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Lemmy.world updated to 0.18.1-rc (lemmy.world)

submitted 1 year ago* (last edited 1 year ago) by [email protected] to c/[email protected]

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Looks like it works.

Edit still see some performance issues. Needs more troubleshooting

Update: Registrations re-opened We encountered a bug where people could not log in, see https://github.com/LemmyNet/lemmy/issues/3422#issuecomment-1616112264 . As a workaround we opened registrations.

Thanks

First of all, I would like to thank the Lemmy.world team and the 2 admins of other servers @[email protected] and @[email protected] for their help! We did some thorough troubleshooting to get this working!

The upgrade

The upgrade itself isn't too hard. Create a backup, and then change the image names in the docker-compose.yml and restart.

But, like the first 2 tries, after a few minutes the site started getting slow until it stopped responding. Then the troubleshooting started.

The solutions

What I had noticed previously, is that the lemmy container could reach around 1500% CPU usage, above that the site got slow. Which is weird, because the server has 64 threads, so 6400% should be the max. So we tried what @[email protected] had suggested before: we created extra lemmy containers to spread the load. (And extra lemmy-ui containers). And used nginx to load balance between them.

Et voilà. That seems to work.

Also, as suggested by him, we start the lemmy containers with the scheduler disabled, and have 1 extra lemmy running with the scheduler enabled, unused for other stuff.

There will be room for improvement, and probably new bugs, but we're very happy lemmy.world is now at 0.18.1-rc. This fixes a lot of bugs.

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[–] [email protected] 5 points 1 year ago* (last edited 1 year ago)

Have you considered running your Lemmy instance on more than a single machine? If it is possible to run two lemmy containers anyway (ie, lemmy is not a singleton), why not run them on separate machines? With load balancing you could achieve a more stable experience. It might be cheaper to have many mediocre machines rather than a single powerful one too, as well as more sustainable long-term (vertical vs horizontal scaling).

The downside would be that the set-up would be less obvious than with Docker compose and you would probably need to get into k8s/k3s/nomad territory in order to orchestrate a proper fleet.