If you mostly live in .NET, the Java platform can look like a parallel universe: JVM, JDK, JARs, app servers, bytecode. The useful shortcut is to map each concept back to something you already know from C# and the CLR. This guide is a translation layer for .NET developers: what the JVM is, how the JDK compares to the .NET SDK, and what your real options are when a C# system needs to work with Java
很多团队的网络监控并不算差。 链路可用率有、接口带宽有、CPU 和内存有、异常告警也接进了企业微信、飞书和短信。但真正出了事，复盘时还是会出现同一句话：当时知道出问题了，但没有把现场留住。 这就是为什么越来越多团队开始关注网络回溯分析系统。 它解决的不是“能不能看到告警”这个初级问题，而是更关键的两个问题： 告警发生时，能不能快速还原到底是哪一段流量、哪一条路径、哪一种会话出了问题 事故结束后，能不能基于证据复盘，而不是靠聊天记录和印象拼凑过程 对云上和混合云场景来说，这件事尤其重要。因为链路更长、设备更多、路径更动态，很多故障不是“持续坏”，而是短时抖动、瞬时拥塞、路径切换、策略误命中。如果没有回溯能力，排障就很容易沦为赛后猜谜。 这篇文章不讲空洞概念，直接从一线运维视角拆清楚：云上网络回溯分析系统到底该怎么建，应该覆盖哪些能力，落地时最容易踩哪些坑。 先说结论： 传统监控擅长发现“异常
Dapper vs. Entity Framework When building data-driven applications in .NET, two of the most popular data access technologies are Dapper and Entity Framework Core (EF Core). While both serve the same fundamental purpose—interacting with databases—they take very different approaches. Choosing between them depends heavily on your performance needs, development style, and project complexity. Let’s b
My project is starting to get solid. I really like how it’s starting to look. Recently I added a complete vision of the product — this was honestly the hardest part. I’m trying to keep everything minimalistic. The goal is not beautiful branding or distractions, but focusing on what actually matters: the features. As I mentioned, here are the features: Capture HTTP requests & responses Inspect head
I spent the last few months building BlazOrbit, a component library for Blazor. It's not the first of its kind —MudBlazor, Radzen and Blazorise already exist— so I had to answer a hard question from the start: why does this need to exist? The answer turned out to be a set of architectural decisions I want to share, because each one taught me something about building UI frameworks that I didn't kno
If you're building an AI feature in .NET in 2026, the first framework you hear about is Microsoft Semantic Kernel. It's well-funded, actively maintained, and integrates deeply with Azure. For most projects, that's a fine starting point. But "fine for most" is not "right for all." Over the last few months we've talked to teams who started with Semantic Kernel and ended up looking for something else
Why I Stopped Using MediatR and Built CQRS From Scratch in .NET 10 MediatR is a great library. I'm not here to trash it. But when it moved to a paid model for commercial use, a lot of teams — including mine — had to make a decision. And the more I looked at what MediatR actually does under the hood, the more I realised: this is not complicated enough to justify an external dependency. So I built