Deploying IoT at scale requires devices, often firmware containing private device keys, serial numbers, uuids, when, where and by whom they were installed, last changed, when to update, upgrade, decommission.
Cypernet links directly with IoT cloud platforms to set up and manage large scale device, application, dashboards, virtual machines, docker containers and pipelines flows for all applications in the hubs, by region and customer.
Cypernet periodically captures and disposed of Digital-Twin data that contains device condition such as status, signal strength used in early prediction of service outage, interuptions or trigger events.
ML models trained to recognise patterns trigger maintenance and service tasks for automated systems and service staff.
Pre-defined lifecycle templates are compared to devices by application, duty cycle, location to pre-plan automated and semiautomated commissioning, upgrade, decomissioning activities across the IoT ecosystem.