Edge computing is reshaping the development landscape by bringing computation and storage closer to the data sources.
Key factors driving the adoption of edge computing include the explosion of IoT devices, real-time requirements, bandwidth limitations, privacy regulations, and the deployment of AI.
Developers should consider architectural approaches like microservices, FaaS, and event-driven architecture when designing applications for edge computing.
Some real-world applications driving edge adoption include smart manufacturing, autonomous vehicles, retail intelligence, and smart cities.