Kubernetes is an ideal platform for deploying web applications, but lacks some features needed to support real-time media applications. For example media production requires minimal loss and jitter when forwarding multi-gigabit media streams between different stages of the media ingest pipeline. Likewise edge video deployments often require each camera feed to be replicated to multiple real-time machine learning applications. In this presentation, we will look at current technologies that exist inside of K8s and how they lack support for Real Time Media. We will then look at a potential solution to this problem with Media Streaming Mesh. Media Streaming Mesh is an open-source project that addresses these use cases in a cloud-native fashion by deploying real-time media proxies to each Kubernetes node, with a per-cluster control plane ensuring that camera feeds, real-time micro-services, and external viewers are meshed together through the proxies. In this presentation Chris will give an overview of Media Streaming Mesh and how it can be used to distribute a video feed to multiple downstream applications in a Kubernetes cluster.
