This caught my eye as well, because the article talks about how big a pain it is to set up & maintain queuing servers, but then provides a solution that simply isn't as robust.
But to be honest, the fact that they open sourced all these libraries and present them front-and-center for anybody interested makes up for that. There isn't any magic going on -- just some straightforward code that leverages language/runtime-appropriate mechanisms to queue up the messages. Its pretty easy to figure out if the solution meets your performance needs when you can see the actual code being run.
Sure, its not as robust as a generalised queuing system, but it's web analytics - the driving reason for queuing is more about high performance than about guaranteed message delivery. Lightweight and _fast_ in-memory queues seem like a perfectly adequate solution fr the problem domain, while being (as claimed) significantly less of a pain to set up than "traditional" queuing techniques.
But to be honest, the fact that they open sourced all these libraries and present them front-and-center for anybody interested makes up for that. There isn't any magic going on -- just some straightforward code that leverages language/runtime-appropriate mechanisms to queue up the messages. Its pretty easy to figure out if the solution meets your performance needs when you can see the actual code being run.