LitmusLitmus Logo

Edge-to-Cloud Connectivity Reference Architecture

See how manufacturers standardize and scale the flow of industrial data from plant-floor systems to cloud and enterprise platforms.

Edge to Cloud - subpage

This architecture shows how to move contextualized industrial data from the edge to cloud, lakehouse, warehouse, and analytics platforms using flexible real-time and batch transfer 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. 1.

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

  2. 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. 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. 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. 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. 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. 7.

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

  8. 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.

CTA gradient main section