Core Microservices Architecture - Wiz-DevTech/prettygirllz GitHub Wiki

Core Microservices Architecture

  1. Identity & Access Service

    • Authentication (OAuth2/JWT)

    • Role-based authorization

    • Profile management

    • Avatar Engine (3D rendering service)

  2. Product Catalog Service

    • Candy Module (SKU management, inventory)

    • Fashion Module (Size charts, color variants)

    • Virtual Try-On Adapter (Avatar integration)

  3. Logistics Service

    • Delivery Orchestrator (routes to appropriate handler)

    • Home Delivery System

    • Drop Zone Network

      • QR Generation Service

      • Location Verification

      • Offline Cache Manager

    • Fraud Detection (scan anomaly monitoring)

  4. Social Commerce Service

    • Product Chat (WebSocket-based)

    • Community Feed (TikTok-style)

    • Content Moderation (AI filter)

  5. Frontend Gateway

    • SSR Templates (JSP)

    • API Composition Layer

    • Client-Side Adaptors (Mobile/Web)

Specialized Subsystems

Module | Key Tech | Data Store -- | -- | -- QR Cryptographic Engine | Java Cryptography Architecture | Redis (ephemeral) Avatar Rendering | Three.js WebGL | S3 (asset storage) Real-time Notifications | Socket.IO | MongoDB Change Streams Search & Discovery | Elasticsearch | Separate search index

Critical Integration Points

  1. Location Services Gateway

    • Google Maps API

    • WiFi Fingerprinting (for indoor school locations)

    • Address Validation Service

  2. Media Processing Pipeline

    Diagram
    Code
    Download

    Upload

    Resize

    Watermark

    CDN

    • Cloudinary for transformations

    • Rekognition for content safety

  3. Payment Abstraction Layer

    • Stripe/PayPal connectors

    • School Meal Card integration

DevOps Perspective

Observability-Centric Grouping:

  • User-Facing Services (UI, API Gateway)

  • Transaction Services (Orders, Payments)

  • Background Services (Recommendations, Notifications)

  • Infrastructure Services (Service Mesh, Config Server)

Suggested Improvements:

  1. Extract Avatar Service from Identity (high GPU needs)

  2. Separate Fraud Service from Logistics

  3. Add Edge Cache for product images

This structure optimizes for:

  • Independent scaling of compute-intensive services

  • Clear domain boundaries

  • Simplified compliance (COPPA/GDPR)

  • Enhanced failure isolation

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