Email the Author
You can use this page to email Dmitry Vostokov about Accelerated Linux Core Dump Analysis.
About the Book
The full transcript of Software Diagnostics Services training. Learn how to analyse Linux process crashes and hangs, navigate through process core memory dump space and diagnose corruption, memory leaks, CPU spikes, blocked threads, deadlocks, wait chains, and much more. This book uses a unique and innovative pattern-oriented diagnostic analysis approach to speed up the learning curve. The training consists of 13 practical step-by-step exercises using GDB debugger highlighting more than 25 memory analysis patterns diagnosed in 64-bit process core memory dumps. The training also includes source code of modelling applications, a catalogue of relevant patterns from Software Diagnostics Institute, and an overview of relevant similarities and differences between Windows and Linux user space memory dump analysis useful for engineers with Wintel background.
About the Author
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.