Resilience Engineering Mythbusting
summary
Defines resilience as the system plus people adapting beyond expected bounds and separates it from reliability and robustness, shows chaos engineering is for building expertise not injecting chaos, and argues root cause is a myth replaced by contributing factors; illustrates with Spectre/Meltdown and a production outage caused by a deleted CSS file that brought down Apache; warns error budgets do not by themselves control risk; recommends reading the Efficiency‑Thoroughness trade‑off, Cook’s How Complex Systems Fail, and the Field Guide to Understanding Human Error.
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chapters (25)
- 0:00Intro
- 2:25Can it adapt?
- 3:07We're building resilience into our software and server architecture
- 6:02Our servers can't display resilience ...but our systems can
- 7:06Complexity is the enemy of a well maintained system
- 7:39How do we cope with
- 9:35We need to execute Chaos Engineering experiments to find the bugs
- 10:21Chaos Engineering develops intuition
- 10:47Always follow best practices to ensure system availability
- 11:36Deploy on a
- 12:34don't guarantee safe actions
- 13:53Effective Retrospectives require actionable follow up items
- 15:04How do we know our Retrospectives are effective?
- 16:11Root Cause
- 17:21is equally
- 18:50with Contributing Factors
- 19:37The frequency and severity of incidents are good indicators of how safe we are.
- 22:53Share expertise instead of numbers
- 23:12Our worst incidents produce the greatest learning experiences
- 24:32Look to close calls
- 24:48Error Budgets can be used to control risk
- 27:57You don't know much about by counting errors
- 29:02"How Complex Systems Fail" Dr. Richard Cook
- 29:35Can't plan for everything
- 29:47Embrace
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