Memory Dump Analysis Anthology, Volume 17
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Memory Dump Analysis Anthology, Volume 17

About the Book

This reference volume consists of revised, edited, cross-referenced, and thematically organized selected articles from Software Diagnostics and Observability Institute and Software Diagnostics Library about software diagnostics, root cause analysis, debugging, crash and hang dump analysis, software trace and log analysis written from 15 April 2024 to 14 November 2025 for software engineers developing and maintaining products on Windows platforms, quality assurance engineers testing software, technical support, DevOps and DevSecOps, escalation and site reliability engineers dealing with complex software issues, security and vulnerability researchers, reverse engineers, malware and memory forensics analysts, data science and ML/AI researchers and engineers. This volume is fully cross-referenced with volumes 1 – 16:

Compared to Volume 16, Volume 17 features:

  • 6 new crash dump analysis patterns
  • 11 new software trace and log analysis patterns
  • Introduction to pattern-oriented observability
  • Introduction to software morphology
  • Introduction to geometric theory of traces and logs
  • Introduction to pattern-oriented intelligence and AI
  • Introduction to agentic narratology and workflow diagnostic pattern language
  • Introduction to algebra of prompting and context management pattern language
  • Logics of memory dump and trace analysis
  • Introduction to pattern-oriented system logic
  • Introduction to ontological diagnostics
  • Machine learning as memory dump analysis
  • The stomach metaphor for AI and pattern metabolism
  • OS internals and category theory
  • Introduction to pattern category theory
  • Meta-diagnostic and categorical unification of software diagnostics and digital pathology
  • A Lego model as an autoencoder and Lego disassembly as tokenization
  • Memoidealism as a post-computational philosophy of AI
  • Lists of recommended books

The primary audience for Memory Dump Analysis Anthology reference volumes (Diagnomicon) is software engineers developing and maintaining products on Windows and Linux platforms, technical support, escalation, site reliability, and cloud engineers dealing with complex software issues, DevOps and DevSecOps, quality assurance engineers testing software, security and vulnerability researchers, reverse engineers, malware and memory forensics analysts, data scientists and ML/AI researchers and engineers.

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    • Operating System Development
    • Databases
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    • Resiliency
    • Software Engineering
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    • Data Science
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    • Philosophy
    • Biographies
    • Mathematics
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About the Author

Dmitry Vostokov
Dmitry Vostokov

Dmitry Vostokov is an internationally recognized expert, speaker, educator, scientist, inventor, and author. He founded the pattern-oriented software diagnostics, forensics, and prognostics discipline (Systematic Software Diagnostics) and Software Diagnostics Institute. Vostokov has also authored over 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 over 30 years of experience in software architecture, design, development, and maintenance in various industries, including leadership, technical, and people management roles. Dmitry founded OpenTask Iterative and Incremental Publishing and Software Diagnostics Technology and Services (former Memory Dump Analysis Services). In his spare time, he explores Software Narratology and Quantum Software Diagnostics. His interest areas are theoretical software diagnostics and its mathematical and computer science foundations, application of formal logic, semiotics, 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 functional programming, cloud native computing, monitoring, observability, visualization, security, automation, applications of category theory to software diagnostics, development and big data, and diagnostics of artificial intelligence.

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Table of Contents

Preface 9

About the Author 10

PART 1: Crash Dump Analysis Patterns 11

Not My Version (Linux) 11

Function Pointer (Linux) 12

Missing Thread (Kernel Space) 13

Interrupt Stack Collection 15

DPC Stack Collection 18

Dump Context 26

PART 2: Software Trace Analysis Patterns 27

Feynman Trace 27

Trace Sketch 29

Trace Model 30

Message Type 32

Implicit Message 33

Trace Parameters and Hyperparameters 34

Trace Precision and Recall 36

Trace Polynomial 38

Trace Embedding 39

Trace Context 40

Trace Plan 41

PART 3: Software Diagnostics, Root Cause Analysis, Troubleshooting, and Debugging 43

Declarative Memory 43

Biographies of Software 45

Situational Awareness in Pattern-Oriented Software Diagnostics, Forensics, Prognostics 46

