Microservices & Micro-Frontend Architecture Blueprint
Document Version: 1.0 Date: August 4, 2026 Status: Architecture Design & Migration Strategy Author: System Analysis
Table of Contents
- Executive Summary
- Current Architecture Analysis
- Target Microservices Architecture
- Component Inventory & Mapping
- Migration Strategy (5 Phases)
- Docker & Infrastructure Setup
- Deployment Topology
- Risks & Mitigation
Executive Summary
Current State: Monorepo with Shared Packages
- Structure: Turborepo-based monorepo with multiple products
- Tech Stack: Next.js, React, React Native, Prisma, MongoDB
- Package Manager: Bun v1.2.19
- Build Tool: Turborepo
- Deployment: Unified build process
Target State: Microservices + Micro-Frontend
- Architecture: Domain-driven microservices with independent deployments
- Frontend: Micro-frontend modules per domain
- Backend: Separate containerized services per business domain
- Communication: REST/gRPC APIs between services
- Orchestration: Docker Compose (dev) + Kubernetes (prod ready)
- Data: Separate databases per service (Database per Service pattern)
Key Benefits
ā Independent scaling per domain ā Technology flexibility per service ā Faster deployment cycles ā Team ownership per domain ā Better fault isolation ā Easier testing & debugging
Current Architecture Analysis
š¦ Projects Structure
apps/
āāā main/ ā Main portal (Next.js)
āāā app/ ā Public application (Next.js)
ā āāā landing ā Landing page
ā āāā store ā E-commerce frontend
ā āāā warehouse ā Inventory management
āāā app/mobile ā Mobile app (React Native/Expo)
āāā api ā Backend API (Prisma + MongoDB)
āāā docs ā Documentation (Next.js)
packages/
āāā db ā Prisma ORM & Database client
āāā auth ā Authentication utilities
āāā core ā Core business logic (validators, etc)
āāā engines ā Business engines
āāā permissions ā RBAC utilities
āāā helpers ā Helper functions
āāā hooks ā React hooks library
āāā http-client ā Axios wrapper
āāā i18n ā Internationalization
āāā components/ ā Reusable UI components (web)
āāā icons/ ā Icon library
āāā ui/ ā Design system
āāā [mobile versions]šÆ Business Domains Identified
-
Authentication & Authorization
- Account management
- Token/Session handling
- Role-based access control (RBAC)
- 2FA, password reset, email verification
-
Product Management
- CRUD operations for products
- Categories & inventory
- Product analytics
- Pricing management
-
Order Management
- Order creation & processing
- Order history & tracking
- Order status updates
-
User & Organization Management
- User profiles
- Organization/workspace management
- Team member management
- Invite system
-
Analytics & Reporting
- Dashboard analytics
- Business metrics
- History & audit logs
- REST statistics
-
Settings & Configuration
- System settings
- FAQ management
- Workspace configuration
- Subscription management
-
Media & File Management
- Image uploads
- File storage
- Asset management
š Current Data Model
Key Entities:
- User (auth, profile)
- Account (OAuth, credentials)
- VerificationToken, PasswordResetToken, TwoFactorToken
- InvitationToken
- Organization/Workspace
- Product, Category, Inventory
- Order, OrderItem
- Analytics data
- Settings
Relationships:
- User ā ā Account (1:N)
- User ā ā Organization (N:N via memberships)
- Organization ā ā Product (1:N)
- Product ā ā Order (N:N via OrderItem)
Target Microservices Architecture
šÆ Service Decomposition
Core Infrastructure Services (Foundation)
1. API Gateway Service
āāā Port: 3000
āāā Functions: Request routing, rate limiting, auth validation
āāā Tech: Node.js + Express/Fastify
āāā Uses: JWT validation, service discoveryDomain Services (Business Logic)
2. Auth Service (Port: 3001)
āāā Domain: User authentication & authorization
āāā Tables: Account, VerificationToken, PasswordResetToken, TwoFactorToken, TwoFactorConfirmation
āāā APIs:
ā POST /auth/register
ā POST /auth/login
ā POST /auth/refresh-token
ā GET /auth/verify/:token
ā POST /auth/2fa
ā DELETE /auth/logout
āāā Dependencies: None (independent)
āāā Database: MongoDB (auth_db)
3. User Service (Port: 3002)
āāā Domain: User profiles & preferences
āāā Tables: User, UserProfile, UserSettings
āāā APIs:
ā GET /users/:id
ā PUT /users/:id
ā GET /users/:id/profile
ā PUT /users/:id/profile
ā DELETE /users/:id
āāā Dependencies: Auth Service (token validation)
āāā Database: MongoDB (users_db)
4. Organization Service (Port: 3003)
āāā Domain: Workspace/org management
āāā Tables: Organization, OrganizationMember, InvitationToken
āāā APIs:
ā POST /orgs
ā GET /orgs/:id
ā PUT /orgs/:id
