A high-performance, scalable email delivery platform designed for bulk emails, newsletters, and marketing campaigns.
Cerebro Mail is a modern email platform built with Go, providing advanced features for sending, tracking, and optimizing email campaigns. This platform is designed as a SaaS solution with multi-tenant support, allowing teams to collaborate on email campaigns with powerful analytics.
Cerebro Mail is built using a microservices architecture with gRPC for internal communication:
- SMTP Server: High-performance email sending service written in Go
- Campaign Management: Service for managing email campaigns and schedules
- Analytics Engine: Real-time analytics using Apache Pinot
- Email Editor: Rich drag-and-drop template editor
- AI Integration: Support for AI-assisted content creation and optimization
- Team Management: Multi-tenant support with team collaboration features
- Billing System: Subscription management for SaaS model
- Backend: Go (Golang) for performance and concurrency
- Frontend: React/Next.js for admin dashboard and editor
- Internal Communication: gRPC for service-to-service communication
- User Data: PostgreSQL for transactional data
- Analytics: Apache Pinot for high-performance analytics
- Queue: Redis/RabbitMQ for message processing
- Infrastructure: Kubernetes for orchestration
- PostgreSQL: Stores user accounts, team data, campaigns, templates, and billing information
- Apache Pinot: Handles all analytics data including opens, clicks, bounces, and engagement metrics
cerebro-mail/
├── api/
│ ├── proto/ # Protocol buffer definitions
│ │ ├── smtp/ # SMTP service definitions
│ │ ├── campaign/ # Campaign management
│ │ ├── analytics/ # Analytics data structures
│ │ ├── team/ # Team management
│ │ ├── billing/ # Subscription/billing
│ │ ├── ai/ # AI service interfaces
│ │ └── common/ # Shared message types
│ └── gen/ # Generated gRPC code
├── services/
│ ├── smtp/ # SMTP server implementation
│ ├── campaign/ # Campaign management service
│ ├── delivery/ # Email delivery workers
│ ├── analytics/ # Analytics processing
│ ├── ai/ # AI integration service
│ ├── billing/ # Subscription management
│ ├── team/ # Team management
│ └── auth/ # Authentication service
├── internal/
│ ├── queue/ # Message queue abstraction
│ ├── storage/ # Storage interfaces
│ ├── metrics/ # Metrics collection
│ └── utils/ # Shared utilities
├── web/
│ ├── admin/ # Admin dashboard frontend
│ ├── landing/ # Marketing site
│ ├── dashboard/ # User dashboard
│ ├── email-editor/ # Email template editor
│ ├── shared/ # Shared frontend components
│ └── api-gateway/ # gRPC-Web/REST gateway
├── docs/
│ ├── api/ # API documentation
│ ├── user/ # User documentation
│ ├── admin/ # Admin documentation
│ └── developer/ # Developer guides
├── infra/
│ ├── terraform/ # Infrastructure as code
│ ├── kubernetes/ # K8s configuration
│ ├── monitoring/ # Monitoring setup
│ ├── saas/ # Multi-tenant infrastructure
│ ├── ci-cd/ # CI/CD configurations
│ │ ├── github-actions/ # GitHub Actions workflows
│ │ ├── gitlab-ci/ # GitLab CI configurations
│ │ ├── jenkins/ # Jenkins pipelines
│ │ └── argocd/ # ArgoCD configurations
│ └── pinot/ # Pinot deployment configs
└── tools/
├── cli/ # CLI tools
└── dev/ # Development utilities
- High-throughput SMTP server with worker pools
- Automatic IP rotation to prevent blacklisting
- Domain-based sending quotas and throttling
- Smart retry logic based on error types
- DKIM/SPF/DMARC implementation
- Real-time tracking of opens, clicks, and engagement
- Detailed reports on campaign performance
- Segmentation based on user behavior
- A/B testing capabilities with statistical analysis
- Deliverability monitoring and reputation tracking
- Drag-and-drop template builder
- Dynamic content blocks
- Personalization token system
- Mobile preview and testing
- Template version control
- Collaboration features for teams
- Pluggable AI provider interface
- Default AI service with reasonable rate limits
- Custom provider configuration for enterprise users
- AI-assisted email campaign creation
- Subject line optimization
- Content improvement suggestions
- Send time optimization
- Multi-tenant architecture
- Team management with role-based access
- Subscription tiers with different features
- White-labeling capabilities
- Usage tracking and quota enforcement
- Set up repository structure
- Define proto schemas for services
- Implement basic SMTP server in Go
- Create PostgreSQL schema for user data
- Set up Apache Pinot for analytics
- Implement authentication service
- Create API gateway for external communication
- Implement campaign creation and scheduling
- Create recipient list management
- Build email template storage
- Implement sending pipeline with queues
- Set up basic event tracking
- Create simple dashboard for campaigns
- Build drag-and-drop editor interface
- Implement template components
- Create personalization system
- Add responsive preview capabilities
- Implement template versioning
- Add template sharing between team members
- Set up event tracking pipeline
- Implement open and click tracking
- Create analytics dashboards
- Build reporting system
- Implement A/B testing
- Add deliverability monitoring
- Implement AI service integration
- Add content suggestions
- Build subject line optimization
- Create send time optimization
- Implement audience segmentation
- Add advanced personalization features
- Implement multi-tenant support
- Create team management
- Build subscription billing system
- Add role-based access control
- Implement white-labeling
- Create usage tracking and quotas
- Horizontal scaling of sending nodes
- Sharded database for recipient lists
- Rate limiting and throttling mechanisms
- Caching layer for templates
- Message queuing for asynchronous processing
- Regional deployments for faster delivery
- End-to-end encryption options
- Authentication and authorization
- Email authentication standards
- Rate limiting to prevent abuse
- Anomaly detection for unusual patterns
- Compliance with email regulations (CAN-SPAM, GDPR)
- Go 1.21+
- Node.js 18+
- Docker and Docker Compose
- Kubernetes (for production deployment)
- Clone the repository
- Run
make setupto initialize development environment - Start services with
docker-compose up - Access the dashboard at
http://localhost:3000
- Follow Go and React best practices
- Update protocol buffers as needed
- Run tests before submitting PRs
- Keep documentation updated
[License Information]