[wsargent]

> The second problem is to figure out if logging is affecting performance.

Spoiler -- it totally can. Kirk Pepperdine talks about logging as a memory allocation bottleneck [1]

So I gave my usual logging rant at a workshop that I gave. I was in the Netherlands about a year or so ago. And that night, they went and stripped all the logging out of their transactional monitoring framework that they’re using, which wasn’t getting them the performance they wanted, which is why I was there giving the workshop in the first place. And when they stripped out all their logging, the throughput jumped by a factor of four. And they’re going like, “Oh, so now our performance problem not only went away, we’ve been tuning this thing so long that actually, when they got rid of the real problem, it went much faster than they needed, like twice as fast as what they needed to go.” – The Trouble with Memory

Unfortunately it can be kind of hard to track the memory allocation rate over time, and it's typically not the sort of thing you're focused on. I put together an audio queue that will play the memory allocation rate as a sine wave [2] so I can tell when it's getting to be a problem.

[1] https://www.infoq.com/presentations/jvm-60-memory/

[2] https://tersesystems.com/blog/2020/07/19/listening-to-jvm-me...