The tech giants make enough money that they could keep on growing forever, from my understanding.
But the fediverse? Sure the main instances that get enough funding are going to be okay, but what about the single-user instances 10 years from now on when there’s a lot more content to download? Won’t they go bankrupt just by trying to annex the big instances?
And I have the impression that the lemmy giants are going to change over time: does that mean that 50 years from now on, the posts I’m posting here today might get lost in time because the instances that annex it will have shut down by then?
I probably misunderstand how the fediverse works, but my worry is that the small instances won’t be able to hold an ever-growing amount of data forever.
I spoke in absolutes for the sake of readability, but I’m as in-the-dark as can be.
I’m not sure what you mean by a “network operating system”, but monoliths are inherently just as scaleable as services.
Imagine you have a service architecture, and you are running 2 of service A, 4 of service B, and 8 of service C.
Alternatively, you could be running a monolith on 14 nodes. Most of the work those 14 nodes will be doing work that would have been covered by service C, it’s just spread out in a different way.
I’m talking about Cisco IOS-XR, Juniper JunOS, Arista.EOS and others.
Those operating systems are disaggregated, meaning different features can be restarted, replicated, scaled out horizontally, or upgraded without having to disturb the other components in runtime.
Maybe we’re getting at the same point from other ends. I’m not a traditional software engineer,but ai have had academic and professional training on these topics.
You are not logged in. However you can subscribe from another Fediverse account, for example Lemmy or Mastodon. To do this, paste the following into the search field of your instance: [email protected]
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I’m not sure what you mean by a “network operating system”, but monoliths are inherently just as scaleable as services.
Imagine you have a service architecture, and you are running 2 of service A, 4 of service B, and 8 of service C.
Alternatively, you could be running a monolith on 14 nodes. Most of the work those 14 nodes will be doing work that would have been covered by service C, it’s just spread out in a different way.
I’m talking about Cisco IOS-XR, Juniper JunOS, Arista.EOS and others.
Those operating systems are disaggregated, meaning different features can be restarted, replicated, scaled out horizontally, or upgraded without having to disturb the other components in runtime.
Maybe we’re getting at the same point from other ends. I’m not a traditional software engineer,but ai have had academic and professional training on these topics.