Separate control authority from insight generation
Controlled modernization
OT-to-Cloud Modernization Architecture
Design governed pathways from industrial assets and control environments to edge, cloud, data, AI, analytics, and Digital Twin capabilities while preserving operational authority.
Operational context
The problem
Why this is an architecture challenge
OT data is valuable, but direct or poorly governed integration can expand blast radius, create uncontrolled dependencies, and obscure who is authorized to influence production.
Business and operational drivers
What brings organizations to this work
- Improve operational visibility without exposing control systems
- Enable telemetry, analytics, and predictive maintenance
- Modernize historians and industrial data integration
- Create a governed foundation for Digital Twins and AI
What SecurePlane assesses or designs
Evidence across the operating environment
- 01SCADA, historian, OPC UA, MQTT, and vendor interfaces
- 02Edge compute, buffering, store-and-forward, and intermittent connectivity
- 03Industrial DMZ services and one-way or brokered data movement
- 04Cloud landing zones, identity, data platforms, and observability
- 05Latency, data quality, schema, ownership, and retention requirements
SECUREPLANE REFERENCE MODELControlled industrial data path
Control authority remains in the operational environment
01FIELDsensors · assets
02CONTROLPLC · SCADA
03IDMZbrokers · gateways
04EDGEbuffer · normalize
05EVENTMQTT · Kafka
06CLOUDdata · twin · AI
Identity · schema · provenance · observability · resilience
Architecture approach
From operational context to governed decisions
Use the Industrial DMZ as a governed integration boundary
Select MQTT, Kafka, APIs, streaming, and batch patterns by workload
Design identity, encryption, schema validation, monitoring, and recovery into the flow
Validate integrations and rollback behavior before scaled rollout
Typical deliverables
Tangible architecture artifacts
Deliverables are tailored to the environment and decision need.
OT-to-Cloud Reference ArchitectureIndustrial DMZ ArchitectureSecure Telemetry ArchitectureHistorian Integration DesignDigital Twin Data ArchitectureIntegration Decision Records
From architecture to implementation
Engineering proves the path
Forward Deployed Engineering validates real protocols, historian interfaces, buffering, topic and schema design, failure behavior, identity, and rollback before a data pattern is scaled.
Explore Forward Deployed Engineering →- 01Build a bounded telemetry pilot
- 02Validate OPC UA and MQTT boundaries
- 03Prove store-and-forward and replay behavior
- 04Publish a reusable integration pattern
Expected outcomes
Designed around mission results
Controlled operational-data access
Reduced integration fragility
Reusable telemetry and data patterns
A governed path to cloud, analytics, and AI
Representative engagement
How the work proceeds
Architecture is tested through a bounded integration pilot using representative data, real trust boundaries, failure scenarios, and explicit operational acceptance criteria.
1Assess
2Analyze
3Design
4Govern
5Implement
6Validate
7Operate
8Improve
Architecture before technology
Discuss Your OT-to-Cloud Architecture
Begin with the mission, operating constraints, evidence, and decision—not a product.