Scaling an EdTech Platform to 250,000 Daily UsersScaling an EdTech Platform to 250,000 Daily Users
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๐—ช๐—ฒ ๐—ฟ๐˜‚๐—ป ๐—ฎ๐—ป ๐—˜๐—ฑ๐—ง๐—ฒ๐—ฐ๐—ต ๐—ฝ๐—น๐—ฎ๐˜๐—ณ๐—ผ๐—ฟ๐—บ ๐˜๐—ต๐—ฎ๐˜ ๐—ด๐—ฟ๐—ฒ๐˜„ ๐—ณ๐—ฟ๐—ผ๐—บ ๐Ÿฎ๐Ÿฌ,๐Ÿฌ๐Ÿฌ๐Ÿฌ ๐˜๐—ผ ๐Ÿฎ๐Ÿฑ๐Ÿฌ,๐Ÿฌ๐Ÿฌ๐Ÿฌ ๐—ฑ๐—ฎ๐—ถ๐—น๐˜† ๐˜‚๐˜€๐—ฒ๐—ฟ๐˜€ ๐—ถ๐—ป ๐˜๐—ต๐—ฟ๐—ฒ๐—ฒ ๐˜†๐—ฒ๐—ฎ๐—ฟ๐˜€, ๐˜„๐—ถ๐˜๐—ต ๐˜‡๐—ฒ๐—ฟ๐—ผ ๐—ฑ๐—ผ๐˜„๐—ป๐˜๐—ถ๐—บ๐—ฒ.
The hardest part wasn't the growth. It was Monday at 8 AM, when 20,000 students logged in within 90 seconds and the whole system buckled.
๐—ช๐—ต๐—ฎ๐˜ ๐—ณ๐—ถ๐˜…๐—ฒ๐—ฑ ๐—ถ๐˜:
โ€ข Login got its own service, so it never touched the main database. The Monday slowdown became a 3-second blip. โ€ข Submissions went through a queue. The slowest endpoint got 80% faster. โ€ข Reporting got its own database. Teacher dashboards went from 14 seconds to under 1.
๐—ง๐—ต๐—ฒ ๐—น๐—ฒ๐˜€๐˜€๐—ผ๐—ป: going from 50K to 150K users breaks more platforms than going from 150K to 250K. The first jump is an architecture problem, not an engineering one.
Full case study on my profile. If your product is starting to strain under real users, send me what you're building.
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