About the Book
The full transcript of Software Diagnostics Services training with 16 step-by-step exercises, notes, and source code of specially created modeling applications. Learn live local and remote debugging techniques in the kernel, user process, and managed .NET spaces using WinDbg debugger. The unique and innovative course teaches unified debugging patterns applied to real problems from complex software environments. The fourth edition was fully reworked and updated to use the latest WinDbg, added x64 disassembly review and Rust language to the existing and improved C/C++ and C# exercises.
Prerequisites: Working knowledge of one of these languages: C, C++, C#, Rust. Operating system internals and assembly language concepts are explained when necessary.
Audience: Software engineers, software maintenance engineers, escalation engineers, security and vulnerability researchers, malware and memory forensics analysts who want to learn live memory inspection techniques.
About the Author
Dmitry Vostokov is an internationally recognized expert, speaker, educator, scientist, inventor, and author. He is the founder of pattern-oriented software diagnostics, forensics, and prognostics discipline (Systematic Software Diagnostics), 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, 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 diagnostics, development and big data, and diagnostics of artificial intelligence.