS_PORT:6379}
-      password: ${REDIS_PASSWORD:}
+      password: ${REDIS_PASSWORD:Hi5Jessica!}
-      database: ${REDIS_DATABASE:0}  # AI Service uses database 3
+      database: ${REDIS_DATABASE:3}
       timeout: ${REDIS_TIMEOUT:3000}
       lettuce:
         pool:
-          max-active: 8
+          max-active: ${REDIS_POOL_MAX:8}
-          max-idle: 8
+          max-idle: ${REDIS_POOL_IDLE:8}
-          min-idle: 2
+          min-idle: ${REDIS_POOL_MIN:2}
-          max-wait: -1ms
+          max-wait: ${REDIS_POOL_WAIT:-1ms}
 
   # Kafka Consumer Configuration
   kafka:
-    bootstrap-servers: ${KAFKA_BOOTSTRAP_SERVERS:localhost:9092}
+    bootstrap-servers: ${KAFKA_BOOTSTRAP_SERVERS:4.230.50.63:9092}
     consumer:
-      group-id: ai-service-consumers
+      group-id: ${KAFKA_CONSUMER_GROUP:ai-service-consumers}
       auto-offset-reset: earliest
       enable-auto-commit: false
       key-deserializer: org.apache.kafka.common.serialization.StringDeserializer
       value-deserializer: org.springframework.kafka.support.serializer.JsonDeserializer
       properties:
         spring.json.trusted.packages: "*"
-        max.poll.records: ${KAFKA_MAX_POLL_RECORDS:10}
+        max.poll.records: 10
-        session.timeout.ms: ${KAFKA_SESSION_TIMEOUT:30000}
+        session.timeout.ms: 30000
     listener:
       ack-mode: manual
 
@@ -37,7 +37,7 @@ spring:
 server:
   port: ${SERVER_PORT:8083}
   servlet:
-    context-path: /
+    context-path: /api/v1/ai-service
     encoding:
       charset: UTF-8
       enabled: true
@@ -45,13 +45,13 @@ server:
 
 # JWT Configuration
 jwt:
-  secret: ${JWT_SECRET:}
+  secret: ${JWT_SECRET:kt-event-marketing-secret-key-for-development-only-please-change-in-production}
-  access-token-validity: ${JWT_ACCESS_TOKEN_VALIDITY:1800}
+  access-token-validity: ${JWT_ACCESS_TOKEN_VALIDITY:604800000}
   refresh-token-validity: ${JWT_REFRESH_TOKEN_VALIDITY:86400}
 
 # CORS Configuration
 cors:
-  allowed-origins: ${CORS_ALLOWED_ORIGINS:http://localhost:3000,http://localhost:8080}
+  allowed-origins: ${CORS_ALLOWED_ORIGINS:http://localhost:*}
   allowed-methods: ${CORS_ALLOWED_METHODS:GET,POST,PUT,DELETE,OPTIONS,PATCH}
   allowed-headers: ${CORS_ALLOWED_HEADERS:*}
   allow-credentials: ${CORS_ALLOW_CREDENTIALS:true}
@@ -91,45 +91,39 @@ springdoc:
 # Logging Configuration
 logging:
   level:
-    root: INFO
+    root: ${LOG_LEVEL_ROOT:INFO}
-    com.kt.ai: DEBUG
+    com.kt.ai: ${LOG_LEVEL_AI:DEBUG}
-    org.springframework.kafka: INFO
+    org.springframework.kafka: ${LOG_LEVEL_KAFKA:INFO}
-    org.springframework.data.redis: INFO
+    org.springframework.data.redis: ${LOG_LEVEL_REDIS:INFO}
-    io.github.resilience4j: DEBUG
+    io.github.resilience4j: ${LOG_LEVEL_RESILIENCE4J:DEBUG}
   pattern:
     console: "%d{yyyy-MM-dd HH:mm:ss} [%thread] %-5level %logger{36} - %msg%n"
     file: "%d{yyyy-MM-dd HH:mm:ss} [%thread] %-5level %logger{36} - %msg%n"
   file:
-    name: ${LOG_FILE:logs/ai-service.log}
+    name: ${LOG_FILE_NAME:logs/ai-service.log}
   logback:
     rollingpolicy:
-      max-file-size: 10MB
+      max-file-size: ${LOG_FILE_MAX_SIZE:10MB}
-      max-history: 7
+      max-history: ${LOG_FILE_MAX_HISTORY:7}
-      total-size-cap: 100MB
+      total-size-cap: ${LOG_FILE_TOTAL_CAP:100MB}
 
 # Kafka Topics Configuration
 kafka:
   topics:
-    ai-job: ${KAFKA_TOPIC_AI_JOB:ai-event-generation-job}
+    ai-job: ${KAFKA_TOPICS_AI_JOB:ai-event-generation-job}
-    ai-job-dlq: ${KAFKA_TOPIC_AI_JOB_DLQ:ai-event-generation-job-dlq}
+    ai-job-dlq: ${KAFKA_TOPICS_AI_JOB_DLQ:ai-event-generation-job-dlq}
 
