Performance engineering, profilers, and seeing the invisible

Suppose we have a large collection of documents, and we wish you identify which documents are approximately the same as each other. For instance, we may have crawled the web over some period of time, and expect to have fetched the “same page” several times, but to see slight differences in metadata, or that we have several revisions of a page...

I worked at Stripe for about seven years, from 2012 to 2019. Over that time, I used and contributed to many generations of Stripe’s developer environment – the tools that engineers used daily to write and test code. I think Stripe did a pretty good job designing and building that developer experience, and since leaving, I’ve found myself...

This December, the imp of the perverse struck me, and I decided to see how many days of Advent of Code I could do purely in compile-time C++ metaprogramming. As of this writing, I’ve done two days, and I’m not sure I’ll make it any further. However, that’s one more day than I planned to do as of yesterday, which is in turn further than I thought...

I have spent many years as an software engineer who was a total outsider to machine-learning, but with some curiosity and occasional peripheral interactions with it. During this time, a recurring theme for me was horror (and, to be honest, disdain) every time I encountered the widespread usage of Python pickle in the Python ML ecosystem. In...

Suppose we’ve got a service. We’ll gloss over the details for now, but let’s stipulate that it accepts requests from the outside world, and takes some action in response. Maybe those requests are HTTP requests, or RPCs, or just incoming packets to be routed at the network layer. We can get more specific later. What can we say about its...