I found this article hard to read; it felt like bulleted noted after watching a presentation and many of the statements lacked the context to back them up. The

I found this article hard to read; it felt like bulleted noted after watching a presentation and many of the statements lacked the context to back them up. The bottom line is that measuring performance is hard, and that you have to be aware that your measurement code and your metrics system have a high likelihood of misleading you if you don’t deeply understand how they work. As a side note, the author didn’t mention my favorite metrics pet peeve, that is the right hand cliff. Often systems will graph a 0 while waiting for a metrics bucket to fill, as when you are aggregating counts over time intervals. This can result in your metric appearing to drop off a cliff in the very recent past.