-# AI External API Configuration
+# AI API Configuration (실제 API 사용)
 ai:
+  provider: ${AI_PROVIDER:CLAUDE}
   claude:
-    api-url: ${CLAUDE_API_URL:https://api.anthropic.com/v1/messages}
+    api-url: ${AI_CLAUDE_API_URL:https://api.anthropic.com/v1/messages}
-    api-key: ${CLAUDE_API_KEY:}
+    api-key: ${AI_CLAUDE_API_KEY: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}
-    anthropic-version: ${CLAUDE_ANTHROPIC_VERSION:2023-06-01}
+    anthropic-version: ${AI_CLAUDE_ANTHROPIC_VERSION:2023-06-01}
-    model: ${CLAUDE_MODEL:claude-3-5-sonnet-20241022}
+    model: ${AI_CLAUDE_MODEL:claude-sonnet-4-5-20250929}
-    max-tokens: ${CLAUDE_MAX_TOKENS:4096}
+    max-tokens: ${AI_CLAUDE_MAX_TOKENS:4096}
-    temperature: ${CLAUDE_TEMPERATURE:0.7}
+    temperature: ${AI_CLAUDE_TEMPERATURE:0.7}
-    timeout: ${CLAUDE_TIMEOUT:300000}  # 5 minutes
+    timeout: ${AI_CLAUDE_TIMEOUT:300000}
-  gpt4:
-    api-url: ${GPT4_API_URL:https://api.openai.com/v1/chat/completions}
-    api-key: ${GPT4_API_KEY:}
-    model: ${GPT4_MODEL:gpt-4-turbo-preview}
-    max-tokens: ${GPT4_MAX_TOKENS:4096}
-    timeout: ${GPT4_TIMEOUT:300000}  # 5 minutes
-  provider: ${AI_PROVIDER:CLAUDE}  # CLAUDE or GPT4
 
 # Circuit Breaker Configuration
 resilience4j:

analytics-service/.run/analytics-service.run.xml

@@ -12,7 +12,7 @@
           <entry key="DB_PASSWORD" value="Hi5Jessica!" />
 
           <!-- JPA Configuration -->
-          <entry key="DDL_AUTO" value="update" />
+          <entry key="DDL_AUTO" value="create" />
           <entry key="SHOW_SQL" value="true" />
 
           <!-- Redis Configuration -->
@@ -24,7 +24,7 @@
           <!-- Kafka Configuration (원격 서버) -->
           <entry key="KAFKA_ENABLED" value="true" />
           <entry key="KAFKA_BOOTSTRAP_SERVERS" value="20.249.182.13:9095,4.217.131.59:9095" />
-          <entry key="KAFKA_CONSUMER_GROUP_ID" value="analytics-service-consumers" />
+          <entry key="KAFKA_CONSUMER_GROUP_ID" value="analytics-service-consumers-v3" />
 
           <!-- Sample Data Configuration (MVP Only) -->
           <!-- ⚠️ Kafka Producer로 이벤트 발행 (Consumer가 처리) -->
@@ -39,7 +39,7 @@
           <entry key="JWT_REFRESH_TOKEN_VALIDITY" value="86400" />
 
           <!-- CORS Configuration -->
-          <entry key="CORS_ALLOWED_ORIGINS" value="http://localhost:*" />
+          <entry key="CORS_ALLOWED_ORIGINS" value="http://localhost:*,http://*.nip.io:*" />
 
           <!-- Logging Configuration -->
           <entry key="LOG_FILE" value="logs/analytics-service.log" />

analytics-service/Dockerfile

@@ -0,0 +1,24 @@
+# Multi-stage build for Spring Boot application
+FROM eclipse-temurin:21-jre-alpine AS builder
+WORKDIR /app
+COPY build/libs/*.jar app.jar
+RUN java -Djarmode=layertools -jar app.jar extract
+
+FROM eclipse-temurin:21-jre-alpine
+WORKDIR /app
+
+# Create non-root user
+RUN addgroup -S spring && adduser -S spring -G spring
+USER spring:spring
+
+# Copy layers from builder
+COPY --from=builder /app/dependencies/ ./
+COPY --from=builder /app/spring-boot-loader/ ./
+COPY --from=builder /app/snapshot-dependencies/ ./
+COPY --from=builder /app/application/ ./
+
+# Health check
+HEALTHCHECK --interval=30s --timeout=3s --start-period=60s --retries=3 \
+  CMD wget --no-verbose --tries=1 --spider http://localhost:8086/api/v1/analytics/actuator/health || exit 1
+
+ENTRYPOINT ["java", "org.springframework.boot.loader.launch.JarLauncher"]

analytics-service/build.gradle

@@ -1,3 +1,7 @@
+bootJar {
+    archiveFileName = 'analytics-service.jar'
+}
+
 dependencies {
     // Kafka Consumer
     implementation 'org.springframework.kafka:spring-kafka'

analytics-service/frontend-backend-validation.md

@@ -0,0 +1,108 @@
+# 백엔드-프론트엔드 API 연동 검증 및 수정 결과
+
+**작업일시**: 2025-10-28
+**브랜치**: feature/analytics
+**작업 범위**: Analytics Service 백엔드 DTO 및 Service 수정
+
+---
+
+## 📝 수정 요약
+
+### 1️⃣ 필드명 통일 (프론트엔드 호환)
+
+**목적**: 프론트엔드 Mock 데이터 필드명과 백엔드 Response DTO 필드명 일치
+
+| 수정 전 (백엔드) | 수정 후 (백엔드) | 프론트엔드 |
+|-----------------|----------------|-----------|
+| `summary.totalParticipants` | `summary.participants` | `summary.participants` ✅ |
+| `channelPerformance[].channelName` | `channelPerformance[].channel` | `channelPerformance[].channel` ✅ |
+| `roi.totalInvestment` | `roi.totalCost` | `roiDetail.totalCost` ✅ |
+
+### 2️⃣ 증감 데이터 추가
+
+**목적**: 프론트엔드에서 요구하는 증감 표시 및 목표값 제공
+
+| 필드 | 타입 | 설명 | 현재 값 |
+|-----|------|------|---------|
+| `summary.participantsDelta` | `Integer` | 참여자 증감 (이전 기간 대비) | `0` (TODO: 계산 로직 필요) |
+| `summary.targetRoi` | `Double` | 목표 ROI (%) | EventStats에서 가져옴 |
+
+---
+
+## 🔧 수정 파일 목록
+
+### DTO (Response 구조 변경)
+
+1. **AnalyticsSummary.java**
+   - ✅ `totalParticipants` → `participants`
+   - ✅ `participantsDelta` 필드 추가
+   - ✅ `targetRoi` 필드 추가
+
+2. **ChannelSummary.java**
+   - ✅ `channelName` → `channel`
+
+3. **RoiSummary.java**
+   - ✅ `totalInvestment` → `totalCost`
+
+### Entity (데이터베이스 스키마 변경)
+
+4. **EventStats.java**
+   - ✅ `targetRoi` 필드 추가 (`BigDecimal`, default: 0)
+
+### Service (비즈니스 로직 수정)
+
+5. **AnalyticsService.java**
+   - ✅ `.participants()` 사용
+   - ✅ `.participantsDelta(0)` 추가 (TODO 마킹)
+   - ✅ `.targetRoi()` 추가
+   - ✅ `.channel()` 사용
+
+6. **ROICalculator.java**
+   - ✅ `.totalCost()` 사용
+
+7. **UserAnalyticsService.java**
+   - ✅ `.participants()` 사용
+   - ✅ `.participantsDelta(0)` 추가
+   - ✅ `.channel()` 사용
+   - ✅ `.totalCost()` 사용
+
+---
+
+## ✅ 검증 결과
+
+### 컴파일 성공
+\`\`\`bash
+$ ./gradlew analytics-service:compileJava
+
+BUILD SUCCESSFUL in 8s
+\`\`\`
+
+---
+
+## 📊 데이터베이스 스키마 변경
+
+### EventStats 테이블
+
+\`\`\`sql
+ALTER TABLE event_stats
+ADD COLUMN target_roi DECIMAL(10,2) DEFAULT 0.00;
+\`\`\`
+
+**⚠️ 주의사항**
+- Spring Boot JPA `ddl-auto` 설정에 따라 자동 적용됨
+
+---
+
+## 📌 다음 단계
+
+### 우선순위 HIGH
+
+1. **프론트엔드 API 연동 테스트**
+2. **participantsDelta 계산 로직 구현**
+3. **targetRoi 데이터 입력** (Event Service 연동)
+
+### 우선순위 MEDIUM
+
+4. 시간대별 분석 구현
+5. 참여자 프로필 구현
+6. ROI 세분화 구현

