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Litmus Edge Bridge for Azure IOT Operations

Explore the architecture patterns manufacturers use to deliver contextualized industrial data from edge into Azure IoT Operations and Azure cloud services.

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Architecture shows how Litmus connects industrial systems, prepares OT data for Azure consumption, and bridges contextualized data into Azure IoT Operations using the Litmus Akri Connector, Azure Arc, and Azure-native delivery patterns.

Architecture Summary

This architecture shows how industrial data is collected, prepared, and delivered from the edge to cloud and enterprise systems using multiple integration patterns.

  • Litmus Edge

    connects to industrial systems, normalizes and contextualizes data, and prepares it for cloud consumption. It supports real-time streaming, batch transfer, native loading, and API-based integration to cloud, lakehouse, and analytics platforms. 

  • Litmus Edge Manager

    enables centralized deployment and scaling across sites

  • Litmus Unify

    provides real-time data exchange using a Unified Namespace.

End-to-end data flow

1. Connect and collect industrial data
Litmus Edge DeviceHub connects to PLCs, controllers, machines, historians, databases, file systems, MES, ERP, and local applications to collect raw tags, telemetry, and events.

2. Normalize and prepare cloud-ready data
Litmus Edge standardizes tags, units, timestamps, and context so data can be reliably consumed by cloud systems.

3. Store and buffer at the edge
Litmus Edge stores time-series data and events locally to support resilience and reliable delivery, even when network connectivity is intermittent. 

4. Contextualize data for cloud consumption
Industrial data is organized into asset / process models, contextual data products, schema-aligned payloads, and delivery-ready structures for cloud and enterprise systems. 

5. Transfer through direct cloud integration
Litmus Edge connectors send data to cloud services using APIs, SDKs, and native connectors for near real-time use.

6. Transfer through batch and file delivery
Litmus Edge delivers files, exports, and data packages to cloud or object storage using scheduled jobs and secure transfer patterns.

7. Load into cloud data platforms and warehouses
Litmus Edge delivers data into lakehouses, warehouses, and analytics platforms using native loading patterns.

8. Manage and scale edge-to-cloud deployments
Litmus Edge Manager centrally manages devices, monitoring, app rollout, and multi-site scaling so edge-to-cloud connectivity can be standardized across plants.

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