Synopsis
The full-color transcript of Software Diagnostics Services training sessions with 14 step-by-step exercises, notes, source code of specially created modeling applications, and 45 questions and answers. Covers more than 35 crash dump analysis patterns from x64 kernel and complete (physical) memory dumps. Learn how to analyze system crashes and freezes, navigate through the kernel and complete spaces, and diagnose patterns of abnormal software behavior with WinDbg debugger. The training uses a unique and innovative pattern-oriented analysis approach developed by the Software Diagnostics Institute to speed up the learning curve. Prerequisites: Basic Windows troubleshooting. Audience: Software technical support and escalation engineers, system administrators, security researchers, reverse engineers, malware and memory forensics analysts, software developers and quality assurance engineers, and site reliability engineers. The 6th edition was fully reworked for the latest WinDbg version and includes additional relevant x64 assembly language review and BSOD analysis pattern strategy outline.
About the Author
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, applications of category theory to software development and big data, and diagnostics of artificial intelligence.
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