The magical fantasy land of Linux kernel testing

on YouTube ↗41m

" summary

Linux kernel testing faces scale: over 14,000 commits and 1,800+ developers per release, thousands of distro and vendor variants, and hardware ranges from 512 TB machines to SOC farms. The ecosystem uses per‑patch CI (kernelci and bots like syzbot), built‑in selftests and kunit, LTP for functional suites, fuzzers, LAVA/Fuego for device farms, and release‑candidate testing — the talk shows which tools run where, which tests are fast enough for robots, and where results remain siloed.

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" chapters (49)

1. 0:00Introduction
2. 1:45The problem of scale
3. 2:20Maintaining errs
4. 3:10Kernel versions
5. 3:43Whats the fault
6. 4:37Hardware
7. 5:35Userspace
8. 5:58What are we testing
9. 6:12Testing for regression
10. 6:36We have to compromise
11. 6:53Lets break things down
12. 7:17How much is someone tested
13. 7:52What can a developer do
14. 8:33Selftests
15. 9:37Unit tests
16. 10:12Code on the mailing list
17. 10:41The first email you get
18. 10:56The attack of the robots
19. 11:13Automated replies
20. 11:51What robots do
21. 12:38Support the robot uprising
22. 13:33I wrote that
23. 13:45So the code has satisfied
24. 14:00What happens now
25. 14:16The persona of a reviewer
26. 15:05What is a review of run
27. 15:41The maintainer
28. 17:53Linux Next
29. 18:07Kernel Testing
30. 19:11The Problem
31. 19:28CoCo
32. 20:13Whats happening
33. 21:08Release candidates
34. 21:25Will someone use it
35. 22:07LTP
36. 22:50Fuzzing
37. 23:33Distribution
38. 24:44Bugs
39. 25:23Shifting responsibility
40. 27:45Workflow problems
41. 28:43No cheating
42. 29:20Takeaways
43. 30:59What do we do
44. 34:00What happens next
45. 34:20Maintaining
46. 34:42A common test result format
47. 35:49Kernel Coorg
48. 36:36Publishing test results
49. 37:18QA

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