Accelerated .NET Memory Dump Analysis: Training Course Transcript with WinDbg and LLDB Practice Exercises, Seventh Edition

The full Software Diagnostics Services training transcript with 15 step-by-step exercises, notes, and source code of specially created modeling applications. The course covers 22 .NET memory dump analysis patterns, plus the additional 21 unmanaged patterns. Learn how to analyze .NET 9 application and service crashes and freezes, navigate through memory dump space (managed and unmanaged code), and diagnose corruption, leaks, CPU spikes, blocked threads, deadlocks, wait chains, resource contention, and more. The training consists of practical step-by-step exercises using WinDbg and LLDB debuggers to diagnose patterns in 64-bit process memory dumps from x64 Windows and x64 Linux environments. The training uses a unique and innovative pattern-oriented analysis approach to speed up the learning curve. The book is a completely revamped and extended the previous Accelerated .NET Core Memory Dump Analysis, Revised Edition. It is updated to the latest WinDbg. It also includes reviews of x64 and IL disassembly and memory space basics, Linux LLDB exercises, .NET memory dump collection on Windows and Linux, and the relationship of analysis patterns to defect mechanism patterns.

Prerequisites: Basic .NET programming and debugging.

Audience: Software technical support and escalation engineers, system administrators, DevOps, performance and reliability engineers, software developers, and quality assurance engineers. The book may also interest security researchers, reverse engineers, malware and memory forensics analysts.

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 and Observability 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.