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Effective .NET Memory Management: Build memory-efficient cross-platform applications using .NET Core

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Book Details
Language
English
Publishers
Packt Publishing (30 July 2024)
Weight
0.47 KG
Publication Date
30/07/2024
ISBN-10
1835461042
Pages
270 pages
ISBN-13
9781835461044
Dimensions
23.5 x 19.1 x 1.44 cm
SKU
9781835461044
Author Name
Trevoir Williams (Author)
Trevoir Williams is a passionate software and system engineer with a drive to share the best of his knowledge with students around the globe. His educational achievements include a Master’s degree in Computer Science and several Microsoft Azure Certifications. He is also a Microsoft Certified Trainer.Trevoir enjoys teaching IT and development skills and guides students in gaining the latest knowledge with practical application in the modern industry.Read more about this authorRead less about this author
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Master optimal memory management techniques in . NET Core, from understanding memory allocation to implementing advanced garbage collection strategiesKey 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 eBookBook Description:In 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 scalabilityWho this book is for:This 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.

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. .

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