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Effective .NET Memory Management

Effective .NET Memory Management

By : Trevoir Williams
4.8 (11)
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Effective .NET Memory Management

Effective .NET Memory Management

4.8 (11)
By: Trevoir Williams

Overview of this book

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.
Table of Contents (12 chapters)
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9
Chapter 9: Final Thoughts

Memory management in web environments

Developing web applications introduces specific memory management challenges distinct from other software development types. These challenges arise due to the inherent nature of web applications, which must handle multiple users, manage state across requests, and integrate with various services. Some of the unique memory management challenges faced when developing web applications and general solutions are as follows:

  • Concurrency and scalability: Web applications often need to handle a high volume of concurrent requests from multiple users. Managing memory efficiently under such load is crucial to prevent the server from being overwhelmed. Poor memory management can lead to high memory consumption, increased garbage collection frequency, and ultimately, degraded application performance or crashes.

    Implementing efficient request handling, connection pooling, and optimizing data structures for concurrent access can help manage memory better...

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