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Challenge

Exercise

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It’s essential to examine core dumps to diagnose any non-trivial hangs or crashes due to a user process or the kernel faults. Most people have no training in dealing with core dumps, so the causes of most crashes remain undiagnosed.

This course starts with debugging core dumps. You will learn how to debug the Linux process and kernel failures (using the GDB debugger and the crash utility), browse core memory dumps, identify corruption, memory leaks, CPU spikes, halted threads, deadlocks and wait chains, among other things.

Instead of taking a theoretical route, you will focus on hands-on lessons on a variety of memory analysis patterns found in 64-bit core memory dumps from the x64 architecture. You will follow the novel pattern-oriented diagnostic analysis approach that considerably helps with the analysis. Moreover, the course will provide you with problematic applications and the associated core dumps, along with brief descriptions of relevant patterns and some frequently asked questions.

Accelerated Linux Core Dump Analysis

**Pattern oriented diagnostic analysis** is used to identify and diagnose problems in software systems. It is based on the idea that many software problems are recurrent and have similar patterns. By recognizing these patterns, it’s possible to diagnose problems more quickly and effectively.

Learn what pattern-oriented diagnostic analysis is and how it can help you become better at core dump analysis.

Getting Started

Fundamentals of Core Dump Analysis

Using GDB With Multi-Threaded Applications

Null Pointer Patterns and External Debugging Information

Spiking Threads

Heap Corruption

Stack Corruption and Overflow

Active Threads

Runtime Exceptions and Execution Residues

Heap Errors

Deadlocks

Post-processing

Kernel Dump Analysis with Crash

Wrapping Up

Appendix

Pattern-Oriented Diagnostic Analysis