Architecture

Understanding Appizer's system architecture and design principles

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.

<DiagramWrapper
title="System Architecture"
description="High-level overview of Appizer's core components"
chart={`
graph TB
Client[Client Application]
API[REST API Gateway]
Events[Event Processing]
Users[User Service]
Analytics[Analytics Engine]
Push[Push Notification Service]
DB[(Database)]
Queue[Message Queue]

text
Client -->|HTTP/HTTPS| API
API --> Events
API --> Users
API --> Analytics
API --> Push

Events --> Queue
Queue --> DB
Analytics --> DB
Users --> DB
Push --> Queue

style API fill:#0F7F4F,stroke:#16A34A,color:#fff
style Client fill:#e3f2fd,stroke:#1976d2
style DB fill:#fff3e0,stroke:#f57c00

`}
relatedLinks={[
{ label: 'Request Lifecycle', href: '/docs/diagrams/request-lifecycle' },
{ label: 'API Overview', href: '/docs/api/overview' }
]}
/>

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

  1. Event Ingestion
    Client sends event to API gateway with authentication credentials
  2. Validation
    API validates request format, authentication, and rate limits
  3. Processing
    Event is queued for asynchronous processing and enrichment
  4. Storage
    Processed event is stored in the database for analytics
  5. Analytics
    Event data becomes available for querying and segmentation

Next Steps

On this page