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Modernization of WebRTC Broadcasting Platform for Scalability and Cost Efficiency
  1. case
  2. Modernization of WebRTC Broadcasting Platform for Scalability and Cost Efficiency

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Modernization of WebRTC Broadcasting Platform for Scalability and Cost Efficiency

oxagile.com
Telecommunications
Information technology
Business services

Challenges with Legacy Infrastructure

The existing WebRTC platform, built on a legacy stack over a decade ago, faces critical scalability limitations, high latency during live broadcasts, and unsustainable cloud infrastructure costs when supporting growing global audiences.

About the Client

Provider of WebRTC broadcasting solutions for enterprise video conferencing, live events, and secure content delivery to Fortune 500 companies

Strategic Modernization Goals

  • Redesign and migrate to a modern, scalable technology stack
  • Optimize total cost of ownership (TCO) through resource efficiency
  • Reduce video delivery latency across global networks
  • Ensure seamless support for multiparty conferencing and large-scale events
  • Implement automated scaling and performance monitoring

Core Platform Capabilities

  • Multiparty video conferencing with screen sharing
  • Secure file exchange and content management
  • Real-time analytics and reporting dashboard
  • End-to-end encrypted content playout
  • User role-based access control

Modern Technology Stack

Kubernetes-based microservices architecture
In-memory caching layer (Redis/Memcached)
CDN integration for content delivery
RESTful APIs with OpenAPI specification
AWS EC2 with autoscaling groups

Critical System Integrations

  • CDN providers with chunk/playlist caching support
  • Cloud infrastructure APIs for dynamic resource allocation
  • Monitoring tools for real-time performance tracking
  • Identity providers for enterprise SSO integration

Performance & Operational Requirements

  • Horizontal scalability to 10x concurrent users
  • End-to-end latency under 500ms for global audiences
  • 99.99% platform availability SLA
  • Cost-effective video transcoding infrastructure
  • Automated failover for live stream backup

Expected Business Impact

Projected 10x reduction in cloud infrastructure costs while enabling intelligent auto-scaling to handle audience spikes, with sub-second latency improvements across the video delivery pipeline to ensure enterprise-grade reliability and user satisfaction.

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