I mean if you got nitpicky 3000 or 30000 transactions doesn't tell you anything... but in this kind of evaluation you need to think dimensionally. That's why I intentionally assumed all of their traffic shows up in one contiguous block of 8 hrs across all locations every day: that added a
massive fudge factor even bigger than the number you're focusing on...
> But I doubt you'd find any Fortune 100 company relying solely on Postgres and Redis.
I mean, yeah?
Across every system they use of course that wouldn't be it: what would be generating the data that goes into them? Where would the data that goes in be going out?
I'm simply referring to their "glue" for day to day operations, which here is a pubsub system built on Kafka. Most organizations of a certain size start to pick up some set of technology that new efforts default to being built on top of if only to have access to what everyone else is doing... that's essentially what AWS started off as before it was spun out from internal usage
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But more importantly, Fortune 100 is a very random pairing of problem spaces. I mean you won't find any built solely on Postgres and Redis for the very obvious reason I mentioned above... but you will find billions of dollars in revenue on even more boring stuff than that. The number of Oracle shops using repackaged technology that makes Postgres look like Cloud Spanner is staggering.
I find the opposite of what you do, that people tend to overestimate what it takes to handle large amounts of data reliably. And I think it's because you need some experience with this stuff to understand why you can't just think in terms of "underestimated the transaction volume by possibly 10x"(hint: 10x can mean 3 million => 30 million).
What happens is people hear that system A is going to need to go from 3,000 to 30,000, then start to architecture the way someone going from 3 million to 30 million should have, and suddenly you're building out a system that's less reliable, more expensive, and just generally worse except for what shows up on resumes.