Litmus Launches Edge Bridge for Microsoft Azure IoT Operations to Simplify Industrial Data Integration

Author photo: Chantal Polsonetti
ByChantal Polsonetti
Category:
Company and Product News

Industrial edge data platform provider Litmus today announced the Litmus Edge Bridge for Microsoft Azure IoT Operations, a new connector that integrates the Litmus Edge industrial data platform with Azure IoT Operations. The connector enables automated discovery and onboarding of industrial devices and related schemas, delivering structured, Azure-native industrial data models that accelerate the path from machine connectivity to actionable insights.

Manufacturers and industrial enterprises struggle with complex and time-consuming processes to integrate operational technology (OT) data from PLCs, sensors, and shop-floor machines into cloud systems. Manual device onboarding, custom configuration, and repeated data mapping across sites delay use cases such as predictive maintenance, energy optimization, and overall equipment effectiveness (OEE) analytics.

The Litmus Edge Bridge for Azure IoT Operations addresses these challenges by creating a seamless connection between Litmus Edge and Azure IoT Operations. Through this integration, devices, data schemas, and metadata flow automatically from edge environments into Azure services, dramatically reducing deployment time and complexity.

The connector leverages the Kubernetes Resource Interface (AKRI) framework to enable real-time device and asset discovery from the edge. When Litmus Edge identifies a new PLC, sensor, or controller, the device automatically becomes visible within Azure IoT Operations and can be onboarded in a single click. This automation eliminates countless hours of manual scripting and configuration while accelerating OT-IT collaboration across industrial teams.

Unlike traditional industrial data pipelines that push raw telemetry into the cloud, the Litmus Edge Bridge enables Azure IoT Operations to create structured, schema-aware data assets. The integration also enables advanced inline data processing capabilities. Industrial data can be filtered, enriched, transformed, and routed before reaching analytics platforms such as Microsoft Fabric and other cloud services. Azure Arc extends this capability by enabling consistent deployment, governance, and lifecycle management of Azure IoT Operations across distributed edge environments using cloud-native infrastructure management.

Find out more about the digitization of industry, energy, and critical infrastructure. 

Engage with ARC Advisory Group

Representative End User Clients
Representative Automation Clients
Representative Software Clients