ā POST /orgs/:id/members
ā GET /orgs/:id/members
ā DELETE /orgs/:id/members/:memberId
ā POST /orgs/:id/invites
āāā Dependencies: Auth Service, User Service
āāā Database: MongoDB (orgs_db)
5. Product Service (Port: 3004)
āāā Domain: Product catalog & inventory
āāā Tables: Product, Category, ProductImage, Inventory, ProductVariant
āāā APIs:
ā GET /products
ā POST /products
ā GET /products/:id
ā PUT /products/:id
ā DELETE /products/:id
ā GET /products/:id/inventory
ā POST /categories
ā GET /categories
āāā Dependencies: Auth Service, Organization Service
āāā Database: MongoDB (products_db)
6. Order Service (Port: 3005)
āāā Domain: Order processing
āāā Tables: Order, OrderItem, OrderStatus, OrderHistory
āāā APIs:
ā POST /orders
ā GET /orders/:id
ā GET /orders (user orders)
ā PUT /orders/:id/status
ā GET /orders/:id/history
ā POST /orders/:id/cancel
āāā Dependencies: Auth Service, Product Service, User Service
āāā Events: order-created, order-confirmed, order-shipped, order-delivered
āāā Database: MongoDB (orders_db)
7. Analytics Service (Port: 3006)
āāā Domain: Analytics, metrics, reporting
āāā Tables: Analytics, UserActivity, DashboardMetrics, AuditLog
āāā APIs:
ā GET /analytics/dashboard
ā GET /analytics/products
ā GET /analytics/orders
ā GET /analytics/users
ā POST /analytics/events
ā GET /audit/logs
āāā Dependencies: Event stream (Kafka/Redis)
āāā Database: MongoDB (analytics_db) + Time-series database (optional: InfluxDB)
8. Settings Service (Port: 3007)
āāā Domain: Configuration & settings
āāā Tables: Setting, FAQ, Subscription, FeatureFlag
āāā APIs:
ā GET /settings/:org_id
ā PUT /settings/:org_id
ā GET /faq
ā POST /faq (admin)
ā PUT /faq/:id (admin)
ā DELETE /faq/:id (admin)
āāā Dependencies: Auth Service, Organization Service
āāā Database: MongoDB (settings_db)
9. Notification Service (Port: 3008)
āāā Domain: Email, SMS, push notifications
āāā APIs:
ā POST /notifications/email
ā POST /notifications/sms
ā POST /notifications/push
ā GET /notifications/:user_id
āāā Dependencies: Event stream
āāā External: SendGrid, Twilio, Firebase Cloud MessagingSupporting Services
10. Event Service (Message Broker)
āāā Technology: Redis (dev) / RabbitMQ or Kafka (prod)
āāā Port: 6379 (Redis) or 5672 (RabbitMQ)
āāā Purpose: Async communication, event streaming
11. Cache Service
āāā Technology: Redis
āāā Port: 6380
āāā Purpose: Session caching, rate limiting
12. Search Service (Optional)
āāā Technology: Elasticsearch/MeiliSearch
āāā Port: 9200
āāā Purpose: Full-text search for productsšØ Micro-Frontend Architecture
Frontend Module Structure
micro-frontends/
āāā shell (Port: 3100)
ā āāā Layout & routing orchestration
ā āāā Header, Navigation, Footer
ā āāā Module loader & error boundary
ā āāā Global state (theme, language)
ā
āāā auth-module (Port: 3101)
ā āāā Login, Register, 2FA
ā āāā Password reset
ā āāā OAuth integration
ā āāā Shared with: All modules (auth boundary)
ā
āāā user-module (Port: 3102)
ā āāā User profile
ā āāā Settings
ā āāā Preferences
ā āāā APIs: User Service
ā
āāā organization-module (Port: 3103)
ā āāā Organization dashboard
ā āāā Member management
ā āāā Invite management
ā āāā APIs: Organization Service
ā
āāā product-module (Port: 3104)
ā āāā Product catalog
ā āāā Search & filter
ā āāā Product detail
ā āāā Category browser
ā āāā APIs: Product Service
ā
āāā order-module (Port: 3105)
ā āāā Order creation
ā āāā Order history
ā āāā Order tracking
ā āāā Cart management
ā āāā APIs: Order Service
ā
āāā analytics-module (Port: 3106)
ā āāā Dashboard & charts
ā āāā Reports
ā āāā Metrics display
ā āāā APIs: Analytics Service
ā
āāā admin-module (Port: 3107)
āāā Admin dashboard
āāā FAQ management
āāā Settings management
āāā Subscription management
āāā APIs: Settings Service + othersš” Communication Patterns
Synchronous (REST/gRPC):
- API Gateway ā Services
- Services ā Authentication validation
- Frontend ā Service APIs
Asynchronous (Event-Driven):
- Order Service ā Analytics Service (order-created event)
- Product Service ā Analytics Service (product-viewed event)
- User Service ā Notification Service (user-registered event)
- Any Service ā Notification Service (action events)
Data Sharing:
- Service-to-Service: API calls with circuit breaker pattern
- Caching: Redis for frequently accessed data
- Search: Elasticsearch for product catalog
Component Inventory & Mapping
š¦ Packages to Microservices Mapping
| Current Package | Target Microservice(s) | Type | Action |
|---|---|---|---|
@repo/db | All services | Shared | Migrate to service-specific schemas |
