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Total Size:
10.4 MB
Info Hash:
A5794CA406F61721E8038A91824D4D365E2FFD4E
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Added:
April 22, 2026, 9:04 p.m.
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(Last updated: April 22, 2026, 9:05 p.m.)
| File | Size |
|---|---|
| Code.zip | 1.6 MB |
| Williams T. Effective .NET Memory Management...2024.pdf | 8.8 MB |
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1.9 GB
[351
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658]
2025-03-07
| Uploaded by bone111 | Size 1.9 GB | Health [ 351 /658 ] | Added 2025-03-07 |
NOTE
SOURCE: Williams T. Effective .NET Memory Management...2024
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MEDIAINFO
Textbook in PDF format Master optimal memory management techniques in .NET Core, from understanding memory allocation to implementing advanced garbage collection strategies 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 Book 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. Who is this book 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. 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 Dedications Contributors Preface Memory Management Fundamentals Overview of memory management Levels of memory management Fundamentals of memory management and allocation Units of memory storage The fundamentals of how memory works Automatic memory allocation in .NET The role of the garbage collector Garbage collection in .NET Impact of memory management on performance Impacts of poor memory management Key considerations Summary Object Lifetimes and Garbage Collection Technical requirements Object allocation and deallocation Objects and how they are created Stack and heap allocation Generations and the garbage collection process Garbage collection in the LOH Best practices for managing object lifetimes Using local variables Using statements Use optimized data types and data structures Use weak reference types for short-lived data Use object pooling Summary Memory Allocation and Data Structures Technical requirements Memory allocation mechanisms Allocation mechanisms in C/C++ Allocation mechanisms in Java .NET allocation performance Choosing the best data structures Big O notation Replacing classes with structs wherever possible Using optimized collection types Pre-sizing data structures Accessing contiguous memory Handling large objects and arrays Using smaller objects Optimizing string usage Summary Memory Leaks and Resource Management Technical requirements Identifying memory leaks Common causes of memory leaks Code review Stress testing Memory analysis in .NET Visual Studio diagnostic tools Analysis with the .NET CLI Best practices for avoiding memory leaks Using the using keyword with IDisposable objects Implementing IDisposable and Finalizer patterns Using Dependency Injection Summary Advanced Memory Management Techniques Technical requirements Concurrent memory management Threads and thread pooling Lock mechanisms Task Parallel Library SemaphoreSlim for task-based synchronization PLINQ Concurrent collections Memory usage in multi-threaded applications Single-threaded versus multi-threaded approaches Parallel loops Exception handling in multi-threaded applications Memory management in asynchronous code Creating and using asynchronous methods Preventing memory leaks and best practices Summary Memory Profiling and Optimization Technical requirements Memory profiling concepts Understanding and using profiling and tools Profiling memory usage and allocation Identifying allocation patterns with custom code Make Object ID to find memory leaks Event Tracing for Windows Downsides of profiling Writing unit tests for memory leaks What is unit testing? Testing for a memory leak Production and deployment considerations Using CI/CD pipelines Monitoring cloud environments Summary Low-Level Programming Technical requirements Working with unsafe code Pointers and pointer operations Using the fixed statement Allocating and deallocating unmanaged memory Using the stackalloc keyword for stack allocation Using the Marshal class for memory management Interoperability with unmanaged code P/Invoke Using COM interop Interop marshaling Handling unmanaged resources with the SafeHandle class Summary Performance Considerations and Best Practices Technical requirements Memory management in desktop environments Using Windows Forms Using Windows Presentation Foundation Memory management in web environments Using ADO.NET Using Entity Framework Core Caching patterns in ASP.NET Core Memory management in cloud environments Multi-tenancy and memory management Caching for memory management in cloud solutions Summary Final Thoughts Index
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