Edge computing is a distributed computing paradigm that brings computation and data storage closer to the sources of data, such as IoT devices or local edge servers. This is expected to improve response times and save bandwidth. Edge computing is a networking technology that enables devices in remote locations to process data and perform actions in real-time by minimizing network latency through processing most data at the "edge" of the network, such as by the device itself or by a nearby server, and only sending the most relevant data to the main data center for near-instant processing.

Here are some key features of edge computing:

• Proximity to data sources: Edge computing brings enterprise applications closer to data sources such as IoT devices or local edge servers.

• Real-time processing: Edge computing is used in applications where real-time processing of data is required.

• Distributed computing: Edge computing is a distributed computing architecture in which client data is processed at the periphery of the network, as close to the originating source as possible.

• Improved performance: Edge computing helps you unlock the potential of the vast untapped data that’s created by connected devices. You can uncover new business opportunities, increase operational efficiency and provide faster, more reliable and consistent experiences for your customers.

Edge computing is becoming more popular because it allows enterprises to collect and analyze their raw data more efficiently. Organizations need instant access to their data to make informed decisions about their operational efficiency and business functions. When appropriately used, edge computing has the potential to help organizations improve safety and performance, automate processes, and improve user experience.