I Finally Ditched Great Expectations After 6 Months of Midnight Profiling Jobs
After 6 months of midnight profiling jobs, I tested Pandera, dbt tests, and Soda Core. Here’s what actually…
We Treated Offline and Online Stores the Same (That Was Our First Mistake)
Most Feast Kubernetes deployments look fine at first, then collapse within six months. Here’s what actually survives repeated…
I Got a Polite Email from Infra About My Compute Bill (Here’s What I Learned)
After a painful compute bill and an overfit model, I learned when to fine-tune LLMs for documents and…
We Lost 4 Hours to Ray Serve Misconfiguration (Here’s What We Changed)
Our Ray Serve deployment melted at 2 AM. These three autoscaling parameters fixed it, and we haven’t had…
Our Multi-Touch Attribution Was Wrong for 18 Months (DoWhy Showed Us Why)
Traditional attribution confuses correlation with causation. Here’s how to use DoWhy’s causal inference to find which channels actually…
We Built the Perfect MLOps Diagram (Then Reality Broke Everything)
That beautiful MLOps diagram on Confluence? It’s probably wrong. Here’s what actually survives production pressure, from someone who’s…
Why Our Beautiful 7-Day Aggregation Feature Was Useless at Serving Time
Our fraud model dropped from 97% to 60% accuracy in production. The culprit? Features that took hours to…
I Thought Redis Was Our Bottleneck (I Was Completely Wrong)
We blamed Redis for our Black Friday meltdown. Flame graphs told a different story. Here’s where our feature…
I Watched a Team Spend $40K Retraining a Model That Wasn’t Broken
A team spent $40K retraining a model that wasn’t broken. They confused data drift with concept drift. Here’s…
I Made the Mistake of Trusting Vendor Benchmarks for Our ML Pipeline (Never Again)
In 2026, the gap between a vendor’s glossy performance chart and your production reality isn’t just a margin…