@repo/auth | Auth Service | Core | Becomes Auth Service core |
@repo/core (validators) | All services | Shared | Replicate validators to each service |
@repo/permissions | Auth Service + API Gateway | Core | Centralize in Auth Service |
@repo/http-client | All services | Shared | Keep as NPM package, use by all |
@repo/helpers | All services | Utility | Replicate or maintain as package |
@repo/hooks | All MFE modules | UI | Move to respective micro-frontend |
@repo/i18n | Shell module + All | UI | Keep as shared, reference by all |
@repo/components/ | Product/UI modules | UI | Move to specific MFE modules |
@repo/ui-<*> | Shell module | UI | Becomes design system in shell |
@repo/icons-<*> | Shell module | UI | Becomes icon library in shell |
šļø Database Schema Distribution
Current: Single MongoDB database (all tables mixed)
Target: Polyglot persistence (Database per Service)
auth_db (MongoDB)
āāā Account
āāā VerificationToken
āāā PasswordResetToken
āāā TwoFactorToken
āāā TwoFactorConfirmation
users_db (MongoDB)
āāā User (subset: id, email, name, role)
āāā UserProfile
āāā UserSettings
orgs_db (MongoDB)
āāā Organization
āāā OrganizationMember
āāā InvitationToken
products_db (MongoDB)
āāā Product
āāā Category
āāā ProductImage
āāā Inventory
āāā ProductVariant
orders_db (MongoDB)
āāā Order
āāā OrderItem
āāā OrderStatus
āāā OrderHistory
analytics_db (MongoDB) + Optional InfluxDB
āāā Analytics
āāā UserActivity
āāā DashboardMetrics
āāā AuditLog
settings_db (MongoDB)
āāā Setting
āāā FAQ
āāā Subscription
āāā FeatureFlagš API Endpoints Mapping
Before: Single API (/api/...)
After: Distributed APIs
API Gateway (Port 3000)
āāā /api/auth ā Auth Service (3001)
āāā /api/users ā User Service (3002)
āāā /api/orgs ā Organization Service (3003)
āāā /api/products ā Product Service (3004)
āāā /api/orders ā Order Service (3005)
āāā /api/analytics ā Analytics Service (3006)
āāā /api/settings ā Settings Service (3007)
āāā /api/notify ā Notification Service (3008)Migration Strategy (5 Phases)
ā Phase 1: Foundation & Infrastructure Setup
Duration: 2-3 weeks Difficulty: LOW Parallel Activity: Can start while building services
Objectives:
- Set up Docker & Compose infrastructure
- Create API Gateway service skeleton
- Set up local development environment
- Configure CI/CD pipeline basics
Tasks:
-
Docker Infrastructure
ā Create Dockerfile templates for Node.js services ā Create Docker Compose file for local development ā Set up .dockerignore files ā Configure volume mounts for hot reload ā Set up networking between containers -
API Gateway Service
ā Create Express/Fastify server ā Implement routing to backend services ā Add request logging & monitoring ā Set up CORS & security headers ā Implement rate limiting ā Add circuit breaker pattern -
Development Environment
ā Docker Compose with all services ā Environment variables management ā Local database setup scripts ā Service discovery configuration ā Logging aggregation setup (optional) -
CI/CD Basics
ā GitHub Actions workflow template ā Docker image building & pushing ā Environment-based deployment
Deliverables:
docker-compose.ymlwith basic services- API Gateway running & routing to stub services
- Development guide with Docker commands
ā Phase 2: Extract Micro-Frontend (Store)
Duration: 1-2 weeks Difficulty: LOW-MEDIUM Dependencies: Phase 1 complete
Why start here: Frontend extraction is lower risk than backend service extraction
Objectives:
- Separate frontend shell and modules
- Implement module federation
- Set up micro-frontend orchestration
- Maintain existing API communication
Tasks:
-
Create Shell Application
ā Extract layout from current main ā Create main shell (Port 3100) ā Implement module loader ā Setup dynamic import system ā Global state (zustand/context) ā Theme management ā Language switching -
Extract Micro-Frontend Modules
ā Auth Module (3101) - Login, Register, 2FA ā Product Module (3104) - Catalog, Search, Detail ā Order Module (3105) - Cart, Order creation, History ā Analytics Module (3106) - Dashboard, Charts -
Implement Module Federation (Webpack/Module Federation)
ā Configure webpack for module sharing ā Define shared dependencies (React, etc) ā Remote entry points for each module ā Fallback handling -
Error Handling & Boundaries
ā Error boundaries in shell ā Graceful module load failures ā Timeout handling
Deliverables:
- Shell application orchestrating modules
- Each module as separate Next.js app
- Module Federation configuration
- Development guide for running all modules
āļø Phase 3: Extract Core Services (Auth, User)
