Keep your runtime; add the operations layer

Meridian Autonomy already runs containers or a custom supervisor on every cell. Solstice keeps BMS stacks that predate the ops programme. Fear that Dataplicity “replaces everything” blocks adoption - or worse, triggers a rip-and-replace that stalls the product.

Without Dataplicity

Ops spreads across spreadsheets and overlapping systems. Generic dashboards and incident tools often lack durable device identity, customer or site context, and fleet-scoped selectors unless you build that layer yourself. Or you invent one operations layer per programme - Meridian’s robotics line and Harbor’s players never share a playbook.

With Dataplicity

1. Keep the runtime and application stack you already ship.
2. Add the operations layer built around each IoT device: inventory, logs, alerts, incidents where enabled, customer context, and supported platform history where recorded - with remote access when support needs it.
3. Choose managed Software only when it helps - if Dataplicity should install and version an OCI publisher, use Engineering > Software > Containers. Otherwise keep your existing process and publish product streams through the local agent broker where supported.
4. Fit the tools - specialist log, ITSM, and network platforms can stay where they serve the wider organisation; Dataplicity centres workflows on each deployed device.
5. Pick your business path - internal IoT operations or connected product company - and the field advantages that match your fleets. Match the shape in illustrative customers if one vertical already looks like yours.

Outcome

An ops layer without rewriting the device software programme.

Next

• What Dataplicity is for
• Dataplicity beside your existing stack
• How it works
• Turn your hardware into a customer SaaS product
• Build a class container
• Illustrative customers
• Business workflows hub