Upper Hutt, New Zealand
Server infrastructure for Restaurant Chains in Upper Hutt
Most Restaurant Chains outgrow their first server in one specific place — and it is rarely the one the plan name suggests. For a medium Restaurant Chains business in Upper Hutt that is about 4 Cores, 48 GB of memory and 200 GB of storage on VDS.
- ✓ 5 infrastructure tiers
- ✓ Sized for your workload, not a plan name
- ✓ Same price in all 24 locations
Estimated from fibre distance, not measured from Upper Hutt. 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 Most likely here
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
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 50,000 visits a month and roughly 116,667 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 32 GB of data needs to stay in memory to keep queries fast.
- 6.8 req/sec at peak
- 32 GB working set
- 3 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.
Upper Hutt is closest to Sydney. Every marker costs the same per month.
Show all 24 locations and distances from Upper Hutt ▾
| Location | Distance | Est. round trip |
|---|---|---|
| Asia-Pacific · 7 locations | ||
| Sydney, Australia | 1,394 miles | 34–67 ms |
| Singapore | 5,313 miles | 128–257 ms |
| Tokyo, Japan | 5,762 miles | 139–278 ms |
| Hong Kong, China | 5,865 miles | 142–283 ms |
| Kolkata, India | 7,065 miles | 171–341 ms |
| Mumbai, India | 7,698 miles | 186–372 ms |
| Delhi NCR, India | 7,858 miles | 190–379 ms |
| Americas · 9 locations | ||
| Los Angeles, United States | 6,701 miles | 162–324 ms |
| Santa Clara, United States | 6,724 miles | 162–325 ms |
| Seattle, United States | 7,228 miles | 174–349 ms |
| Dallas, United States | 7,574 miles | 183–366 ms |
| Miami, United States | 8,105 miles | 196–391 ms |
| Atlanta, United States | 8,202 miles | 198–396 ms |
| Chicago, United States | 8,340 miles | 201–403 ms |
| Toronto, Canada | 8,768 miles | 212–423 ms |
| New York, United States | 8,933 miles | 216–431 ms |
| Europe, Middle East & Africa · 8 locations | ||
| Tel Aviv, Israel | 10,168 miles | 245–491 ms |
| Stockholm, Sweden | 10,837 miles | 262–523 ms |
| Bucharest, Romania | 10,856 miles | 262–524 ms |
| Amsterdam, The Netherlands | 11,533 miles | 278–557 ms |
| Frankfurt, Germany | 11,535 miles | 278–557 ms |
| Milan, Italy | 11,667 miles | 282–563 ms |
| London, United Kingdom | 11,685 miles | 282–564 ms |
| Madrid, Spain | 12,355 miles | 298–596 ms |
Distances are from Upper Hutt. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.
Restaurant Chains in Upper Hutt
The closest of our 24 data centres to Upper Hutt is Sydney, about 1,394 miles away. Every kilometre between your users and the server is latency you cannot optimise away in software.
Upper Hutt has a population of about 47,400, which is why the medium 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 Pacific/Auckland, 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 the Privacy Act 2020. Pricing is quoted in NZD, and the figure is the same wherever the machine physically sits.
Network reach from Upper Hutt
Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.
| Data centre | Distance from Upper Hutt | Estimated round trip |
|---|---|---|
| Sydneyapac | 1,394 miles | 34–67 ms |
| Singaporeapac | 5,313 miles | 128–257 ms |
| Tokyoapac | 5,762 miles | 139–278 ms |
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 medium size assumed above, that is roughly 116,667 requests a day crossing that link.
Restaurant Chains hosting in Upper Hutt — FAQs
What size server does a Restaurant Chains business in Upper Hutt, Wellington need?
Where would the server for my Upper Hutt, Wellington 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 Upper Hutt
Same city, different workload.
Restaurant Chains hosting nearby
The same workload, in the nearest cities.