Memory Thinking for Rust, 9781912636488
Paperback
Unlock Rust’s memory secrets: Ownership, pointers, and more revealed.

Memory Thinking for Rust

Slides with Descriptions and Source Code Illustrations, Second Edition

$153.99

  • Paperback

    274 pages

  • Release Date

    9 May 2025

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Summary

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, c…

Book Details

ISBN-13:9781912636488
ISBN-10:1912636484
Author:Dmitry Vostokov, Software Diagnostics Services, Dublin School of Security
Publisher:Opentask
Imprint:Opentask
Format:Paperback
Number of Pages:274
Edition:2nd
Release Date:9 May 2025
Weight:757g
Dimensions:254mm x 203mm x 18mm
About The Author

Dmitry Vostokov

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.

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