Overview
- Takes a deep dive into .NET memory management, including comprehensive coverage of how .NET memory works, implementation details, possible pitfalls, and ways to work around them
- Helps readers understand the internal workings of the .NET framework and how they can work with it more effectively
- Includes practical applications and code examples at every step
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About this book
Thoroughly vetted by the .NET Team at Microsoft, this book contains 25 valuable troubleshooting scenarios designed to help diagnose challenging memory problems. Readers will also benefit from a multitude of .NET memory management “rules” to live by that introduce methods for writing memory-aware code and the means for avoiding common, destructive pitfalls.
What You'll Learn
- Understand the theoretical underpinnings of automatic memory management
- Take a deep dive into every aspect of .NET memory management, including detailed coverage of garbage collection (GC) implementation, that would otherwise take years of experience to acquire
- Get practical advice on how this knowledge can be applied in real-world software development
- Use practical knowledge of tools related to .NET memory management to diagnose various memory-related issues
- Explore various aspects of advanced memory management, including use of Span and Memory types
Who This Book Is For
.NET developers, solution architects, and performance engineers
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Keywords
Table of contents (15 chapters)
Authors and Affiliations
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Bibliographic Information
Book Title: Pro .NET Memory Management
Book Subtitle: For Better Code, Performance, and Scalability
Authors: Konrad Kokosa
DOI: https://doi.org/10.1007/978-1-4842-4027-4
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Konrad Kokosa 2018
eBook ISBN: 978-1-4842-4027-4Published: 12 November 2018
Edition Number: 1
Number of Pages: XXXI, 1072
Number of Illustrations: 293 b/w illustrations
Topics: Microsoft and .NET, Memory Structures, Programming Languages, Compilers, Interpreters, Software Engineering