Azure IoT Edge Tools now supports Visual Studio 2022 — Visual Studio Magazine

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Azure IoT Edge tools now support Visual Studio 2022

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

The company says the Azure IoT Edge Tools extension for VS 2022 in Visual Studio Marketplace “makes it easier to code, build, deploy, and debug your IoT Edge solutions in Visual Studio 2019, providing a rich feature set” that include:

  • New Azure IoT Edge project targeting different platforms (Linux amd64, Linux arm32v7, Linux arm64v8, Windows amd64)
  • Add a new IoT Edge (C#/C) module to the solution
  • Edit, build, and debug IoT Edge modules locally on your Visual Studio machine
  • Create and submit 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 states: “The Azure IoT Edge Developer Tool simplifies IoT Edge development with command-line capabilities. This tool provides CLI commands for developing, debugging, and testing 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 several ways. According to Microsoft, IoT “refers to a set of managed and platform services across the edge and cloud that connect, monitor, and control billions of IoT assets. It also includes security and operations for devices and equipment, as well as data and analytics that help companies build, deploy and manage IoT applications.”

The extension, released on January 7 and last updated on January 31, has been installed 302 times at the time of this writing. The old Azure IoT Edge Tools for VS 2019 has been installed over 11,000 times.

Microsoft launched Azure IoT Edge 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 analysis, SQL Server databases and more) and custom logic local to cross-platform devices, which can operate independently even offline,” the company said at the time.

About the Author


David Ramel is an editor and writer for Converge360.



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