Course Overview
This course provides in-depth training on Linux kernel debugging techniques, tools, and methodologies. Participants will gain the skills to diagnose and resolve kernel crashes, deadlocks, race conditions, performance bottlenecks, and more. Real-world scenarios and hands-on labs ensure proficiency in Linux kernel debugging.
Course Objectives
- Understand Linux kernel architecture and debugging challenges.
- Use tools like GDB, KGDB, ftrace, and perf for kernel debugging.
- Analyze kernel crashes, stack traces, and logs effectively.
- Debug kernel synchronization and memory management issues.
- Apply debugging techniques to real-world scenarios.
Learning Outcomes
By the end of this course, participants will be able to:
- Debug kernel crashes and analyze crash dumps.
- Resolve kernel deadlocks and race conditions.
- Profile and optimize kernel performance using tools like perf and ftrace.
- Debug memory management and I/O subsystem issues.
Who Should Attend
- Linux Kernel Developers
- System Programmers
- Linux System Administrators
- Software Engineers in Embedded Systems
Target Industries:
- IT and Software Development
- Embedded Systems and Hardware Development
- Cloud Computing and Infrastructure Management
Prerequisites
- Basic knowledge of Linux OS and command-line tools.
- Experience with C programming.
- Familiarity with Linux kernel development or system programming is recommended.
Key Topics
Day 1: Introduction to Linux Kernel Debugging
- Session 1: Linux Kernel Architecture and Debugging Basics
- Key components and subsystems
- Debugging in user space vs. kernel space
- Session 2: Kernel Debugging Tools
- Overview of tools: GDB, KGDB, kdump, etc.
- Hands-On: Configuring and using KGDB for remote debugging
Day 2: Advanced Kernel Debugging Techniques
- Session 1: Crash Analysis with kdump
- Analyzing crash dumps and resolving crashes
- Hands-On: Trigger and analyze kernel crashes
- Session 2: Tracing and Logging
- Using dmesg, syslog, and ftrace for tracing kernel functions
- Hands-On: Analyze kernel logs and trace kernel functions
- Session 3: Debugging Performance Issues
- Using perf for performance profiling
- Hands-On: Debugging performance bottlenecks
Day 3: Real-World Kernel Debugging Scenarios
- Session 1: Debugging Synchronization Issues
- Handling race conditions and deadlocks
- Hands-On: Detect and resolve kernel synchronization issues
- Session 2: Debugging Memory and I/O Issues
- Using kmemleak and tools for memory management debugging
- Hands-On: Debug memory leaks and I/O subsystem problems
- Session 3: Case Studies and Best Practices
- Real-world scenarios and complex kernel debugging challenges
- Group Exercise: Solve a kernel bug based on case studies
Why Choose This Course?
- 100% HRDC Claimable
- Hands-on labs and real-world case studies
- Focus on advanced kernel debugging tools and techniques
Lab Setup Requirements
- Hardware: Physical systems or virtual machines for kernel debugging experiments
- Software:
- Linux system with debugging tools (GDB, KGDB, ftrace, kdump)
- Linux kernel source code for hands-on exercises
