Ann Arbor, United States
Server infrastructure for Cafés in Ann Arbor
Most Cafés outgrow their first server in one specific place — and it is rarely the one the plan name suggests. For a medium Cafés business in Ann Arbor that is about Single Core, 6 GB of memory and 80 GB of storage on VPS.
- ✓ 5 infrastructure tiers
- ✓ Sized for your workload, not a plan name
- ✓ Same price in all 24 locations
Estimated from fibre distance, not measured from Ann Arbor. 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 Cafés
1–10 people · ~5,000 visits a month
On request
Shared Hosting
- Single Core
- 4 GB RAM
- 40 GB storage
About 1.0 requests a second at peak, holding roughly 0.7 GB of working data.
Configure this build →Medium Cafés Most likely here
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 9.5 requests a second at peak, holding roughly 2 GB of working data.
Configure this build →Large Cafés
51+ people · ~500,000 visits a month
$220.25 USD USD
per month · VPS
- 4 Cores
- 16 GB RAM
- 200 GB storage
- Managed
About 94.5 requests a second at peak, holding roughly 8 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 Cafés size up this way
Working from about 50,000 visits a month and roughly 116,667 requests a day, peaks run about 7× the average hour, so the build is sized for the busiest moment rather than the typical one.
- 9.5 req/sec at peak
- 2 GB working set
- 3 GB/month growth
- Linux
Which tiers suit Cafés
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. |
Cafés workloads you can host
The morning rush is short, concentrated and unforgiving of a slow order screen.
- Order-ahead
- Loyalty stamps
- Menu & allergen info
- Table service
- Opening hours
Where your server runs
All 24 locations cost the same, so pick whichever sits closest to the people who will actually use the server.
Ann Arbor is closest to Chicago. Every marker costs the same per month.
Show all 24 locations and distances from Ann Arbor ▾
| Location | Distance | Est. round trip |
|---|---|---|
| Americas · 9 locations | ||
| Chicago, United States | 201 miles | 5–10 ms |
| Toronto, Canada | 240 miles | 6–12 ms |
| New York, United States | 515 miles | 12–25 ms |
| Atlanta, United States | 590 miles | 14–29 ms |
| Dallas, United States | 969 miles | 23–47 ms |
| Miami, United States | 1,159 miles | 28–56 ms |
| Seattle, United States | 1,902 miles | 46–92 ms |
| Los Angeles, United States | 1,944 miles | 47–94 ms |
| Santa Clara, United States | 2,039 miles | 49–98 ms |
| Europe, Middle East & Africa · 8 locations | ||
| London, United Kingdom | 3,780 miles | 91–182 ms |
| Amsterdam, The Netherlands | 3,944 miles | 95–190 ms |
| Madrid, Spain | 3,990 miles | 96–193 ms |
| Stockholm, Sweden | 4,139 miles | 100–200 ms |
| Frankfurt, Germany | 4,163 miles | 101–201 ms |
| Milan, Italy | 4,357 miles | 105–210 ms |
| Bucharest, Romania | 5,047 miles | 122–244 ms |
| Tel Aviv, Israel | 5,989 miles | 145–289 ms |
| Asia-Pacific · 7 locations | ||
| Tokyo, Japan | 6,394 miles | 154–309 ms |
| Delhi NCR, India | 7,399 miles | 179–357 ms |
| Hong Kong, China | 7,829 miles | 189–378 ms |
| Kolkata, India | 7,928 miles | 191–383 ms |
| Mumbai, India | 7,943 miles | 192–383 ms |
| Singapore | 9,386 miles | 227–453 ms |
| Sydney, Australia | 9,445 miles | 228–456 ms |
Distances are from Ann Arbor. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.
Cafés in Ann Arbor
The closest of our 24 data centres to Ann Arbor is Chicago, about 201 miles away. Every kilometre between your users and the server is latency you cannot optimise away in software.
Ann Arbor has a population of about 117,070, which is why the medium build above is the one most likely to fit a Cafés business here — though the other two are a click away if it does not. Local time is America/Detroit, 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 Ann Arbor
Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.
| Data centre | Distance from Ann Arbor | Estimated round trip |
|---|---|---|
| Chicagoamericas | 201 miles | 5–10 ms |
| Torontoamericas | 240 miles | 6–12 ms |
| New Yorkamericas | 515 miles | 12–25 ms |
Ann Arbor sits in Michigan, 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 medium size assumed above, that is roughly 116,667 requests a day crossing that link.
Cafés hosting in Ann Arbor — FAQs
What size server does a Cafés business in Ann Arbor, MI need?
Where would the server for my Ann Arbor, MI business actually run?
Is a VPS enough for Cafés, or do we need a dedicated server?
Can you host order-ahead for us?
Can we start smaller and grow?
Other industries in Ann Arbor
Same city, different workload.
Cafés hosting nearby
The same workload, in the nearest cities.