The full-color transcript of Software Diagnostics Services training. Learn how to analyze Linux process and kernel crashes and hangs, navigate through core memory dump space and diagnose corruption, memory leaks, CPU spikes, blocked threads, deadlocks, wait chains, and much more. This training uses a unique and innovative pattern-oriented diagnostic analysis approach to speed up the learning curve. The training consists of 47 practical step-by-step exercises using GDB and WinDbg debuggers, highlighting almost 40 memory analysis patterns diagnosed in 64-bit core memory dumps from x64 and ARM64 platforms. The training also includes source code of modeling applications, a catalog of relevant patterns from the Software Diagnostics Institute, and an overview of relevant similarities and differences between Windows and Linux memory dump analysis useful for engineers with a Wintel background. In addition to various improvements, the third edition includes a review of relevant x64 and ARM64 disassembly and a new set of ARM64 GDB exercises.
Author Biography:
Dmitry Vostokov is an internationally recognized expert, speaker, educator, scientist, and author. He is the founder of pattern-oriented software diagnostics, forensics and prognostics discipline, and Software Diagnostics Institute. Vostokov has also authored more than 50 books on software diagnostics, anomaly detection and analysis, software and memory forensics, root cause analysis and problem solving, memory dump analysis, debugging, software trace and log analysis, reverse engineering, and malware analysis. He has more than 25 years of experience in software architecture, design, development, and maintenance in a variety of industries including leadership, technical and people management roles. Dmitry also founded Syndromatix, Anolog.io, BriteTrace, DiaThings, Logtellect, OpenTask Iterative and Incremental Publishing, and Software Diagnostics Technology and Services (former Memory Dump Analysis Services) and Software Prognostics. In his spare time, he presents various topics on Debugging TV and explores Software Narratology, its further development as Narratology of Things and Diagnostics of Things (DoT), Software Pathology, and Quantum Software Diagnostics. His current areas of interest are theoretical software diagnostics and its mathematical and computer science foundations, application of formal logic, artificial intelligence, machine learning and data mining to diagnostics and anomaly detection, software diagnostics engineering and diagnostics-driven development, diagnostics workflow and interaction. Recent interest areas also include cloud native computing, security, automation, functional programming, and applications of category theory to software development and big data.
