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bawolffyesterday at 11:27 PM3 repliesview on HN

I'm just kind of confused what took them so long. So it was costing 300k a year, plus causing deployment headaches, etc.

But its a realitively simple tool from the looks of it. It seems like their are many competitors, some already written in go.

Its kind of weird why they waited so long to do this. Why even need AI? This looks like the sort of thing you could port by hand in less than a week (possibly even in a day).


Replies

delectitoday at 4:46 PM

My takeaway is almost the opposite. A company that has scaled to the point that they need 200 replicas of JSONata costing 300k/yr must be spending so much on compute that the difference is absolutely peanuts.

kjuulhyesterday at 11:41 PM

Not saying it is a good thing, but an organization, especially if there has been a lot of turnover, can enter a state of status quo.

> it must have that architecture for a reason, we don't enough knowledge about it to touch it, etc.

That or they simply haven't had the time, cost can creep up over time. 300k is a lot though. Especially for just 200 replicas.

Seems wildly in-efficient. I also don't understand why you wouldn't just bundle these with the application in question. Have the go service and nodejs service in the same pod / container. It can even use sockets, it should be pretty much instant (sub ms) for rpc between them.

schumpeteryesterday at 11:29 PM

If I had to guess… The same thing happening to a lot of the industry… the era of cheap money is over.