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
For organizations prioritizing data privacy and zero variable cloud costs related to inference, it is entirely possible to build a voice agent using off-the-shelf open source tools. In this post, we will outline a practical Voice AI stack that avoids vendor lock-in while still supporting real-time, natural
This project shows how to prototype a real-time voice AI Android app using Gemini 2.0’s Live API over WebSockets as an open-source proof of concept before committing to full production infrastructure. By combining low-level audio control on Android, duplex audio streaming, and multimodal AI, we built an
Amazon Interactive Video Service Real-Time Streaming (Amazon IVS Real-Time) is a WebRTC-based service for low-latency interactive video applications like video conferencing and live collaboration. Unlike traditional CPaaS platforms that abstract away media handling with higher-level APIs, IVS Real-Time gives developers direct access to WebRTC primitives like MediaStreamTrack
