Initial project foundation: Microservices architecture planning
- Created CLAUDE.md with architecture guidelines and context recovery guide - Created docs/PLAN.md with progressive implementation strategy - Created docs/PROGRESS.md for checkpoint tracking - Added .gitignore for Python, Node, Docker environments - Established API Gateway pattern with Console as orchestrator 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
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# Microservices Architecture Implementation Plan
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## Project Overview
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Build a microservices-based platform with a central Console service acting as an orchestrator and API Gateway, managing multiple domain-specific services.
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## Architecture Decision
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**Selected Pattern**: API Gateway Pattern with Console as the central orchestrator
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- Console handles authentication, routing, and monitoring
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- Each microservice focuses on domain-specific logic
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- Services communicate via REST APIs and Redis pub/sub
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## Progressive Implementation Strategy
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### Step-by-Step Approach
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큰 그림을 먼저 구성하고, 핵심 기능부터 점진적으로 확장하는 전략
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## Implementation Phases
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### Step 1: Minimal Foundation (Day 1-2)
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**목표**: 가장 기본적인 구조 확립
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```
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site11/
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├── docker-compose.yml # 최소 구성 (Console만)
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├── console/
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│ └── backend/
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│ └── main.py # Hello World API
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└── README.md
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```
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**Tasks**:
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- [ ] 간단한 docker-compose.yml 생성
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- [ ] Console FastAPI "Hello World"
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- [ ] 기본 health check endpoint
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- [ ] Docker로 실행 확인
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### Step 2: Add First Service (Day 3-4)
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**목표**: Console과 하나의 서비스 연결
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```
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site11/
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├── docker-compose.yml
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├── console/
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│ └── backend/
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│ └── main.py # Gateway 역할 추가
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└── services/
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└── users/
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└── backend/
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└── main.py # Users 서비스
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```
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**Tasks**:
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- [ ] Users 서비스 생성
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- [ ] Console에서 Users로 라우팅
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- [ ] 서비스 간 통신 테스트
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- [ ] 간단한 CRUD API
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### Step 3: Database Integration (Day 5-6)
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**목표**: MongoDB 연결 및 기본 데이터 저장
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**Tasks**:
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- [ ] MongoDB 컨테이너 추가
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- [ ] Console과 Users 서비스 DB 연결
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- [ ] 기본 데이터 모델 생성
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- [ ] 실제 데이터 CRUD 테스트
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### Step 4: Frontend Skeleton (Week 2)
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**목표**: 최소한의 UI 구성
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**Tasks**:
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- [ ] Console Frontend 생성 (React + Vite)
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- [ ] 기본 레이아웃
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- [ ] 서비스 상태 표시
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- [ ] Nginx 설정
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### Step 5: Authentication Basic (Week 2)
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**목표**: 간단한 인증 시스템
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**Tasks**:
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- [ ] JWT 토큰 생성
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- [ ] Login endpoint
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- [ ] Token 검증 미들웨어
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- [ ] Protected routes
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### Step 6: Second Service (Week 3)
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**목표**: 두 번째 서비스 추가로 패턴 확립
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**Tasks**:
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- [ ] OAuth 또는 Images 서비스 추가
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- [ ] Console 라우팅 확장
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- [ ] 서비스 간 통신 패턴 확립
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- [ ] Service registry 기초
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### Step 7: Service Communication (Week 3)
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**목표**: 서비스 간 통신 패턴 구현
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**Tasks**:
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- [ ] Redis pub/sub 설정
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- [ ] Event 기반 통신 예제
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- [ ] Service discovery 구현
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- [ ] Health check 자동화
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### Step 8: Gradual Service Addition (Week 4-5)
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**목표**: 나머지 서비스 점진적 추가
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**각 서비스별로**:
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- [ ] 기본 구조 생성
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- [ ] Console 연결
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- [ ] 핵심 API 구현
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- [ ] Frontend 컴포넌트 추가
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## 현재 시작점 (NOW)
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### 즉시 시작할 수 있는 첫 걸음
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#### 1. 최소 Docker 환경 구성
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```bash
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# 실행 명령
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docker-compose up -d console
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curl http://localhost:8000/health
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```
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#### 2. Console 서비스만으로 시작
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- Health endpoint
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- 간단한 API Gateway 구조
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- 서비스 등록 준비
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#### 3. 하나씩 추가하며 테스트
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- Users 서비스 하나만 추가
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- 통신 확인
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- 패턴 확립 후 확장
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### 핵심 원칙
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1. **작동하는 코드 우선** - 완벽한 설계보다 동작하는 MVP
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2. **점진적 복잡도** - 간단한 것부터 시작해서 기능 추가
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3. **빠른 피드백** - 각 단계마다 실행하고 확인
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4. **패턴 확립** - 첫 서비스로 패턴을 만들고 복제
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---
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## 상세 구현 계획 (참고용)
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### Phase 1: Foundation Setup (Week 1)
