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db-performance-at-scale
Source code for "Database Performance at Scale: A Practical Guide (Apress, 2023)," by Felipe Cardeneti Mendes, Piotr Sarna, Pavel Emelyanov & Cynthia Dunlop
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Im not sure how this qualifies as open source when the repo for the book[0] is essentially empty?
[0] https://github.com/Apress/db-performance-at-scale
I disagree. Words have meaning. 'Open source' means 'open source' in all contexts.
For comparison, https://doc.rust-lang.org/book/ is an open source book. A PDF with a CC license without a repo of the publishing artifacts is not an open source book. It's just a free book.
About cost, see [1]. Also, S3 prices have been increasing and there's been a bunch of alternative offers for object store from other companies. I think people in here (HN) comment often about increasing costs of AWS offerings.
Distributed systems and consensus are inherently hard problem, but there are a lot of implementations that you can study (like Etcd that you mention, or NATS [2], which I've been playing with and looks super cool so far :-p) if you want to understand the internals, on top of many books and papers released.
Again, I never said it was "easy" to build distributed systems, I just don't think there's any esoteric knowledge to what S3 provides.
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1: https://en.wikipedia.org/wiki/Economies_of_scale
2: https://nats.io/
Sorry, this is just anecdotal from my recollection of reading random hacker news threads; I think people talk more about the bandwidth being expensive more than the storage itself [1].
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1: https://hn.algolia.com/?dateEnd=1696464000&dateRange=custom&...