Uladzislau Bayouski

Here's how it usually goes wrong. You build an IoT prototype. Fifty sensors, one reading a minute. You throw the data into PostgreSQL because that's what you know — and it works beautifully. Queries are instant. Everyone's happy. Then you go to production. Five thousand devices. One reading per second. Suddenly you're writing 5,000 rows every second — 432 million rows a day — and things start breaking in ways that feel personal. Dashboard queries that took 50ms now take 40 seconds. Your storage bill triples in a month. Adding an index makes writes worse. Removing it makes reads worse. Nothing is technically broken. You just picked the wrong tool, and IoT scale found the flaw. 📊 The Short Version IoT data has four properties that break traditional databases: Writes are relentless and append-only — high-frequency, continuous, never-ending; traditional B-tree indexes choke at sustained write rates Cardinality explodes at device scale — 10,000 devices × 5 se...