ASP.NET Core
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The country is not specifiedTechnologies & Applications10 423
📈 Analytical overview of Telegram channel ASP.NET Core
Channel ASP.NET Core (@aspnetvnext) in the English language segment is an active participant. Currently, the community unites 11 480 subscribers, ranking 10 423 in the Technologies & Applications category.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 11 480 subscribers.
According to the latest data from 16 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -155 over the last 30 days and by -12 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 21.37%. Within the first 24 hours after publication, content typically collects 6.84% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 453 views. Within the first day, a publication typically gains 785 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 8.
📝 Description and content policy
Channel description not provided.
Thanks to the high frequency of updates (latest data received on 17 September, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
11 480
Subscribers
-1224 hours
-457 days
-15530 days
Posts Archive
11 481
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/
11 481
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/
11 481
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
11 481
Bit different from usual ASP.NET stuff, but you might find this interesting.
https://youtu.be/JGwFsyyewYc?si=Udwc19INncdm1IOk
11 481
Today is 256th day in a year. It's a good reason to celebrate Programmers Days! Happy Coding, guys! 💪
11 481
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
11 481
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
11 481
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
11 481
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
11 481
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/
11 481
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/
11 481
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
