Mastering Operational Health for Engineering Leaders
summary
A practical playbook for moving from chaotic ops to measurable reliability: a three‑level maturity model (reactive, adaptive, proactive) across five domains and a reusable operational review process with 20+ segments. Examples include using a GitHub Action to automate reports, tracking time to detect (TTD) and time to mitigate (TTM) (example: a Nov 21 incident with 12 minutes TTM and 2% customers impacted for 70+ minutes), automations for auto‑scaling, and SLOs correlated to incidents to prioritize fixes.
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chapters (23)
- 0:00Operational health struggles
- 2:23Introduction
- 4:30Operational maturity model
- 5:58Five components of maturity
- 6:19Availability and incidents
- 8:47Data and metrics maturity
- 10:57People and processes clarity
- 13:12Product architecture resiliency
- 15:00Engineering efficiency unplanned work
- 16:03Self-assessment poll
- 19:03Operational review deep dive
- 20:50Incident metrics impact
- 26:32Service level objectives
- 29:24SLOs incidents alerts
- 31:51Alert fatigue signal noise
- 34:00Risk registers prioritization
- 35:26Deep dives team learning
- 37:11Team-level review formats
- 38:40Org-level review approaches
- 39:25Introducing operational reviews
- 40:31Common pitfalls lessons
- 42:37GitHub’s review adoption results
- 43:21Q&A
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