How Many Users Can a 1 vCPU 2GB RAM Server Handle? | The CyberSec Guru
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We stress-tested a 1 vCPU, 2GB RAM VPS running Nginx, Node.js and PostgreSQL. See the 2,500-user limit, CPU bottleneck and caching results

I put together a practical breakdown of how many users a small 1 vCPU + 2 GB RAM server can realistically handle. The answer isn’t simply “X users” because it depends heavily on the workload, application stack, caching, database usage, concurrent requests, and whether you’re serving static or dynamic content. For anyone running small self-hosted services or websites on inexpensive VPS instances, this may be useful

  • IsoKiero@sopuli.xyzEnglish
    2·
    3 hours ago

    Just for comparison, my VPS server has ~20 active email boxes (postfix,dovecot,spamassassin,clamav), a few small-ish active wordpress sites (apahce,php-fpm,mariadb), radicale and some other smaller services running with 2 cores and 4GB RAM and it’s mostly just fine. Occasionally, specially during heavier updates on wordpress-sites, memory tends to get pretty full, but it’s still just fine. Tweaking memory cache for php (or running something else than php) would increase performance by a lot, but even without optimization the 5€/month VPS is quite capable to keep your internet presence around and on your own hands.

  • CallMeAl (like Alan)@piefed.zipEnglish
    25·
    13 hours ago

    Its the wrong question. workload matters far more than number of users.

    1 user can be too many or 1000 just fine, depending on workload.

    • UnLocoPoco@lemmy.worldOPEnglish
      2·
      13 hours ago

      That’s tru that’s why took kinda average one cuz far more users can be served a static html cached page compared to something dynamic which involves db. Nginx caching is a beast

  • ExLisperAEnglish
    12·
    12 hours ago

    Surprisingly, the answer is “it depends”.

  • ifGoingToCrashDont@lemmy.worldEnglish
    2·
    12 hours ago

    Great work! Enjoyable read. I’ve always thought those basic droplets would choke as soon as any significant traffic began to scale up, but this shows it can stretch pretty far.

    The only real issue here is that the tests assume applications are receiving legitimate human visits, but we know something like 90% of all traffic are bots and scrapers. Serving 4000 actual users would be significant, because the application could be serving more like 40,000 other requests from bots in that case. That’s why we’re inclined to not launch apps without implementing advanced caching and CDNs.