this post was submitted on 11 Jun 2023
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It is an old programming trope that premature optimization is a waste of time. As Lemmy scales, several bottlenecks will be hit. Some might be predictable, but many will only become evident after crossing a specific threshold. There are a lot of guides for scaling Mastodon servers after hitting certain bottlenecks, but this is all uncharted territory for Lemmy and we're going to find out the fun way.
Real devs do it in prod!
Iβm seriously tempted to write some performance tests in jmeter, locust, or k6, and fire up some live traffic simulations / simulated load against my lemmy instance to see what happens. But at the same time that would feel too much like work and I donβt want to work over the weekend.
Sounds like a great github issue though that we can fund via bountysource or someone with more free time can take a look. Mind creating it?
For an example of a problem that will only come up once it's popular enough, I think hexbear has found that when comment threads get too long (like 800+ nested comments), lemmy starts to break