ASP.NET Core
Открыть в Telegram
Больше
Страна не указанаТехнологии и приложения10 423
📈 Аналитический обзор Telegram-канала ASP.NET Core
Канал ASP.NET Core (@aspnetvnext) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 11 481 подписчиков, занимая 10 423 место в категории Технологии и приложения.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 11 481 подписчиков.
Согласно последним данным от 16 сентября, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило -155, а за последние 24 часа — -12, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 21.37%. В первые 24 часа после публикации контент обычно набирает 6.84% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 2 453 просмотров. В течение первых суток публикация набирает 785 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 8.
📝 Описание и контентная политика
Описание канала не предоставлено.
Благодаря высокой частоте обновлений (последние данные получены 17 сентября, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.
11 481
Подписчики
-1224 часа
-457 дней
-15530 дней
Архив постов
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
