Better Monitoring for Humans: The CASE Method
summary
A four-part rubric called CASE prescribes concrete changes: make alerts context heavy with recent changes, ownership, diagrams and Slack links; make them actionable with runbooks, RTOs and explicit mitigation steps; favor symptom-based signals over brittle cause alerts and timebox any cause-based pages; and evaluate alerts regularly via game days, fault injection/chaos testing, expirations and PR-based edits (Terraform templates and in-alert feedback). The method is vendor‑neutral, software‑free and designed to scale from one person to an org.
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chapters (11)
- 0:00Introduction
- 1:47About the speaker
- 4:11Systems and complexity
- 6:10The role of humans
- 8:37The Case Method
- 10:48Unsafe systems
- 12:22Context heavy alerts
- 15:43Actionable alerts
- 18:25Symptom-based monitoring
- 22:14Regular evaluation
- 25:30Conclusion and Q&A
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