analytics-service/src/main/java/com/kt/event/analytics/batch/AnalyticsBatchScheduler.java

@@ -63,7 +63,7 @@ public class AnalyticsBatchScheduler {
                              event.getEventId(), event.getEventTitle());
 
                     // refresh=true로 호출하여 캐시 갱신 및 외부 API 호출
-                    analyticsService.getDashboardData(event.getEventId(), null, null, true);
+                    analyticsService.getDashboardData(event.getEventId(), true);
 
                     successCount++;
                     log.info("✅ 배치 갱신 완료: eventId={}", event.getEventId());
@@ -99,7 +99,7 @@ public class AnalyticsBatchScheduler {
 
             for (EventStats event : allEvents) {
                 try {
-                    analyticsService.getDashboardData(event.getEventId(), null, null, true);
+                    analyticsService.getDashboardData(event.getEventId(), true);
                     log.debug("초기 데이터 로딩 완료: eventId={}", event.getEventId());
                 } catch (Exception e) {
                     log.warn("초기 데이터 로딩 실패: eventId={}, error={}",

analytics-service/src/main/java/com/kt/event/analytics/config/KafkaConsumerConfig.java

@@ -17,13 +17,13 @@ import java.util.Map;
  * Kafka Consumer 설정
  */
 @Configuration
-@ConditionalOnProperty(name = "spring.kafka.enabled", havingValue = "true", matchIfMissing = true)
+@ConditionalOnProperty(name = "spring.kafka.enabled", havingValue = "true", matchIfMissing = false)
 public class KafkaConsumerConfig {
 
     @Value("${spring.kafka.bootstrap-servers}")
     private String bootstrapServers;
 
-    @Value("${spring.kafka.consumer.group-id:analytics-service}")
+    @Value("${spring.kafka.consumer.group-id:analytics-service-consumers-v3}")
     private String groupId;
 
     @Bean

analytics-service/src/main/java/com/kt/event/analytics/config/KafkaProducerConfig.java

@@ -0,0 +1,46 @@
+package com.kt.event.analytics.config;
+
+import org.apache.kafka.clients.producer.ProducerConfig;
+import org.apache.kafka.common.serialization.StringSerializer;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+import org.springframework.kafka.core.DefaultKafkaProducerFactory;
+import org.springframework.kafka.core.KafkaTemplate;
+import org.springframework.kafka.core.ProducerFactory;
+
+import java.util.HashMap;
+import java.util.Map;
+
+/**
+ * Kafka Producer 설정
+ *
+ * ⚠️ MVP 전용: SampleDataLoader가 Kafka 이벤트를 발행하기 위해 필요
+ * ⚠️ 실제 운영: Analytics Service는 순수 Consumer 역할만 수행하므로 Producer 불필요
+ *
+ * String 직렬화 방식 사용 (SampleDataLoader가 JSON 문자열을 직접 발행)
+ */
+@Configuration
+@ConditionalOnProperty(name = "spring.kafka.enabled", havingValue = "true", matchIfMissing = false)
+public class KafkaProducerConfig {
+
+    @Value("${spring.kafka.bootstrap-servers}")
+    private String bootstrapServers;
+
+    @Bean
+    public ProducerFactory<String, String> producerFactory() {
+        Map<String, Object> configProps = new HashMap<>();
+        configProps.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers);
+        configProps.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
+        configProps.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
+        configProps.put(ProducerConfig.ACKS_CONFIG, "all");
+        configProps.put(ProducerConfig.RETRIES_CONFIG, 3);
+        return new DefaultKafkaProducerFactory<>(configProps);
+    }
+
+    @Bean
+    public KafkaTemplate<String, String> kafkaTemplate() {
+        return new KafkaTemplate<>(producerFactory());
+    }
+}

analytics-service/src/main/java/com/kt/event/analytics/config/SampleDataLoader.java

