My post is aimed first and foremost at the Openstack community. Openstack is a large series of CRUD-based applications that don't run any stored procedures or

My post is aimed first and foremost at the Openstack community. Openstack is a large series of CRUD-based applications that don't run any stored procedures or business logic on the database. As to whether or not the "majority" of business apps are stored procedure oriented is very questionable, I've worked for years in finance and while I worked on stored procedure applications for sure, most apps were definitely just CRUD-based apps. The vast majority of apps we see for example in Django or Pyramid are most definitely CRUD based apps. Also, I use Pypy a lot, and at best I get about a 40-50% speedup. If we factor that into the profiling where I'm showing IO taking up about 5% of the time, that still produces an application that is very much CPU bound. If there's any point to take from the post, its the historical underpinnings of non-blocking IO, that we use it to poll a bunch of sleeping connections, where we have hundreds or thousands of them. It was never intended to be used on a small set of database connections and I think even if the database calls are slow, it will be very seldom that you'd see asynchronous context switching handling concurrency better than native threads.