this post was submitted on 10 Oct 2023
13 points (84.2% liked)

Selfhosted

40437 readers
630 users here now

A place to share alternatives to popular online services that can be self-hosted without giving up privacy or locking you into a service you don't control.

Rules:

  1. Be civil: we're here to support and learn from one another. Insults won't be tolerated. Flame wars are frowned upon.

  2. No spam posting.

  3. Posts have to be centered around self-hosting. There are other communities for discussing hardware or home computing. If it's not obvious why your post topic revolves around selfhosting, please include details to make it clear.

  4. Don't duplicate the full text of your blog or github here. Just post the link for folks to click.

  5. Submission headline should match the article title (don’t cherry-pick information from the title to fit your agenda).

  6. No trolling.

Resources:

Any issues on the community? Report it using the report flag.

Questions? DM the mods!

founded 2 years ago
MODERATORS
 

I've noticed that sometimes when a particular VM/ service is having issues, they all seem to hang. For example, I have a VM hosting my DNS (pihole) and another hosting my media server (jellyfin). If Jellyfin crashes for some reason, my internet in the entire house also goes down because it seems DNS is unable to be reached for a minute or so while the Jellyfin VM recovers.

Is this expected, and is there a way to prevent it?

you are viewing a single comment's thread
view the rest of the comments
[–] manwichmakesameal -3 points 1 year ago (1 children)

Why are you running full VMs for something that can be put in a container? Sounds to me (without having any evidence or proof) that you’re running out of memory and you’re swapping and it’s taking forever. That’s what causes the VMs to slow/stop.

[–] root 3 points 1 year ago

I typically prefer VM's just because I can change the kernel as I please (containers such as LXC will use the host kernel). I know it's overkill, but I have the storage/ memory to spare. Typically I'm at about 80% (memory) utilization under full load.