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▲Old Software Was Fast Because It Had No Choice (self.__VINEXT_RSC_CHUNKS__=self.__VINEXT_RSC_CHUNKS__||[];self.__VINEXT_RSC_CHUNKS__.push("2:I[\"aadde9aaef29\",[],\"default\",1]\n3:I[\"6e873226e03b\",[],\"Children\",1]\n5:I[\"bc2946a341c8\",[],\"LayoutSegmentProvider\",1]\n6:I[\"6e873226e03b\",[],\"Slot\",1]\n7:I[\"3506b3d116f7\",[],\"ErrorBoundary\",1]\n8:I[\"a9bbde40cf2d\",[],\"default\",1]\n9:I[\"3506b3d116f7\",[],\"NotFoundBoundary\",1]\na:\"$Sreact.suspense\"\n:HL[\"/assets/index-BLEkI_5r.css\",\"style\"]\n")target="_blank">yusufaytas.com)
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A t3.small on AWS costs $182.21 a year before any discounts and has 2 CPUs and 2 GB of RAM.
So the computer to run the example at the start costs 3 hours of Engineering time.
This has... Warping effects on how hardware performance is perceived to put it mildly.
If you spend 4 hours halving that cost it takes multiple years to reclaim that investment.
Not that performance doesn't matter of course, reducing your total spend by a percentage is worthwhile, but micro optimizations become difficult when hardware is cheap and performant.
For simplification, you need to make a Spaghetti Bolognese for 4 people.
Person A gets $10, Person B gets $100.
Person A is forced to be resourceful, look around and do a lot of thinking. Person B can be wasteful and still be in budget.
Reality Nowadays: Person B would contract this out to Person C, who would subcontract to Person D and suddenly there is a huge scope creep and $100 is not enough.
I use old software on new hardware
It's faster than new software on new hardware