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What is IndustryOS Edge?

Full IoT Processing at the Network Edge

IndustryOS Edge runs dashboards, rule chains, alarms, and device control locally on site hardware — even during complete internet outages. Operators never lose visibility. Data syncs to cloud when connectivity returns.

This is not a stripped-down gateway. It is the same rule engine, dashboard framework, and device management layer that runs in IndustryOS Cloud, packaged to operate autonomously at the edge of your network.


Why Edge Matters

Operational Continuity

Edge processing delivers sub-second response times with no cloud round-trip latency. Alarm evaluation, dashboard updates, and device commands execute locally. A severed fibre link or satellite outage does not shut down your monitoring — operators retain full control of on-site systems regardless of upstream connectivity.

Bandwidth Optimisation

Raw telemetry from thousands of sensors generates massive data volumes. Edge filters, aggregates, and compresses locally, sending only meaningful data upstream. Reduce backhaul traffic by orders of magnitude — critical for remote sites on satellite or cellular links where bandwidth is expensive and unreliable.

Autonomous Operation

Local alarm management, RPC command handling, and rule chain execution continue without any cloud dependency. Edge instances make decisions independently: trigger shutdowns, adjust setpoints, escalate alerts to on-site personnel. When connectivity returns, all locally generated data, alarms, and events sync automatically to the central platform.


Capabilities

Rule Engine

The same drag-and-drop rule chain builder used in IndustryOS Cloud. Create, test, and deploy processing logic locally. Rules execute against incoming telemetry in real time — no round-trip to a remote server.

Dashboards

Build and display operational dashboards on local screens. Same widget library, same drag-and-drop builder. Dashboards render from local data stores, so they load instantly regardless of internet status.

Device Management

Provision, monitor, and control local devices directly from the Edge instance. Supports remote command execution (RPC) and status monitoring for every connected device in the local zone.

Multi-Protocol Support

Protocol Transport
HTTP REST API device connectivity
MQTT Lightweight publish/subscribe telemetry
CoAP Constrained device communication
OPC-UA Industrial equipment and PLCs
TCP/UDP Raw socket connections for legacy hardware

Cloud Synchronisation

Edge instances maintain a persistent sync channel to IndustryOS Cloud. Telemetry, alarms, device attributes, and configuration changes replicate bidirectionally. During outages, data buffers locally and uploads in order when the link recovers. No data loss, no manual intervention.

OTA Updates

Push firmware updates, rule chain modifications, and dashboard configurations from the central platform to any Edge instance. Updates stage locally and apply on schedule — no site visit required.


Deployment

IndustryOS Edge runs on minimal hardware. Choose the deployment model that fits your site:

Method Environment
Docker Standard Linux servers, industrial PCs, virtualised infrastructure
Bare Metal Direct installation on dedicated hardware for maximum performance
Raspberry Pi Low-cost deployments for monitoring stations and remote cabinets

Deploy multiple Edge instances per site for zone-level coverage. Each instance operates independently, managing its own devices, rules, and dashboards. All instances report to the same central cloud platform for unified visibility.

Sizing Reference

Scale Devices Recommended Hardware
Small zone Up to 100 Raspberry Pi 4 / 4 GB RAM
Medium zone 100 - 1,000 Industrial PC / 8 GB RAM
Large zone 1,000+ Server-class hardware / 16 GB+ RAM

Architecture

Field Devices
Sensors
Equipment
PLCs
Gateways
IndustryOS Edge
Local processing Local dashboards Local alarms Local RPC
IndustryOS Cloud
Central visibility Cross-site analytics Long-term storage Fleet management

Edge is designed for the realities of industrial networking: intermittent connectivity, high-latency links, and strict data sovereignty requirements. Every feature assumes the cloud connection may drop at any moment — and operates accordingly.