Accelerated .Net Memory Dump Analysis: Training Course Transcript and Windbg Practice Exercises with Notes -

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Résumé :
The full transcript of Memory Dump Analysis Services Training with 7 step-by-step exercises, notes, source code of specially created modeling applications and selected questions and answers. Covers 20 .NET memory dump analysis patterns plus additional unmanaged patterns. Learn how to analyze .NET 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 much more. The training consists of practical step-by-step exercises using WinDbg to diagnose patterns in 32-bit and 64-bit process memory dumps. The training uses a unique and innovative pattern-driven analysis approach to speed up the learning curve. Prerequisites: Basic .NET programming and debugging. Audience: Software technical support and escalation engineers, system administrators, software developers and quality assurance engineers.

Biographie:
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 security, functional programming, and applications of category theory to software development and big data.