Book Image

Linux Kernel Debugging

By : Kaiwan N. Billimoria
Book Image

Linux Kernel Debugging

By: Kaiwan N. Billimoria

Overview of this book

The Linux kernel is at the very core of arguably the world’s best production-quality OS. Debugging it, though, can be a complex endeavor. Linux Kernel Debugging is a comprehensive guide to learning all about advanced kernel debugging. This book covers many areas in-depth, such as instrumentation-based debugging techniques (printk and the dynamic debug framework), and shows you how to use Kprobes. Memory-related bugs tend to be a nightmare – two chapters are packed with tools and techniques devoted to debugging them. When the kernel gifts you an Oops, how exactly do you interpret it to be able to debug the underlying issue? We’ve got you covered. Concurrency tends to be an inherently complex topic, so a chapter on lock debugging will help you to learn precisely what data races are, including using KCSAN to detect them. Some thorny issues, both debug- and performance-wise, require detailed kernel-level tracing; you’ll learn to wield the impressive power of Ftrace and its frontends. You’ll also discover how to handle kernel lockups, hangs, and the dreaded kernel panic, as well as leverage the venerable GDB tool within the kernel (KGDB), along with much more. By the end of this book, you will have at your disposal a wide range of powerful kernel debugging tools and techniques, along with a keen sense of when to use which.
Table of Contents (17 chapters)
1
Part 1: A General Introduction and Approaches to Kernel Debugging
4
Part 2: Kernel and Driver Debugging Tools and Techniques
11
Part 3: Additional Kernel Debugging Tools and Techniques

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...