CNCF Member Webinar - DevOps from a Different Data-set

CNCF Member Webinar - DevOps from a Different Data-set

CNCF [Cloud Native Computing Foundation] via YouTube Direct link

Primary application or service you work on

6 of 30

6 of 30

Primary application or service you work on

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CNCF Member Webinar - DevOps from a Different Data-set

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  1. 1 Intro
  2. 2 Performance derived vs performance described
  3. 3 160,000 projects
  4. 4 What's changed year over year?
  5. 5 Most projects configured to run per push to git server
  6. 6 Primary application or service you work on
  7. 7 How long does it take to get results?
  8. 8 % of builds finish in 12 seconds
  9. 9 Half of all builds finish in under 4 minutes
  10. 10 How often does your pipeline complete with a green status?
  11. 11 Time a pipeline sits in a failure state
  12. 12 Peak Throughput was April 2020
  13. 13 After April, Throughput falls a bit
  14. 14 Hypothesis: people working hard on core business stability
  15. 15 Hypothesis: Fewer distractions working at home
  16. 16 Branch Information
  17. 17 Success Rate is 80% on the default branch at 50th percentile and 100% for 75th percentile and above
  18. 18 Success Rate at 50p is 80% for default and 58% for non-default branches
  19. 19 Duration on default branches are faster at every percentile.
  20. 20 Recovery Time is lower on default branch at every percentile.
  21. 21 What development practices definitively work?
  22. 22 Success Rate does not correlate with company size
  23. 23 Duration is longest for teams of one
  24. 24 Recovery Time decreases with increased team size (up to 200)
  25. 25 Longest Recovery Times are from teams of one.
  26. 26 Performance is better with more than one contributor as shown by multiple indicators
  27. 27 Software is collaborative
  28. 28 % less Throughput
  29. 29 Final Thoughts
  30. 30 More collaborators means better outcomes

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