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The HiveMQ Broker can be set up to run as a default application (command window) or as a service. |
Pre-Installation Requirements
To install HiveMQ on Windows, Linux or MacOS you need to meet the following requirements:
- At least 4GB of RAM. (information available at the HiveMQ website).
- 4 or more CPUs. (information available at the HiveMQ website).
- 100GB or more free disk space (information available at the HiveMQ website).
- Java Runtime Environment 11 or newer, see it available in HERE.
Installation Procedure
1. Install our software platform with the Complete option, or enable HiveMQ installation on Custom.
2. Alternatively, you can download HIveMQ zip file directly from here, and unzip.
3. To launch the Broker, run the batch file at ...bat with admin privileges. By default, the file will be at: C:\Program Files (x86)\Tatsoft\FactoryStudio\fs-9.2\HiveMQ\bin
4. To check if the Broker is set up correctly, navigate with your browser to http://localhost:8080 to access the HiveMQ Control Cernter. The default login credentials are user: admin , password: hivemq
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By default, the HiveMQ broker starts on localhost IP (127.0.0.1) and listens to port 1883. |
Installing as a Service
1. Download the hivemq-windows-service.zip.
2. Unzip the hivemq-windows-service.zip file.
3. Copy the windows-service folder to your HiveMQ home folder.
4. Open the windows-service folder.
5. Launch the installService.bat file with admin privileges.
6. Restart your system.
Notes about software platform embedded broker
Our software platform has a built-in MQTT Broker (TMQTTBroker), intended to supply a simple out-of-box solution for the development environment or embedded edge devices. That tools does not have the administration features available at HiveMQ broker, therefore for production and enterprise environments we recommend the HiveMQ broker instead of the embedded one.
Designing an Edge to Cloud Architecture for IIoT
In this webinar, experts from Tatsoft and HiveMQ discussed the key components of a modern edge to cloud IIoT architecture, identified key challenges to its implementation, and demonstrated Tatsoft’s recent product release of FactoryWork and FactoryStudio, which includes support for MQTT and Sparkplug.
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