Charlotte, United States
Server infrastructure for Restaurant Chains in Charlotte
The right server for Restaurant Chains is decided by the work it has to do, not by the size of the plan you happen to land on. For a large Restaurant Chains business in Charlotte that is about 16 Cores, 196 GB of memory and 600 GB of storage on Dedicated Server.
- ✓ 5 infrastructure tiers
- ✓ Sized for your workload, not a plan name
- ✓ Same price in all 24 locations
Estimated from fibre distance, not measured from Charlotte. Your real figure depends on your connection and route, and lands inside this range.
Choose the infrastructure for your workload
Three sizes of business, each sized from an assumed traffic figure rather than a measured one. If you know your own numbers, tell us and the estimate changes with them.
Small Restaurant Chains
1–10 people · ~5,000 visits a month
$162.20 USD USD
per month · VPS
- Single Core
- 16 GB RAM
- 80 GB storage
About 0.7 requests a second at peak, holding roughly 11.2 GB of working data.
Configure this build →Medium Restaurant Chains
11–50 people · ~50,000 visits a month
$425.65 USD USD
per month · VDS
- 4 Cores
- 48 GB RAM
- 200 GB storage
- Managed
About 6.8 requests a second at peak, holding roughly 32 GB of working data.
Configure this build →Large Restaurant Chains Most likely here
51+ people · ~500,000 visits a month
$1,681.15 USD USD
per month · Dedicated Server
- 16 Cores
- 196 GB RAM
- 600 GB storage
- Managed
About 67.5 requests a second at peak, holding roughly 128 GB of working data.
Configure this build →These figures are assumptions stated out loud, not predictions about your business. Memory, cores and disk can all be raised on the same server later, usually within the hour, with no rebuild and no new IP address — so starting one size below the estimate is normally the cheaper mistake.
Why Restaurant Chains size up this way
Working from about 500,000 visits a month and roughly 1,166,667 requests a day, peaks run about 5× the average hour, so the build is sized for the busiest moment rather than the typical one; and about 128 GB of data needs to stay in memory to keep queries fast.
- 67.5 req/sec at peak
- 128 GB working set
- 12 GB/month growth
- Linux
Which tiers suit Restaurant Chains
Including the ones that do not, and why — that is usually the more useful half.
| Infrastructure | Verdict | Why |
|---|---|---|
| Shared Hosting Managed space on a shared server | Workable | Workable for a single small property or practice, though a shared database is the first thing to strain when bookings cluster. |
| VPS Flexible virtual infrastructure with full root access | Recommended | A VPS handles a booking engine and its database comfortably, with predictable performance when enquiries spike. |
| VDS Virtual server with resources pinned to you alone | Recommended | Pinned resources matter here: a reservation that times out at the payment step is a booking you never see. |
| Dedicated Server An entire physical server, configured to your specification | Workable | Right once you are running several properties, or a property management system alongside the public site. |
| Bare Metal Physical compute for sustained, demanding workloads | Not this one | Reservation workloads are database-bound rather than compute-bound, so the extra physical capacity goes unused. |
Restaurant Chains workloads you can host
A menu change has to reach every site consistently, and every site reports back — the centre carries both directions.
- Central menu & pricing
- Per-site POS sync
- Franchise reporting
- Group loyalty
- Supply ordering
Where your server runs
All 24 locations cost the same, so pick whichever sits closest to the people who will actually use the server.
Charlotte is closest to Atlanta. Every marker costs the same per month.
Show all 24 locations and distances from Charlotte ▾
| Location | Distance | Est. round trip |
|---|---|---|
| Americas · 9 locations | ||
| Atlanta, United States | 226 miles | 5–11 ms |
| New York, United States | 531 miles | 13–26 ms |
| Toronto, Canada | 587 miles | 14–28 ms |
| Chicago, United States | 587 miles | 14–28 ms |
| Miami, United States | 655 miles | 16–32 ms |
| Dallas, United States | 928 miles | 22–45 ms |
| Los Angeles, United States | 2,115 miles | 51–102 ms |
| Santa Clara, United States | 2,276 miles | 55–110 ms |
| Seattle, United States | 2,281 miles | 55–110 ms |
| Europe, Middle East & Africa · 8 locations | ||
| London, United Kingdom | 3,991 miles | 96–193 ms |
| Madrid, Spain | 4,089 miles | 99–197 ms |
| Amsterdam, The Netherlands | 4,174 miles | 101–202 ms |
| Frankfurt, Germany | 4,384 miles | 106–212 ms |
| Stockholm, Sweden | 4,452 miles | 107–215 ms |
| Milan, Italy | 4,542 miles | 110–219 ms |
| Bucharest, Romania | 5,284 miles | 128–255 ms |
| Tel Aviv, Israel | 6,190 miles | 149–299 ms |
| Asia-Pacific · 7 locations | ||
| Tokyo, Japan | 6,888 miles | 166–333 ms |
| Delhi NCR, India | 7,808 miles | 188–377 ms |
| Mumbai, India | 8,308 miles | 201–401 ms |
| Hong Kong, China | 8,341 miles | 201–403 ms |
| Kolkata, India | 8,381 miles | 202–405 ms |
| Sydney, Australia | 9,508 miles | 230–459 ms |
| Singapore | 9,892 miles | 239–478 ms |
Distances are from Charlotte. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.
Restaurant Chains in Charlotte
We work with businesses across Uptown, South End, NoDa, Ballantyne and Plaza Midwood. Charlotte is a booming finance and growth hub where polished, fast sites build trust.
The closest of our 24 data centres to Charlotte is Atlanta, about 226 miles away. Round-trip time is set by physical distance more than by anything else, so the nearest site is usually the right one.
Charlotte has a population of about 911,311, which is why the large build above is the one most likely to fit a Restaurant Chains business here — though the other two are a click away if it does not. Local time is America/New York, so routine maintenance and backups are scheduled against your overnight rather than ours.
Data stays in the jurisdiction you choose, which matters if you are working to state privacy laws such as the CCPA. Pricing is quoted in USD, and the figure is the same wherever the machine physically sits.
Network reach from Charlotte
Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.
| Data centre | Distance from Charlotte | Estimated round trip |
|---|---|---|
| Atlantaamericas | 226 miles | 5–11 ms |
| New Yorkamericas | 531 miles | 13–26 ms |
| Torontoamericas | 587 miles | 14–28 ms |
Charlotte sits in North Carolina, and every one of our 24 locations costs the same — so the only thing worth optimising is which of them your users are closest to. At the large size assumed above, that is roughly 1,166,667 requests a day crossing that link.
Restaurant Chains hosting in Charlotte — FAQs
What size server does a Restaurant Chains business in Charlotte, NC need?
Where would the server for my Charlotte, NC business actually run?
Is a VPS enough for Restaurant Chains, or do we need a dedicated server?
Can you host central menu & pricing for us?
Can we start smaller and grow?
Other industries in Charlotte
Same city, different workload.
Restaurant Chains hosting nearby
The same workload, in the nearest cities.