I am in a unique situation of having a 24 core box with 64GB's of RAM as a Splunk Search head. Giving the nature of how Python's threading works, , has anyone converted the default CherryPy configuration to use processes instead of threads. In the past, with other Python web frameworks, I have used mod_wsgi with Apache prefork or MPM to accomplish this.
In looking through the CherryPy documentation, you can't disable all threading, but it appears reasonable to fork all requests, or use the multiprocessing module to create a process pool that requests talk to. Of course, another way to really verify what is going on, is to use a mod_wsgi monitoring middleware to time the whole request and response cycle. I am somewhat skeptical, given reading through Python core's bug report on threading, that things are always obvious with threading, even with only I/O bound requests.
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