@@ -11,19 +11,23 @@ import jakarta.annotation.PreDestroy;
 import jakarta.persistence.EntityManager;
 import lombok.RequiredArgsConstructor;
 import lombok.extern.slf4j.Slf4j;
+import org.apache.kafka.clients.admin.AdminClient;
+import org.apache.kafka.clients.admin.DeleteConsumerGroupOffsetsResult;
+import org.apache.kafka.clients.admin.ListConsumerGroupOffsetsResult;
+import org.apache.kafka.common.TopicPartition;
 import org.springframework.boot.ApplicationArguments;
 import org.springframework.boot.ApplicationRunner;
 import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
 import org.springframework.data.redis.core.RedisTemplate;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.kafka.core.KafkaAdmin;
 import org.springframework.kafka.core.KafkaTemplate;
 import org.springframework.stereotype.Component;
 import org.springframework.transaction.annotation.Transactional;
 
 import java.math.BigDecimal;
-import java.util.ArrayList;
+import java.util.*;
-import java.util.List;
+import java.util.concurrent.TimeUnit;
-import java.util.Random;
-import java.util.UUID;
 
 /**
  * 샘플 데이터 로더 (Kafka Producer 방식)
@@ -47,6 +51,7 @@ import java.util.UUID;
 public class SampleDataLoader implements ApplicationRunner {
 
     private final KafkaTemplate<String, String> kafkaTemplate;
+    private final KafkaAdmin kafkaAdmin;
     private final ObjectMapper objectMapper;
     private final EventStatsRepository eventStatsRepository;
     private final ChannelStatsRepository channelStatsRepository;
@@ -56,6 +61,9 @@ public class SampleDataLoader implements ApplicationRunner {
 
     private final Random random = new Random();
 
+    @Value("${spring.kafka.consumer.group-id}")
+    private String consumerGroupId;
+
     // Kafka Topic Names (MVP용 샘플 토픽)
     private static final String EVENT_CREATED_TOPIC = "sample.event.created";
     private static final String PARTICIPANT_REGISTERED_TOPIC = "sample.participant.registered";
@@ -85,9 +93,9 @@ public class SampleDataLoader implements ApplicationRunner {
 
         // Redis 멱등성 키 삭제 (새로운 이벤트 처리를 위해)
         log.info("Redis 멱등성 키 삭제 중...");
-        redisTemplate.delete("processed_events");
+        redisTemplate.delete("processed_events_v2");
-        redisTemplate.delete("distribution_completed");
+        redisTemplate.delete("distribution_completed_v2");
-        redisTemplate.delete("processed_participants");
+        redisTemplate.delete("processed_participants_v2");
         log.info("✅ Redis 멱등성 키 삭제 완료");
 
         try {
@@ -103,6 +111,8 @@ public class SampleDataLoader implements ApplicationRunner {
 
             // 3. ParticipantRegistered 이벤트 발행 (각 이벤트당 다수 참여자)
             publishParticipantRegisteredEvents();
+            log.info("⏳ 참여자 등록 이벤트 처리 대기 중... (20초)");
+            Thread.sleep(20000);  // ParticipantRegisteredConsumer가 180개 이벤트 처리할 시간 (비관적 락 고려)
 
             log.info("========================================");
             log.info("🎉 Kafka 이벤트 발행 완료! (Consumer가 처리 중...)");
@@ -127,16 +137,17 @@ public class SampleDataLoader implements ApplicationRunner {
     }
 
     /**
-     * 서비스 종료 시 전체 데이터 삭제
+     * 서비스 종료 시 전체 데이터 삭제 및 Consumer Offset 리셋
      */
     @PreDestroy
     @Transactional
     public void onShutdown() {
         log.info("========================================");
-        log.info("🛑 서비스 종료: PostgreSQL 전체 데이터 삭제");
+        log.info("🛑 서비스 종료: PostgreSQL 전체 데이터 삭제 + Kafka Consumer Offset 리셋");
         log.info("========================================");
 
         try {
+            // 1. PostgreSQL 데이터 삭제
             long timelineCount = timelineDataRepository.count();
             long channelCount = channelStatsRepository.count();
             long eventCount = eventStatsRepository.count();
@@ -153,6 +164,10 @@ public class SampleDataLoader implements ApplicationRunner {
             entityManager.clear();
 
             log.info("✅ 모든 샘플 데이터 삭제 완료!");
+
+            // 2. Kafka Consumer Offset 리셋 (다음 시작 시 처음부터 읽도록)
+            resetConsumerOffsets();
+
             log.info("========================================");
 
         } catch (Exception e) {
@@ -160,37 +175,85 @@ public class SampleDataLoader implements ApplicationRunner {
         }
     }
 
+    /**
+     * Kafka Consumer Group Offset 리셋
+     *
+     * 서비스 종료 시 Consumer offset을 삭제하여 다음 시작 시
+     * auto.offset.reset=earliest 설정에 따라 처음부터 읽도록 함
+     */
+    private void resetConsumerOffsets() {
+        try (AdminClient adminClient = AdminClient.create(kafkaAdmin.getConfigurationProperties())) {
+            log.info("🔄 Kafka Consumer Offset 리셋 시작: group={}", consumerGroupId);
+
+            // 모든 토픽의 offset 삭제
+            Set<TopicPartition> partitions = new HashSet<>();
+
+            // 토픽별 파티션 추가 (설계서상 각 토픽은 3개 파티션)
+            for (int i = 0; i < 3; i++) {
+                partitions.add(new TopicPartition(EVENT_CREATED_TOPIC, i));
+                partitions.add(new TopicPartition(PARTICIPANT_REGISTERED_TOPIC, i));
+                partitions.add(new TopicPartition(DISTRIBUTION_COMPLETED_TOPIC, i));
+            }
+
+            // Consumer Group Offset 삭제
+            DeleteConsumerGroupOffsetsResult result = adminClient.deleteConsumerGroupOffsets(
+                consumerGroupId,
+                partitions
+            );
+
+            // 완료 대기 (최대 10초)
+            result.all().get(10, TimeUnit.SECONDS);
+
+            log.info("✅ Kafka Consumer Offset 리셋 완료!");
+            log.info("   → 다음 시작 시 처음부터(earliest) 메시지를 읽습니다.");
+
+        } catch (Exception e) {
+            // Offset 리셋 실패는 치명적이지 않으므로 경고만 출력
+            log.warn("⚠️ Kafka Consumer Offset 리셋 실패 (무시 가능): {}", e.getMessage());
+            log.warn("   → 수동으로 Consumer Group ID를 변경하거나, Kafka 도구로 offset을 삭제하세요.");
+        }
+    }
+
     /**
      * EventCreated 이벤트 발행
      */
     private void publishEventCreatedEvents() throws Exception {
-        // 이벤트 1: 신년맞이 할인 이벤트 (진행중, 높은 성과)
+        // 이벤트 1: 신년맞이 할인 이벤트 (진행중, 높은 성과 - ROI 200%)
         EventCreatedEvent event1 = EventCreatedEvent.builder()
             .eventId("evt_2025012301")
             .eventTitle("신년맞이 20% 할인 이벤트")
             .storeId("store_001")
             .totalInvestment(new BigDecimal("5000000"))
+            .expectedRevenue(new BigDecimal("15000000"))  // 투자 대비 3배 수익
             .status("ACTIVE")
+            .startDate(java.time.LocalDateTime.of(2025, 1, 23, 0, 0))  // 2025-01-23 시작
+            .endDate(null)  // 진행중
             .build();
         publishEvent(EVENT_CREATED_TOPIC, event1);
 
