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Ready for the rush
Ordering and reservation systems that hold at the busiest moment of the evening, and scale back once service ends.
Restaurant software sees demand in sharp daily peaks: lunch, dinner, the Friday rush, the delivery surge when it rains. Paying for peak capacity around the clock is how most groups end up overspending on infrastructure. Compute bills by the second and prices machines under the leading cloud.
Used by independent restaurants, fast-growing chains and Fortune 500 food-service brands for ordering, reservations and operations.
What this looks like in practice
Ordering and reservation systems that hold at the busiest moment of the evening, and scale back once service ends.
Per-second billing means quiet afternoons cost what they use. Nothing is reserved against a forecast.
CPU instances and managed databases priced 30% under the leading cloud for the same thing, with the leading cloud’s figure shown beside ours.
Menus, prices and promotions changed once and published everywhere, with a record of what changed and when.
Restaurants staff for the rush and send people home when it is quiet. Infrastructure is rarely run that way, mostly because the tools made it awkward. Per-second billing makes it the default.
Every restaurant group knows the shape of its week. The infrastructure behind ordering and reservations can follow that shape instead of being sized for its tallest point. A single kitchen starts on the free allowance; a chain with thousands of sites pays the same per-second rate, under the leading cloud, for what it actually runs.
Brand and ordering sites deployed on Panel, close to customers with Nexus.
Orders, reservations and loyalty in managed databases priced under the leading cloud’s managed databases.
Orders routed to kitchen displays through queues in Cloud Services.
Domains and DNS for every brand and location, managed together.
Compared with the leading cloud's own published on-demand prices, US East. Every comparison.
No. The free allowance covers two databases, 40 GB of database storage and 10 GB of object storage, and there is no minimum spend. You pay only once you run more than that.
Capacity rises with demand and falls back after it, so the busiest moment does not have to be paid for all day.
No, and we do not say so. The figure applies to CPU and GPU instances, managed database hours, build minutes, AI inference and support plans. Storage and bandwidth are priced separately and published.
No. Usage is billed as it happens, and support plans are monthly.
Run agents, the tools they call and the models behind them on one platform, billed by the token and the second, for less than the same work costs on the leading cloud.
Host the landing pages, attribution pipelines and onboarding flows that bring customers in, and spend less on the infrastructure than you would on the leading cloud.
Run campaign sites, personalisation, content pipelines and marketing data on one platform that costs less than the leading cloud for the same machines and models.
Run the forms, enrichment jobs, scoring models and routing that turn interest into leads, for less than the same infrastructure costs on the leading cloud.
Run CRMs, sales data, call analysis and AI assistants on one platform, priced under the leading cloud for the same machines, databases and models.
Host creator platforms, media processing, storefronts and AI tools on infrastructure that bills by the second and costs less than the leading cloud for the same machines.
Begin with one workload. Keep what you have running. Decide whether to continue once you have seen it carry something real.
No migration required to begin. Nothing to tear down if you stop.