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Yes…but the thing is downstream systems are dynamic and real time, so “could” use the recommendations, but never actually do. Hypothetically… This type of thin

Yes…but the thing is downstream systems are dynamic and real time, so “could” use the recommendations, but never actually do. Hypothetically… This type of thing goes on all over the company. Another example, a complex “data provider platform”. Which is actually just spinning up spark clusters, joining data, and making it available to downstream consumers. There’s a lot of bells and whistles, notifications built on top. Strip away the details, it’s just doing a join. Ten engineers, two senior engineers making 500k, long hours. That’s Amazon.

operatingthetan 4y ago
I encountered the same sort of problems at amazon, I felt like it was because leadership didn't incentivize those optimizations to be made across the org. We'd identify some team that was the only one that could help us with something and nobody would lift a finger for us. Teams who were on the hook would ship us incomplete and untested APIs claiming they were done in order to work on other stuff. Managers didn't want to bring it up with other teams because of political ramifications.