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