Hi,
I know this is quite impossible to diagnose from afar, but I came across the posting from lemmy.world admins talking about the attacks they are facing where the database will get overwhelmed and the server doesn't respond anymore. And something similar seemed to have happened to my own servers.
Now, I'm running my own self-hosted Lemmy and Mastodon instances (on 2 seperate VPS) and had them become completely unresponsive yesterday. Mastodon and Lemmy both showed the "there is an internal/database error" message and my other services (Nextcloud and Synapse) didn't load or respond.
Login into my VPS console showed me that both servers ran at 100% CPU load since a couple of hours. I can't currently SSH into these servers, as I'm away for a couple of days and forgot to bring my private SSH key on my Laptop. So, for now I just switched the servers off.
Anyway, the main question is: what should I look at in troubleshooting when I'm back home? I'm a beginner in selfhosting and I run these instances just for myself and don't mind if I'd have to roll them back a couple days (I have backups). But I would like to learn from this and get better at running my own services.
For reference: I run everything in docker containers behind Nginx Proxy Manager as my reverse proxy. I have only ports 80, 443 and 22 open to the outside. I have fail2ban set up. The Mastodon and Lemmy instances are not open for registration and just have 2 users each (admin + my account).
Having followed many reports of denial of service activity of Lemmy, I don't think this is the common mode. Attacks I'd heard of involve:
Essentially the low-hanging fruit is low enough that distributed attacks, amplification, and attacks on bandwidth or the networking stack itself are just unnecessary. A WAF is still a good if indeed OPs instance is getting attacked, but I'd be surprised if wafs has built-in rules for lemmy yet. I somewhat suspect one would have to do the DB query analysis to identify slow queries and then write custom waf rules to rate limit the corresponding API calls. But it's worth noting that OP has provided no evidence of an attack. It's at least equally likely that they dos'ed themselves by running too many services on a crappy VPS and running out of ram. The place to start is probably basic capacity analysis.
Some recent sources: