Understanding how Appizer is built and how components work together.
System Overview
Appizer is designed as a modular, scalable platform for analytics, user management, and engagement.
System Architecture
High-level overview of Appizer's core components
Related Documentation:
Core Components
API Gateway
Purpose: Single entry point for all client requests
- RESTful API design
- Authentication and authorization
- Rate limiting and throttling
- Request validation
Event Processing
Purpose: Handle high-volume event ingestion
- Asynchronous processing
- Batch operations support
- Event validation and enrichment
- Real-time streaming
User Service
Purpose: Manage user identities and profiles
- User creation and updates
- Identity resolution
- Alias management
- Profile enrichment
Analytics Engine
Purpose: Process and query analytics data
- Real-time aggregations
- Custom metrics
- Audience segmentation
- Query optimization
Push Notification Service
Purpose: Deliver targeted notifications
- Multi-platform support (iOS, Android, Web)
- Campaign management
- Delivery tracking
- A/B testing
Design Principles
Scalability
Built to handle millions of events per second with horizontal scaling.
Reliability
- 99.9% uptime SLA
- Automatic failover
- Data redundancy
- Graceful degradation
Performance
- Sub-100ms API response times
- Real-time event processing
- Optimized query execution
- CDN-backed delivery
Security
- End-to-end encryption
- API key authentication
- Role-based access control
- SOC 2 Type II compliant
Data Flow
Event Ingestion
Client sends event to API gateway with authentication credentials
Validation
API validates request format, authentication, and rate limits
Processing
Event is queued for asynchronous processing and enrichment
Storage
Processed event is stored in the database for analytics
Analytics
Event data becomes available for querying and segmentation