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 the chapters help you to learn precisely what data races are and how to handle them, including using KCSAN to detect them. Some thorny issues, both debug- and performance-wise, require detailed kernel-level tracing, and 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, along with much more.

By the end of this Linux book, you will have at your disposal the entire range of powerful kernel debugging tools and techniques, along with a keen sense of when to use which.

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Spis treści

Linux Kernel Debugging. Leverage proven tools and advanced techniques to effectively debug Linux kernels and kernel modules eBook -- spis treści

• 1. A General Introduction to Debugging Software
• 2. Approaches to Kernel Debugging
• 3. Debug via Instrumentation – printk and Friends
• 4. Debug via Instrumentation – Kprobes
• 5. Debugging Kernel Memory Issues – Part 1
• 6. Debugging Kernel Memory Issues – Part 2
• 7. Oops! Interpreting the Kernel Bug Diagnostic
• 8. Lock Debugging
• 9. Tracing the Kernel Flow
• 10. Kernel Panic, Lockups, and Hangs
• 11. Using Kernel GDB (KGDB)
• 12. A Few More Kernel Debugging Approaches