This content discusses exception handling in Microsoft .NET, focusing on application layer and reusable assemblies. It offers insights on preventing exceptions and notifying calling code, and references a related book. The principles are noted to be applicable to other programming languages.
Using ContainsKey() followed by an indexer on dictionaries results in a double lookup, decreasing performance. This is common anti-pattern. This article will show you how to fix this and increase performance up to 2x.
Attributes in .NET provide crucial metadata that enhances code clarity, tooling support, and developer experience. They enforce contracts, improve static analysis, and facilitate safe coding practices. By thoughtfully utilizing attributes like [DisallowNull], [DebuggerDisplay], and [DefaultValue], developers can create expressive, maintainable, and user-friendly APIs that benefit both current and future projects.
The dotNetDave No Rest for the Wicked World Tour is holding a virtual session on code and app performance for Microsoft .NET, tailored to .NET 8, on June 20th. The session will cover optimizing code performance and minimizing memory footprint, with insights from the latest performance metrics outlined in the fourth edition of "Rock Your Code: Code & App Performance for Microsoft". For more details, visit https://www.meetup.com/baynet/events/301041843.
"Rock Your Code: Code & App Performance for Microsoft .NET" is a comprehensive guide that emphasizes the importance of optimizing code performance for enhanced user experience and backend efficiency. With practical insights and example code, developers learn essential practices for maximizing the performance of their business applications within the Microsoft .NET framework. From string manipulation to leveraging source generators, this edition covers a wide range of topics, including new chapters on code analysis and benchmark testing. Written for developers using Microsoft .NET 8 and Visual Studio 2022, this book offers timeless principles applicable across different versions of .NET, ensuring relevance and utility in any environment.
To optimize .NET code effectively, developers must utilize appropriate tools like profilers and analyzers. These resources reveal hidden performance issues and inefficiencies that can affect software quality. By measuring and analyzing their code, developers can focus on impactful optimizations, ensuring their applications operate at peak performance rather than relying solely on coding skills.
Utilizing .NET code analysis tools is essential for identifying performance issues in code before execution. Modern .NET analyzers provide real-time warnings for inefficiencies, enabling developers to refine their code. This resource outlines practical examples and benchmarks, emphasizing that most performance problems stem from minor inefficiencies. Analyze, measure, and optimize for better performance.
.NET source generators enhance application performance by moving tasks from runtime to compile time, optimizing C# code generation. They eliminate boilerplate, reduce memory usage, and improve startup speed. By replacing reflection-heavy patterns, these generators enable faster, more efficient execution, ensuring cleaner and smarter code performance.
Serialization is a crucial aspect of modern .NET applications, enabling objects to be converted into formats like JSON for storage and transmission. Its design affects performance, memory usage, and scalability. The content emphasizes practical serialization techniques and the importance of benchmarking for efficient data movement in applications. Mastering serialization helps avoid performance bottlenecks.
LINQ is a powerful but potentially performance-hindering feature in .NET, offering a clean syntax for data querying. This content explores its inner workings, highlighting scenarios where it excels and where alternatives are more efficient. The aim is to maximize performance while leveraging LINQ, ensuring effective and rapid .NET code development.
You must be logged in to post a comment.