We Monitor Everything… Except What Matters
summary
Describes operating AWS systems where abundant metrics, dashboards and alerts still failed to explain latency, intermittent errors and silent degradations because teams monitored the wrong things. Argues that many alerts track symptoms not root causes and metrics are disconnected from real user impact, and recommends criteria for choosing what signals to collect so monitoring helps troubleshooting under pressure rather than creating noise.
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chapters (9)
- 0:00Introduction
- 1:05Real learning stories
- 3:12Initial monitoring focus
- 8:52Useless monitoring examples
- 12:25Business-focused shift
- 16:57Team discovery process
- 19:00Costly lessons learned
- 24:41Importance of fixability
- 25:21Q&A
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