Feature Engineering in Machine Learning 2026
I’ve watched three production models fail in the past eighteen months for the same reason. Not because of…
3 AM On-Call Pages Taught Me More About Feature Stores Than Any Documentation
We spent months migrating from Feast to Tecton. Six months later, we migrated half our workloads back. Here’s…
How We Cut Memory Usage from 118 GB to 28 GB by Switching to Polars
We benchmarked Pandas vs Polars on 100M rows after a 3 AM outage. The memory difference (118 GB…
I Made My Team Run Parallel MLOps Platforms for 6 Months. Was It Worth It?
We ran MLflow and Kubeflow in parallel for 183 days. Neither won outright, but at 100K predictions per…
We Moved 3 Workloads from Snowflake to DuckDB (Here’s the Math)
Our Snowflake bill hit $8K/year for workloads that cost us nothing in DuckDB licensing. But the real math…
I Wasted $47K on the Wrong Causal Inference Tool (Here’s How to Avoid My Mistake)
After wasting $47K on the wrong platform, we tested 12 causal inference tools on production data. Here’s what…
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…
