Scaling with Alibaba

In this document, we’re going to explain how to setup a Scalable Ant Media Server Cluster in Alibaba.

Here below is the diagram about how Ant Media Server is architecturized within Alibaba.

Lets start with brief definitions

• MongoDB Database Server: Ant Media Server uses MongoDB in clustering. Streams information are saved to MongoDB so that edge instances can learn any stream’s origin node.
• Load Balancer: LB is the entrance point for the publishers and players. Load Balancer accepts the requests from publishers or players and forwards the requests to the available node in the cluster.
• Origin Auto-Scalable Group: Nodes(Instances) in the origin group accepts the publish requests and ingest the incoming WebRTC stream. When an origin instance accepts a WebRTC stream, it saves the related information to the MongoDB Database Server. There may be one node or multiple node in origin group. It may even be manually or auto scalable. In our deployment, it’s auto-scalable in Alibaba.
• Edge Auto-Scalable Group: Node(Instances) in the edge group accepts the play requests. Then it learns from MongoDB which origin node has the related stream. After that it gets the stream from related origin node and sends the stream to the player.

Then continue with installing MongoDB Server