Duration: 3-4 weeks Difficulty: MEDIUM Dependencies: Phase 1 complete, can run in parallel with Phase 2
Objectives:
- Create Auth Service (database extraction)
- Create User Service (database extraction)
- Set up inter-service communication
- Implement data replication/caching strategy
Tasks:
-
Auth Service Extraction
ā Create service skeleton (Port 3001) ā Extract auth tables to auth_db ā Implement JWT token generation ā Implement 2FA logic ā Implement password hashing (bcrypt) ā Create REST endpoints ā Create service-to-service auth middleware ā Add rate limiting for auth endpoints ā Implement token refresh mechanism -
User Service Extraction
ā Create service skeleton (Port 3002) ā Extract user data to users_db ā Implement profile management ā Implement settings management ā Create REST endpoints ā Add token validation middleware (via Auth Service) ā Implement user deletion cascade logic -
Organization Service Creation
ā Create service skeleton (Port 3003) ā Extract organization data to orgs_db ā Implement member management ā Implement invite system ā Create REST endpoints ā Integration with Auth & User Services -
Inter-Service Communication
ā Implement service discovery (DNS or consul) ā Service-to-service HTTP calls with retry ā Circuit breaker implementation ā Implement caching layer (Redis) -
Data Migration
ā Create migration scripts for auth data ā Create migration scripts for user data ā Create migration scripts for org data ā Validation & verification ā Rollback procedures
Deliverables:
- Auth Service running independently
- User Service running independently
- Organization Service running independently
- Migration scripts and documentation
- Service integration tests
āļø Phase 4: Extract Business Services (Product, Order)
Duration: 4-5 weeks Difficulty: MEDIUM-HIGH Dependencies: Phase 3 complete
Objectives:
- Create Product Service
- Create Order Service
- Create Analytics Service
- Implement event-driven communication
Tasks:
-
Product Service Extraction
ā Create service skeleton (Port 3004) ā Extract product tables to products_db ā Implement CRUD operations ā Implement inventory management ā Implement category management ā Create search/filter logic ā Create REST endpoints ā Integration with Auth Service ā Add caching for catalog -
Order Service Extraction
ā Create service skeleton (Port 3005) ā Extract order tables to orders_db ā Implement order creation logic ā Implement order status workflow ā Implement order history tracking ā Create REST endpoints ā Integration with Auth, User, Product Services ā Implement saga pattern for order processing ā Add order status notifications -
Analytics Service Creation
ā Create service skeleton (Port 3006) ā Set up analytics_db (MongoDB) ā Implement event listener (Kafka/Redis Streams) ā Implement dashboard metrics aggregation ā Implement audit logging ā Create REST endpoints for reporting ā Add time-series capabilities -
Event Bus Setup
ā Set up message broker (Redis or Kafka) ā Implement event producers in services ā Implement event consumers for analytics ā Implement event schema validation ā Add dead letter queue handling ā Implement event replay capability -
Data Migration
ā Create migration scripts for products ā Create migration scripts for orders ā Create migration scripts for analytics ā Parallel running with old system ā Validation & reconciliation ā Rollback procedures
Deliverables:
- Product Service running independently
- Order Service running independently
- Analytics Service running independently
- Event bus infrastructure
- Migration scripts
- Service integration tests
āļø Phase 5: Extract Remaining Services & Optimize
Duration: 2-3 weeks Difficulty: LOW-MEDIUM Dependencies: Phase 4 complete
Objectives:
- Create Settings Service
- Create Notification Service
- Decommission old monolithic API
- Performance optimization
- Production readiness
Tasks:
-
Settings Service
ā Create service skeleton (Port 3007) ā Extract settings tables ā Implement FAQ management ā Implement subscription management ā Implement feature flags ā Create REST endpoints ā Integration with other services -
Notification Service
ā Create service skeleton (Port 3008) ā Implement email notifications (SendGrid) ā Implement SMS notifications (Twilio) ā Implement push notifications (FCM) ā Integrate with event bus ā Create notification templates ā Implement notification history/logging -
Remaining Micro-Frontend Modules
ā User Module (3102) - Profile, Settings ā Organization Module (3103) - Org Dashboard, Member Mgmt ā Admin Module (3107) - Admin Dashboard, Settings -
