Well done on a good introductory article.
From my point of view, what's really important is that R and RStudio now offer a comprehensive suite of statistical tools that can be tied with SQL data without having to fork out the kind of budgets normally associated with something like SAS. It now, as you rightly point out, makes proper statistical analysis feasible in areas that were previously financially prohibitive. That includes analysing server stats, but let's not forget that whole tranches of user applications are now becoming worthwhile.
Obviously, if you want to get the most out of this kind of functionality, employing someone with a good solid statistical understanding is sensible, and that doesn't necessarily mean someone who works in IT. Nonetheless, predefined data mining algorithms are still viable for known standard processes such as this article has outlined. What a quantum leap from Perfmon, a bit of googling and some guesses based on instinct.
Semper in excretia, sumus solum profundum variat