I just finished training a neural network to play a trick taking card game and just the neural network is 4,250 times the size of the ROM for Video Chess and the executable including the UI is even bigger.
True story: One time I was at a party and my parents introduced me to some friends of theirs and they said their son worked on graphics drivers. I said I couldn't handle low-level work like that. My parents glared at me and told me I was being rude. Once I figured out the disconnect I explained that low-level means closer to the CPU and it's much more complicated - not that it's less desirable work.
I accidentally revealed the solution after running the .schema command (the solution is in the trigger code on that table). ️ Might be a record though - I got the answer in only a few seconds.
https://github.com/dbravender/gitric (which I wrote) is a much more generic fabric module that will work for more cases. It looks like this particular solution only works because the database query was copied to the web server which might not work for everyone. Check out the sample blue/green deployment fab file here: https://github.com/dbravender/gitric/blob/master/bluegreen-e.... We used the same technique at my last job on a Django site and deployed it several times a day for two and a half years with zero downtime.