OS Internals and Category Theory 49

From Software Diagnostics to Digital Pathology 50

Logic of Pattern-Oriented Memory Dump Analysis 51

Logic of Pattern-Oriented Trace and Log Analysis 52

Pattern-Oriented System Logic 53

Ontological Diagnostics 54

Geometric Theory of Traces and Logs 55

Traces and Logs as Pseudocode 56

Reversing Traces and Logs and Generating Source Code 57

Introducing Software Morphology 61

PART 4: Pattern-Oriented Observability 65

The Base Slab and Foundation of Observability Pillars 65

Semiotics of Memory, Trace, and Log Analysis 67

Observation Spaces 69

Diagnostics – Observability Square (DOS) 72

Books about Observability 75

PART 5: Pattern-Oriented AI 77

Definition 77

Pattern-Oriented LLM Context Management 78

Context Management Pattern Language 81

Agentic Workflow Diagnostic Pattern Language 85

Algebra of Prompting and Conversation with LLMs 86

Software and Cloud Internals Analogies to LLMs and Agentic AI Systems 87

Agentic Narratology 88

Memoidealism as a Post-computational Philosophy of AI 89

Introducing Pattern Metabolism 90

The Stomach Metaphor for AI 92

Pattern-Oriented Intelligence (POI) and WinDbg 94

Pattern Category Theory 96

Machine Learning as Memory Dump Analysis 98

PART 6: Fun with Debugging, Crash Dumps, and Traces 101

Diagnostics and Debugging in Science Fiction 101

Debugging Slang 102

MAIN PAIN 102

SF 102

Peasant 102

Orgasm 102

LLM 102

POETIC 103

POETRY 103

Debugging Food 104

We are Bugs 104

DAMn IT 104

Can AI be Sick? 105

The Good Software Bugs 106

Three Categories of Time 107

Uncountable 108

Esenin and Debugging 109

It's Overloaded. I'm Overwhelmed 110

Less Exceptional C++ 111

Superstitions and Software Diagnostics 112

Questioning Error Message 113

Ireland's Most Prolific IT Book Author 113

Vostorg 114

ParadoxDbg 115

LLMous 116

Forensic Analysis 119

Gulliver’s Travels in Cyberspace and AI Land 120

AI Body Sickness 121

Halloween Influence 122

Pseudo-Scientific Abstract 123

PART 7: Art and Photography 125

Diagnostician’s Delights 125

Where Do You Want to Go Today? 126

Layers 127

COFFee 127

π 129

Picture of Myself 130

Work Environment 132

Impossible at Vikings’ Time 133

Russian History Underflow and Overflow 134

Kazimir Malevich's Art 136

Yet Another Mind Model 137

From Bears to Sheep in 2001 138

It Got My Attention 139

PART 8: Miscellaneous 141

Quotes 141

My Favorite Category Theory Books (Continuation) 143

Books That Influenced Me 162

Data Science, AI, ML Books 174

Logic Books 192

Quantum Books 194

Weekly IT (WIT) Books 196

Other Books 207

When I was a Book Reviewer 246

The Book That Inspired Me to Science 248

Reflections on 2024 249

Linear Computers 250

My First Programming Language 251

URSS Principle 251

Treasure Box 252

Irish Public Libraries 253

InTouch 254

First English Fiction Book 255

My First Published Books 256

AI Big Bang 257

Software Surgery 258

Citrix, Karlsruhe, Germany 259

One Hundred Years of Mausoleum 260

Cats and Rabbits 261

A Software Engineer Reborn 262

My Old Reading Friend 264

Book Collections as Categories: Another Reminder 265

The First Book from Amazon 266

7 Books on a Train 267

The Selfish Genius 274

Debugged! MZ/PE Covers 275

The Post-structure of Scientific Revolutions 285

Promotion Stack 2003 – 2008 286

Propis’ Manual 287

Handwritten Timestamp 290

Memory Visualization 291

Metabooks 295

Original Inception of MemOS 296

Memory Dump Analysis Services Anniversary 297

Debugging Press 298

Semantics and Vector Semantics 299

Attention to Books 300

Book Summaries 301

AI, 1993 302

Speaking Mouse 303

Selected Conversations with ChatGPT 304

Marr and the Universal Language of Embeddings 304

Fourier Analysis for Vibe Coding with Example Vibe Spectra 304

Classical Marxism and GenAI 304

Precision and Recall and Category Theory 304

A Lego Model as An Autoencoder 305

Lego Disassembly as Tokenization 305

Beware of Pseudo-LLMs 307

Counterfactual CV 308

Philosophy Breakfasts 309

PART 9: Autobiobibliography 311

Terminology 311

2001 311

2002 312

2003 (January) 313

2003 (February) 314

2003 (March) 314

2003 (May) 315

2003 (June) 316

Appendix 317

Collection Patterns 317

New Social Media Groups 318

Index of WinDbg Commands 320

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