A place to discuss privacy and freedom in the digital world.
Privacy has become a very important issue in modern society, with companies and governments constantly abusing their power, more and more people are waking up to the importance of digital privacy.
In this community everyone is welcome to post links and discuss topics related to privacy.
Some Rules
- Posting a link to a website containing tracking isn’t great, if contents of the website are behind a paywall maybe copy them into the post
- Don’t promote proprietary software
- Try to keep things on topic
- If you have a question, please try searching for previous discussions, maybe it has already been answered
- Reposts are fine, but should have at least a couple of weeks in between so that the post can reach a new audience
- Be nice :)
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much thanks to @gary_host_laptop for the logo design :)
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Interesting, my instance has been rock solid. When did you give it a try?
It was probably about a year ago now, so I probably should spin it up again. I think I’ll do that today.
How much RAM does yours use?
I’m mobile for the holiday right now, I’m not 100% sure on utilization. But it’s running on a 2 core 4 GB Ubuntu machine along with Caddy and Redis. I also have a Lemmy instance on that same machine so Lemmy, Lemmy-UI, Postgres, and pictr all fit on that machine and work for my daily use.
I can get exact utilization later tonight.
I guess it is the largest consumer of memory. Unfortunately I rebooted yesterday, while setting up lemmy I noticed there was a decent amount of OS security updates. Otherwise I probably would have had stats from like 6 months of uptime. I’ll keep an eye on it and see if it balloons.
Thanks for reporting back on it.
Yeah, even that, I just don’t understand why a search engine, sitting idle, consumes that much memory. The largest consumers of memory for me are: Omada Controller, Airsonic-Advanced, HomeAssistant, Lidarr, Sonarr, Paperless… all things that process a lot of data, or are written in Java, so it’s to be expected they use more resources.
Then I would see it grow to 600MB+ and occasionally crash, so I just decided to use public instances.