Chick-fil-A runs a Kubernetes cluster in every restaurant, managed by GitOps. Walmart runs regional clouds plus edge clouds in stores and clubs. McDonald's is putting Google Distributed Cloud into thousands of restaurants. Why retailers put compute in stores, how they manage thousands of tiny sites, and the AWS equivalents.
A restaurant or store has to keep taking orders when its internet link drops, and kitchen equipment, sensors and point-of-sale systems need answers in milliseconds. That is why the largest operators run computing on site, and why managing thousands of small sites has become its own engineering discipline.
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Tens of containers on thousands of clusters, the reverse of most Kubernetes estates. Chick-fil-A's engineers noted that this scale breaks a lot of standard tooling.
Pull, not push. Sites fetch their configuration when they can reach the cloud, so a site that was offline catches up on its own.
Local first. The store works without the cloud; the cloud gets data when the link is up.
Identical sites. Every location runs the same image and configuration, so a fix is one commit, not 2,000 tickets.
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As of October 25, 2026. Provided as is, for general information, and accurate to the best of our knowledge on the date shown. Not legal, compliance, tax, financial or other professional advice. Prices, limits and vendor services change; check current vendor documentation before relying on anything here. Terms of use.