Learn Generative AI, Prompt Engineering, and LLMs for Free
Build AI Apps with Azure, Copilot, and Generative AI — Microsoft Certified
Overview
AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
Explore the current state and future potential of kernel testing systems in this 37-minute conference talk by Nikolai Kondrashov from Red Hat. Examine the impact of existing kernel-testing systems like 0day, Syzbot, KernelCI, LKFT, and CKI on maintainers and developers. Delve into the challenges of automated test results, including their limited reliability and the chicken-and-egg problem hindering their improvement. Discover potential solutions to enhance the feedback loop and discuss the KCIDB project, developed by Linux Foundation's KernelCI, which aggregates data from various kernel testing systems. Learn about ongoing efforts to improve kernel testing and explore how far these initiatives can go in strengthening the Linux kernel development process.
Syllabus
Kernel CI – How Far Can It Go? - Nikolai Kondrashov, Red Hat
Taught by
Linux Foundation