Simor
Data Infrastructure for Production AI
Practical writing on AI data engineering, feature stores, and the infrastructure choices that determine whether AI systems work in production.
A fintech company's data platform ground to a halt when a schema change cascaded through dozens of pipelines. Their homegrown orchestration system—a maze of cron jobs and bash scripts—offered no visib
You're sending a $10,000 check. Regular mail might get lost. Send two copies, recipient might cash both. What you need: tracked, signed for, proof of delivery. Your check arrives exactly once. Not zer
An energy company's AI predicted electricity demand would peak at 6 PM, as typical. The first game of the World Cup had millions turning on TVs at 4 PM, creating an unprecedented spike their models co
A parade where everyone maintains exact position. The drummer at position 10 stays at position 10. The flag bearer at position 50 remains at position 50. Even if they take breaks, when they reassemble
A pharmaceutical company's language model could discuss individual molecules but failed to understand that Drug A inhibited the same enzyme Drug B required for activation—a critical interaction that m
Central Library started small: one room, one librarian, manageable. Now it holds millions of books. Patrons wait hours. The librarian hasn't slept in weeks. The solution: split the library. Fiction (
A social media analytics company watched their Kubernetes cluster fail to handle traffic spikes from trending topics. The cluster would scale from 50 to 500 pods in minutes, but not fast enough to pre
Two chemistry labs, different philosophies. ACID lab: Every experiment follows strict protocols. Reactions complete perfectly or not at all. Measurements are exact. Nothing proceeds until everything
A fintech startup's cloud bill grew from $50,000 to $800,000 per month in six months. GPU clusters sat idle between training runs. Terabytes of experimental data accumulated in premium storage. Develo