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OT / Industrial · Reference Architecture

OT Telemetry-to-Cloud Reference Architecture

A controlled path for operational telemetry from field assets through control, IDMZ, edge and enterprise streaming layers to cloud analytics, Digital Twins and AI.

Discuss an OT Data ArchitectureBack to Architecture Library
How can operational data move outward without allowing cloud analytics to assume control authority?

Architecture principles

What the pattern protects

  • Keep control authority inside approved operational boundaries
  • Use MQTT for constrained device-facing messaging where appropriate
  • Use Kafka or a managed equivalent for durable enterprise event streaming where warranted
  • Design buffering, replay, schema validation and data quality explicitly

Decisions the architecture must resolve

Context determines the implementation

  • Push, pull or brokered acquisition
  • OPC UA, MQTT, APIs, files or vendor interfaces
  • Edge persistence and loss-of-connectivity behavior
  • Kafka, cloud-native streaming or batch pathways
  • Digital Twin state ownership and update authority

Representative outputs

Artifacts that make the decision usable

No diagram is a deployable design until it is adapted to the environment, evidence, owners, and operating constraints.

Data-flow architectureProtocol and gateway decision recordTopic and schema modelTrust-boundary designObservability and recovery plan

Connected knowledge

Continue the architecture journey

OT-to-Cloud serviceMQTT and Kafka researchPower & Utilities

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