Complete Admin Portal as MFE
ā Extract main as admin-module ā Integrate with Settings Service ā Integrate with Analytics Service ā Implement admin-specific dashboards -
Optimization & Hardening
ā Database indexing optimization ā Query optimization ā Caching strategy refinement ā API response time optimization ā Security hardening (HTTPS, encryption) ā Load testing ā Performance monitoring setup -
Decommission Old API
ā Verify all services running correctly ā Verify all data migrated ā Monitor for errors in new system ā Gradual rollout (canary deployment) ā Old API deprecation warnings ā Complete cutover when stable
Deliverables:
- All services running independently
- All micro-frontend modules operational
- Old monolithic API decommissioned
- Complete monitoring & observability
- Production deployment guide
- Performance benchmarks
Docker & Infrastructure Setup
š³ Docker Compose Configuration
File: docker-compose.yml
version: '3.8'
services:
# API Gateway
api-gateway:
build:
context: ./services/api-gateway
dockerfile: Dockerfile
ports:
- '3000:3000'
environment:
NODE_ENV: development
AUTH_SERVICE_URL: http://auth:3001
USER_SERVICE_URL: http://user:3002
ORG_SERVICE_URL: http://org:3003
PRODUCT_SERVICE_URL: http://product:3004
ORDER_SERVICE_URL: http://order:3005
ANALYTICS_SERVICE_URL: http://analytics:3006
SETTINGS_SERVICE_URL: http://settings:3007
NOTIFY_SERVICE_URL: http://notify:3008
depends_on:
- redis
networks:
- aori-network
# Auth Service
auth:
build:
context: ./services/auth
dockerfile: Dockerfile
ports:
- '3001:3001'
environment:
NODE_ENV: development
DATABASE_URL: mongodb://mongodb:27017/auth_db
JWT_SECRET: ${JWT_SECRET:-your-secret-key}
REDIS_URL: redis://redis:6379
depends_on:
- mongodb
- redis
networks:
- aori-network
volumes:
- ./services/auth/src:/app/src
# User Service
user:
build:
context: ./services/user
dockerfile: Dockerfile
ports:
- '3002:3002'
environment:
NODE_ENV: development
DATABASE_URL: mongodb://mongodb:27017/users_db
AUTH_SERVICE_URL: http://auth:3001
REDIS_URL: redis://redis:6379
depends_on:
- mongodb
- redis
- auth
networks:
- aori-network
volumes:
- ./services/user/src:/app/src
# Organization Service
org:
build:
context: ./services/org
dockerfile: Dockerfile
ports:
- '3003:3003'
environment:
NODE_ENV: development
DATABASE_URL: mongodb://mongodb:27017/orgs_db
AUTH_SERVICE_URL: http://auth:3001
USER_SERVICE_URL: http://user:3002
REDIS_URL: redis://redis:6379
depends_on:
- mongodb
- redis
- auth
- user
networks:
- aori-network
volumes:
- ./services/org/src:/app/src
# Product Service
product:
build:
context: ./services/product
dockerfile: Dockerfile
ports:
- '3004:3004'
environment:
NODE_ENV: development
DATABASE_URL: mongodb://mongodb:27017/products_db
AUTH_SERVICE_URL: http://auth:3001
ORG_SERVICE_URL: http://org:3003
REDIS_URL: redis://redis:6379
EVENT_BUS_URL: redis://redis:6379/1
depends_on:
- mongodb
- redis
networks:
- aori-network
volumes:
- ./services/product/src:/app/src
# Order Service
order:
build:
context: ./services/order
dockerfile: Dockerfile
ports:
- '3005:3005'
environment:
NODE_ENV: development
DATABASE_URL: mongodb://mongodb:27017/orders_db
AUTH_SERVICE_URL: http://auth:3001
USER_SERVICE_URL: http://user:3002
PRODUCT_SERVICE_URL: http://product:3004
REDIS_URL: redis://redis:6379
EVENT_BUS_URL: redis://redis:6379/1
depends_on:
- mongodb
- redis
- auth
- user
- product
networks:
- aori-network
volumes:
- ./services/order/src:/app/src
# Analytics Service
analytics:
build:
context: ./services/analytics
dockerfile: Dockerfile
ports:
- '3006:3006'
environment:
NODE_ENV: development
DATABASE_URL: mongodb://mongodb:27017/analytics_db
AUTH_SERVICE_URL: http://auth:3001
REDIS_URL: redis://redis:6379
EVENT_BUS_URL: redis://redis:6379/1
depends_on:
- mongodb
- redis
- auth
networks:
- aori-network
volumes:
- ./services/analytics/src:/app/src
# Settings Service
settings:
build:
context: ./services/settings
dockerfile: Dockerfile
ports:
- '3007:3007'
environment:
NODE_ENV: development
DATABASE_URL: mongodb://mongodb:27017/settings_db
AUTH_SERVICE_URL: http://auth:3001
REDIS_URL: redis://redis:6379
depends_on:
- mongodb
- redis
- auth
networks:
- aori-network
volumes:
- ./services/settings/src:/app/src
# Notification Service
notify:
build:
context: ./services/notify
dockerfile: Dockerfile
ports:
- '3008:3008'
environment:
NODE_ENV: development
DATABASE_URL: mongodb://mongodb:27017/notify_db
SENDGRID_API_KEY: ${SENDGRID_API_KEY}
TWILIO_ACCOUNT_SID: ${TWILIO_ACCOUNT_SID}
TWILIO_AUTH_TOKEN: ${TWILIO_AUTH_TOKEN}
REDIS_URL: redis://redis:6379
