Processes running on the BEAM virtual machine share data through message passing. If certain processes receive more messages than they can handle, their inbox queue starts growing. Over time it can lead to bottlenecks. Similarly distributed systems share data through network packets sent between nodes and in some cases it can lead to network congestions. Gaining visibility into message passing and network traffic is of great importance as it helps to understand the behaviour of the entire system.
During this talk we will explore the behaviour of two systems under load - one based on Erlang (MongooseIM) and one based on Elixir (Phoenix Channels). We will demonstrate the erlang.pl tool and observe if its graphical representation of processes and clustering can help us learn something about the characteristics of the two systems.
Videos used in the presentation:
Phoenix Channels cluster view - https://www.youtube.com/watch?v=ybnQ0rre1Jc
Phoenix Channels node view - https://www.youtube.com/watch?v=ZD5WwGsBA7Q
MongooseIM cluster view - https://www.youtube.com/watch?v=BIbLOVNKZYw