The real challenge with dynamically scaling a media delivery platform is managing high concurrency when conferences or stream viewership peaks and eventually subsides.
Let us consider, for example, the number of concurrent users ranging between 100-1,000 across 10-100 conferences. It would be a good idea to auto-scale the number of active media server instances based on usage to save a significant amount of cost and resources.
Jitsi’s architecture allows for dynamic scaling in real-time. In addition to being powerful and optimized, JVBs are built to scale, which make them more dynamic for media transport.
Let us consider, for example, the number of concurrent users ranging between 100-1,000 across 10-100 conferences. It would be a good idea to auto-scale the number of active media server instances based on usage to save a significant amount of cost and resources.
Jitsi’s architecture allows for dynamic scaling in real-time. In addition to being powerful and optimized, JVBs are built to scale, which make them more dynamic for media transport.