Foggy, Cloudy, or Edge-y: Which Computing Fits?

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     I gained valuable insights during the webinar. Before, I had limited understanding about these concepts, but this session taught me how each model can be effectively utilized in real-world applications. I know now that selecting an appropriate paradigm depends on the specific use cases cloud computing for centralized data storage and edge computing for low latency applications like the IoT devices.  


The resource speaker started by defining what is cloud computing, he said that it access to resources over the internet. It’s key characteristics are scalability and cost-effectiveness. He also discuss the benefits of cloud computing some of it were, it reduces it costs through shared infrastructure, then it provides redundancy and security for data storage. 

The resource speaker also leave some takeaways such as the understanding distinct computing models helps in application selection, Choose based on data requirements, latency needs, and cost structures and a hybrid approach often yields the best balance of resources. 


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