Autoscaling is often treated as the gold standard for cloud efficiency. With a few lines of configuration, you can tune your infrastructure to match traffic in real-time, saving money while keeping your app solid under load. But with Real-Time Communication (RTC) apps, the rules change. Whether you’re
TURN servers remain one of the most common points of confusion in WebRTC applications. While STUN and TURN servers both play critical roles in establishing WebRTC peer connections, teams new to WebRTC development often struggle to understand their differences and implementation details. Even experienced developers may overlook
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
Monitoring call quality in a WebRTC application is harder than it looks. You need consistent telemetry, enough context to interpret what you’re seeing, and dashboards that are actually useful when something goes wrong in production. This post covers how we integrated Peermetrics into an Amazon IVS Real-Time
