This post details some of the many challenges that a QA tester faces on a daily basis when testing WebRTC applications. And, in response, the best practices our QA team has developed for testing live video applications.
DevOps Engineer Brian Collins takes a look at how we utilize AWS tools to create a pool of WebRTC media servers that can be scaled on-demand, based on your live video application logic and user load.
A code example for automating configuration for WebRTC. Hector shows us how to provision two EC2 instances: one running the Janus WebRTC Server and the other one running coturn.
The process of putting together the infrastructure behind a WebRTC application is complex, involving multiple tasks to be completed with often limited resources. Automation reduces the time and efforts spent on provisioning and configuration, which in turn will allow more focus on the features that will set the solution apart from the others.
