I know memory is fairly cheap but e.g. there are millions of new videos on youtube everyday, each probably few hundred MBs to few GBs. It all has to take enormous amount of space. Not to mention backups.

  • okuhiko@lemmy.world
    link
    fedilink
    arrow-up
    2
    ·
    1 year ago

    Google just has a lot of storage space. They have dozens of data centers, each of which is an entire building dedicated to nothing but storing servers, and they’re constantly adding more servers to previous data centers and building new data centers to fit even more servers into once the ones they have are full.

    IIRC, estimates tend to put Google’s current storage capacity somewhere around 10-15 exabytes. Each exabyte is a million terabytes. Each terabyte is a thousand gigabytes. That’s 10-15 billion gigabytes. And they can add storage faster than storage is used up, because they turn massive profits that they can use to pay employees to do nothing but add servers to their data centers.

    Google is just a massive force in terms of storage. They probably have more storage than any other organization on the planet. And so, they can share a lot of it for free, because they’re still always turning a profit.

  • DontTreadOnBigfoot@lemmy.world
    link
    fedilink
    arrow-up
    0
    ·
    1 year ago

    Absolutely huge data centers.

    A full third of my towns real estate is currently covered with a sprawling Google data center. Just enormous.

  • Generator@lemmy.pt
    link
    fedilink
    arrow-up
    0
    ·
    1 year ago

    Not only that but for each video on YouTube there are different versions for each resolution. So if you upload a 1080p video, it gets converted to 1080p AVC/VP9, 720p AVC/VP9, 480p… also for the audio.

    If you run youtube-dl -F <youtube url> you will see different formats.

    • Falmarri@lemmy.world
      link
      fedilink
      arrow-up
      0
      ·
      1 year ago

      Does youtube actually store copies of each one? Or does it store 1 master copy and downsaple as required in real time. Probably stores it since storage is cheaper than cpu time

        • patsharpesmullet@vlemmy.net
          link
          fedilink
          arrow-up
          0
          ·
          1 year ago

          It’s transposed on the fly, this is a fairly simple lambda function in AWS so whatever the GCP equivalent is. You can’t up sample potato spec, the reason it looks like shit is due to bandwidth and the service determining a lower speed than is available.

            • patsharpesmullet@vlemmy.net
              link
              fedilink
              arrow-up
              1
              ·
              1 year ago

              That response is almost 10 years old and completely outdated. I’ve designed and maintained a national media service and can confirm that on the fly transcoding is both cheaper and easier. It does make sense to store different formats of videos that are popular at the minute but in the medium to long term streams are transcoded.

              • mangomission@lemm.ee
                link
                fedilink
                arrow-up
                1
                ·
                1 year ago

                Sure it’s old but the stats I posted in a lower comment show that at YouTube’s scale, it makes sense to store.

  • Jmr@lemmy.world
    link
    fedilink
    arrow-up
    0
    ·
    1 year ago

    YouTube isn’t even profitable yet. Google pours billions into storage and compute, so does Amazon and Microsoft and all the others. They have so much space we probably can’t even comprehend it

  • assembly@lemmy.world
    link
    fedilink
    arrow-up
    0
    ·
    1 year ago

    It’s the same story with AWS as well. They use vast amounts of storage and leverage different tiers of storage to get the service they want. It’s funny but they have insane amounts of SD cards ( cheapest storage available at the size) and use that for some storage and just replicate things everywhere for durability. Imagine how small 256GB SD cards are and they you have hardware to plug-in 200 of them practically stacked on top of each other. The storage doesn’t need to be the best, it just needs to be managed appropriately and actively to ensure that data is always replicated as devices fail. That’s just the cooler tier stuff. It gets complex as the data warms.