Scaling is just one type of optimization, right? So, one should really focus on getting a system working first and then use data to surgically scale the real bo

Scaling is just one type of optimization, right? So, one should really focus on getting a system working first and then use data to surgically scale the real bottlenecks (back-of-envelope calculation to identify scaling bottlenecks early on falls into the general category of using data to drive optimization).