About this book
Understand .NET memory management internal workings, pitfalls, and techniques in order to effectively avoid a wide range of performance and scalability problems in your software. Despite automatic memory management in .NET, there are many advantages to be found in understanding how .NET memory works and how you can best write software that interacts with it efficiently and effectively. Pro .NET Memory Management is your comprehensive guide to writing better software by understanding and working with memory management in .NET.
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
This book is for .NET developers, solution architects, and performance engineers.
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.
Konrad Kokosa is an experienced software designer, developer, and Microsoft MVP specializing in Microsoft technologies, but curious about everything else. A programmer for more than a decade, he has a passion for solving performance problems, speeding up applications, and resolving all types of architectural puzzles in .NET. Konrad is an independent consultant, and an active member of the community, blogging, speaking, and training. He is co-founder of Dotnetos.org.
C# Microsoft garbage collection allocator mutator stack heap
- DOI https://doi.org/10.1007/978-1-4842-4027-4
- Copyright Information Konrad Kokosa 2018
- Publisher Name Apress, Berkeley, CA
- eBook Packages Professional and Applied Computing
- Print ISBN 978-1-4842-4026-7
- Online ISBN 978-1-4842-4027-4
- Buy this book on publisher's site