I’ve been doing Internet measurement things for about 25 years now, which seems like a long time, but the Internet just keeps getting bigger and more complicated. At this point I’m pretty sure it’s going to outrun me.

In the 1990s, I worked in high performance computing (think: supercomputers, parallel programming languages and their compilers) and discrete-event simulation, which is where a lot of the original Renesys ideas for studying Internet data at large scale had their roots. My Google Scholar collects some of this early work.

From 2000 onward, I worked with the incredibly smart team at Renesys, later to become Dyn Research and then Oracle Internet Intelligence. I’ve recently gathered a set of presentations from those years.

In 2016 I decided to step away from Internet measurement for a few years to work on data challenges in quantitative finance, as a founder at DeepMacro. The original intent was just to clear my head for a bit, but as it turns out, there are some really interesting measurement and modeling challenges in the global macroeconomy.

Still, my first love is Internet measurement, and I spent much of 2022 with the Internet Society as a volunteer resident advisor, having a lot of Rip van Winkle moments, hearing about how much (and how little) the Internet infrastructure has changed in the years since I stepped away from the day-to-day.

So, pull up a chair, it’s time for more data stories.