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(#376foda) @prologic Yeah all good! The only thing that was out of the ordinary I guess was that initial problem I had with the open registration flag not working, which I worked around. But if that’s the first you’ve ever heard of it, maybe it was something odd in my config/build.

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@eldersnake @prologic (#376foda) Whereas, had I have run Nextcloud on my RPi (PHP) it would be easily 500MB+ RAM LOL. That's why I run Nextcloud on a rented VPS. I'm pleased to say `yarnd` runs like a champ ;)

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(#376foda) @prologic Yeah all good! The only thing that was out of the ordinary I guess was that initial problem I had with the open registration flag not working, which I worked around. But if that's the first you've ever heard of it, maybe it was something odd in my config/build.

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@prologic (#376foda) Really good actually. See pic, resource usage barely registers. A clean initialized `yarnd` barely registers any memory usage at all (on my RPi that means hovering around 70MB RAM usage). With my feeds and everything loaded in, it jumps to about 120MB usage, but that's still nothing in the scheme of things.

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@movq (#376foda) Probably we're all hitting his PageKit rate limits. Pods are _very_ likely to blame here, without some smarter fetching algorithms to back off when there hasn't been an update in a while, this will be problematic. I _should_ work on this. I'm getting to a point where I _think_ I can maybe come up with a smarter global feed cache with better per-feed fetch cycles that back off to a maximum and fetch more often for more active feeds. Just need time/bandwidth to do this 🤗

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