Berkley, United States
Server infrastructure for Cafés in Berkley
What Cafés actually need from a server is predictable performance under load, and enough headroom to grow into. For a small Cafés business in Berkley 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 Berkley. 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 Most likely here
1–10 people · ~5,000 visits a month
On request
Shared Hosting
- Single Core
- 4 GB RAM
- 40 GB storage
About 1.0 requests a second at peak, holding roughly 0.7 GB of working data.
Configure this build →Medium Cafés
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 5,000 visits a month and roughly 11,667 requests a day, peaks run about 7× the average hour, so the build is sized for the busiest moment rather than the typical one.
- 1.0 req/sec at peak
- 0.7 GB working set
- 1 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.
Berkley is closest to Toronto. Every marker costs the same per month.
Show all 24 locations and distances from Berkley ▾
| Location | Distance | Est. round trip |
|---|---|---|
| Americas · 9 locations | ||
| Toronto, Canada | 208 miles | 5–10 ms |
| Chicago, United States | 232 miles | 6–11 ms |
| New York, United States | 490 miles | 12–24 ms |
| Atlanta, United States | 608 miles | 15–29 ms |
| Dallas, United States | 1,001 miles | 24–48 ms |
| Miami, United States | 1,169 miles | 28–56 ms |
| Seattle, United States | 1,922 miles | 46–93 ms |
| Los Angeles, United States | 1,973 miles | 48–95 ms |
| Santa Clara, United States | 2,066 miles | 50–100 ms |
| Europe, Middle East & Africa · 8 locations | ||
| London, United Kingdom | 3,748 miles | 90–181 ms |
| Amsterdam, The Netherlands | 3,913 miles | 94–189 ms |
| Madrid, Spain | 3,958 miles | 96–191 ms |
| Stockholm, Sweden | 4,110 miles | 99–198 ms |
| Frankfurt, Germany | 4,132 miles | 100–199 ms |
| Milan, Italy | 4,325 miles | 104–209 ms |
| Bucharest, Romania | 5,016 miles | 121–242 ms |
| Tel Aviv, Israel | 5,957 miles | 144–288 ms |
| Asia-Pacific · 7 locations | ||
| Tokyo, Japan | 6,397 miles | 154–309 ms |
| Delhi NCR, India | 7,375 miles | 178–356 ms |
| Hong Kong, China | 7,823 miles | 189–378 ms |
| Kolkata, India | 7,908 miles | 191–382 ms |
| Mumbai, India | 7,917 miles | 191–382 ms |
| Singapore | 9,375 miles | 226–453 ms |
| Sydney, Australia | 9,475 miles | 229–457 ms |
Distances are from Berkley. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.
Cafés in Berkley
The closest of our 24 data centres to Berkley is Toronto, about 208 miles away. Choosing the closest data centre is the cheapest performance improvement available, and it costs nothing extra.
Berkley has a population of about 15,268, which is why the small 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 Berkley
Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.
| Data centre | Distance from Berkley | Estimated round trip |
|---|---|---|
| Torontoamericas | 208 miles | 5–10 ms |
| Chicagoamericas | 232 miles | 6–11 ms |
| New Yorkamericas | 490 miles | 12–24 ms |
Berkley 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 small size assumed above, that is roughly 11,667 requests a day crossing that link.
Cafés hosting in Berkley — FAQs
What size server does a Cafés business in Berkley, MI need?
Where would the server for my Berkley, 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 Berkley
Same city, different workload.
Cafés hosting nearby
The same workload, in the nearest cities.