What would you put on a model Grafana board?
PICTURE THIS: HOW TO EXPLAIN IT
Simple meaning
Request rate, p95/p99 latency, error rate, model version tag, feature freshness, PSI for top features, and prediction score histograms.
WHY — Monitoring instead of guessing?
Why interviewers care about Monitoring:
who only read docs from people who shipped.
and tied to MLOps work.
Name the idea, why it exists, then one short example.
End with when you use it and one common pitfall.
STEPS — What happens step by step?
Before you speak the answer, walk the interviewer through these steps:
- 1Request rate, p95/p99 latency,
error rate, model version tag, feature freshness, PSI for top features, and prediction score histograms.
- 2Add a panel for
delayed outcome metrics with the label lag called out.
- 3Version tags on every
panel stop you from mixing two deploys.
- 4Give an example
One tiny concrete case you can say aloud.
- 5Common mistake
What juniors usually get wrong.
- 6Close
When you pick this over the alternative.
EXAMPLE — See it in action
Here's a short line you can speak, broken into clear beats:
Note: Adapt this scaffold to your own project — keep it under 60–90 seconds.
Key takeaway
Request rate, p95/p99 latency, error rate, model version tag, feature freshness, PSI for top features, and prediction score histograms. Add a panel for delayed outcome metrics with the label lag called out.