• dreadedsemi@lemmy.world
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    1 year ago

    I remember reading comments on how the site still fine after firing so many people. “What do they do”.

    • Luca@lemmy.world
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      1 year ago

      People fail to understand that large projects have inertia. He could have shuttered all twitter offices, fired all employees, and only paid the server bills, and the website would probably continue to function just fine for a few months.

      But as a devops/SRE, this whole saga has been awesome to watch

      • zalack@kbin.social
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        1 year ago

        And often the tipping point is invisible. Some small routine or service degrades, but outwardly everything still works fine… there is just more strain on the services and clients that use that service, causing them to slowly degrade over the next few hours, days, or weeks, which in turn puts more strain on the services that call those services… etc etc.

        Until one day the system is so degraded major things start breaking. It seems like it came out of nowhere, but the initial failure happened weeks ago and has been cascading since then.

        Once a system hits that point it’s often not enough to just fix the initial problem because so much of the ecosystem around it has been thrown out of whack.

  • Hyacathusarullistad@kbin.social
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    1 year ago

    Are we still entertaining the notion that the man isn’t deliberately destroying Twitter? Because it definitely seems conscious and purposeful, and has for a while now IMO.

    • kubijoe@programming.dev
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      1 year ago

      Feels like all social media is being strained for a reason and the free flow of information is at the center of it.

      Twitter and Reddit actions are also in line with suppression of content farm bots and data scrapers.

      The internet and social media landscape is changing forever, and it will keep on doing so! hang on tight :)

      • Vivalde@lemmy.world
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        1 year ago

        Yep! All social media sites can see the bombshell that is LLM’s, and they’re working to try and create their own applications behind the scene, or at the very least monetize their datasets for usage by the likes of OpenAI. There’s a LOT of money in that space right now!