Linux Debug Training (Part-2)

Master Linux debugging tools and methodologies covering both userspace and kernel space

What you'll learn

Gain hands-on experience with a wide range of Linux debugging tools and methodologies which covers both userspace and kernel space

Understand techniques to identify and fix memory issues, performance bottleneck and system errors for more robust and efficient software development.

Acquire specialized skills to debug the Linux based application, including analysis of coredumps, using GDB and binutils

Gain expertise in Linux kernel debugging, including OOPS analysis, KGDB debugging, and detecting subtle issues with sanitizers.

Build a strong foundation in debugging real-world issues and advance your career in Linux development, embedded systems, DevOps, or kernel engineering.

Requirements

Basic understanding of the Linux operating system and familiarity with the Linux command line are recommended.

Although not essential, we recommend you complete part 1 of this course before beginning part 2.

Description

Linux is at the heart of our modern world. From the devices we carry in our pockets to the systems that power industries, Linux, and particularly embedded Linux, plays a pivotal role. It drives the technology behind smart home devices, medical equipment, automotive systems, and so much more. These systems aren't just conveniences—they're critical to how we live, work, and innovate.The world of software development is changing rapidly. With the rise of AI-assisted coding, many teams are generating large volumes of code quickly and at scale. While this can accelerate development, it often introduces subtle bugs and hard-to-diagnose issues that AI cannot fix. As companies increasingly rely on AI to handle routine coding tasks, there will be a growing need for engineers with advanced debugging expertise who can step in when things go wrong. This course prepares you for that future by giving you the ability to understand and correct issues that go beyond the reach of automated tools.One of the challenges in learning these advanced skills is that the information is scattered across countless sources, often buried in outdated documentation or fragmented tutorials. Searching the web for answers can be frustrating and extremely time-consuming. This course brings everything together in one structured, practical program so you can focus on learning rather than piecing together random information.This second part of the Linux Debugging course builds on the foundation provided by Part 1. It takes you into the advanced areas of Linux debugging where you move beyond the basics and begin to explore the powerful techniques used by senior engineers to solve the most difficult and elusive problems in complex Linux systems.You will learn how to trace both user space and kernel space activity, giving you deep insight into how processes and the kernel interact at runtime. You will gain expertise in advanced profiling techniques for memory, CPU, and hardware performance analysis, as well as approaches for visualizing data to better understand where performance bottlenecks occur. Finally, you will develop the ability to debug at the kernel level, diagnosing kernel crashes and runtime errors, using interactive kernel debuggers, and working with modern diagnostic tools like KASAN, UBSAN, and KCSAN. These skills will give you the confidence to fix problems that others may find impossible to diagnose.By the end of our course, you will have acquired a comprehensive set of techniques for tracing, profiling, and debugging at every level of the Linux system. Whether you are working on embedded devices, cloud infrastructure, or mission-critical systems, these skills will allow you to diagnose and solve the toughest problems with confidence.If you want to become the person others rely on when complex, high-stakes issues arise, this course will give you the expertise and the confidence to take on that role.

Overview

Section 1: Linux Debug Training (Part-2) Introduction

Lecture 1 Introduction

Section 2: Module 5 - Tracing in Linux

Lecture 2 Tracing Introduction

Lecture 3 Userspace application tracing

Lecture 4 User Level Probe (Uprobe)

Lecture 5 User level tracing with Perf

Lecture 6 Kernel Level Tracing

Lecture 7 Perf event tracing

Lecture 8 Perf Dynamic Tracepoints

Lecture 9 Ftrace

Lecture 10 trace-cmd

Lecture 11 Kernel Shark

Lecture 12 trace_printk() utility

Lecture 13 eBPF introduction

Lecture 14 BCC Tools

Lecture 15 BPF Trace tool

Lecture 16 eBPF development infrastructure

Lecture 17 LTTng Introduction

Lecture 18 LTTng Tracepoint

Lecture 19 LTTng Tracing Demonstration

Lecture 20 Module 5 Summary

Section 3: Module 6- Profiling in Linux

Lecture 21 Profiling Introduction

Lecture 22 Data visualisation

Lecture 23 Memory based profiling

Lecture 24 Heaptrack

Lecture 25 Memusage

Lecture 26 Execution based profiling

Lecture 27 Sysprof

Lecture 28 GNU profiler

Lecture 29 Callgrind

Lecture 30 Cachegrind

Lecture 31 Perf Stat

Lecture 32 CPU frequency profiling

Lecture 33 Module 6 closure

Section 4: Module 7 - Linux Kernel Debugging

Lecture 34 Kernel Debugging Introduction

Lecture 35 Kernel Logging Utility

Lecture 36 Dynamic Debugging

Lecture 37 Dynamic Debugging demonstration

Lecture 38 Kernel Crash Debugging

Lecture 39 Kernel OOPs analysis

Lecture 40 Kernel Crash using SysRQ

Lecture 41 Kexec and Kdump

Lecture 42 Magic SysRQ

Lecture 43 Lockdep

Lecture 44 KCSAN

Lecture 45 KMEMLEAK

Lecture 46 KASAN

Lecture 47 KFENCE

Lecture 48 UBSAN

Lecture 49 Kernel Debugger

Lecture 50 KGDB Setup

Lecture 51 KGDB Demonstration

Lecture 52 Module 7 Closure

Section 5: Linux Debug Training Closure

Lecture 53 Closing Remarks

Linux application developers,Linux Kernel developers,Embedded System engineers,System administrator,DevOps Engineers,Site reliability engineers (SREs),Students and Enthusiasts,Technical Instructors