Merge branch 'origin/develop' into develop

- 이벤트 ID 단순화 변경사항 병합 (1, 2, 3)
- 원격 변경사항 통합

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

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Hyowon Yang 2025-10-30 10:10:47 +09:00
commit acd827b226
478 changed files with 42172 additions and 3679 deletions

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---
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]
- ACR_NAME: acrdigitalgarage01
- RESOURCE_GROUP: rg-digitalgarage-01
- AKS_CLUSTER: aks-digitalgarage-01
- NAMESPACE: phonebill-dg0500

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---
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]
- SYSTEM_NAME: phonebill
- ACR_NAME: acrdigitalgarage01
- RESOURCE_GROUP: rg-digitalgarage-01
- AKS_CLUSTER: aks-digitalgarage-01
- NAMESPACE: phonebill-dg0500

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---
command: "/deploy-build-image-back"
description: "백엔드 컨테이너 이미지 작성"
---
@cicd
'백엔드컨테이너이미지작성가이드'에 따라 컨테이너 이미지를 작성해 주세요.

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---
command: "/deploy-build-image-front"
description: "프론트엔드 컨테이너 이미지 작성"
---
@cicd
'프론트엔드컨테이너이미지작성가이드'에 따라 컨테이너 이미지를 작성해 주세요.

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---
command: "/deploy-help"
description: "배포 작업 순서 및 명령어 안내"
---
# 배포 작업 순서
## 컨테이너 이미지 작성
### 백엔드
/deploy-build-image-back
- 백엔드 서비스들의 컨테이너 이미지를 작성합니다
### 프론트엔드
/deploy-build-image-front
- 프론트엔드 서비스의 컨테이너 이미지를 작성합니다
## 컨테이너 실행 가이드 작성
### 백엔드
/deploy-run-container-guide-back
- 백엔드 컨테이너 실행 가이드를 작성합니다
- [실행정보] 섹션에 ACR명, VM 접속 정보 제공 필요
### 프론트엔드
/deploy-run-container-guide-front
- 프론트엔드 컨테이너 실행 가이드를 작성합니다
- [실행정보] 섹션에 시스템명, ACR명, VM 접속 정보 제공 필요
## Kubernetes 배포 가이드 작성
### 백엔드
/deploy-k8s-guide-back
- 백엔드 서비스 Kubernetes 배포 가이드를 작성합니다
- [실행정보] 섹션에 ACR명, k8s명, 네임스페이스, 리소스 정보 제공 필요
### 프론트엔드
/deploy-k8s-guide-front
- 프론트엔드 서비스 Kubernetes 배포 가이드를 작성합니다
- [실행정보] 섹션에 시스템명, ACR명, k8s명, 네임스페이스, Gateway Host 정보 제공 필요
## CI/CD 파이프라인 작성
### Jenkins CI/CD
#### 백엔드
/deploy-jenkins-cicd-guide-back
- Jenkins를 이용한 백엔드 CI/CD 파이프라인 가이드를 작성합니다
- [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
- [실행정보] 섹션에 SYSTEM_NAME, ACR_NAME, RESOURCE_GROUP, AKS_CLUSTER, NAMESPACE 제공 필요
### GitHub Actions CI/CD
#### 백엔드
/deploy-actions-cicd-guide-back
- GitHub Actions를 이용한 백엔드 CI/CD 파이프라인 가이드를 작성합니다
- [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
- [실행정보] 섹션에 SYSTEM_NAME, ACR_NAME, RESOURCE_GROUP, AKS_CLUSTER, NAMESPACE 제공 필요
---
**참고**: 각 명령어 실행 시 [실행정보] 섹션에 필요한 정보를 함께 제공해야 합니다.

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---
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]
- ACR_NAME: acrdigitalgarage01
- RESOURCE_GROUP: rg-digitalgarage-01
- AKS_CLUSTER: aks-digitalgarage-01
- NAMESPACE: phonebill-dg0500

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---
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]
- SYSTEM_NAME: phonebill
- ACR_NAME: acrdigitalgarage01
- RESOURCE_GROUP: rg-digitalgarage-01
- AKS_CLUSTER: aks-digitalgarage-01
- NAMESPACE: phonebill-dg0500

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---
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]
- ACR명: acrdigitalgarage01
- k8s명: aks-digitalgarage-01
- 네임스페이스: tripgen
- 파드수: 2
- 리소스(CPU): 256m/1024m
- 리소스(메모리): 256Mi/1024Mi

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---
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]
- 시스템명: tripgen
- ACR명: acrdigitalgarage01
- k8s명: aks-digitalgarage-01
- 네임스페이스: tripgen
- 파드수: 2
- 리소스(CPU): 256m/1024m
- 리소스(메모리): 256Mi/1024Mi
- Gateway Host: http://tripgen-api.20.214.196.128.nip.io

