Field notes — essays & research notes

Things I've written down.

Ruby, Rails, performance, security and applied machine learning. Updated when something feels finished.

3 posts in MLOps
MLOPS 06 / 13 / 26

Your model didn't degrade, the world did

Model weights are frozen the day you deploy. Everything they were fitted to keeps moving, and nothing tells you unless you look.

2 min
MLOPS 05 / 08 / 26

The model was fine. The features were different.

A model that scores well offline and poorly in production usually isn't seeing the same inputs it was trained on.

2 min
MLOPS 01 / 21 / 26

I served ResNet-50 on a CPU and stopped paying for GPUs

Latency budgets, ONNX Runtime, and the arithmetic showing most inference workloads were never GPU problems in the first place.

4 min