Portal for public SaaS MQTT labs based on MIMIC MQTT Simulator .
End-to-end MQTT Latency Testing
Lab with sensors publishing unique telemetry messages to the MQTT broker of your choice.
The lab adds end-to-end latency measurements as detailed in our blog post .
This lab demonstrates real-time, dynamic, predictable, custom telemetry from many simulated sensors to MQTT subscriber clients or IoT applications. In this case we are publishing timestamped telemetry to a broker, and receiving the message back in a subscriber, which then calculates round-trip delays.
The power of MIMIC is not limited to this. If you have a scenario you need simulated, send e-mail to firstname.lastname@example.org.
The lab consists of a small number of publishers (by default 9), and one subscriber client. The publishers send timestamped (to the microsecond granularity) messages to the broker, which returns each to the subscriber client. The subscriber client calculates round-trip delay for each message, then keeps track of minimum, average and maximum over all the publishers.
The statistics are published in a dashboard dialog, and can optionally be exported to a Carbon server .
Frequently Asked Questions
- Q: What will this cost me?
A: If you are renting through the AWS Marketplace , the costs are indicated there. Else, if you are renting directly from Gambit, the fixed cost for the MIMIC MQTT lab is indicated. Well worth the savings in effort in seeing a third-party device publish to your IoT application in under 5 minutes.
IMPORTANT: if you are using this lab through AWS, make sure to terminate any instances that you launched, as they WILL incur charges if left running.
- Q: What about security / privacy?
A: Any data you store in your MIMIC MQTT Lab is not accessible by any other users on our server.
- Q: What next?
A: This lab gives you a small successful step in connecting a few third-party sensors publishing real-time, dynamic, predictable, controllable telemetry to IoT applications in a matter of minutes. The next steps are up to you:
- You can build on what you learned to connect your own devices to
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- You can scale the deployment to as many devices as you need to test, demo, train your IoT Application.
- You can build on what you learned to connect your own devices to your application;