this post was submitted on 03 Jul 2023
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No Stupid Questions

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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.

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[–] [email protected] 5 points 1 year ago (1 children)

I believe they store and that’s why it processes lowest res first and works up

[–] [email protected] -5 points 1 year ago (1 children)

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.

[–] [email protected] 2 points 1 year ago* (last edited 1 year ago) (2 children)

Are you suggesting they don’t store different versions? This suggests they do.

[–] [email protected] 1 points 1 year ago (1 children)

That response is almost 10 years old and completely outdated.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.

[–] [email protected] 1 points 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.

[–] [email protected] 0 points 1 year ago (1 children)

At a certain point the cost of compute is going to be cheaper than the cost of storage.

[–] [email protected] 2 points 1 year ago (2 children)

Do you have a source? My instinct is the opposite. Compute scales with users but storage scales with videos

[–] [email protected] 1 points 1 year ago (1 children)

No source but I imagine the amount of videos must be outpacing the amount of users. Users come and go but every uploaded video stays forever.

[–] [email protected] 1 points 1 year ago (1 children)

I think you might be underestimating how many users YouTube has! According to this, 720,000 hours per day are uploaded versus 1,000,000,000 hours are watched per day!

[–] [email protected] 1 points 1 year ago

No assumptions about specific usage. Just that at a certain point or in certain scenarios (that I’m sure YouTube’s engineers fully understand), there’s a point where one becomes more cost effective than the other.

Those are pretty incredible numbers though, wow. The scale of that usage is insane.

[–] [email protected] 1 points 1 year ago (1 children)

Consider two cases:

  • the most recent MrBeast video receiving millions of views from all kinds of devices (some of which require specific formats)
  • a random video of a cat uploaded 5 years ago, total view count: 3

Design a system that optimizes for total cost.

[–] [email protected] 1 points 1 year ago

Yeah I replied below with actual numbers