Hi, I'm using web2py in a project that stands on top of a REST api. The project is write intensive (around 110k requests a day, with all the requests making at least 2 updates to the datastore). All my requests seems to uso at least 200 cpu_ms (even dummy requests that only places a item on the queue to be processeced later). Is this behaviour right? I used to get around 20 cpu_ms while using django with the same application (I'm currently re-writing it on web2py). Is there some way to optimize web2py for a appengine deploy (I already followed all the documentation)
Thanks! --