-        // 이벤트 2: 설날 특가 이벤트 (진행중, 중간 성과)
+        // 이벤트 2: 설날 특가 이벤트 (진행중, 중간 성과 - ROI 100%)
         EventCreatedEvent event2 = EventCreatedEvent.builder()
             .eventId("evt_2025020101")
             .eventTitle("설날 특가 선물세트 이벤트")
             .storeId("store_001")
             .totalInvestment(new BigDecimal("3500000"))
+            .expectedRevenue(new BigDecimal("7000000"))  // 투자 대비 2배 수익
             .status("ACTIVE")
+            .startDate(java.time.LocalDateTime.of(2025, 2, 1, 0, 0))  // 2025-02-01 시작
+            .endDate(null)  // 진행중
             .build();
         publishEvent(EVENT_CREATED_TOPIC, event2);
 
-        // 이벤트 3: 겨울 신메뉴 런칭 이벤트 (종료, 저조한 성과)
+        // 이벤트 3: 겨울 신메뉴 런칭 이벤트 (종료, 저조한 성과 - ROI 50%)
         EventCreatedEvent event3 = EventCreatedEvent.builder()
             .eventId("evt_2025011501")
             .eventTitle("겨울 신메뉴 런칭 이벤트")
             .storeId("store_001")
             .totalInvestment(new BigDecimal("2000000"))
+            .expectedRevenue(new BigDecimal("3000000"))  // 투자 대비 1.5배 수익
             .status("COMPLETED")
+            .startDate(java.time.LocalDateTime.of(2025, 1, 15, 0, 0))  // 2025-01-15 시작
+            .endDate(java.time.LocalDateTime.of(2025, 1, 31, 23, 59))  // 2025-01-31 종료
             .build();
         publishEvent(EVENT_CREATED_TOPIC, event3);
 
@@ -208,42 +271,63 @@ public class SampleDataLoader implements ApplicationRunner {
             {1500, 3000, 1000, 500}     // 이벤트3
         };
 
+        // 각 이벤트의 총 투자 금액
+        BigDecimal[] totalInvestments = {
+            new BigDecimal("5000000"),  // 이벤트1: 500만원
+            new BigDecimal("3500000"),  // 이벤트2: 350만원
+            new BigDecimal("2000000")   // 이벤트3: 200만원
+        };
+
+        // 채널 배포는 총 투자의 50%만 사용 (나머지는 경품/콘텐츠/운영비용)
+        double channelBudgetRatio = 0.50;
+
+        // 채널별 비용 비율 (채널 예산 내에서: 우리동네TV 30%, 지니TV 30%, 링고비즈 25%, SNS 15%)
+        double[] costRatios = {0.30, 0.30, 0.25, 0.15};
+
         for (int i = 0; i < eventIds.length; i++) {
             String eventId = eventIds[i];
+            BigDecimal totalInvestment = totalInvestments[i];
+
+            // 채널 배포 예산: 총 투자의 50%
+            BigDecimal channelBudget = totalInvestment.multiply(BigDecimal.valueOf(channelBudgetRatio));
 
             // 4개 채널을 배열로 구성
             List<DistributionCompletedEvent.ChannelDistribution> channels = new ArrayList<>();
 
-            // 1. 우리동네TV (TV)
+            // 1. 우리동네TV (TV) - 채널 예산의 30%
             channels.add(DistributionCompletedEvent.ChannelDistribution.builder()
                 .channel("우리동네TV")
                 .channelType("TV")
                 .status("SUCCESS")
                 .expectedViews(expectedViews[i][0])
+                .distributionCost(channelBudget.multiply(BigDecimal.valueOf(costRatios[0])))
                 .build());
 
-            // 2. 지니TV (TV)
+            // 2. 지니TV (TV) - 채널 예산의 30%
             channels.add(DistributionCompletedEvent.ChannelDistribution.builder()
                 .channel("지니TV")
                 .channelType("TV")
                 .status("SUCCESS")
                 .expectedViews(expectedViews[i][1])
+                .distributionCost(channelBudget.multiply(BigDecimal.valueOf(costRatios[1])))
                 .build());
 
-            // 3. 링고비즈 (CALL)
+            // 3. 링고비즈 (CALL) - 채널 예산의 25%
             channels.add(DistributionCompletedEvent.ChannelDistribution.builder()
                 .channel("링고비즈")
                 .channelType("CALL")
                 .status("SUCCESS")
                 .expectedViews(expectedViews[i][2])
+                .distributionCost(channelBudget.multiply(BigDecimal.valueOf(costRatios[2])))
                 .build());
 
