Microsoft Azure IoT Edge: A Complete Suite for Edge Computing and Real-time Analytics
Rating: 8 out of 10
Use Cases and Deployment Scope
Data needs to gather from devices and needs to be processed before pushing it to the Microsoft Azure IoT Edge hub. Also, Device servers are present in network but it doesn't have access of internet for the security purpose. So to solve this issue Microsoft Azure IoT Edge is used, Microsoft Azure IoT Edge communicates with the server using MQTT protocol, customize module is used to process the data, and then it pushes to the IoT hub.
Pros
- secure communication through proxy
- dockerize module can be pushed from Microsoft Azure IoT Edge to achieve business needs
- edge computing and edge analytics can be done using Microsoft Azure IoT Edge
Cons
- Microsoft Azure IoT Edge must support more Azure services for Edge computing.
- Like stream analytics integration with Microsoft Azure IoT Edge. Other services also should be integrated with Microsoft Azure IoT Edge for alerts and notifications.
- Buffering issue needs to be resolved.
Likelihood to Recommend
Microsoft Azure IoT Edge is well suited where Edge computing and analytics are required. It is also useful when the device doesn't have the capability to directly push the data to IoT hub. Filtration of raw data to some meaningful data is the business requirement then Microsoft Azure IoT Edge can be used.
