Once you’ve established your own Root Certificate Authority, the next step is issuing server certificates for your local services. This guide walks through creating HTTPS certificates that are automatically trusted by all devices where your Root CA is installed.
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When running multiple services in a local network-whether for smart home automation, home labs or development environments-HTTPS encryption becomes essential. Instead of accepting browser warnings for every self-signed certificate, creating your own Root Certificate Authority (Root CA) provides a clean, professional solution.
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Azure now provides a unified Realtime API for low‑latency, multimodal conversations over WebRTC or WebSockets. If you’ve used the earlier preview versions (for example the GPT‑4o realtime preview), the new generation model is simply called gpt-realtime
and the API follows the same event-driven pattern: you open a session, configure defaults via session.update, stream input and receive streaming output (text, function calls, audio, etc.).
Logging is part of the contract of many components: when things fail, when branches are taken, when work completes. If a class owns logic, it should own its log output too. That makes logs worth testing–especially for diagnostics, reliability and supportability.
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Training custom models (for example, delivery notes) in Azure Document Intelligence initially worked fine. Suddenly, both training and auto-labeling started failing with “Internal Server Error”. In the model details, the following appeared:
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Microsoft Fabric consolidates analytics workloads (including Power BI) on a tenant-wide capacity. These Fabric capacities (SKUs F2–F2048) can be provisioned declaratively with Bicep like any other Azure resource. This post covers:
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If you work with Azure DevOps Git repos, SSH is often the simplest, most secure and most policy‑friendly way to authenticate. Many organizations disable Personal Access Tokens (PATs) for security reasons, which breaks HTTPS cloning and pushes. If you’ve seen this error when using HTTPS, you’ve run into such a policy:
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Testing hardware-driven projects pays off quickly. Compared to driving a single LEGO motor, controlling a WS2812B lightstrip involves timing constraints, color math, frame buffers and update sequencing–lots of places where regressions can hide. A focused unit-testing approach helps keep this code reliable and fast to iterate on. For more background on the general pattern, see the Build HAT article: Raspberry Build HAT: Unit Testing Strategies with .NET .
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In this beginner-friendly guide, you’ll learn how to control a WS2812B (aka “NeoPixel”) LED light strip with a Raspberry Pi using .NET. We’ll enable SPI on the Pi, wire the strip correctly (including best practices like a level shifter and a series resistor) and write a small .NET 9 app using the Iot.Device.Bindings library to animate colors. We’ll also publish the app as a self-contained linux-arm64 binary so no .NET runtime is needed on the Pi.
If you go beyond hobby tinkering and aim for reliable, maintainable software, you need tests. Hardware projects are no exception. In fact, the closer you get to IO, timing and device state, the more you benefit from having a fast feedback loop and repeatable verification.
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