

Set up split tunneling for your torrenting program only.
Set up split tunneling for your torrenting program only.
Fuck around with proprietary software and find out.
Let’s get Radicale!
Holy crap, you’re me. Except I plan on using slidge-whatsapp.
MPD and whatever terminal MPD client you like.
So many answers!!
First it was from planets from Ursula Le Guin’s Hainish cycle.
Now it’s the names of birds visiting my feeder: chickadee, titmouse, mockingbird, etc.
Didn’t know about ENA mirroring. Thanks! I’m tickled by the idea that all the paywalled journals are not backed up. If we ever have a planet wide catastrophe, we’ll have to rebuild using the open articles only!
Porcoolpine from SimplyNuc. That product line is fanless which is key for me in the HTPC environment with a flat screen. In the “home theatre” I have a projector with a fan so it doesn’t matter.
That’s a lot of data to be archiving! What’s the archiving action responsible for this, or what group? I work with SRA and GEO daily for work, so this is interesting to see on lemmy.
It uses the Calibre database but isn’t a frontend per se.
Thanks for clearing that up.
As far as I’m aware, Calibre-Web serves are web front-end for calibre. I think you might have to install plugins manually on the desktop version, but it should be active when importing a book over the Calibre-web, especially DeDRM.
Fascinating! Where do you order the lenses? I’m in the US and I can’t find a place that is cheaper then Zenni where I can get my lenses and frames for <$20.
btrfs
or zfs
send/receive. Harder to do if already established, but by far the most elegant, especially with atomic snapshots to allow versioning without duplicate data.
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And enables modular workflows and flexiblity.
I wonder how well it supports Debian, etc.
I wouldn’t think so. 5400 rpm drives might last longer if we’re specifically thinking about mechanical wear. My main takeaway is that WDC has the best. I would use the largest number available which is the final chart which you also point out. One thing which others have also pointed out that there is no metadata included with these results. For example the location of different drives, i.e. rack and server-room specific data. These would control for temperature, vibration and other potential confounders. Also likely that as new servers are brought online, different SKUs are being bought in groups, i.e. all 10 TB Seagate Ironwolf. I don’t know why they haven’t tried to use linear or simple machine learning models to try to provide some explanatory information to this data, but nevertheless I am deeply appreciative that this data is available at all.
Do one thing and do it well…or compete with one of the largest computing firms in the world to develop a 💩version of commercial software. Captivating…