-            // 4. SNS (SNS)
+            // 4. SNS (SNS) - 채널 예산의 15%
             channels.add(DistributionCompletedEvent.ChannelDistribution.builder()
                 .channel("SNS")
                 .channelType("SNS")
                 .status("SUCCESS")
                 .expectedViews(expectedViews[i][3])
+                .distributionCost(channelBudget.multiply(BigDecimal.valueOf(costRatios[3])))
                 .build());
 
             // 이벤트 발행 (채널 배열 포함)
@@ -261,22 +345,53 @@ public class SampleDataLoader implements ApplicationRunner {
 
     /**
      * ParticipantRegistered 이벤트 발행
+     *
+     * 현실적인 참여 패턴 반영:
+     * - 총 120명의 고유 참여자 풀 생성
+     * - 일부 참여자는 여러 이벤트에 중복 참여
+     * - 이벤트1: 100명 (user001~user100)
+     * - 이벤트2: 50명 (user051~user100) → 50명이 이벤트1과 중복
+     * - 이벤트3: 30명 (user071~user100) → 30명이 이전 이벤트들과 중복
      */
     private void publishParticipantRegisteredEvents() throws Exception {
         String[] eventIds = {"evt_2025012301", "evt_2025020101", "evt_2025011501"};
-        int[] totalParticipants = {100, 50, 30};  // MVP 테스트용 샘플 데이터 (총 180명)
         String[] channels = {"우리동네TV", "지니TV", "링고비즈", "SNS"};
 
+        // 이벤트별 참여자 범위 (중복 참여 반영)
+        int[][] participantRanges = {
+            {1, 100},    // 이벤트1: user001~user100 (100명)
+            {51, 100},   // 이벤트2: user051~user100 (50명, 이벤트1과 50명 중복)
+            {71, 100}    // 이벤트3: user071~user100 (30명, 모두 중복)
+        };
+
         int totalPublished = 0;
 
         for (int i = 0; i < eventIds.length; i++) {
             String eventId = eventIds[i];
-            int participants = totalParticipants[i];
+            int startUser = participantRanges[i][0];
+            int endUser = participantRanges[i][1];
+            int eventParticipants = endUser - startUser + 1;
 
-            // 각 이벤트에 대해 참여자 수만큼 ParticipantRegistered 이벤트 발행
+            log.info("이벤트 {} 참여자 발행 시작: user{:03d}~user{:03d} ({}명)",
-            for (int j = 0; j < participants; j++) {
+                eventId, startUser, endUser, eventParticipants);
-                String participantId = UUID.randomUUID().toString();
+
-                String channel = channels[j % channels.length];  // 채널 순환 배정
+            // 각 참여자에 대해 ParticipantRegistered 이벤트 발행
+            for (int userId = startUser; userId <= endUser; userId++) {
+                String participantId = String.format("user%03d", userId);  // user001, user002, ...
+
+                // 채널별 가중치 기반 랜덤 배정
+                // SNS: 45%, 우리동네TV: 25%, 지니TV: 20%, 링고비즈: 10%
+                int randomValue = random.nextInt(100);
+                String channel;
+                if (randomValue < 45) {
+                    channel = "SNS";  // 0~44: 45%
+                } else if (randomValue < 70) {
+                    channel = "우리동네TV";  // 45~69: 25%
+                } else if (randomValue < 90) {
+                    channel = "지니TV";  // 70~89: 20%
+                } else {
+                    channel = "링고비즈";  // 90~99: 10%
+                }
 
                 ParticipantRegisteredEvent event = ParticipantRegisteredEvent.builder()
                     .eventId(eventId)
@@ -288,19 +403,38 @@ public class SampleDataLoader implements ApplicationRunner {
                 totalPublished++;
 
                 // 동시성 충돌 방지: 10개마다 100ms 대기
-                if ((j + 1) % 10 == 0) {
+                if (totalPublished % 10 == 0) {
                     Thread.sleep(100);
                 }
             }
+
+            log.info("✅ 이벤트 {} 참여자 발행 완료: {}명", eventId, eventParticipants);
         }
 
+        log.info("========================================");
         log.info("✅ ParticipantRegistered 이벤트 {}건 발행 완료", totalPublished);
+        log.info("📊 참여 패턴:");
+        log.info("  - 총 고유 참여자: 100명 (user001~user100)");
+        log.info("  - 이벤트1 참여: 100명");
+        log.info("  - 이벤트2 참여: 50명 (이벤트1과 50명 중복)");
+        log.info("  - 이벤트3 참여: 30명 (이벤트1,2와 모두 중복)");
+        log.info("  - 3개 이벤트 모두 참여: 30명");
+        log.info("  - 2개 이벤트 참여: 20명");
+        log.info("  - 1개 이벤트만 참여: 50명");
+        log.info("📺 채널별 참여 비율 (가중치):");
+        log.info("  - SNS: 45% (가장 높음)");
+        log.info("  - 우리동네TV: 25%");
+        log.info("  - 지니TV: 20%");
+        log.info("  - 링고비즈: 10%");
+        log.info("========================================");
     }
 
     /**
      * TimelineData 생성 (시간대별 샘플 데이터)
      *
-     * - 각 이벤트마다 30일 치 daily 데이터 생성
+     * - 각 이벤트마다 30일 × 24시간 = 720시간 치 hourly 데이터 생성
+     * - interval=hourly: 시간별 표시 (최근 7일 적합)
+     * - interval=daily: 일별 자동 집계 (30일 전체)
      * - 참여자 수, 조회수, 참여행동, 전환수, 누적 참여자 수
      */
     private void createTimelineData() {
@@ -308,52 +442,63 @@ public class SampleDataLoader implements ApplicationRunner {
 
         String[] eventIds = {"evt_2025012301", "evt_2025020101", "evt_2025011501"};
 
