Previously in this series, I looked at ways we can instrument our code with two of the most basic metrics; how often does our code run and how long does it take to execute? After settling on interception, we took a small detour and looked at how hard it is …

Last time we evaluated a number of ways to add instrumentation to your code while keeping your code maintainable and legible. We landed on using interception and the cliffhanger question from last time was: what’s the overhead? Is it fast enough? In this post, we will start looking at …

Recently I was tasked with adding instrumentation to a project: measuring how often methods were being called and how long each execution took. I had a couple of options.