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Azure IoT Operations is a unified data plane for the edge. It's a collection of modular, scalable, and highly available data services that run on Azure Arc-enabled edge Kubernetes clusters such as AKS Edge Essentials. It enables data capture from various different systems and integrates with data modeling applications such as Microsoft Fabric to help organizations deploy the industrial metaverse.
Azure IoT Operations:
Use Azure IoT Operations to:
Use Azure IoT Operations to address use cases such as:
To identify anomalies in the data generated by an industrial asset, an operator can use the operations experience web UI to:
You can then use Microsoft Fabric to build real-time dashboards with visualizations that show the status of the asset and alerts for any detected anomalies. You can make these dashboards available on the shop floor where operators can use them to take immediate action and mitigate potential issues. By using predictive analytics and data on the edge, you can anticipate failures before they occur, and reduce downtime and maintenance costs.
With Azure IoT Operations, you can use data collected from assets and equipment to improve your operational equipment effectiveness. Azure IoT Operations captures real-time data at the edge and processes it enabling you to monitor key performance indicators such as availability, performance, and quality. Use Azure IoT Operations to normalize and analyze the data to identify patterns and areas for improvement.
There are two core elements in the Azure IoT Operations architecture:
Azure IoT Operations runs on Arc-enabled Kubernetes clusters on the edge. You can deploy Azure IoT Operations by using the Azure portal or the Azure CLI.
Azure IoT Operations can connect to various industrial devices and assets. You can use the operations experience or the Azure CLI to manage the devices and assets that you want to connect to.
The connector for OPC UA manages the connection to OPC UA servers and other leaf devices. The connector for OPC UA publishes data from the OPC UA servers to MQTT broker topics.
Azure IoT Operations uses the Azure Device Registry to store information about local assets in the cloud. The service enables you to manage assets on the edge from the Azure portal or the Azure CLI. The Azure Device Registry also includes a schema registry for the assets. Data flows use these schemas to deserialize and serialize messages.
Automatic asset discovery using Akri services, Azure Device Registry, the connector for OPC UA, the connection for ONVIF (preview), and the media connector (preview) is available in the current version of Azure IoT Operations. Currently, there are no user configurable scenarios for Akri services in the operations experience web UI for automatic asset discovery.
To learn more, see the release notes for the current version.
If you're using a previous preview version of Azure IoT Operations, you can find the Akri services documentation on the previous versions site.
The MQTT broker runs on the edge. It lets you publish and subscribe to MQTT topics. You can use the MQTT broker to build event-driven architectures that connect your devices and assets to the cloud.
Examples of how components in Azure IoT Operations use the MQTT broker include:
To connect to the cloud from Azure IoT Operations, you can use the following data flow destination endpoints:
Azure IoT Operations support max offline time for 72 hours. Degradation may occur within 72 hours. However, Azure IoT Operations will resume fully functional when it reconnects.
Data flows provide enhanced data transformation and data contextualization capabilities within Azure IoT Operations. Data flows can use schemas stored in the schema registry to deserialize and serialize messages.
To visualize and analyze telemetry from your devices and assets, you can use cloud services such as:
To secure communication between devices and the cloud through isolated network environments based on the ISA-95/Purdue Network architecture, use the Azure IoT Layered Network Management (preview) component.
Microsoft supports the following environments for Azure IoT Operations deployments.
Environment | Minimum version | Availability |
---|---|---|
K3s on Ubuntu 24.04 | K3s version 1.31.1 | General availability |
Azure Kubernetes Service (AKS) Edge Essentials on Windows 11 IoT Enterprise | AksEdge-K3s-1.29.6-1.8.202.0 | Public preview |
Azure Kubernetes Service (AKS) on Azure Local | Azure Stack HCI OS, version 23H2, build 2411 | Public preview |
Azure IoT Operations supports clusters that are Arc-enabled in the following regions:
Region | CLI value |
---|---|
East US | eastus |
East US 2 | eastus2 |
West US | westus |
West US 2 | westus2 |
West US 3 | westus3 |
West Europe | westeurope |
North Europe | northeurope |
This list of supported regions only applies to the region that you use when connecting your cluster to Azure Arc. This list doesn't restrict you from using your preferred Azure region for your cloud resources. Azure IoT Operations components and other resources deployed to your cluster in these supported regions can still connect to cloud resources in different regions.
Azure IoT Operations depends on the following set of support services and features:
Note
These features and services that are used as dependencies by internal Azure IoT Operations systems inherit general availability status from the Azure IoT Operations product license. For more information about the licensing model, see Microsoft Online Subscription Agreement.
Training
Certification
Microsoft Certified: Security Operations Analyst Associate - Certifications
Investigate, search for, and mitigate threats using Microsoft Sentinel, Microsoft Defender for Cloud, and Microsoft 365 Defender.