-        // 각 이벤트별 기준 참여자 수 (이벤트 성과에 따라 다름)
+        // 각 이벤트별 시간당 기준 참여자 수 (이벤트 성과에 따라 다름)
-        int[] baseParticipants = {20, 12, 5};  // 이벤트1(높음), 이벤트2(중간), 이벤트3(낮음)
+        int[] baseParticipantsPerHour = {4, 2, 1};  // 이벤트1(높음), 이벤트2(중간), 이벤트3(낮음)
 
         for (int eventIndex = 0; eventIndex < eventIds.length; eventIndex++) {
             String eventId = eventIds[eventIndex];
-            int baseParticipant = baseParticipants[eventIndex];
+            int baseParticipant = baseParticipantsPerHour[eventIndex];
             int cumulativeParticipants = 0;
 
-            // 30일 치 데이터 생성 (2024-09-24부터)
+            // 이벤트 ID에서 날짜 파싱 (evt_2025012301 → 2025-01-23)
-            java.time.LocalDateTime startDate = java.time.LocalDateTime.of(2024, 9, 24, 0, 0);
+            String dateStr = eventId.substring(4);  // "2025012301"
+            int year = Integer.parseInt(dateStr.substring(0, 4));   // 2025
+            int month = Integer.parseInt(dateStr.substring(4, 6));  // 01
+            int day = Integer.parseInt(dateStr.substring(6, 8));    // 23
 
-            for (int day = 0; day < 30; day++) {
+            // 이벤트 시작일부터 30일 치 hourly 데이터 생성
-                java.time.LocalDateTime timestamp = startDate.plusDays(day);
+            java.time.LocalDateTime startDate = java.time.LocalDateTime.of(year, month, day, 0, 0);
 
-                // 랜덤한 참여자 수 생성 (기준값 ± 50%)
+            for (int dayOffset = 0; dayOffset < 30; dayOffset++) {
-                int dailyParticipants = baseParticipant + random.nextInt(baseParticipant + 1);
+                for (int hour = 0; hour < 24; hour++) {
-                cumulativeParticipants += dailyParticipants;
+                    java.time.LocalDateTime timestamp = startDate.plusDays(dayOffset).plusHours(hour);
 
-                // 조회수는 참여자의 3~5배
+                    // 시간대별 참여자 수 변화 (낮 시간대 12~20시에 더 많음)
-                int dailyViews = dailyParticipants * (3 + random.nextInt(3));
+                    int hourMultiplier = (hour >= 12 && hour <= 20) ? 2 : 1;
+                    int hourlyParticipants = (baseParticipant * hourMultiplier) + random.nextInt(baseParticipant + 1);
 
-                // 참여행동은 참여자의 1~2배
+                    cumulativeParticipants += hourlyParticipants;
-                int dailyEngagement = dailyParticipants * (1 + random.nextInt(2));
 
-                // 전환수는 참여자의 50~80%
+                    // 조회수는 참여자의 3~5배
-                int dailyConversions = (int) (dailyParticipants * (0.5 + random.nextDouble() * 0.3));
+                    int hourlyViews = hourlyParticipants * (3 + random.nextInt(3));
 
-                // TimelineData 생성
+                    // 참여행동은 참여자의 1~2배
-                com.kt.event.analytics.entity.TimelineData timelineData =
+                    int hourlyEngagement = hourlyParticipants * (1 + random.nextInt(2));
-                    com.kt.event.analytics.entity.TimelineData.builder()
-                        .eventId(eventId)
-                        .timestamp(timestamp)
-                        .participants(dailyParticipants)
-                        .views(dailyViews)
-                        .engagement(dailyEngagement)
-                        .conversions(dailyConversions)
-                        .cumulativeParticipants(cumulativeParticipants)
-                        .build();
 
-                timelineDataRepository.save(timelineData);
+                    // 전환수는 참여자의 50~80%
+                    int hourlyConversions = (int) (hourlyParticipants * (0.5 + random.nextDouble() * 0.3));
+
+                    // TimelineData 생성
+                    com.kt.event.analytics.entity.TimelineData timelineData =
+                        com.kt.event.analytics.entity.TimelineData.builder()
+                            .eventId(eventId)
+                            .timestamp(timestamp)
+                            .participants(hourlyParticipants)
+                            .views(hourlyViews)
+                            .engagement(hourlyEngagement)
+                            .conversions(hourlyConversions)
+                            .cumulativeParticipants(cumulativeParticipants)
+                            .build();
+
+                    timelineDataRepository.save(timelineData);
+                }
             }
 
-            log.info("✅ TimelineData 생성 완료: eventId={}, 30일 데이터", eventId);
+            log.info("✅ TimelineData 생성 완료: eventId={}, 시작일={}-{:02d}-{:02d}, 30일 × 24시간 = 720건",
+                eventId, year, month, day);
         }
 
-        log.info("✅ 전체 TimelineData 생성 완료: 3개 이벤트 × 30일 = 90건");
+        log.info("✅ 전체 TimelineData 생성 완료: 3개 이벤트 × 30일 × 24시간 = 2,160건");
     }
 
     /**

analytics-service/src/main/java/com/kt/event/analytics/controller/AnalyticsDashboardController.java

@@ -31,31 +31,19 @@ public class AnalyticsDashboardController {
     /**
      * 성과 대시보드 조회
      *
-     * @param eventId   이벤트 ID
+     * @param eventId 이벤트 ID
-     * @param startDate 조회 시작 날짜
+     * @param refresh 캐시 갱신 여부
-     * @param endDate   조회 종료 날짜
+     * @return 성과 대시보드 (이벤트 시작일 ~ 현재까지)
-     * @param refresh   캐시 갱신 여부
-     * @return 성과 대시보드
      */
     @Operation(
         summary = "성과 대시보드 조회",
-        description = "이벤트의 전체 성과를 통합하여 조회합니다."
+        description = "이벤트의 전체 성과를 통합하여 조회합니다. (이벤트 시작일 ~ 현재까지)"
     )
     @GetMapping("/{eventId}/analytics")
     public ResponseEntity<ApiResponse<AnalyticsDashboardResponse>> getEventAnalytics(
         @Parameter(description = "이벤트 ID", required = true)
         @PathVariable String eventId,
 