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#### Goals
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- Set up project structure
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- Configure Docker environment
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- Establish basic infrastructure
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#### Tasks
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- [ ] Initialize Git repository
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- [ ] Create Docker Compose configuration
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- [ ] Set up Nginx reverse proxy
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- [ ] Configure MongoDB and Redis containers
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- [ ] Create base directory structure for all services
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#### Deliverables
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- Working Docker environment
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- Basic networking between containers
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- Database and cache ready
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### Phase 2: Console Service - Core (Week 2)
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#### Goals
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- Implement Console as API Gateway
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- Set up authentication system
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- Create service registry
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#### Tasks
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- [ ] Console Backend
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- [ ] FastAPI application setup
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- [ ] JWT authentication implementation
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- [ ] Service registry and discovery
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- [ ] API routing mechanism
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- [ ] Health check endpoints
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- [ ] Console Frontend
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- [ ] React + Vite setup
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- [ ] Login/Register pages
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- [ ] Admin dashboard layout
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- [ ] Service status dashboard
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#### Deliverables
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- Working authentication system
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- Basic API Gateway functionality
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- Service health monitoring dashboard
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### Phase 3: OAuth Service (Week 3)
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#### Goals
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- Centralized authentication service
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- OAuth2 implementation
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- User session management
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#### Tasks
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- [ ] OAuth Backend
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- [ ] OAuth2 server implementation
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- [ ] Token generation and validation
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- [ ] User authentication endpoints
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- [ ] Integration with Console
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- [ ] OAuth Frontend
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- [ ] OAuth consent screens
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- [ ] Token management UI
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- [ ] Application registration
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#### Deliverables
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- OAuth2 server
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- Token-based authentication
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- Integration with Console
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### Phase 4: Users Service (Week 4)
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#### Goals
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- User management microservice
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- Profile management
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- User data CRUD operations
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#### Tasks
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- [ ] Users Backend
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- [ ] User model and database schema
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- [ ] CRUD APIs for user management
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- [ ] Profile management endpoints
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- [ ] Integration with OAuth service
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- [ ] Users Frontend
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- [ ] User list and search
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- [ ] Profile editing interface
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- [ ] User details view
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#### Deliverables
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- Complete user management system
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- Profile management features
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- Admin user interface
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### Phase 5: Core Microservices (Weeks 5-6)
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#### Goals
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- Implement remaining core services
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- Establish inter-service communication
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#### Services to Implement
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1. **Images Service**
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- Image upload/download
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- Image processing
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- Storage management
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2. **Applications Service**
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- Application registration
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- Configuration management
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- Version control
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3. **Data Service**
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- Data import/export
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- Data transformation
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- API for data access
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4. **Statistics Service**
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- Metrics collection
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- Analytics dashboard
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- Report generation
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#### Tasks per Service
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- [ ] Backend implementation
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- [ ] Domain models
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- [ ] Business logic
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- [ ] REST APIs
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- [ ] Event publishing
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- [ ] Frontend implementation
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- [ ] Service-specific UI
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- [ ] Integration with Console
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- [ ] Dashboard widgets
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### Phase 6: Integration & Testing (Week 7)
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#### Goals
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- End-to-end integration
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- Performance optimization
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- Security hardening
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#### Tasks
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- [ ] Integration Testing
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- [ ] Service communication tests
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- [ ] Load testing
