We measure the deploy time to hundreds of servers and if it gets too slow (more than 30-60 seconds) we figure out a new way to optimize it. In that short rapid iteration environment the most important thing isn't necessarily how perfect code is when you send it out, but how quickly you can revert if you need to so the cost of a mistake is really low, under a minute of brokenness.