EVENT_BUS_URL: redis://redis:6379/1
depends_on:
- redis
networks:
- aori-network
volumes:
- ./services/notify/src:/app/src
# Micro-Frontend: Shell
shell:
build:
context: ./micro-frontends/shell
dockerfile: Dockerfile
ports:
- '3100:3000'
environment:
NODE_ENV: development
API_GATEWAY_URL: http://localhost:3000
depends_on:
- api-gateway
networks:
- aori-network
volumes:
- ./micro-frontends/shell/src:/app/src
# Micro-Frontend: Auth Module
auth-module:
build:
context: ./micro-frontends/auth
dockerfile: Dockerfile
ports:
- '3101:3000'
environment:
NODE_ENV: development
API_GATEWAY_URL: http://localhost:3000
networks:
- aori-network
volumes:
- ./micro-frontends/auth/src:/app/src
# Micro-Frontend: Product Module
product-module:
build:
context: ./micro-frontends/product
dockerfile: Dockerfile
ports:
- '3104:3000'
environment:
NODE_ENV: development
API_GATEWAY_URL: http://localhost:3000
networks:
- aori-network
volumes:
- ./micro-frontends/product/src:/app/src
# Micro-Frontend: Order Module
order-module:
build:
context: ./micro-frontends/order
dockerfile: Dockerfile
ports:
- '3105:3000'
environment:
NODE_ENV: development
API_GATEWAY_URL: http://localhost:3000
networks:
- aori-network
volumes:
- ./micro-frontends/order/src:/app/src
# Databases
mongodb:
image: mongo:7
ports:
- '27017:27017'
environment:
MONGO_INITDB_ROOT_USERNAME: root
MONGO_INITDB_ROOT_PASSWORD: ${MONGO_PASSWORD:-password}
volumes:
- mongodb_data:/data/db
networks:
- aori-network
healthcheck:
test: ['CMD', 'mongosh', '--eval', "db.adminCommand('ping')"]
interval: 10s
timeout: 5s
retries: 5
# Cache & Event Bus
redis:
image: redis:7-alpine
ports:
- '6379:6379'
volumes:
- redis_data:/data
networks:
- aori-network
healthcheck:
test: ['CMD', 'redis-cli', 'ping']
interval: 10s
timeout: 5s
retries: 5
volumes:
mongodb_data:
redis_data:
networks:
aori-network:
driver: bridgeš¦ Service Dockerfile Template
File: services/<service>/Dockerfile
FROM node:20-alpine
WORKDIR /app
# Install dependencies
COPY package*.json bun.lock* ./
RUN npm install -g bun && bun install --frozen-lockfile
# Copy source code
COPY src ./src
COPY tsconfig.json ./
COPY .env* ./
# Build if needed (optional for development)
# RUN bun run build
# Expose port
EXPOSE 3001
# Start service
CMD ["bun", "run", "src/index.ts"]š Environment Configuration
File: .env.docker
# API Gateway
API_GATEWAY_PORT=3000
# Services
AUTH_SERVICE_PORT=3001
USER_SERVICE_PORT=3002
ORG_SERVICE_PORT=3003
PRODUCT_SERVICE_PORT=3004
ORDER_SERVICE_PORT=3005
ANALYTICS_SERVICE_PORT=3006
SETTINGS_SERVICE_PORT=3007
NOTIFY_SERVICE_PORT=3008
# Database
DATABASE_URL=mongodb://root:password@mongodb:27017/
MONGODB_URI=mongodb://root:password@mongodb:27017/
# Cache & Events
REDIS_URL=redis://redis:6379
EVENT_BUS_URL=redis://redis:6379/1
# Security
JWT_SECRET=your-very-secure-secret-key-change-in-production
JWT_EXPIRE=7d
# Notifications
SENDGRID_API_KEY=your-sendgrid-key
TWILIO_ACCOUNT_SID=your-twilio-sid
TWILIO_AUTH_TOKEN=your-twilio-token
# Environment
NODE_ENV=development
LOG_LEVEL=debugDeployment Topology
š Development Environment (Docker Compose)
āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā
ā Docker Network: aori-network ā
ā ā
ā āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā ā
ā ā Localhost Port Mapping (Developer Machine) ā ā
ā ā ā ā
ā ā 3000 ā API Gateway (routing) ā ā
ā ā 3001 ā Auth Service ā ā
ā ā 3002 ā User Service ā ā
ā ā 3003 ā Organization Service ā ā
ā ā 3004 ā Product Service ā ā
ā ā 3005 ā Order Service ā ā
ā ā 3006 ā Analytics Service ā ā
ā ā 3007 ā Settings Service ā ā
ā ā 3008 ā Notification Service ā ā
ā ā ā ā
ā ā 3100 ā Shell (MFE) ā ā
ā ā 3101 ā Auth Module (MFE) ā ā
ā ā 3102 ā User Module (MFE) ā ā
ā ā 3104 ā Product Module (MFE) ā ā
ā ā 3105 ā Order Module (MFE) ā ā
ā ā 3106 ā Analytics Module (MFE) ā ā
ā ā 3107 ā Admin Module (MFE) ā ā
ā ā ā ā
ā ā 27017 ā MongoDB ā ā
ā ā 6379 ā Redis ā ā
ā āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā ā
āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāš Production Environment (Kubernetes - Recommended)
āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā
ā Kubernetes Cluster ā
ā ā
ā āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā ā
ā ā Ingress Controller (nginx-ingress) ā ā
ā ā āā /api/* ā API Gateway Service ā ā
ā ā āā /shell/* ā Shell MFE ā ā
ā ā āā /auth/* ā Auth Module MFE ā ā
ā āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā ā
ā ā¼ ā
ā āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā ā
ā ā Service Mesh (Istio) - Optional ā ā
ā ā āā Traffic management ā ā
