Memory Thinking for Rust: Slides with Descriptions and Source Code Illustrations, Second Edition

Memory Thinking for Rust reviews memory-related topics from the perspective of software structure and behavior analysis and teaches Rust language aspects in parallel while demonstrating relevant code internals on Windows (x64) and Linux (x64 and ARM64) platforms:

• Relevant language constructs
• Memory layout of structs and enums
• References, ownership, borrowing, and lifecycle
• Unsafe pointers
• Local, static, and dynamic memory
• Functions, closures
• Smart pointers
• Object-oriented and functional features
• Windows and Linux specifics
• ... and much more

The new book edition updates and extends the existing topics, adding some missing from the first edition. The updated book also has a new format similar to the second edition of Memory Thinking books for C and C++.

The book contains slides, brief notes highlighting particular points, and related source code with execution output. The following audiences may benefit from the book:

• Rust developers who want to deepen their knowledge
• Non-C and C++ developers (for example, Java, Scala, Python) who want to learn more about pointer and reference internals
• C and C++ developers who want to port their memory thinking to Rust quickly

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.