When it comes to your restaurant tech stack, Edge Computing may not be your first concern. But understanding the power this new computing model can have on your restaurant tech stability and future innovation is essential.
July 7, 2022
The concept of Edge Computing is fairly simple: it means computing is done close to theactual sourceof data—bridging the time gap between data and decision making.
Edge Computing reduces dependency on remote databases (in the cloud) to transmit data faster. When it comes to large, distributed restaurants—there's a massive amount of data flowing between the public cloud and the store. If not efficiently handled, that data can slow down, and even crash, systems.
While cloud computing brings tremendous advantages in network speed and reliability—these benefits go out the window if you can’t guarantee connectivity. That’s where Edge Computing comes into play.
Edge Computing is used toprocess time-sensitive data, while cloud computing is used to process data that is not (or less) time-sensitive. If there were unlimited bandwidth and guaranteed speed, the cloud would be good enough, but with today’s realities of unpredictable latency, outages, and poor speed/bandwidth, Edge Computing offers many advantages over strict cloud computing setups.
Beyond increased agility, Edge Computing provides a spectrum of benefits to organizations that want to:
Edge Computing is a concept that Qu has incorporated into our API-forward modern architecture, in a manner that empowers restaurants with game-changing levels of stability. Our in-store cloud technology is powered by Edge Computing, and not only brings data closer to where it’s needed within a restaurant but provides high reliability and uptime.
Most importantly, it is completely fluid—your in-store systems communicate and switch seamlessly between the in-store cloud and the public cloud.
Commerce Cloud, a term coined by Qu’s technologists, is the replication of the public cloud at the store level. Those two components (public cloud + local, in-store cloud) provide the foundation for the next generation of cloud computing—and deliver stronger business continuity for restaurants.
There arethree layers of redundancy available in the commerce cloud model, to ensure restaurants stay online, even if network connectivity is lost.
Qu's implementation of Edge Computing brings a piece of the cloud down to the store, using a small but powerful in-store device that supports our in-store cloud functionality. This piece of hardware is our instance of Edge Computing and brings the computing power to the data needed to keep things running in the restaurant. This Edge Node client provides a synchronization hub that houses all the data that each client needs to run successfully.
Additionally, all APIs housed in the cloud that are necessary to run a restaurant’s technology stack are replicated within the in-store cloud, driving faster order placement, as well as quick transactions and payments processing. These APIs (which support the authentication, configuration, and operational functions) were purpose-built to keep a restaurant up and running, even when network connectivity is interrupted.
Finally, as an event-driven architecture, the in-store cloud captures the timestamps and metadata that are necessary to reconstruct a previous state, as well as the sequence of prior events. We capture this metadata in a blockchain-like ledgerthat helps a restaurant recover quickly and accurately if network connectivity is lost or interrupted.
With this approach to next-gen, commerce cloud-deployed architecture and network capabilities using Edge Computing, enterprise restaurants can realize tangible benefits like:
Although organizations can only do so much when network connections fail, what brands can do is implement a technology approach that is prepared for interruptions and helps restaurants recover quickly.
An innovative Commerce Cloud approach—powered by Edge Computing and a truly modern architecture—ensures that brands are able to keep making great food, delighting guests, and perhaps most importantly continue to drive revenues, even when network and internet connections are less than perfect.
The future will require restaurant chains to adopt Edge Computing if they want to incorporate more advanced capabilities within their guest experience and tech stacks. These may include:
Edge Computing has the power to bring data closer to where decision-making needs to be made. As the guest—and their diverse ordering patterns and channels—has now displaced the POS as the center of every restaurant’s operation, cloud resiliency, network connectivity, and the ability to innovate along with the guest are crucial elements of any enterprise brand’s success.
Qu is the restaurant technology company evolving POS, responsibly, for a more sustainable future. With the industry’s first unified commerce platform, Qu’s fully integrated products go beyond fragmented ordering and tech experiences to create healthier connections for restaurant operating teams and their many stakeholders.