2025-03-01 · mlops, monitoring
Monitoring Hooks Without a Full MLOps Suite
Small teams often need monitoring before they need a feature store. We teach three signals: input schema drift, prediction distribution shift, and error rate against a human audit sample. Each gets a threshold proposal template, not a vendor dashboard.
Learners containerize a sklearn model, expose a health endpoint, and emit simple Prometheus metrics in a lab environment. The goal is literacy — knowing what to ask platform teams for — not building Netflix-scale infrastructure.
We are explicit about exclusions: multi-region failover and automated retraining pipelines are out of scope for the essentials track. Graduates should be able to write a one-page monitoring spec their SRE colleagues can implement.
Corporate upskilling clients sometimes extend this module with their internal logging standards; contact us for a scoped proposal.