Currently on the desk

Working through Designing Machine Learning Systems by Chip Huyen alongside the MLOps pipeline work. The framing that stuck: most production ML incidents are data incidents wearing a model-shaped costume.

Pairing it with a re-read of the Google SRE book’s chapter on monitoring — the overlap between “what breaks an ML system” and “what breaks a distributed system” is bigger than most teams plan for.