Another day, another update.
More troubleshooting was done today. What did we do:
- Yesterday evening @phiresky@[email protected] did some SQL troubleshooting with some of the lemmy.world admins. After that, phiresky submitted some PRs to github.
- @[email protected] created a docker image containing 3PR’s: Disable retry queue, Get follower Inbox Fix, Admin Index Fix
- We started using this image, and saw a big drop in CPU usage and disk load.
- We saw thousands of errors per minute in the nginx log for old clients trying to access the websockets (which were removed in 0.18), so we added a
return 404in nginx conf for/api/v3/ws. - We updated lemmy-ui from RC7 to RC10 which fixed a lot, among which the issue with replying to DMs
- We found that the many 502-errors were caused by an issue in Lemmy/markdown-it.actix or whatever, causing nginx to temporarily mark an upstream to be dead. As a workaround we can either 1.) Only use 1 container or 2.) set
proxy_next_upstream timeout;max_fails=5in nginx.
Currently we’re running with 1 lemmy container, so the 502-errors are completely gone so far, and because of the fixes in the Lemmy code everything seems to be running smooth. If needed we could spin up a second lemmy container using the proxy_next_upstream timeout;max_fails=5 workaround but for now it seems to hold with 1.
Thanks to @[email protected] , @[email protected] , @[email protected], @[email protected] , @[email protected] , @[email protected] for their help!
And not to forget, thanks to @[email protected] and @[email protected] for their continuing hard work on Lemmy!
And thank you all for your patience, we’ll keep working on it!
Oh, and as bonus, an image (thanks Phiresky!) of the change in bandwidth after implementing the new Lemmy docker image with the PRs.
Edit So as soon as the US folks wake up (hi!) we seem to need the second Lemmy container for performance. So that’s now started, and I noticed the proxy_next_upstream timeout setting didn’t work (or I didn’t set it properly) so I used max_fails=5 for each upstream, that does actually work.
They would all have to share a database, although I don’t see why there would be any issues.
The database software they’re using can fairly comfortably handle multiple changes at once, although it might get a bit funny if a user is split between multiple instances.
Usually in such cases you would need sticky sessions, i.e. a user always stays at the same frontend.
If you want to get really fancy, could do some distributed session management with something like redis. Though the underlying application needs to be abstracted out already to allow for it.