Remote sites generate more data than ever. Doing something useful with it usually means one of two things: ship every reading to the cloud and wait for an answer, or run nothing custom at all because the control system cannot be put at risk.
With Docker on the RTU32M, there is a third option. You run your own software right where the data is.
The cloud round-trip problem
Sending data to the cloud and back adds latency, eats bandwidth, and falls apart the moment connectivity drops. For a remote substation, pumping station or solar site, that round-trip is often the weakest link in the whole system.
The obvious workaround, bolting custom code straight onto the controller, brings its own risk. Anything that shares memory with the control logic can destabilise the very process the RTU is there to protect. So most teams simply do not do it.
Run your own code, safely, at the edge
Docker changes the equation. The RTU32M lets you deploy your own containerised applications directly on the controller, isolated from the control logic, and running right at the edge.
Why it matters for your project
- Lower latency. Decisions happen at the edge, in real time, not after a trip to the cloud.
- Less bandwidth and cost. Process locally and send only what matters.
- Resilience. Keep working even when the link to the cloud drops.
- Faster iteration. Ship and update your own apps with standard, familiar tooling.
The RTU used to be a fixed-function box. With Docker on the RTU32M, it becomes a platform you can build on.