I read your comment as assuming that the division between the server's job and the client's job is fixed, but as the browser has become more powerful many things have moved to the client.
I read your comment as assuming that the division between the server's job and the client's job is fixed, but as the browser has become more powerful many things have moved to the client.
So now I have to convert CSV, for which there's no official specification, to JSON, and then make (up to) 1,000 HTTP requests via HTTP 1.1 -- and a different back end team owns rate limiting for all ingress. I end up using a package called 'promise-limit' to ensure only N number of requests are open at a time; firing 1,000 simultaneous XMLHttpRequests is a bad idea. I end up fielding bug reports concerning the translation to JSON for edge cases. And collating the 1,000 network responses for any individual record that failed to persist was something we didn't get to building. So users were uploading 1M records, had some proportion fail, and had 0 visibility into what data the system had, and what data didn't make it.
Eventually, we gutted all of that and the backend team added a file upload endpoint. But explaining why this shouldn't be a front end feature, to folks who primarily or exclusively do backend work, it's tough to communicate (1) all the pain points of dealing with the complexity in the front end and (2) the scalability issues. "Can't you just do it on the front end" is such a frequent retort I receive, for things we truthfully should do on the backend.
It’s often tempting to model URLs like database entries and send multiple requests to the server to model updating many records based on one action. That’s a mistake - have the client name the action, send one http request, and execute it in a single database transaction in the backend if you need to. This approach is way more reliable, debuggable and consistent. This sort of thing is absolutely the backend’s responsibility.
I've also found that it results in a non responsive webpage. For instance, text taking multiple seconds to render in an input box (Slack, Facebook, amongst others) and times where the browser tab process ends up allocating a signficant percentage of system resident memory and/or CPU resources, which makes the computer itself slow to respond.
Spitting out html from the server is incredibly easy to scale.
while code may move to the frontend, the notion of scaling isn't a function of the number of users (as the original op erroneously states).
maybe they meant their front end code scales as complexity is moved from server to client? that would make sense.