Edge computing means processing data closer to where it is generated. In traditional cloud architecture, data is usually sent to central servers for processing. In some scenarios, this can create latency, bandwidth and cost problems.

IoT devices, industrial sensors, autonomous vehicles and real-time monitoring systems often require fast processing. Instead of sending all data to a remote cloud, processing it on an edge device or local network can provide faster results.

Edge computing reduces latency. For example, a production line may need to detect a machine failure and react within milliseconds. Waiting for a cloud round trip may not be acceptable.

It can also reduce bandwidth usage. Devices can send only summaries, alerts or meaningful results instead of raw data. This is important in systems with many sensors.

Edge computing is not a replacement for cloud computing. It complements the cloud. Fast decisions can be handled at the edge, while long-term analysis, reporting and central management can remain in the cloud.