Publish / Subscribe Architecture
Understand brokers, clients, topics and decoupled data distribution instead of point-to-point polling between every system.
Advanced IT / OT Course · MQTT · IIoT · Edge · Python · Cloud
Learn MQTT for industrial IoT data exchange using broker-based publish/subscribe communication. The course covers topics, payloads, QoS, retained messages, Last Will, security, Python clients, PLC/SCADA gateways, edge architecture and reliable plant-to-cloud data flow.
Why Important
MQTT is lightweight, bandwidth-efficient and based on publish/subscribe messaging. It is widely used for edge-to-cloud telemetry and for distributing industrial data to multiple consumers without tightly coupling every producer to every application.
Understand brokers, clients, topics and decoupled data distribution instead of point-to-point polling between every system.
Work with QoS, retained messages, persistent sessions, Last Will, authentication and TLS concepts for robust IIoT messaging.
Connect PLC/SCADA data to MQTT through an appropriate edge or software gateway, then consume it with Python, dashboards or cloud services.
IT / OT Architecture
A common pattern is PLC / SCADA → edge or software gateway → MQTT broker → Python, dashboard, historian, MES or cloud subscribers. The broker decouples data producers from consumers.
Applications
Publish energy meter, compressed-air, water, steam or other utility values to a common broker for dashboards and reporting.
Distribute machine status, cycle count, process values and alarms from an edge gateway to multiple consumers.
Move selected plant telemetry from an edge layer to cloud or centralized analytics without direct cloud access to PLC control networks.
Allow Python services, historians, dashboards and other subscribers to receive the same data stream independently.
Technical Positioning
This comparison helps participants select the right communication layer instead of forcing one protocol into every application.
| Area | Primary Role | Typical Industrial Use |
|---|---|---|
| OPC UA | Structured industrial interoperability | Rich information model, secure client/server and subscriptions between OT/industrial systems. |
| MQTT | Broker-based publish/subscribe messaging | Lightweight telemetry, edge-to-cloud, event distribution and many-to-many data consumption. |
| REST API | Application request/response integration | On-demand software integration with MES/ERP, dashboards, reporting and web services. |
Course Outcome
Create maintainable topic structures, JSON payloads and naming rules for plant or multi-machine data.
Configure broker/client communication and build Python publishers and subscribers with reconnect and error handling.
Bridge selected PLC/SCADA data through an edge or software gateway and deliver it to SQL, dashboards or cloud subscribers.
FAQ
Some PLCs or edge products support MQTT natively or through libraries, while others need a gateway or software layer. The architecture should follow the capability and cybersecurity requirements of the installed platform.
MQTT is a lightweight broker-based messaging protocol suited to telemetry and IIoT distribution. OPC UA provides richer industrial information modelling and direct industrial interoperability. Many projects use both.
It depends on the data and failure model. QoS 0 is fastest but has no delivery guarantee, QoS 1 targets at-least-once delivery, and QoS 2 targets exactly-once protocol delivery with more overhead.
No. MQTT is primarily for telemetry and application data exchange. Safety, motion and time-critical control should remain on purpose-built industrial control networks and safety systems.
Related Industry 4.0 Courses
Build a complete workflow across PLC programming, OPC UA, SCADA scripting, SQL, Python, REST API and MQTT / IIoT communication.
Enquiry
Send your requirement for classroom, online, corporate or in-plant training. Practical examples can be aligned with Siemens, Rockwell, Mitsubishi, Schneider, ABB, Delta and multi-vendor IT/OT systems.