OpenAI's Habitat storage platform now handles 22 million requests per second for over 1 billion ChatGPT users. It started as a Python library. That gap is the story.
The engineering detail worth reading is in the transition itself: how a system architected for internal simplicity was redesigned into a globally distributed platform without collapsing under its own migration weight. The piece covers the specific architectural decisions, tradeoffs at each scaling threshold, and where the team made bets that paid off versus pivots forced by production failure.
If you run storage infrastructure at any meaningful scale, or you are about to, the operational lessons here are concrete and numbered. The next question this piece raises but does not fully answer: what breaks first when they hit 2 billion users.
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