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Linux Kernel Debugging

You're reading from   Linux Kernel Debugging Leverage proven tools and advanced techniques to effectively debug Linux kernels and kernel modules

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Product type Paperback
Published in Aug 2022
Publisher Packt
ISBN-13 9781801075039
Length 638 pages
Edition 1st Edition
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Author (1):
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Kaiwan N. Billimoria Kaiwan N. Billimoria
Author Profile Icon Kaiwan N. Billimoria
Kaiwan N. Billimoria
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Toc

Table of Contents (17) Chapters Close

Preface 1. Part 1: A General Introduction and Approaches to Kernel Debugging
2. Chapter 1: A General Introduction to Debugging Software FREE CHAPTER 3. Chapter 2: Approaches to Kernel Debugging 4. Part 2: Kernel and Driver Debugging Tools and Techniques
5. Chapter 3: Debug via Instrumentation – printk and Friends 6. Chapter 4: Debug via Instrumentation – Kprobes 7. Chapter 5: Debugging Kernel Memory Issues – Part 1 8. Chapter 6: Debugging Kernel Memory Issues – Part 2 9. Chapter 7: Oops! Interpreting the Kernel Bug Diagnostic 10. Chapter 8: Lock Debugging 11. Part 3: Additional Kernel Debugging Tools and Techniques
12. Chapter 9: Tracing the Kernel Flow 13. Chapter 10: Kernel Panic, Lockups, and Hangs 14. Chapter 11: Using Kernel GDB (KGDB) 15. Chapter 12: A Few More Kernel Debugging Approaches 16. Other Books You May Enjoy

Summary

In this chapter, you learned what kprobes and kretprobes are and how to exploit them to add useful telemetry (instrumentation) to your project or product in a dynamic fashion. We saw that you can even use them on production systems (though you should be careful to not overload the system).

We first covered the traditional static approach to using k[ret]probes, one where any change will require a recompile of the code; we even provided a semi-automated script to generate a kprobe as required. We then covered the better, efficient, dynamic kprobe tracing facilities that are built into modern Linux kernels. Using these techniques is not only a lot easier but has other advantages – they're pretty much always built into the kernel, no new code is required at the last minute on production systems, and running them is more efficient under the hood. As a bonus, you learned how to leverage the kernel's ftrace-based event tracepoints – a large number of kernel...

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