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Case Study

WebRTC Video Platform

Scalable peer-to-peer and SFU-based video conferencing with adaptive bitrate and session management.

WebRTC Video Platform

Overview

Built a WebRTC-based video platform covering signaling, media routing, and client SDK integration. The system supports room-based conferencing with dynamic participant management and network-aware quality adaptation.

Architecture

Signaling server coordinates ICE negotiation and room state. Selective Forwarding Unit (SFU) routes media streams for multi-party sessions. TURN servers provide relay fallback for restrictive networks.

WebRTC Video Platform architecture diagram

Tech Stack

WebRTCNode.jsSocket.ioReactDockerSTUN/TURN

System Design

Signaling uses WebSocket channels for offer/answer exchange and ICE candidate trickling. The SFU selectively forwards layers based on subscriber bandwidth. Session records capture join/leave events for analytics.

Challenges

  • 01Optimizing bandwidth with simulcast and adaptive bitrate strategies
  • 02Managing room state consistency across distributed signaling nodes
  • 03Graceful degradation when peers disconnect unexpectedly

Implementation

Client SDK abstracts peer connection lifecycle, device selection, and reconnection. Server-side health checks monitor packet loss and RTT to trigger quality tier changes.

Results

Achieved stable multi-party sessions with automatic recovery from transient network drops and measurable QoS metrics per participant.

Lessons Learned

  • WebRTC debugging requires end-to-end visibility—instrument both client and server
  • Fallback paths (TURN) are not optional for real-world deployment
  • User-perceived quality matters more than raw resolution numbers