- Understand how HiveMQ fits into typical industrial architectures
- Design scalable MQTT / UNS-based data pipelines
- Explain OT/IT integration concepts to engineers, IT teams, and management

What you’ll find in the sub-pages
- PLC to Cloud via HiveMQ (Edge + Cloud) — OPC UA → MQTT → Confluent
A foundational flow showing how PLC data is collected via OPC UA, mapped to MQTT using HiveMQ Edge, and forwarded to cloud systems. - Multi-Site PLC-to-Cloud Flow using HiveMQ Edge + Cloud
An extension of the basic pattern, demonstrating how multiple sites and Edge instances can feed a centralized cloud or enterprise broker. - HiveMQ Edge-to-Cloud AI Pipeline
A use-case-driven example showing how OT data can be consumed by analytics and AI workloads once it is available via MQTT. - Secure OT/IT Data Integration Using HiveMQ Edge and Site DMZ
A reference architecture illustrating how enterprises typically separate OT and IT using a Site DMZ (Level 3.5), with HiveMQ Edge and brokers deployed in layers.
Each article is intentionally architecture-focused and vendor-neutral, reflecting how HiveMQ is deployed in real industrial environments.

