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Optimizing for Learning (SRECon Americas 2019)

Optimizing for Learning (SRECon Americas 2019)

The talk is about the most powerful observability system SREs have at their disposal: the human mind! I draw from cognitive science to discuss how we can improve how we learn and store information about our systems in our brains in order to respond better to incidents and anomalies. It's a talk broken into four parts: preparing to learn, gaining knowledge, building mental models, and enabling a team to learn well together.

Logan McDonald

March 24, 2019
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  1. - John Allspaw, “Monitoring Considerations” “one of the most powerful

    context-sensitive incredibly adaptive anomaly-detecting and responding agents in the world”
  2. 1. Signal learning 2. Stimulus-response learning 3. Chaining 4. Verbal

    association 5. Discrimination learning 6. Concept learning 7. Rule learning 8. Problem solving
  3. 1. Signal learning 2. Stimulus-response learning 3. Chaining 4. Verbal

    association 5. Discrimination learning 6. Concept learning 7. Rule learning 8. Problem solving
  4. “Emphasizing natural intelligence takes it out of the child’s control,

    and it provides no good recipe for responding to failure” - Carol Dweck
  5. In summary: Study! • Low-stakes test • Practice retrieval •

    Delay and interleave • Use the Leitner Boxes • Build memory palaces
  6. In summary: Abstract! • Build Frillfin Goby- level mental models

    • Events -> Patterns -> Structure • Observe and reflect • Experience different types of systems
  7. In summary: Learn together! • Embrace cultural memory • Have

    a growth mindset • Build psychologically safe workspaces