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- [ ] Security testing
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- [ ] Optimization
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- [ ] Redis caching implementation
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- [ ] Database indexing
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- [ ] API response optimization
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- [ ] Documentation
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- [ ] API documentation (OpenAPI)
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- [ ] Deployment guide
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- [ ] Developer documentation
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#### Deliverables
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- Fully integrated system
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- Performance benchmarks
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- Complete documentation
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### Phase 7: Monitoring & DevOps (Week 8)
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#### Goals
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- Production readiness
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- Monitoring and alerting
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- CI/CD pipeline
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#### Tasks
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- [ ] Monitoring Setup
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- [ ] Prometheus metrics
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- [ ] Grafana dashboards
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- [ ] Log aggregation (ELK stack)
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- [ ] DevOps
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- [ ] GitHub Actions CI/CD
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- [ ] Automated testing
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- [ ] Docker image optimization
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- [ ] Production Configuration
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- [ ] Environment variables
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- [ ] Secrets management
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- [ ] Backup strategies
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#### Deliverables
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- Production-ready deployment
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- Monitoring dashboards
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- Automated deployment pipeline
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## Technical Implementation Details
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### Service Communication Flow
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```
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Client Request → Nginx → Console (API Gateway) → Microservice
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↓
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Authentication Check
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↓
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Request Routing
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↓
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Response Aggregation
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```
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### Database Strategy
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```
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MongoDB Instance
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├── console_db # Console service data
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├── users_db # Users service data
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├── oauth_db # OAuth tokens and sessions
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├── images_db # Image metadata
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├── applications_db # Application data
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├── data_db # Generic data storage
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└── statistics_db # Analytics data
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```
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### API Versioning Strategy
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- All APIs follow `/api/v1/` pattern
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- Version in URL path for major versions
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- Header-based versioning for minor updates
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### Security Implementation
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1. **Authentication Flow**
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- User login → OAuth service
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- OAuth service issues JWT
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- Console validates JWT on each request
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- Console forwards validated requests to services
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2. **Service-to-Service Auth**
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- Internal service tokens
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- mTLS for production
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- Network isolation via Docker networks
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### Development Workflow
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1. **Local Development**
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```bash
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docker-compose up -d [service-name]
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docker-compose logs -f [service-name]
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```
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2. **Testing**
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```bash
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docker-compose exec [service-name] pytest
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```
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3. **Deployment**
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```bash
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docker-compose build
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docker-compose up -d
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```
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## Success Criteria
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- [ ] All services independently deployable
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- [ ] Console successfully routes to all services
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- [ ] Authentication works across all services
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- [ ] Health monitoring shows all services green
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- [ ] Load testing shows <100ms p95 latency
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- [ ] Zero downtime deployments possible
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## Risk Mitigation
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1. **Service Failure**: Circuit breakers in Console
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2. **Data Consistency**: Event sourcing for critical operations
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3. **Performance**: Redis caching layer
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4. **Security**: Regular security audits, dependency updates
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## Timeline Summary
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- **Week 1**: Foundation and infrastructure
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- **Week 2**: Console core implementation
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- **Week 3**: OAuth service
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- **Week 4**: Users service
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- **Weeks 5-6**: Remaining microservices
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- **Week 7**: Integration and testing
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- **Week 8**: Monitoring and production setup
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## Next Steps
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1. Review and approve plan
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2. Set up Git repository
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3. Begin Phase 1 implementation
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4. Schedule weekly progress reviews
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