Is it possible to bring cloud capabilities closer to local devices? Using Edge computing, data can be processed close to the source where data is generated.
Edge Computing addresses two critical scenarios, one where the devices are in remote locations with limited connectivity and second when the customers do not want to send their data to cloud for security reasons. In both the scenarios customer would like to have all the cloud capabilities implemented locally close to the devices.
With AWS IoT Greengrass all cloud capabilities can be implemented on local Edge devices. Multiple Edge devices can be connected to each other within the local network to ensure that device to device, device to sensor and sensor to device communication is possible. AWS IoT Greengrass core helps Edge devices to collect, manage and analyse data closer to the source of information (sensors and actuators), react automatically to local events and communicate securely with each other on local networks. AWS IoT Greengrass developers can use AWS Lambda SDK to work with Lambda functions and prebuilt connectors to create event-driven serverless applications and their logics that are deployed to Edge devices for local operations.