Let’s build your WebRTC web, mobile, or Voice AI application! You’ve decided to build a real-time communications application. Now what? Building a live video application is not as simple as it appears, even with the many APIs out there now. How will you develop, design, deploy, scale
You’ve got your WebRTC application ready. Now what? Once your WebRTC or Voice AI application is built and tested, the hard work is not over. Your DevOps strategy for deploying, monitoring, and managing your application’s performance will either become a strategic asset to your organization, or the
Peermetrics is WebRTC.ventures’ open-source WebRTC monitoring stack. Earlier this year, a client pushed it to a scale that stress-tested assumptions you can’t easily replicate in development: thousands of video conferences a day totaling over a million events. That traffic surfaced things that only show up at volume.
When something breaks in a real-time application, users know immediately. There’s no grace period, no hiding behind a loading spinner. Voice, video, chat, and live data platforms demand a higher standard of maintenance and support than traditional web applications. The model you choose to deliver that support