ā ā āā Security policies ā ā
ā ā āā Observability ā ā
ā āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā ā
ā ā¼ ā
ā āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā ā
ā ā Services (Deployments with auto-scaling) ā ā
ā ā āā auth-service (replicas: 2-5) ā ā
ā ā āā user-service (replicas: 2-5) ā ā
ā ā āā product-service (replicas: 2-5) ā ā
ā ā āā order-service (replicas: 3-10) ā ā
ā ā āā api-gateway (replicas: 2-5) ā ā
ā ā āā ...other services ā ā
ā āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā ā
ā ā
ā āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā ā
ā ā StatefulSets & PersistentVolumes ā ā
ā ā āā MongoDB (replicas: 3 - ReplicaSet) ā ā
ā ā āā Redis (cache & event bus) ā ā
ā ā āā Elasticsearch (optional search) ā ā
ā āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā ā
ā ā
ā āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā ā
ā ā Monitoring & Observability ā ā
ā ā āā Prometheus (metrics) ā ā
ā ā āā Grafana (dashboards) ā ā
ā ā āā ELK Stack (logging) ā ā
ā ā āā Jaeger (distributed tracing) ā ā
ā āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā ā
ā ā
ā āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā ā
ā ā CI/CD Integration ā ā
ā ā āā GitHub Actions / GitLab CI ā ā
ā ā āā Automated testing on each push ā ā
ā ā āā Docker image building & registry ā ā
ā ā āā ArgoCD for GitOps deployment ā ā
ā ā āā Automated rollback on failure ā ā
ā āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā ā
āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāš CI/CD Pipeline (GitHub Actions)
File: .github/workflows/ci-cd.yml
name: CI/CD Pipeline
on:
push:
branches: [main, develop]
pull_request:
branches: [main, develop]
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- uses: oven-sh/setup-bun@v1
- name: Install dependencies
run: bun install --frozen-lockfile
- name: Lint
run: bun run lint
- name: Type check
run: bun run type-check
- name: Unit tests
run: bun run test
- name: Build services
run: bun run build
build-and-push:
needs: test
if: github.event_name == 'push'
runs-on: ubuntu-latest
strategy:
matrix:
service: [api-gateway, auth, user, org, product, order, analytics, settings, notify]
steps:
- uses: actions/checkout@v3
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v2
- name: Login to Docker Hub
uses: docker/login-action@v2
with:
username: ${{ secrets.DOCKER_USERNAME }}
password: ${{ secrets.DOCKER_PASSWORD }}
- name: Build and push
uses: docker/build-push-action@v4
with:
context: ./services/${{ matrix.service }}
push: true
tags: |
${{ secrets.DOCKER_REGISTRY }}/aori-${{ matrix.service }}:${{ github.sha }}
${{ secrets.DOCKER_REGISTRY }}/aori-${{ matrix.service }}:latest
deploy:
needs: build-and-push
if: github.ref == 'refs/heads/main'
runs-on: ubuntu-latest
steps:
- name: Deploy to Kubernetes
run: |
kubectl set image deployment/auth-service \
auth-service=${{ secrets.DOCKER_REGISTRY }}/aori-auth:${{ github.sha }} \
--record
# Repeat for other services...Risks & Mitigation
ā ļø Technical Risks
| Risk | Impact | Likelihood | Mitigation |
|---|---|---|---|
| Data consistency across services | HIGH | MEDIUM | Implement event sourcing, saga pattern, distributed transactions |
| Network latency between services | MEDIUM | HIGH | Service mesh, caching, async processing |
| Cascading failures | CRITICAL | MEDIUM | Circuit breakers, timeouts, fallbacks, bulkheads |
| Database transaction limitations | HIGH | HIGH | Compensating transactions, eventual consistency |
| Debugging distributed systems | HIGH | HIGH | Distributed tracing (Jaeger), centralized logging |
| Service discovery failures | HIGH | MEDIUM | Use Kubernetes DNS, health checks, load balancer |
š”ļø Mitigation Strategies
1. Circuit Breaker Pattern
Service A ā [Circuit Breaker] ā Service B
States: CLOSED (normal) ā OPEN (failing) ā HALF_OPEN (testing recovery)2. Eventual Consistency
- Accept temporary inconsistency
- Implement reconciliation jobs
- Use event logs for audit trail
3. Distributed Tracing
- Add trace IDs to all requests
- Log trace ID in every service
- Use Jaeger for visualization
4. Comprehensive Monitoring
- Service health checks
- Request/response times
- Error rates per service
- Resource utilization
5. Staged Rollout
- Canary deployment (5% traffic)
- Blue-green deployment
- Feature flags for gradual rollout
- Quick rollback procedures
š Migration Risks
| Phase | Risk | Mitigation |
|---|---|---|
| Phase 1 | Infrastructure setup delays | Start early, use templates |
| Phase 2 | Module federation complexity | Proof of concept first |
