Case Study Showcase

MLM Media Platform

Media-rich real-time networking platform with advanced video processing

ReactViteNode.jsExpressMongoDBSocket.ioAWS S3CloudinaryFFmpegOpenTelemetryRedux Toolkit
DeploymentCloudinary + CDN
AccessPrivate
Codebase7.7 MB
Stack11 Technologies
The Challenge & Bottleneck

Core Problem Statement

"Managing multi-level networking hierarchies while concurrently processing heavy media files required a stable system that prevents main-thread blocking and delivers high-performance streaming."

Engineered Solution

Architectural Implementation

Decoupled client-server architecture utilizing a React/Vite SPA and an Express/Node.js REST API. Integrates Socket.io for real-time updates and FFmpeg for server-side video processing.

Engineering Deep Dive

Detailed review of tradeoffs, database models, scaling strategies, and microservices

Structural Trade-offs & Decisions

Directly executing FFmpeg in the backend reduces deployment complexity but requires careful CPU management compared to separate worker tiers.

Context & Constraints

  • Engineered for complex hierarchical networking structures.
  • Requires robust media processing without blocking application flow.
  • Deep observability integrated to monitor system health in real-time.

Database Modeling & Storage Strategy

Document-based metadata for processed media assets and flexible schemas for user downline hierarchies.

Scaling Plan & Performance Roadmap

Transition plans for dedicated RabbitMQ brokers to offload media tasks and full microservices separation using existing telemetry.

System Subservices & Workers

Media Processing Pipeline
Real-time Notification Hub
Cloud Asset Management
Hierarchical Networking Engine
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