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---
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]
- ACR명: acrdigitalgarage01
- VM
- KEY파일: ~/home/bastion-dg0500
- USERID: azureuser
- IP: 4.230.5.6

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---
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]
- 시스템명: tripgen
- ACR명: acrdigitalgarage01
- VM
- KEY파일: ~/home/bastion-dg0500
- USERID: azureuser
- IP: 4.230.5.6

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---
command: "/design-api"
---
@architecture
API를 설계해 주세요:
- '공통설계원칙'과 'API설계가이드'를 준용하여 설계
- '공통설계원칙'과 'API설계가이드'를 준용하여 설계

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---
command: "/design-class"
---
@architecture
'공통설계원칙'과 '클래스설계가이드'를 준용하여 클래스를 설계해 주세요.
프롬프트에 '[클래스설계 정보]'항목이 없으면 수행을 중단하고 안내 메시지를 표시합니다.
@ -9,4 +12,4 @@
- User: Layered
- Trip: Clean
- Location: Layered
- AI: Layered
- AI: Layered

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---
command: "/design-data"
---
@architecture
데이터 설계를 해주세요:
- '공통설계원칙'과 '데이터설계가이드'를 준용하여 설계
- '공통설계원칙'과 '데이터설계가이드'를 준용하여 설계

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---
command: "/design-fix-prototype"
---
@fix as @front
'[오류내용]'섹션에 제공된 오류를 해결해 주세요.
프롬프트에 '[오류내용]'섹션이 없으면 수행 중단하고 안내 메시지 표시
{안내메시지}
'[오류내용]'섹션 하위에 오류 내용을 제공
'[오류내용]'섹션 하위에 오류 내용을 제공

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---
command: "/design-front"
---
@plan as @front
'프론트엔드설계가이드'를 준용하여 **프론트엔드설계서**를 작성해 주세요.
프롬프트에 '[백엔드시스템]'항목이 없으면 수행을 중단하고 안내 메시지를 표시합니다.
@ -13,4 +16,4 @@
- ai service: http://localhost:8084/v3/api-docs
[요구사항]
- 각 화면에 Back 아이콘 버튼과 화면 타이틀 표시
- 하단 네비게이션 바 아이콘화: 홈, 새여행, 주변장소검색, 여행보기
- 하단 네비게이션 바 아이콘화: 홈, 새여행, 주변장소검색, 여행보기

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---
command: "/design-high-level"
---
@architecture
'HighLevel아키텍처정의가이드'를 준용하여 High Level 아키텍처 정의서를 작성해 주세요.
'CLOUD' 정보가 없으면 수행을 중단하고 안내메시지를 표시하세요.
{안내메시지}
아래 예와 같이 CLOUD 제공자를 Azure, AWS, Google과 같이 제공하세요.
- CLOUD: Azure
- CLOUD: Azure

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---
command: "/design-improve-prototype"
---
@improve as @front
'[개선내용]'섹션에 있는 내용을 개선해 주세요.
프롬프트에 '[개선내용]'항목이 없으면 수행을 중단하고 안내 메시지 표시
{안내메시지}
'[개선내용]'섹션 하위에 개선할 내용을 제공
'[개선내용]'섹션 하위에 개선할 내용을 제공

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---
command: "/design-improve-userstory"
---
@analyze as @front 프로토타입을 웹브라우저에서 분석한 후,
@document as @scribe 수정된 프로토타입에 따라 유저스토리를 업데이트 해주십시오.
@document as @scribe 수정된 프로토타입에 따라 유저스토리를 업데이트 해주십시오.

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---
command: "/design-logical"
---
@architecture
논리 아키텍처를 설계해 주세요:
- '공통설계원칙'과 '논리아키텍처 설계 가이드'를 준용하여 설계
- '공통설계원칙'과 '논리아키텍처 설계 가이드'를 준용하여 설계

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---
command: "/design-pattern"
---
@design-pattern
클라우드 아키텍처 패턴 적용 방안을 작성해 주세요:
- '클라우드아키텍처패턴선정가이드'를 준용하여 작성
- '클라우드아키텍처패턴선정가이드'를 준용하여 작성

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---
command: "/design-physical"
---
@architecture
'물리아키텍처설계가이드'를 준용하여 물리아키텍처를 설계해 주세요.
'CLOUD' 정보가 없으면 수행을 중단하고 안내메시지를 표시하세요.
{안내메시지}
아래 예와 같이 CLOUD 제공자를 Azure, AWS, Google과 같이 제공하세요.
- CLOUD: Azure
- CLOUD: Azure

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---
command: "/design-prototype"
---
@prototype
프로토타입을 작성해 주세요:
- '프로토타입작성가이드'를 준용하여 작성
- '프로토타입작성가이드'를 준용하여 작성

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---
command: "/design-seq-inner"
---
@architecture
내부 시퀀스 설계를 해 주세요:
- '공통설계원칙'과 '내부시퀀스설계 가이드'를 준용하여 설계
- '공통설계원칙'과 '내부시퀀스설계 가이드'를 준용하여 설계

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---
command: "/design-seq-outer"
---
@architecture
외부 시퀀스 설계를 해 주세요:
- '공통설계원칙'과 '외부시퀀스설계가이드'를 준용하여 설계
- '공통설계원칙'과 '외부시퀀스설계가이드'를 준용하여 설계

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---
command: "/design-test-prototype"
---
@test-front
프로토타입을 테스트 해 주세요.
프로토타입을 테스트 해 주세요.