-        @Parameter(description = "조회 시작 날짜 (ISO 8601 format)")
-        @RequestParam(required = false)
-        @DateTimeFormat(iso = DateTimeFormat.ISO.DATE_TIME)
-        LocalDateTime startDate,
-
-        @Parameter(description = "조회 종료 날짜 (ISO 8601 format)")
-        @RequestParam(required = false)
-        @DateTimeFormat(iso = DateTimeFormat.ISO.DATE_TIME)
-        LocalDateTime endDate,
-
         @Parameter(description = "캐시 갱신 여부 (true인 경우 외부 API 호출)")
         @RequestParam(required = false, defaultValue = "false")
         Boolean refresh
@@ -63,7 +51,7 @@ public class AnalyticsDashboardController {
         log.info("성과 대시보드 조회 API 호출: eventId={}, refresh={}", eventId, refresh);
 
         AnalyticsDashboardResponse response = analyticsService.getDashboardData(
-            eventId, startDate, endDate, refresh
+            eventId, refresh
         );
 
         return ResponseEntity.ok(ApiResponse.success(response));

analytics-service/src/main/java/com/kt/event/analytics/controller/DebugController.java

@@ -0,0 +1,75 @@
+package com.kt.event.analytics.controller;
+
+import com.kt.event.analytics.config.SampleDataLoader;
+import com.kt.event.common.dto.ApiResponse;
+import io.swagger.v3.oas.annotations.Operation;
+import io.swagger.v3.oas.annotations.tags.Tag;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import org.springframework.boot.ApplicationArguments;
+import org.springframework.http.ResponseEntity;
+import org.springframework.web.bind.annotation.PostMapping;
+import org.springframework.web.bind.annotation.RequestMapping;
+import org.springframework.web.bind.annotation.RestController;
+
+/**
+ * 디버그 컨트롤러
+ *
+ * ⚠️ 개발/테스트 전용
+ */
+@Tag(name = "Debug", description = "디버그 API (개발/테스트 전용)")
+@Slf4j
+@RestController
+@RequestMapping("/api/debug")
+@RequiredArgsConstructor
+public class DebugController {
+
+    private final SampleDataLoader sampleDataLoader;
+
+    /**
+     * 샘플 데이터 수동 생성
+     */
+    @Operation(
+        summary = "샘플 데이터 수동 생성",
+        description = "SampleDataLoader를 수동으로 실행하여 샘플 데이터를 생성합니다."
+    )
+    @PostMapping("/reload-sample-data")
+    public ResponseEntity<ApiResponse<String>> reloadSampleData() {
+        try {
+            log.info("🔧 수동으로 샘플 데이터 생성 요청");
+
+            // SampleDataLoader 실행
+            sampleDataLoader.run(new ApplicationArguments() {
+                @Override
+                public String[] getSourceArgs() {
+                    return new String[0];
+                }
+
+                @Override
+                public java.util.Set<String> getOptionNames() {
+                    return java.util.Collections.emptySet();
+                }
+
+                @Override
+                public boolean containsOption(String name) {
+                    return false;
+                }
+
+                @Override
+                public java.util.List<String> getOptionValues(String name) {
+                    return null;
+                }
+
+                @Override
+                public java.util.List<String> getNonOptionArgs() {
+                    return java.util.Collections.emptyList();
+                }
+            });
+
+            return ResponseEntity.ok(ApiResponse.success("샘플 데이터 생성 완료"));
+        } catch (Exception e) {
+            log.error("❌ 샘플 데이터 생성 실패", e);
+            return ResponseEntity.ok(ApiResponse.success("샘플 데이터 생성 실패: " + e.getMessage()));
+        }
+    }
+}

analytics-service/src/main/java/com/kt/event/analytics/controller/TimelineAnalyticsController.java

@@ -33,16 +33,14 @@ public class TimelineAnalyticsController {
     /**
      * 시간대별 참여 추이
      *
-     * @param eventId   이벤트 ID
+     * @param eventId  이벤트 ID
-     * @param interval  시간 간격 단위
+     * @param interval 시간 간격 단위
-     * @param startDate 조회 시작 날짜
+     * @param metrics  조회할 지표 목록
-     * @param endDate   조회 종료 날짜
+     * @return 시간대별 참여 추이 (이벤트 시작일 ~ 현재까지)
-     * @param metrics   조회할 지표 목록
-     * @return 시간대별 참여 추이
      */
     @Operation(
         summary = "시간대별 참여 추이",
-        description = "이벤트 기간 동안의 시간대별 참여 추이를 분석합니다."
+        description = "이벤트 기간 동안의 시간대별 참여 추이를 분석합니다. (이벤트 시작일 ~ 현재까지)"
     )
     @GetMapping("/{eventId}/analytics/timeline")
     public ResponseEntity<ApiResponse<TimelineAnalyticsResponse>> getTimelineAnalytics(
@@ -53,16 +51,6 @@ public class TimelineAnalyticsController {
         @RequestParam(required = false, defaultValue = "daily")
         String interval,
 
-        @Parameter(description = "조회 시작 날짜 (ISO 8601 format)")
-        @RequestParam(required = false)
-        @DateTimeFormat(iso = DateTimeFormat.ISO.DATE_TIME)
-        LocalDateTime startDate,
-
-        @Parameter(description = "조회 종료 날짜 (ISO 8601 format)")
-        @RequestParam(required = false)
-        @DateTimeFormat(iso = DateTimeFormat.ISO.DATE_TIME)
-        LocalDateTime endDate,
-
         @Parameter(description = "조회할 지표 목록 (쉼표로 구분)")
         @RequestParam(required = false)
         String metrics
@@ -74,7 +62,7 @@ public class TimelineAnalyticsController {
             : null;
 
         TimelineAnalyticsResponse response = timelineAnalyticsService.getTimelineAnalytics(
-            eventId, interval, startDate, endDate, metricList
+            eventId, interval, metricList
         );
 
         return ResponseEntity.ok(ApiResponse.success(response));