Edge computing is a rapidly growing technology that has found its way into various industries and use cases. One example of edge computing in action is smart cities. In a smart city, numerous devices such as sensors, cameras, and traffic lights generate vast amounts of data in real-time. Instead of sending all this data to a central cloud server for processing and analysis, edge computing allows the data to be processed and analyzed at the network’s edge or closer to where it is generated.

By deploying edge computing infrastructure throughout the city, these devices can perform local analytics and make near-instantaneous decisions without relying on distant servers. This enables faster response times for critical operations like traffic management, waste management optimization, or emergency services coordination. Edge computing also reduces latency by eliminating the need for data to travel back-and-forth between devices and centralized servers. Smart cities are just one example that showcases how edge computing revolutionizes traditional approaches by bringing computational power closer to where it’s needed most.