About the Book
The full color transcript of Software Diagnostics Services training sessions with 20 step-by-step exercises, notes, source code of specially created modeling applications and more than 60 questions and answers. Covers more than 50 crash dump analysis patterns from x86 and x64 process memory dumps. Learn how to analyse application and service crashes and freezes, navigate through process user space and diagnose heap corruption, memory and handle leaks, CPU spikes, blocked threads, deadlocks, wait chains, and much more. The training uses a unique and innovative pattern-oriented analysis approach developed by 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, site reliability engineers. The 5th edition was fully reworked with additional slides, exercises, and analysis patterns.
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), and Software Pathology. His current areas of interest are theoretical software diagnostics and its mathematical and computer science foundations, application of 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.