Keep your runtime; add the operations layer

Your team already runs Greengrass, balena, systemd services, containers, or a custom supervisor. 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. Dashboards and incident tools look complete on paper, but they were never built to manage IoT devices - no device identity, no customer context, no fleet-specific workflows. Or you invent one ops layer per programme.

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, customer context, and audit - with remote access when support needs it.
3. Fit the tools - specialist log, ITSM, and network platforms can stay where they serve the wider organisation; Dataplicity centres workflows on each deployed device.
4. Pick your business path - internal IoT operations or connected product company - and the field advantages that match your fleets.

Outcome

An ops layer without rewriting the device software programme.

Next

• What Dataplicity is for
• Dataplicity in your operations stack
• How it works
• Business workflows hub