Your Models Are Lying to You in Production (You Just Don’t See It Yet)
Why this matters this week Most teams are now “shipping ML,” but what’s actually in production often looks like this: Offline AUC: 0.93 Production monitoring: 2 Prometheus counters and vibes Retraining: “whenever numbers look weird” Cost: “we’ll optimize later, infra is cheap” Then reality hits: Infra bill quietly 3–5x’s because feature pipelines and embeddings are…
