Optimizing I/O Performance in .NET

I/O operations can significantly affect an application’s responsiveness, scalability, and operating costs. Improving the performance of file access, HTTP requests, sockets, and network protocols not only creates a better user experience but can also reduce cloud resource consumption and infrastructure costs.

Optimizing I/O can be challenging because it behaves differently from in-memory operations involving objects and collections. Performance may depend on latency, buffering, connection reuse, asynchronous execution, data size, protocol overhead, and the underlying operating system or network.

The articles in this chapter explore practical techniques for improving I/O performance in .NET, supported by benchmark results and real-world guidance.

Performance and memory profilers can also be invaluable when testing against near-production workloads. They can reveal excessive allocations, blocking operations, resource contention, and other bottlenecks that may not appear during isolated benchmarks.

Database Performance: Making Entity Framework Queries Faster

File I/O Performance: Picking the Fastest Weapon in Your Arsenal

HTTP/3 in .NET: Faster, Newer, and Not Always the Best Choice

IO Performance: Reuse HttpClient to Avoid Connection Overhead

Boost Your .NET Networking with Spargine: SocketExtensions That Röck

TCP vs. UDP in .NET: Speed, Reliability, and the Hidden Cost of Performance

Analyzing Code for Issues: .NET Memory Profiler

Pick up any books by David McCarter by going to Amazon.com: http://bit.ly/RockYourCodeBooks

If you liked this article, please buy David a cup of Coffee by going here: https://www.buymeacoffee.com/dotnetdave

© The information in this article is copywritten and cannot be reproduced in any way without express permission from David McCarter.