this post was submitted on 11 Jun 2023
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Asklemmy
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This is what I think, but if anyone understands it differently please correct me.
Vertical scalability refers to scaling within a single instance. More users join and they post more content, increasing the amount of disk space needed to hold that memory, network bandwidth to handle many users downloading comments and images at once, and processing power.
Horizontal scaling refers to the lemmyverse growing because of the addition of new instances. The problem in this form of scaling is due to the resources that an instance has to use due to its interactions with other instances. So, you may create a small instance without a lot of users, but the instance might still need a lot of resources if it attempts to retrieve a lot of information (posts, comments, user information, etc) from the other larger instances. For example, at some point a community in lemmy.ml might be so popular that subscribing to that community from a small instance would be too much of a burden on the smaller instance because of the amount of memory required to save the constant stream of new posts. The horizontal scaling is a problem when the lemmyverse becomes so large that a machine with only a small amount of resources is no longer able to be part of the lemmyverse because its memory gets filled up in a few hours or days.
You can summarize by thinking of vertical scaling as "make machine bigger / more powerful" with horizontal scaling as "make more machines".
Kind of like building a very large/tall building vs having multiple buildings!
I don't believe this is how it works though.
Let's say your tiny 3 person instance is connected to a big one. I believe it only pulls in content from the communities somebody from the small instance is subscribed too. Correct me if I'm wrong.
That's what they're saying.
Essentially - if someone from the small instance subscribes to a community that has a ton of data (huge post volume, images, whatever), the small instance needs to pull data over from the larger instance. At some point there may be communities that are so large small instances can't pull them in without tanking.
Could that be solved by caching? Can't the smaller instance avoid some duplication?
If I'm reading the protocol right, it's probably larger instances that will avoid more duplication, since:
I'm not sure I see where you see caching fitting in.
I am surprised I don't see some kind of lower resolution digest concept in the protocol (which might be what you're looking for)
That's what I've gathered, but I don't believe there's a way for instance owners to limit what's fetched - a user crafts the query and the server does the needful.
I imagine this could amount to a denial of service attack of sorts, if some high-churn communities are imported into tiny instances. How bad that could be, I have no idea - I'm speaking pretty theoretically, here. Text is tiny, after all, so it's probably not much of a concern, since most of the media is actually handled elsewhere...
I'm not a web developer. I'm sort of a sysadmin so i have some experiences maintaining machines for web apps for other people. And you are right...text will not create massive amounts of data. But a lot of tiny transactions can bring down machines surprisingly fast even if the total amount of data is relatively small.
I guess we are here to experience it first hand. I don't think anybody...not even the developers have a clear idea of how well this will scale. There is only one way to find out lol