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Data-driven business decisions.
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Classroom Contents
Cultivating Production Excellence
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- 1 Intro
- 2 Production is increasingly complex.
- 3 We're adding complexity all the time.
- 4 Our strategies need to evolve.
- 5 When we order the alphabet soup...
- 6 Noisy alerts. Grumpy engineers.
- 7 Walls of meaningless dashboards.
- 8 Tools aren't magical.
- 9 Invest in people, culture, & process.
- 10 Eliminate (unnecessary) complexity.
- 11 Our systems are always failing.
- 12 We need Service Level Indicators
- 13 What threshold buckets events?
- 14 HTTP Code 200? Latency 100ms?
- 15 Set a target Service Level Objective.
- 16 Use a window and target percentage.
- 17 Data-driven business decisions.
- 18 Failure modes can't be predicted.
- 19 Support debugging novel cases. In production.
- 20 Allow forming & testing hypotheses.
- 21 Can you explain the variance?
- 22 Observability isn't just the data.
- 23 Debugging is not a solo activity.
- 24 Debugging is for everyone.
- 25 Collaboration is interpersonal.
- 26 Lean on your team.
- 27 Fix hero culture. Share knowledge.
- 28 Use the same platforms & tools.
- 29 Reward curiosity and teamwork.
- 30 Risk analysis helps us plan.
- 31 Quantify risks by frequency & impact.
- 32 And prioritize completing the work.
- 33 Don't waste time chrome polishing.
- 34 Lack of observability is systemic risk.
- 35 So is lack of collaboration.
- 36 A dozen engineers build Honeycomb.
- 37 We make systems humane to run
- 38 Yes, we deploy on Fridays.
