Litmus Launches Edge Bridge for Microsoft Azure IoT Operations to Simplify Industrial Data Integration
The new connector automates device discovery, onboarding, and schema modeling to accelerate Industrial AI and data management at scale
This is a Press Release edited by StorageNewsletter.com on May 4, 2026 at 2:00 pm
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.
“What makes industrial data difficult isn’t just data access – it’s making it consistent and repeatable across sites,” said Vatsal Shah, co-founder and CEO, Litmus. “By combining Litmus Edge and Microsoft Azure IoT Operations, we’re standardizing how data is structured and deployed, so teams can move from one-off implementations to something they can scale across their entire operation.”
The connector leverages the A 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 in-line 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.
“Manufacturers generate a lot of data but often struggle to use it at scale. By integrating Litmus Edge with Azure IoT Operations, we’re helping customers move from manual processes and fragmented systems to a consistent data foundation that speeds up Industrial AI and analytics,” said Dayan Rodriguez, Corporate VP, manufacturing and mobility, Microsoft.
By combining the Litmus Edge industrial data platform with Azure IoT Operations and Azure Arc, organizations gain a scalable architecture for managing industrial assets, data flows, and analytics across multiple sites. The solution will be showcased at Hannover Messe, April 20–24, at the Litmus booth in Hall 16, Booth A09.
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