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@ -1,3 +1,6 @@
---
command: "/design-uiux"
---
@uiux
UI/UX 설계를 해주세요:
- 'UI/UX설계가이드'를 준용하여 작성
- 'UI/UX설계가이드'를 준용하여 작성

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@ -1,2 +1,5 @@
---
command: "/design-update-uiux"
---
@document @front
현재 프로토타입과 유저스토리를 기준으로 UI/UX설계서와 스타일가이드를 수정해 주세요.
현재 프로토타입과 유저스토리를 기준으로 UI/UX설계서와 스타일가이드를 수정해 주세요.

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@ -1,3 +1,6 @@
---
command: "/think-help"
---
기획 작업 순서
1단계: 서비스 기획

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@ -1,3 +1,6 @@
---
command: "/think-planning"
---
아래 내용을 터미널에 표시만 하고 수행을 하지는 않습니다.
```
아래 가이드를 참고하여 서비스 기획을 수행합니다.

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@ -1,3 +1,7 @@
---
command: "/think-userstory"
---
```
@document
유저스토리를 작성하세요.
프롬프트에 '[요구사항]'섹션이 없으면 수행을 중단하고 안내 메시지를 표시합니다.
@ -16,3 +20,5 @@ Case 2) 다른 방법으로 이벤트스토밍을 한 경우는 요구사항을
2. 유저스토리 작성
- '유저스토리작성방법'과 '유저스토리예제'를 참고하여 유저스토리를 작성
- 결과파일은 'design/userstory.md'에 생성
```

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# 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/)

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# 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

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# 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

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# 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

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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"

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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

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apiVersion: v1
kind: Secret
metadata:
name: secret-ai-service
type: Opaque
stringData:
# Claude API Key
AI_CLAUDE_API_KEY: "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"

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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

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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"

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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

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apiVersion: v1
kind: Secret
metadata:
name: secret-analytics-service
type: Opaque
stringData:
DB_PASSWORD: "Hi5Jessica!"

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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

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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"

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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"

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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

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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: "r8_BsGCJtAg5U5kkMBXSe3pgMkPufSKnUR4NY9gJ"
# HuggingFace API Token
HUGGINGFACE_API_TOKEN: ""

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@ -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

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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"

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@ -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

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apiVersion: v1
kind: Secret
metadata:
name: secret-distribution-service
type: Opaque
stringData:
DB_PASSWORD: "Hi5Jessica!"

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@ -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

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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"

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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

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apiVersion: v1
kind: Secret
metadata:
name: secret-event-service
type: Opaque
stringData:
# Database Password
DB_PASSWORD: "Hi5Jessica!"

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@ -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

116
.github/kustomize/base/ingress.yaml vendored Normal file
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@ -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

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@ -0,0 +1,71 @@
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
# 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

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@ -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"

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@ -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

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

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@ -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

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@ -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="

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@ -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="
}
}
}

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@ -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"

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@ -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

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

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@ -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

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@ -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"

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@ -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"

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@ -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"

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@ -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"

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@ -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"

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@ -0,0 +1,34 @@
apiVersion: kustomize.config.k8s.io/v1beta1
kind: Kustomization
namespace: kt-event-marketing
bases:
- ../../base
# 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

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@ -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"

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@ -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"

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@ -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"

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@ -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"

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@ -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"

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@ -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"

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@ -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"

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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

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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"

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@ -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"

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@ -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"

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@ -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"

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@ -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"

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@ -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"

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@ -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"

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@ -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

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@ -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"

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@ -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"

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@ -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()

181
.github/scripts/deploy.sh vendored Normal file
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#!/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[*]}"

51
.github/scripts/generate-patches.sh vendored Normal file
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@ -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"

2
.gitignore vendored
View File

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

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<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="20.249.182.13:9095,4.217.131.59:9095" />
<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>

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@ -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>

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@ -0,0 +1,31 @@
<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" />
<env name="REPLICATE_API_TOKEN" value="r8_cqE8IzQr9DZ8Dr72ozbomiXe6IFPL0005Vuq9" />
<env name="REPLICATE_MOCK_ENABLED" value="true" />
</envs>
<method v="2">
<option name="Make" enabled="true" />
</method>
</configuration>
</component>

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