They said in the article without getting super-specific that they have low-latency / high-throughput / time sensitive data processing needs in each restaurant. It sounds like they have a whole bunch of sensors tracking their inventory and food preparation pipeline. Other comments here link to other blog posts by them with more details about french fry done-ness deep learning models, for example (wacky but cool).
If you had to go across the internet to the cloud at such a high rate from each restaurant, this would probably come with pretty high failure rates and levels of flakiness. It makes sense to me to process the local data firehose in-house and keep the rest of the common high-level stuff in the cloud.
If you had to go across the internet to the cloud at such a high rate from each restaurant, this would probably come with pretty high failure rates and levels of flakiness. It makes sense to me to process the local data firehose in-house and keep the rest of the common high-level stuff in the cloud.