I read about many limitations if I will use GAE for web2py, nevertheless it will not stop me :-) I think that main issue is to properly use memcaches. Is it enought to use only cache.memcache and if yes what is the best way to use it? I plan to use it for sessions a for selected results stored as dict, because I don't want drain free quota on GAE to early. But is it enough? Current DAL layer for GAE (google:datastore) is based on db.Model but I think that some cache issues could be better solved if we will use ndb.Model. I tried to modify dal.py to support it like google:ndb, but I'm new in Python and I'm little bit shy to publish it because modification is not so purely written and fully tested :-) Do you have experience with that also?
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