Why Rayven Hybrid Edge?
Speed + Latency: The ability to make decisions at the Edge can be crucial. For example, if a vibration sensor is attached to a machine, with the machine programmed to shut down if vibrations spike, a one-second difference could be critical. With Rayven Edge Compute, this is achieved by acting on sensor values and making the shutdown decision locally.
Security: Edge computing eliminates the need to move data from end-points to the cloud and back, reducing the amount of communication between the devices and the vulnerability of the application.
Reduce data transfer costs: Your devices and sensors can generate hundreds of data points per second, and it’s likely you only care about long-term averages and/or anomalies. By filtering sensor values at a local level, you can reduce data noise within your solution and cut the number of payloads generated, saving bandwidth and data costs.
Data integrity: If your devices are deployed in places with intermittent internet service, you can use Rayven Edge Compute to accumulate data from the device before then, with connectivity, sending it all to the cloud in batches.
