netFIELD Private Cloud Device Management for the Industrial Edge → Centralized management of any edge device and entire device fleets → Reduction of TCO through efficient orchestration of distributed edge applications Machine builder Smart machine → Ready-to-use infrastructure enables immediate launch of digital business models Application Management for Smart Services Smart machine → Scaled for businesses with hierarchical organization structures → CRA-compliant implementation of networked machines Remote Service Smart machine Digital into the future The netFIELD edge management platform is a reliable and scalable platform for implementing your own Industrial IoT solution at the IT-OT edge or a hybrid: from remote maintenance of machines and predictive maintenance to new data-driven service business models. netFIELD supports both IIoT retrofitting and completely redesigned solutions. When you rely on netFIELD, you’re profiting from Hilscher’s years of experience in industrial communication and automation solutions for the proven implementation of IT-OT convergence and Industry 4.0 solutions. → netFIELD Private Cloud Hotline: +49 (0) 6190 9907-90 www.hilscher.com Scaling Industrial IoT to larger numbers of machines, edge gateways, and edge software components is a challenge that is often underestimated. Operating edge gateways and the edge computing applications that run on them requires regular maintenance of the operating system, distributed software, IIoT data streams and integration with automation networks. Further requirements arise from the cyber security regulation (CRA and NIS-2). netFIELD is our answer to thes

Productinformation Technical Data Product type Interfaces for cloud integration Server software for installation on your own infrastructure All essential system functions can be used via REST APIs Billing model Standardized data interface (Cloud & Edge) Monthly service fee MQTT Broker Supported edge devices Edge gateways or industrial PCs with netFIELD Client (netFIELD OS or netFIELD extension for Linux) Server infrastructure A Kubernetes cluster with at least 32 GB RAM, 6 CPU cores with support for AVX instruction set, and at least 500 GB storage is required. The actual resource requirements...