So I spent the whole day optimizing bird.makeup and got about a 5x in performance. Things are starting to run better, seems we are iterating on all accounts within 4-5 hours right now. I have other ideas that will probably get another 3x that I want to implement tonight, so performance should be right on target.

Until more people sign up of course! 🙃

@vincent What are the system requirements, if any, for running your own instance?

My cloud server has 2 GB of RAM and it keeps running out of memory. I had to add a memory limit to the birdmakeup container in the docker-compose.yml file to keep the system stable (but now the container is killed/restarted every half hour or so).

When it works, performance is great though 😁​ Thanks so much for building this!

@smallsco Yeah, there is a memory leak somewhere... I'm hunting for it!

@vincent @smallsco

I just took a quick look at it (by the way: nice code). Three things potential things I found (no guarantees):

1. The used version of Newtonsoft has a potential memory leak: https://github.com/advisories/GHSA-5crp-9r3c-p9vr
2. MagicKey has a property `_rsa` which needs to be disposed. (there might be more)
3. Quite a few regex that might never complete.

I would need to actually run the application for my tools to find something, but maybe I'm lucky with the above.

@DevWouter @smallsco Thanks for the compliment! But the credit goes to @BirdsiteLIVE .

I think I figured it out. I took a memory dump, and noticed large allocation related to SQL queries. When I removed Dapper and used vanilla npgsql the problem when away. It's really not obvious to me what was happening there, but it might be related to your number 1