Azure IoT Edge Tools Now Support Visual Studio 2022 -- Visual Studio Magazine

Azure IoT Edge Tools Now Support Visual Studio 2022

By David Ramel
02/02/2022

The Azure IoT Edge Tools for Visual Studio extension now supports VS 2022, Microsoft announced last month.

The company says the Azure IoT Edge Tools for VS 2022 extension in the Visual Studio Marketplace "makes it easy to code, build, deploy, and debug your IoT Edge solutions in Visual Studio 2019, by providing a rich set of functionalities" that include:

New Azure IoT Edge project targeting different platforms (Linux amd64, Linux arm32v7, Linux arm64v8, Windows amd64)
Add a new IoT Edge module (C#/C) to solution
Edit, build and debug IoT Edge modules locally on your Visual Studio machine
Build and push docker images of IoT Edge modules
Run IoT Edge modules in a local or remote simulator
Manage IoT Edge devices and modules in IoT Hub (with Cloud Explorer)

Microsoft documentation says: "The Azure IoT Edge dev tool simplifies IoT Edge development with command-line abilities. This tool provides CLI commands to develop, debug, and test modules. The IoT Edge dev tool works with your development system, whether you've manually installed the dependencies on your machine or are using the IoT Edge dev container."

The tool of course helps developers work with Azure IoT in a number of ways. Microsoft says IoT "refers to a collection of managed and platform services across edge and cloud that connect, monitor, and control billions of IoT assets. It also includes security and operating systems for devices and equipment, along with data and analytics that help businesses to build, deploy, and manage IoT applications."

The extension, released Jan. 7 and last updated Jan. 31, has been installed 302 times at the time of this writing. The older Azure IoT Edge Tools for VS 2019 has been installed more than 11,000 times.

Microsoft introduced Azure IoT Edge back in the summer of 2018. "The fully managed Azure IoT Edge service brings cloud intelligence to edge devices through the use of artificial intelligence (AI), cloud services (including machine learning, stream analytics, SQL Server databases and more) and custom logic local to cross-platform devices, which can operate independently even when offline," the company said at the time.

About the Author

David Ramel is an editor and writer at Converge 360.

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