Richmond, New Zealand
Server infrastructure for Coffee Shops in Richmond
Most Coffee Shops outgrow their first server in one specific place — and it is rarely the one the plan name suggests. For a small Coffee Shops business in Richmond that is about Single Core, 4 GB of memory and 40 GB of storage on Shared Hosting.
- ✓ 5 infrastructure tiers
- ✓ Sized for your workload, not a plan name
- ✓ Same price in all 24 locations
Estimated from fibre distance, not measured from Richmond. 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 Coffee Shops Most likely here
1–10 people · ~5,000 visits a month
On request
Shared Hosting
- Single Core
- 4 GB RAM
- 40 GB storage
About 1.1 requests a second at peak, holding roughly 1.1 GB of working data.
Configure this build →Medium Coffee Shops
11–50 people · ~50,000 visits a month
$81.20 USD USD
per month · VPS
- Single Core
- 6 GB RAM
- 80 GB storage
- Managed
About 10.8 requests a second at peak, holding roughly 3 GB of working data.
Configure this build →Large Coffee Shops
51+ people · ~500,000 visits a month
$323.05 USD USD
per month · VDS
- 6 Cores
- 24 GB RAM
- 200 GB storage
- Managed
About 108.0 requests a second at peak, holding roughly 12 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 Coffee Shops size up this way
Working from about 5,000 visits a month and roughly 11,667 requests a day, peaks run about 8× the average hour, so the build is sized for the busiest moment rather than the typical one.
- 1.1 req/sec at peak
- 1.1 GB working set
- 1 GB/month growth
- Linux
Which tiers suit Coffee Shops
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. |
Coffee Shops workloads you can host
Mobile order-ahead moves the queue into the app, which means the spike hits the server instead of the counter.
- Mobile order & pay
- Subscription cups
- Loyalty rewards
- Store locator
- Bean & retail sales
Where your server runs
All 24 locations cost the same, so pick whichever sits closest to the people who will actually use the server.
Richmond is closest to Sydney. Every marker costs the same per month.
Show all 24 locations and distances from Richmond ▾
| Location | Distance | Est. round trip |
|---|---|---|
| Asia-Pacific · 7 locations | ||
| Sydney, Australia | 1,304 miles | 31–63 ms |
| Singapore | 5,222 miles | 126–252 ms |
| Tokyo, Japan | 5,729 miles | 138–277 ms |
| Hong Kong, China | 5,795 miles | 140–280 ms |
| Kolkata, India | 6,979 miles | 168–337 ms |
| Mumbai, India | 7,604 miles | 184–367 ms |
| Delhi NCR, India | 7,770 miles | 188–375 ms |
| Americas · 9 locations | ||
| Los Angeles, United States | 6,785 miles | 164–328 ms |
| Santa Clara, United States | 6,803 miles | 164–328 ms |
| Seattle, United States | 7,299 miles | 176–352 ms |
| Dallas, United States | 7,667 miles | 185–370 ms |
| Miami, United States | 8,203 miles | 198–396 ms |
| Atlanta, United States | 8,297 miles | 200–401 ms |
| Chicago, United States | 8,430 miles | 204–407 ms |
| Toronto, Canada | 8,859 miles | 214–428 ms |
| New York, United States | 9,027 miles | 218–436 ms |
| Europe, Middle East & Africa · 8 locations | ||
| Tel Aviv, Israel | 10,070 miles | 243–486 ms |
| Bucharest, Romania | 10,768 miles | 260–520 ms |
| Stockholm, Sweden | 10,798 miles | 261–521 ms |
| Frankfurt, Germany | 11,477 miles | 277–554 ms |
| Amsterdam, The Netherlands | 11,497 miles | 278–555 ms |
| Milan, Italy | 11,586 miles | 280–559 ms |
| London, United Kingdom | 11,666 miles | 282–563 ms |
| Madrid, Spain | 12,262 miles | 296–592 ms |
Distances are from Richmond. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.
Coffee Shops in Richmond
The closest of our 24 data centres to Richmond is Sydney, about 1,304 miles away. Every kilometre between your users and the server is latency you cannot optimise away in software.
Richmond has a population of about 19,950, which is why the small build above is the one most likely to fit a Coffee Shops 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 Richmond
Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.
| Data centre | Distance from Richmond | Estimated round trip |
|---|---|---|
| Sydneyapac | 1,304 miles | 31–63 ms |
| Singaporeapac | 5,222 miles | 126–252 ms |
| Tokyoapac | 5,729 miles | 138–277 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 small size assumed above, that is roughly 11,667 requests a day crossing that link.
Coffee Shops hosting in Richmond — FAQs
What size server does a Coffee Shops business in Richmond, Tasman District need?
Where would the server for my Richmond, Tasman District business actually run?
Is a VPS enough for Coffee Shops, or do we need a dedicated server?
Can you host mobile order & pay for us?
Can we start smaller and grow?
Other industries in Richmond
Same city, different workload.
Coffee Shops hosting nearby
The same workload, in the nearest cities.