Self-hosting a voice AI pipeline gives you control that managed APIs can’t offer: you choose the models, you decide where they run relative to each other, and you keep audio data within your own infrastructure. Getting there means managing GPU workloads, model placement, and service networking yourself.
AWS autoscaling works well for stateless applications. And for the stateless components of VoIP and real-time systems like APIs and routing backends, AWS Auto Scaling groups (ASGs) and Amazon Elastic Container Service (ECS) do exactly what they’re designed to do. But stateful VoIP infrastructure components like FreeSWITCH
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
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
