Effective .NET Memory Management
Packt Publishing Limited (Verlag)
978-1-83546-104-4 (ISBN)
Key Features
Discover tools and strategies to build efficient, scalable applications
Implement .NET memory management techniques to effectively boost your application’s performance
Uncover practical methods for troubleshooting memory leaks and diagnosing performance bottlenecks
Purchase of the print or Kindle book includes a free PDF eBook
Book DescriptionIn today’s software development landscape, efficient memory management is crucial for ensuring application performance and scalability. Effective .NET Memory Management addresses this need by explaining the intricacies of memory utilization within .NET Core apps, from fundamental concepts to advanced optimization techniques.
Starting with an overview of memory management basics, you’ll quickly go through .NET’s garbage collection system. You’ll grasp the mechanics of memory allocation and gain insights into the distinctions between stack and heap memory and the nuances of value types and reference types. Building on this foundation, this book will help you apply practical strategies to address real-world app demands, spanning profiling memory usage, spotting memory leaks, and diagnosing performance bottlenecks, through clear explanations and hands-on examples. This book goes beyond theory, detailing actionable techniques to optimize data structures, minimize memory fragmentation, and streamline memory access in scenarios involving multithreading and asynchronous programming for creating responsive and resource-efficient apps that can scale without sacrificing performance.
By the end of this book, you’ll have gained the knowledge to write clean, efficient code that maximizes memory usage and boosts app performance.What you will learn
Master memory allocation techniques to minimize resource wastage
Differentiate between stack and heap memory, and use them efficiently
Implement best practices for object lifetimes and garbage collection
Understand .NET Core's memory management principles for optimal performance
Identify and fix memory leaks to maintain application reliability
Optimize memory usage in multithreaded and asynchronous applications
Utilize memory profiling tools to pinpoint and resolve memory bottlenecks
Apply advanced memory management techniques to enhance app scalability
Who this book is forThis book is for developers and professionals who are beyond the beginner stage and seek in-depth knowledge of memory management techniques within the context of .NET Core. Whether you are an experienced developer aiming to enhance application performance or an architect striving for optimal resource utilization, this book serves as a comprehensive guide to mastering memory management intricacies. To fully benefit from this book, you should have a solid understanding of C# programming and familiarity with the basics of .NET Core development.
Trevoir Williams, a passionate software and system engineer from Jamaica, shares his extensive knowledge with students worldwide. Holding a Master's degree in Computer Science with a focus on Software Development and multiple Microsoft Azure Certifications, his educational background is robust. His diverse experience includes software consulting, engineering, database development, cloud systems, server administration, and lecturing, reflecting his commitment to technological excellence and education. He is also a talented musician, showcasing his versatility. He has penned works like Microservices Design Patterns in .NET and Azure Integration Guide for Business. His practical approach to teaching helps students grasp both theory and real-world applications.
Table of Contents
Memory Management Fundamentals
Object Lifetimes and Garbage Collection
Memory Allocation and Data Structures
Memory Leaks and Resource Management
Advanced Memory Management Techniques
Memory Profiling and Optimization
Low-Level Programming
Performance Considerations and Best Practices
Final Thoughts
Erscheinungsdatum | 22.08.2024 |
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Verlagsort | Birmingham |
Sprache | englisch |
Maße | 191 x 235 mm |
Themenwelt | Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge |
Informatik ► Theorie / Studium ► Algorithmen | |
ISBN-10 | 1-83546-104-2 / 1835461042 |
ISBN-13 | 978-1-83546-104-4 / 9781835461044 |
Zustand | Neuware |
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