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Azure IoT Reference Architecture update

Last week, we released an update to the Azure IoT Reference Architecture Guide. Our focus for the update was to bring the document forward to the latest Azure IoT cloud native recommended architecture and latest technology implementation recommendations.

Last week, we released an update to the Azure IoT Reference Architecture Guide. Our focus for the update was to bring the document forward to the latest Azure IoT cloud native recommended architecture and latest technology implementation recommendations. The updated guide includes an overview of the IoT space, recommended subsystem factoring for solutions, and prescriptive technology recommendations per subsystem. Technical content added includes coverage of topics such as microservices, containers, orchestrators (e.g. Kubernetes and Service Fabric), serverless usage, Azure Stream Analytics, and Edge devices. Major updates were made to the Stream Processing and Storage subsystem sections of the document covering rules processing and storage technology options on Azure across differing types of IoT solutions.

The IoT Architecture Guide aims to accelerate customers building IoT Solutions on Azure by providing a proven production ready architecture, with proven technology implementation choices, and with links to Solution Accelerator reference architecture implementations such as Remote Monitoring and Connected Factory. The document offers an overview of the IoT space, recommended subsystem factoring for scalable IoT solutions, prescriptive technology recommendations per subsystems, and detailed sections per subsystem that explore use cases and technology alternatives.

Future updates – please provide feedback and ask questions

We will be making consistent updates over the coming months and would appreciate your feedback with building production solutions with Azure. Please use our User Voice channel to provide architecture and technology suggestions. We encourage you to browse what others are suggesting, vote for your favorites, and enter suggestions of your own.