• klieg2323
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    1 year ago

    Everything is faster. For the most part, your local instance will download posts and comments for any community you (or anyone else on your instance) is subscribed to. So when you log in, you log into your server and browse the content locally (posts from everywhere) while your server in the background constantly is receiving updates through the ActivityPub protocol.

    I literally have no delay in using Lemmy in any way.

      • klieg2323
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        1 year ago

        The “all” stream would be all of the posts from the combined subs of the users on the instance. So if there’s a community nobody is subscribed to, it won’t appear on all. This is true of all instances. Many smaller ones will employ bots to crawl Lemmy and sub to communities to give the large instance “all” feeling.

        That being said, yeah it’s all preloaded onto your local server. There is no difference in speed. Doesn’t matter if it’s active/subed or new/all they all load the same

        I’d highly encourage everyone to find smaller instances and leave lemmy.world for the immediate expats. Find something that aligns with your values. Or if you are technically literate enough host your own instance. If you have an old desktop computer you’ve already got everything you need.

        • @winterayars
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          51 year ago

          I should probably build an instance on my little home server. Is there a guide for that somewhere?

        • @whyNotSquirrel
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          21 year ago

          How many communities you subscribed and after two weeks how much data does it represents on your storage ?

          • ShittyKopper [old]
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            41 year ago

            Not OP but I can answer with my own stats:

            In just a week, With BTRFS compression (compress-force=zstd:3) & deduplication (via bees), media is at about 1GB (and I am subscribed to media-heavy communities like 196) and the postgres DB is at about 550MB (which is also currently shared with Matrix Dendrite)

            At “idle” (as you can be while being connected to ActivityPub & Matrix), the immediate CPU and RAM usage breakdown per container is:

            NAME        CPU %       MEM USAGE / LIMIT  MEM %       NET IO             BLOCK IO           PIDS        CPU TIME         AVG CPU %
            pict-rs     0.20%       18.92MB / 4.005GB  0.47%       3.319GB / 1.105GB  17.58GB / 3.239GB  13          1h16m57.232828s  0.59%
            crowdsec    1.39%       44.23MB / 4.005GB  1.10%       106.4MB / 23.46MB  25.53GB / 486.7MB  11          45m28.744419s    1.95%
            caddy       0.63%       73.06MB / 4.005GB  1.82%       1.675GB / 1.977GB  3.322GB / 720MB    10          21m9.94572s      0.90%
            dendrite    1.58%       197.7MB / 4.005GB  4.94%       912.8MB / 2.33GB   8.718GB / 4.761GB  12          53m26.302022s    1.43%
            postgres    5.33%       82.51MB / 4.005GB  2.06%       56.22GB / 7.961GB  20.92GB / 295.7GB  23          8h20m28.078567s  2.86%
            lemmy-ui    0.00%       48.71MB / 4.005GB  1.22%       3.491GB / 5.961GB  3.603GB / 5.267GB  12          31m35.884936s    0.24%
            lemmy-be    2.82%       29.01MB / 4.005GB  0.72%       16.45GB / 57.85GB  7.966GB / 6.439GB  6           3h6m34.633508s   1.42%
            

            Net IO you shouldn’t really care about as that includes inter-container networking. I’m trying to find how much outgoing data have been transferred but because the month just ended I have no idea how accurate the numbers are.

            • @whyNotSquirrel
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              11 year ago

              thanks, data storage was one of my fear, still have to check how to secure it properly as I’ll expose my network more publicly than with other tools i’m the only one to use

          • @[email protected]
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            11 year ago

            On my instance we’ve got about 100 communities subscribed to. Started it first week of June, since then the instance is up to a little over 4 GB of disk space. YMMV depending on instance size.

        • Flare @ kya.moe
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          21 year ago

          I do that on my own instance too :D, private and small instances are really the way to go!