IoT Edge
Definition
Azure service that deploys cloud workloads to run on IoT devices locally, enabling artificial intelligence and analytics at the edge.
Use Cases
- Chevron: Oil and gas equipment monitoring and analytics at remote sites — Chevron has publicly described using Azure IoT and edge computing patterns to process sensor data closer to operations, reducing reliance on constant connectivity and enabling faster operational insights. (Improved ability to act on operational data in near real time at remote locations and reduced dependency on backhauling all raw telemetry to the cloud.)
- Rolls-Royce: Industrial/engine health monitoring with local processing — Rolls-Royce has discussed using Azure-based IoT and analytics approaches, including edge processing patterns, to analyze equipment data and support predictive maintenance scenarios where latency and bandwidth matter. (Faster detection of anomalies and more efficient maintenance workflows by processing and filtering data closer to where it is generated.)
Provider Equivalents
- AWS: AWS IoT Greengrass
- Azure: Azure IoT Edge
- GCP: Google Distributed Cloud Edge (often paired with Cloud IoT Core alternatives via partners)
- OCI: OCI Roving Edge Infrastructure
Frequently Asked Questions
- What's the difference between Azure IoT Edge and Azure IoT Hub?
- Azure IoT Hub is the cloud service that securely connects, manages, and ingests telemetry from devices. Azure IoT Edge is software you run on a device (like a gateway or industrial PC) so it can execute workloads locally (often as containers). In practice, IoT Hub is the cloud control plane and messaging endpoint, while IoT Edge is the on-device runtime that can keep working even when connectivity is limited.
- When should I use IoT Edge?
- Use IoT Edge when you need low-latency decisions (milliseconds/seconds), want to reduce bandwidth costs by filtering/aggregating data locally, must keep sensitive data on-site for privacy or compliance, or operate in locations with unreliable or intermittent internet. Common scenarios include video analytics, factory quality inspection, predictive maintenance, and store/branch analytics.
- How much does IoT Edge cost?
- The IoT Edge runtime itself is not billed as a separate Azure service, but you pay for the Azure services you use to manage and connect it (commonly Azure IoT Hub) and for the compute you run on the edge device (your hardware/VM costs, OS, and any paid software). Costs typically depend on IoT Hub tier and message volume, number of connected devices/modules, data egress, and any additional services used (for example, cloud storage, monitoring, or model training).
Category: cloud
Difficulty: advanced
Related Terms
See Also