kbin.social was the first thing on the recommended list.

  • lohrun@fediverse.boo
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    1 year ago

    On average, it looks to be less than 2gb of ram at the moment. CPU and RAM usage obviously will go up as I have more users, but it’s not bad at all at the moment. I’ve been pleasantly surprised tbh. I am also completely prepared to scale the server up if I get more users on my instance.

    Edit: just a follow up, looks like I can scale my instance to a maximum two ways,
    “cpu optimized” up to 48 vCPU and 96gb of ram
    “Memory optimized” up to 32 vCPU and 256gb of ram

    I’m a long way off of the max though now, my server is only 2 vCPU and 4gb memory for now

    • bdonvr@thelemmy.club
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      1 year ago

      I’m running a lemmy instance and using about 700mb, up from 500mb before I had any users (though I have maybe a dozen active users lmao)

      But I’m not using much CPU at all though. 5% average on a 2core VPS VM. 4 gigs as well. I can scale up a bit and still afford it personally. After that Ill have to ask for donations, and if not enough stop registration.

      • lohrun@fediverse.boo
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        1 year ago

        The scaling is from my cloud provider, hopefully I won’t have to scale up to the max (looks like it’d be like $1300/mo)

        700mb of ram isn’t bad at all. Yeah I’m using like 30% cpu on a 2 core right now. Kbin definitely uses more resources than lemmy but I think it has a lot more going on in the tech stack

          • lohrun@fediverse.boo
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            1 year ago

            Yeah if my instance got busy enough that would be something to definitely consider. I’m using DigitalOcean over something like AWS as well. I wouldn’t want to run it out of my home off of my own network though which is why VPS providers are nice (plus I have all my DNS rules set up through it)

    • stevecrox@kbin.social
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      1 year ago

      Looking at the recent Docker Compose commits, kbin should scale horizontally until it hits limits of postgres.

      Its a really good candidate for kubernetes, if you deploy on AWS/Azure and use AKS/EKS with Azure Database/RDS you will be able to flexibly scale far beyond those limits.

      I have been meaning to learn Helm for ages. This seems a good excuse.