Architecture

Understanding the architecture and design principles of our platform.

System Overview

Our platform follows a microservices architecture with a focus on scalability, reliability, and security. The diagram below illustrates the high-level components and their interactions:

Architecture Diagram

Client Layer

SDK

Client Libraries

Web UI

Dashboard & Admin

Mobile Apps

iOS & Android

API Gateway

Authentication

Identity & Access

Routing

Request Dispatch

Rate Limiting

Traffic Control

Caching

Response Cache

Microservices

User Service

Account Management

Data Service

Core Operations

Analytics

Metrics & Insights

Notification

Alerts & Messages

Data Layer

PostgreSQL

Relational Data

MongoDB

Document Storage

Redis

Caching & Pub/Sub

Kafka

Event Streaming

Infrastructure

Monitoring

Metrics & Alerts

Logging

Centralized Logs

Deployment

CI/CD Pipeline

Key Components

Client SDK

Our SDK provides a simple interface to interact with our platform's APIs. It handles authentication, request formatting, and response parsing.

import { Client } from '@acme/sdk';

// Initialize with configuration
const client = new Client({
  apiKey: 'your-api-key',
});

// Use the client to interact with our services
const data = await client.service.method();
javascript

API Gateway

The API Gateway serves as the entry point for all client requests. It handles:

  • Authentication and authorization
  • Request routing to appropriate microservices
  • Rate limiting and throttling
  • Request/response transformation

Microservices

Our platform is built on a collection of specialized microservices, each responsible for a specific domain:

  • User Service - Handles user management and authentication
  • Data Service - Manages core data operations
  • Analytics Service - Processes and delivers analytics data
  • Notification Service - Manages alerts and notifications

Data Layer

Our data infrastructure uses a combination of technologies:

  • PostgreSQL for relational data
  • MongoDB for document storage
  • Redis for caching and real-time features
  • Kafka for event streaming and asynchronous communication

Design Principles

Our architecture is guided by the following principles:

Scalability

All components are designed to scale horizontally to handle increasing load. Stateless services and distributed data storage enable seamless scaling.

Resilience

The system is designed to be fault-tolerant with circuit breakers, retries, and fallback mechanisms to handle failures gracefully.

Security

Security is built into every layer with encryption, authentication, authorization, and regular security audits.

Observability

Comprehensive monitoring, logging, and tracing provide visibility into system behavior and performance.

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Last updated on 3/19/2025