"Has anyone ran benchmarks with MySQL or PostgreSQL in an environment that sees 35,000 requests a second? IO contention becomes a huge issue when your stack needs to serve that many requests simultaneously."
my answer to this point is that IO contention can be vastly reduced in MySQL (and probably even better handled in Postgres, I bet) with some tweaking of settings and lots of memory. Memory is pretty cheap these days, so stuffing a server full of RAM is really not a bad option.
"Has anyone ran benchmarks with MySQL or PostgreSQL in an environment that sees 35,000 requests a second? IO contention becomes a huge issue when your stack needs to serve that many requests simultaneously."
my answer to this point is that IO contention can be vastly reduced in MySQL (and probably even better handled in Postgres, I bet) with some tweaking of settings and lots of memory. Memory is pretty cheap these days, so stuffing a server full of RAM is really not a bad option.