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About the Book
The full transcript of Software Diagnostics Services training with 12 step-by-step exercises. Learn how to analyze app crashes and freezes, navigate through process core memory dump space and diagnose corruption, memory leaks, CPU spikes, blocked threads, deadlocks, wait chains, and much more. We use a unique and innovative pattern-driven analysis approach to speed up the learning curve. The training consists of practical step-by-step exercises using Xcode and LLDB environments, highlighting more than 30 analysis patterns from Software Diagnostics Institute diagnosed in ARM64 process core memory dumps. The training also includes an overview of relevant similarities and differences between Windows and macOS user space memory dump analysis useful for engineers with a Wintel background and the relevant ARM64 disassembly tutorial. The course is thoroughly updated for the latest macOS version and M2 platform. The primary audience for this training is software technical support and escalation engineers who analyze crash reports and memory dumps, quality assurance and software engineers who test and debug macOS software, security and vulnerability researchers, and malware and memory forensics analysts who have never used LLDB for the analysis of computer memory.
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.