The client needed a scalable, modular system capable of handling high volumes of video streams for recording and re-streaming purposes. The solution was required to support live media ingestion, continuous recording, and dynamic re-streaming using standard protocols such as RTSP, HLS, and WebRTC. Additionally, the system had to be API-driven, containerized for flexible deployment, and designed to scale efficiently to support thousands of concurrent channels.
SERVICES
INDUSTRY
Broadcasting
TECHNOLOGIES
OUTCOME
API-driven system supporting 10,000+ concurrent video channels
SERVICES
INDUSTRY
Broadcasting
TECHNOLOGIES
OUTCOME
API-driven system supporting 10,000+ concurrent video channels
Proposed solutions
Designing modular streaming from the ground up
Scalable, containerized architecture for massive video streaming
We implemented a containerized, Docker-based architecture with built-in support for standard streaming protocols including RTSP, HLS, and WebRTC. The system featured an API-driven configuration layer for dynamic stream management and was architected for scalability, capable of supporting over 10,000 concurrent video channels.
For a closer look at how we approach scalability and re-streaming challenges, check out our article Recasting and recording system, which expands on the techniques and architecture that underpin this project.
Proposed solutions
Designing modular streaming from the ground up
Scalable, containerized architecture for massive video streaming
We implemented a containerized, Docker-based architecture with built-in support for standard streaming protocols including RTSP, HLS, and WebRTC. The system featured an API-driven configuration layer for dynamic stream management and was architected for scalability, capable of supporting over 10,000 concurrent video channels.
For a closer look at how we approach scalability and re-streaming challenges, check out our article Recasting and recording system, which expands on the techniques and architecture that underpin this project.