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ReactViteNode.jsExpressMongoDBSocket.ioAWS S3CloudinaryFFmpegOpenTelemetryRedux Toolkit

MLM Media Platform

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

A full-stack solution designed for hierarchical networking and multimedia sharing, featuring high-performance media processing and real-time bidirectional communication.

The Problem

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.

Architecture

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.

Scalability

Media storage is offloaded to S3 and Cloudinary, allowing stateless horizontal scaling. OpenTelemetry provides deep observability for identifying and scaling bottleneck components.

Performance

Frontend optimized via Vite and React Query caching. Backend relies on asynchronous streaming for media uploads and optimized MongoDB Atlas queries.

Key Features

Real-time hierarchical messaging and notifications via Socket.io
Progressive Web App (PWA) integration for native-like capabilities
Asynchronous video encoding and processing workflow with FFmpeg
Dual cloud storage strategy (AWS S3 + Cloudinary) for global delivery
Advanced system telemetry and distributed tracing via OpenTelemetry
Enterprise-grade hierarchical networking logic for user downlines

Core Industry Services

Media Processing PipelineReal-time Notification HubCloud Asset ManagementHierarchical Networking Engine

Project Ecosystem

Tamiz Uddin

Engineering Deep Dive

An inside look at the structural decisions, trade-offs, and scaling plans devised during implementation.

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.

Architecture Trade-offs

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

Database Modeling

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

Scaling Plan

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

Repository Insights

Initialized
Jul 2024
Last Commit
Feb 2026
Source Size
7.7 MB
Visibility
Private

Architecture data and repository metrics are synchronized via CI/CD telemetry.