Jitsi Videobridge

Jitsi Videobridge is an open-source WebRTC Selective Forwarding Unit (SFU) that routes media streams between participants to enable scalable multiparty video conferencing. It is a core backend component of the Jitsi Meet stack and is designed for high scalability and low CPU overhead. (jitsi.org)

Key Features

• Selective Forwarding Unit (SFU) architecture: forwards participant streams rather than mixing, improving quality and scalability for many-participant conferences. (jitsi.org)
• WebRTC-native media support: handles RTP/RTCP streams, common codecs, and NAT traversal (ICE/STUN/TURN) with secure transport via DTLS/SRTP. (jitsi.org)
• Control APIs: supports Colibri XMPP control as well as HTTPS/REST control endpoints for orchestration, load balancing, and automation. (jitsi.org)
• Observability: exports operational statistics and Prometheus-format metrics (private HTTP /metrics endpoint) plus JSON and XMPP-stat reports for monitoring and autoscaling. (forger.sitiv.fr)
• Implementation & build: primarily Kotlin and Java codebase, built with Maven and running on the JVM. (github.com)
• Deployment options: packaged for Debian/Ubuntu, runnable locally via Maven, and commonly deployed in containerized or multi-node topologies for capacity. (github.com)

Use Cases

• Powering large-scale multiparty video conferencing (used by Jitsi Meet) where many participants join without per-stream server mixing. (jitsi.github.io)
• Backend media routing for webinar platforms, remote education, telehealth, and enterprise meeting services requiring scalable, low-latency forwarding.
• Integrating into custom WebRTC applications that need a flexible SFU with XMPP or REST control and observability hooks. (jitsi.org)

Limitations and Considerations

• No server-side mixing/transcoding: Videobridge forwards streams (SFU) rather than acting as an MCU; server-side transcoding requires separate components or external transcoders. (jitsi.org)
• Prometheus coverage is substantial but not every internal metric is exposed in Prometheus format; some monitoring workflows rely on auxiliary exporters or the JSON/stats endpoints. (forger.sitiv.fr)
• Performance and capacity depend on network, codec choices, and server sizing; achieving maximum concurrent streams requires tuning (heap, GC, networking) and appropriate deployment topologies. (github.com)

Jitsi Videobridge is a mature, open-source SFU for teams and developers who need scalable WebRTC media routing with XMPP/REST control and production monitoring. It is widely used in the Jitsi ecosystem and can be integrated into custom conferencing solutions or deployed as part of a larger real-time communications stack. (jitsi.org)