Accelerated Windows Memory Dump Analysis, Sixth Edition, Part 1, Process User Space: Training Course Transcript and WinDbg Practice Exercises with Notes

Author:   Dmitry Vostokov ,  Software Diagnostics Services
Publisher:   Opentask
Edition:   6th ed.
ISBN:  

9781912636921


Pages:   356
Publication Date:   27 January 2024
Format:   Paperback
Availability:   In stock   Availability explained
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Accelerated Windows Memory Dump Analysis, Sixth Edition, Part 1, Process User Space: Training Course Transcript and WinDbg Practice Exercises with Notes


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Overview

This book is a full-color transcript of Software Diagnostics Services training sessions with 22 step-by-step exercises, notes, source code of specially created modeling applications, and more than 70 questions and answers. Covers more than 50 crash dump analysis patterns from x86 and x64 process memory dumps. Learn how to analyze 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 many more 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 Windows 11 memory dumps, relevant x64 assembly language review, and a Rust memory dump analysis example.

Full Product Details

Author:   Dmitry Vostokov ,  Software Diagnostics Services
Publisher:   Opentask
Imprint:   Opentask
Edition:   6th ed.
Dimensions:   Width: 21.60cm , Height: 2.30cm , Length: 27.90cm
Weight:   1.143kg
ISBN:  

9781912636921


ISBN 10:   1912636921
Pages:   356
Publication Date:   27 January 2024
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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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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