ASP.NET Core

NET 11 is presented as a release that “turns performance up to eleven,” delivering hundreds of targeted optimizations across the runtime, JIT, GC, async infrastructure, and core libraries. The article highlights major advances such as deeper devirtualization, smarter inlining, expanded escape analysis, leaner delegate structures, and a redesigned async/await system driven by the JIT rather than the compiler. Together, these improvements reduce allocations, shrink call overhead, streamline async state machines, and unlock faster execution paths—resulting in noticeably better real‑world performance without requiring developers to change their code. https://devblogs.microsoft.com/dotnet/performance-improvements-in-net-11/

If your .NET pods are each using 1–2 GB of RAM, you may be leaving a lot of pod density — and money — on the table. Here are the first things I would look at. https://ardalis.com/top-10-ways-to-reduce-net-memory-usage-in-kubernetes/

In real-world applications, duplicate API requests are more common than many developers expect. Users double-click buttons, mobile apps retry requests automatically, networks fail and resend calls, and background jobs may retry failed operations. https://medium.com/stackademic/how-to-prevent-duplicate-api-requests-in-net-c54e4770da2d

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Bit different from usual ASP.NET stuff, but you might find this interesting. https://youtu.be/JGwFsyyewYc?si=Udwc19INncdm1IOk

Today is 256th day in a year. It's a good reason to celebrate Programmers Days! Happy Coding, guys! 💪

Here's your comprehensive guide to understanding and building Model Context Protocol (MCP) Servers for C# developers. It’s a great hands-on resource for exploring MCP and AI assistant integration in .NET environments. 📚 https://msft.it/6041sRjhd

TUnit is a newer framework that launched its first alpha releases in 2024 and is on the path to a v1.0.0 release. https://andrewlock.net/converting-an-xunit-project-to-tunit

Create containers in .NET without Dockerfile? Here is how: Containers become the easiest way to distribute and run applications and services in the cloud. .NET app containerization could not be done without Dockerfile where multi-stage build steps. But, starting from .NET 7, this process is simplified. It strips down that pre-configuration by introducing built-in container support with the dotnet publish command. Before running a command you need to add the Microsoft.NET.Build.Containers package that will infer some of the project properties like base image, version, image repository, etc. For now, only Linux containers are supported. Source: Pavle Davitković LinkedIn

OpenTelemetry in Microservice Architecture with .NET 9 What us OpenTelemetry and wht you need it? OpenTelemetry is the CNCF's vendor-neutral observability framework that unifies metrics, traces, and logs in distributed systems. .NET9 significantly improves OpenTelemetry support with built-in instrumentation, minimal configuration, and 35% reduced overhead compared to previous versions. https://medium.com/@serkutyildirim/opentelemetry-usage-in-microservice-architecture-with-net-9-16c2e57df59c

New, Simpler Solution File Format For years, you’ve worked with Visual Studio’s solution file (*.SLN) format, and while it’s a core part of your project organization, we know the experience hasn’t always been smooth. Whether you’ve been modifying, maintaining, or trying to resolve merge conflicts, it’s often felt more like a hassle than it should be. We understand your frustrations, […] The post New, Simpler Solution File Format appeared first on Visual Studio Blog. https://devblogs.microsoft.com/visualstudio/new-simpler-solution-file-format/

What is this course about? As generative AI becomes more accessible, it’s essential for developers to understand how to use it responsibly and effectively. To fill this need, we created a course that covers the basics of Generative AI for the .NET ecosystem, including how to set up your .NET environment, core techniques, practical samples, and responsible use of AI. You’ll learn how to create real-world .NET AI-based apps using a variety of libraries and tools including Microsoft Extensions for AI, GitHub Models and Codespaces, Semantic Kernel, Ollama, and more. https://devblogs.microsoft.com/dotnet/announcing-generative-ai-for-beginners-dotnet/

How To Use DeepSeek With .NET 9 | Hands-On With DeepSeek R1, Semantic Kernel & C# In this post, we will integrate DeepSeek R1 into a .NET 9 using Semantic Kernel. If you’re looking to get started with DeepSeek models locally, this hands-on guide is for you. https://dev.to/codestreet/how-to-use-deepseek-with-net-9-hands-on-with-deepseek-r1-semantic-kernel-c-16ol