Haskell in the Datacentre December 8, 2016At Facebook we run Haskell on thousands of servers, together handling over a million requests per second. Obviously we’d like to make the most efficient use of hardware and get the most throughput per server that we can. So how do you tune a Haskell-based server to run well? Over the past few months we’ve been tuning our server to squeeze out as much performance as we can per machine, and this has involved changes throughout the stack. In this pos...
