Regular visitors of my blog will know that I’ve written a lot of posts about the HttpClientFactory feature, available in the Microsoft.Extensions.Http package which simplifies the consumption and proper lifetime usage of HttpClient instances. Recently, I’ve begun digging into gRPC and I’m pleased to see a similar pattern is available for gRPC-based communication. In this […]
Author: Steve Gordon
Steve Gordon is a Microsoft MVP, Pluralsight author, senior developer and community lead based in Brighton. He works for Madgex developing and supporting their data products built using .NET Core technologies. Steve is passionate about community and all things .NET related, having worked with ASP.NET for over 15 years.
Steve is currently developing cloud-native services, using .NET Core, ASP.NET Core and Docker. He enjoys sharing his knowledge through his blog, in videos and by presenting at user groups and conferences. Steve is excited to be a part of the .NET community and founded .NET South East, a .NET Meetup group based in Brighton. He enjoys contributing to and maintaining OSS projects, most actively helping save lives with open source software and the Humanitarian Toolbox (www.htbox.org). You can find Steve online at his blog www.stevejgordon.co.uk and on Twitter as @stevejgordon
Using the BodyReader and BodyWriter in ASP.NET Core 3.0 Utilising System.IO.Pipelines for High-Performance ASP.NET Core 3.0
In this post, I will describe a scenario and potential use case for the BodyReader and BodyWriter properties which are now exposed in ASP.NET Core 3.0 via the HttpContext on the HttpRequest and HttpResponse respectively. Note, that I’m working with these during Preview 6 of the 3.0 release, so things may have changed a little […]
Using High-Performance Techniques to Base64 Encode a GUID Writing High-Performance C# and .NET Code: Part 8
It’s been a little while since my last high-performance post, but my use of the techniques and features continues! In this post, I want to present a more practical example which I hope will help to illustrate a real-world use case for some of the new .NET Core performance focused API changes. Scenario For a […]
Analysing the Large Object Heap in JetBrains dotMemory Writing High-Performance C# and .NET Code: Part 7
In my last post, which is part of my ‘Writing High-Performance C# and .NET Code‘ series, we looked at how we can begin interpreting some of the data from a dotMemory profiling session. In this post, we’ll continue the analysis by investigating why we saw that the Large Object Heap (LOH) size grows for about […]
Interpreting the .NET Core Memory Timeline in JetBrains dotMemory Writing High-Performance C# and .NET Code: Part 6
In my last post, which is part of my ‘Writing High-Performance C# and .NET Code‘ series, we looked at how dotMemory can be used to view the amount of memory allocated by code in an application using the memory traffic comparison. In this post, I’ll begin looking at some of the other information available in […]