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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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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

Chapter 3: Debug via Instrumentation – printk and Friends

Quick, think: how often have you interspersed printf() instances (or the equivalent) in your program in order to follow its progress as it executes code, and indeed, to see at approximately which point it (perhaps) crashes? Often, I'm guessing! Don't feel bad at all, this is a really good debugging technique! It has a fancy name to boot: instrumentation.

What you've been doing is instrumenting your code, allowing you to see the flow (depending on the granularity of your print statements); this allows you to understand where it's been. Often enough, this is all that's required to debug many situations. Do recollect, though, what we discussed in the previous chapter – a technique like instrumentation is typically useful in certain circumstances, not all. For example, a resource leak (such as a memory leak) defect is difficult, if not impossible, to debug with instrumentation. For most...

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