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by n_ary
2729 days ago
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Offtopic: I've never worked in anything that has > 100 (200 on good days) users. When you have >10k or 100k users, what really changes? Do you have to rewrite everything? Do you spin up more machines? Profile & optimise any/all bottlenecks to eek out more perf? Am really curious as, am not sure how something of that scale looks like. I always imagine those always are rewritten in C/C++/Java or Rust(current years) or have very special architecture etc. :) |
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> Do you spin up more machines?
Is correct. We make sure that the app itself is stateless (very important for horizontal scalability), and then I set up auto-scaling groups in AWS (or more recently actually, pods in kubernetes that auto-scale). For database I use sharding, tho lately I've gotten away from sharding because it complicates the database queries and you would be amazed at how far you can vertically scale an RDS Aurora instance.
You do have to profile expensive database queries tho. Basically if your app is stateless and your database queries are performant, you can scale really far by just adding instances (more machines).
That said, there is a point where re-writing is attractive: cost. Adding these instances is expensive. There was a great blog post that I'll try to find where a service in RoR had an app server for every 400 to 500 concurrent users, and rewrote in Go and was able to use one app server for every 10,000 concurrent users.