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From Edge to Enterprise

IIoT & Cloud Integration

Connect your machines, sensors, and historians to the cloud with secure, scalable data pipelines built on MQTT, Sparkplug B, and leading cloud platforms.

Solutions

Industrial Data Pipelines You Can Trust

End-to-end architecture and implementation that unifies OT and IT.

MQTT & Sparkplug B Experts

Design topic structures, namespaces, and payload models that make OT data contextual and reusable across systems.

Edge Gateway Engineering

Deploy Raspberry Pi or industrial PCs with Node-RED, Python, and containerized services for secure data collection.

Cloud Integrations

AWS IoT Core, Azure IoT Hub, and Google Cloud solutions for storage, analytics, digital twins, and alerting.

Protocol Bridging

Modbus, OPC UA, Ethernet/IP, and REST API integrations that connect legacy equipment to modern applications.

Data Governance & Security

Authentication, encryption, certificate management, and network segmentation aligned with OT cybersecurity best practices.

Analytics & Visualization

Connect to SCADA, MES, BI platforms, or data lakes to unlock condition monitoring, predictive maintenance, and reporting.

Deliverables

A Blueprint for Connected Manufacturing

Data Strategy

Identify critical signals, sampling rates, and retention policies so data is useful to operations, maintenance, and leadership teams.

Edge Applications

Develop lightweight services that normalize, buffer, and secure OT data at the edge before transmission.

Cloud Workflows

Create dashboards, alerts, and integrations that deliver actionable insight across your enterprise.

IIoT Project Roadmap

Step 1: Assessment & Use Cases

Evaluate infrastructure, network readiness, and business objectives to prioritize high-value data use cases.

Step 2: Architecture Design

Define edge, network, and cloud topology including security controls, redundancy, and scaling strategy.

Step 3: Implementation & Testing

Configure gateways, develop data models, deploy cloud services, and validate end-to-end flow with pilot assets.

Step 4: Rollout & Optimization

Scale across lines and sites, train internal teams, and iterate on analytics as new insights emerge.

Industrial IoT workflow

FAQs

Frequently Asked Questions

Common questions about IIoT and cloud integration services.

Can you work with our existing SCADA or MES systems?

Yes. I integrate with Ignition, ThingsBoard, Wonderware, and other platforms to publish data to the cloud or synchronize with enterprise systems.

How do you secure remote connectivity?

I implement VPN tunnels, certificate-based authentication, and encrypted MQTT payloads alongside network segmentation to protect OT assets.

Do you provide documentation for IT and OT teams?

Every project includes architecture diagrams, data dictionaries, and runbooks tailored to both OT technicians and IT administrators.

What if we have unreliable connectivity?

Edge buffering, store-and-forward logic, and watchdog monitoring ensure data integrity even with intermittent networks.

Can you help with analytics once data is in the cloud?

Absolutely. I create dashboards, configure alerts, and collaborate with your data team on predictive maintenance and KPI reporting.

Ready to connect OT data to the cloud?

Let’s architect a secure, scalable data pipeline that delivers real-time visibility and business intelligence.