Examples and Practice: Dashboards Alerts and Runbooks¶
Worked Practice¶
- Write one paragraph explaining Dashboards Alerts and Runbooks to a beginner.
- Draw the smallest diagram that shows input, transformation, output, and failure mode.
- Build or outline a tiny artifact connected to: Add dashboards and alert rules.
- Measure it with: Track traces, eval pass rate, latency, errors, token use, and privacy-safe logs.
- Add one failure case to your learning log.
Mini Project Drill¶
Create a file named notes/dashboards-alerts-and-runbooks.md in your project workspace. Include:
- the problem Dashboards Alerts and Runbooks solves
- the simplest implementation or design
- the measurement you used
- one example input
- one expected output
- one failure case
- one decision you would make from the result
Check Your Understanding¶
| Question | What a strong answer includes |
|---|---|
| Why does Dashboards Alerts and Runbooks matter? | It connects to a deployed model-backed service with data or retrieval pipeline, registry metadata, eval checks, structured logs, and dashboards. and names a practical risk. |
| How would you test it? | It uses a small repeatable case and a measurable expected result. |
| What breaks first? | It names a specific failure mode, not only "the model is bad". |
| When should you move on? | When the artifact works on a realistic case and one edge case. |
Stretch Exercise¶
Revisit the same drill after finishing the next part. Update the note with what changed. This is how isolated concepts become connected system judgment.
Return to 7.5.3 Dashboards Alerts and Runbooks.