| Phase 3 | Data migration errors | Extensive testing, parallel running, rollback plan |
| Phase 4 | Service integration issues | Integration tests, end-to-end tests |
| Phase 5 | Monolithic API decommission | Gradual rollout, deprecation warnings |
Implementation Checklist
Phase 1: Foundation
- Create infrastructure directory structure
- Write Dockerfile templates
- Create docker-compose.yml
- Implement API Gateway service
- Set up GitHub Actions CI/CD basics
- Create environment configuration
- Document setup instructions
- Local development guide
Phase 2: Micro-Frontend
- Create shell application
- Implement module federation
- Extract auth module
- Extract product module
- Extract order module
- Extract analytics module
- Module communication setup
- Error handling & boundaries
Phase 3: Core Services
- Auth Service implementation
- User Service implementation
- Organization Service implementation
- Data migration scripts (auth, user, org)
- Integration tests
- Service-to-service communication
- Caching layer setup
Phase 4: Business Services
- Product Service implementation
- Order Service implementation
- Analytics Service implementation
- Event bus setup
- Data migration scripts (product, order)
- Saga pattern implementation
- Event-driven communication
Phase 5: Finalization
- Settings Service implementation
- Notification Service implementation
- Remaining micro-frontend modules
- Admin portal as micro-frontend
- Performance optimization
- Security hardening
- Load testing
- Monolithic API decommission
File Structure (Post-Migration)
aori-apps/
āāā services/ # Microservices
ā āāā api-gateway/
ā ā āāā src/
ā ā āāā Dockerfile
ā ā āāā package.json
ā āāā auth/
ā āāā user/
ā āāā org/
ā āāā product/
ā āāā order/
ā āāā analytics/
ā āāā settings/
ā āāā notify/
ā
āāā micro-frontends/ # Micro-Frontend Apps
ā āāā shell/ # Main orchestrator
ā āāā auth-module/
ā āāā user-module/
ā āāā org-module/
ā āāā product-module/
ā āāā order-module/
ā āāā analytics-module/
ā āāā admin-module/
ā
āāā shared/ # Shared packages
ā āāā http-client/ # HTTP client library
ā āāā validators/ # Shared validators
ā āāā constants/ # Shared constants
ā āāā types/ # Shared TypeScript types
ā āāā utils/ # Shared utilities
ā
āāā infrastructure/ # Infrastructure as Code
ā āāā docker-compose.yml
ā āāā kubernetes/
ā ā āāā namespaces.yaml
ā ā āāā deployments/
ā ā āāā services/
ā ā āāā ingress.yaml
ā ā āāā config-maps.yaml
ā āāā terraform/
ā āāā github/
ā
āāā docs/ # Documentation
ā āāā architecture/
ā āāā deployment/
ā āāā development/
ā āāā api-reference/
ā
āāā tools/ # Development tools
ā āāā scripts/
ā āāā cli/
ā
āāā .github/workflows/ # CI/CD
ā āāā ci-cd.yml
ā
āāā docker-compose.yml
āāā .env.example
āāā package.json # Root workspace config
āāā README.mdSuccess Metrics
After full migration, measure:
ā Performance:
- API response time: < 200ms p99
- Service startup time: < 30s
- Deployment time: < 5m per service
- Database query time: < 50ms p99
ā Reliability:
- System uptime: > 99.9%
- Error rate: < 0.1%
- MTTR (Mean Time To Recovery): < 15m
- Zero cascading failures in production
ā Development:
- Local development setup time: < 10m
- Build time per service: < 2m
- Test execution time: < 5m
- Deployment frequency: Daily
ā Scaling:
- Horizontal scaling: Services scale independently
- Resource utilization: 60-70%
- Cost optimization: Pay per service, not total
- Peak load handling: 5x traffic increase
Next Steps
-
Review & Approve Blueprint
- Stakeholder alignment on architecture
- Technical team consensus
- Business case validation
-
Phase 1 Kickoff
- Set up repository structure
- Create templates and tools
- Assign team members
- Define success criteria
-
Continuous Monitoring
- Track migration progress
- Adjust timeline if needed
- Document learnings
- Share updates with team
-
Post-Migration
- Gather feedback from teams
- Optimize based on learnings
- Plan ecosystem expansion
- Plan Phase 5 (optional) for advanced features
References
- Microservices Pattern: https://microservices.io/
- Docker: https://docs.docker.com/
- Kubernetes: https://kubernetes.io/docs/
- Module Federation: https://webpack.js.org/concepts/module-federation/
- Event-Driven Architecture: https://www.ibm.com/cloud/learn/event-driven-architecture
- Saga Pattern: https://microservices.io/patterns/data/saga.html
- Circuit Breaker: https://martinfowler.com/bliki/CircuitBreaker.html
- Database per Service: https://microservices.io/patterns/data/database-per-service.html
Document prepared for internal team use. Last updated: August 4, 2026