Hey folks - slightly different piece today - trying to get away from investor/fundraising posts as of late. Would love your thoughts/comments/questions. I'll check in a couple times over the course of the day.

great explanation by the Postgres crew.

it makes me wonder, though: if I had a table with 50k rows, updated hundreds of times per second and used in joins throughout the database, is there any way I can just stick that whole table into memcached or redis? I know there are some cases where this works, some where it doesn't. curious if this option was explored.

Sorry, CPython is much easier to hack on than PyPy. To start with, for every change you do recompilation takes 4GB of memory and half an hour to complete.

This is a rather slow feedback cycle.

Secondly, while the syntax of RPython may be clean the necessary incantations to actually achieve something aren't at all obvious.