the rachelbythebay post I RT-ed speaks to me emotionally, and I have my own feelings about it, but this is a good thread (from someone with experience at the same place) with some counterpointshttps://twitter.com/jhscott/status/1236450174244753409 …
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author of this thread had a few tweets exchanged with Camille in her tweet, glad I clicked through
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funny, a bugaboo I had with Erlang/Elixir when I was first playing with it in 2010 was that the toplevel could *only* be modules and function defs; thought it was "simpler" to include arbitrary exprs, like Scheme. After enough Python, I now see this as a huge benefit!
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light counter-counterpoint to that thread would be to note that the "more worthy" cloud cost centers cited (data warehouse, ML training) only rly exist in soaked-in-VC-money SF-based B2C companies, whereas the rachelbythebay post points out issues concerning anyone using Python
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the company both people worked at was Lyft, which was financed *super* heavily, played the "west-coast tech" game (HIRE A TON OF ENGINEERS), and put money pretty much everywhere (they've invested more in autonomous than most companies ever receive).
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what was true for companies fitting Lyft's profile won't be true from everyone with cloud costs! B2B companies will have way less data, require less from a "data warehouse," and not many will have "ML teams."
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to be super clear: Lyft does interesting things, has contributed back a ton of great tech, has interesting problems, and hires many brilliant engineers. but there's some back-asswards things there too, mostly resulting from playing the game they played when they played it
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Replying to @SrPablo
My observations were definitely context specific! That said, “SF VC funded startups” may intersect heavily w “have enough scale to have cloud spend be a meaningful part of COGS”. There are tons of successful Ruby and Python startups/small businesses/etc, and
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Many of them likely will not hit the technical challenges which this post touched on.
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this is a great thread and directly touches on some of the work i've been doing lately... definitely food for thought
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happy to chat about Stripe specifics "on the other side" if it would be helpful!
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> You set your system to "elastically scale up" at some pitiful utilization level, like 25-30%
> breathtaking things to deal with thousands of instances when the work could really be done with something far smaller
but, does it actually matter?