Raffles Place, Singapore
Server infrastructure for Bed & Breakfasts in Raffles Place
The right server for Bed & Breakfasts is decided by the work it has to do, not by the size of the plan you happen to land on. For a large Bed & Breakfasts business in Raffles Place that is about 2 Cores, 8 GB of memory and 200 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 Raffles Place. 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 Bed & Breakfasts
1–10 people · ~5,000 visits a month
On request
Shared Hosting
- Single Core
- 3 GB RAM
- 40 GB storage
About 0.4 requests a second at peak, holding roughly 0.4 GB of working data.
Configure this build →Medium Bed & Breakfasts
11–50 people · ~50,000 visits a month
On request
Shared Hosting
- Single Core
- 4 GB RAM
- 60 GB storage
- Managed
About 4.3 requests a second at peak, holding roughly 1 GB of working data.
Configure this build →Large Bed & Breakfasts Most likely here
51+ people · ~500,000 visits a month
$121.70 USD USD
per month · VPS
- 2 Cores
- 8 GB RAM
- 200 GB storage
- Managed
About 43.2 requests a second at peak, holding roughly 4 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.
Which tiers suit Bed & Breakfasts
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. |
Bed & Breakfasts workloads you can host
A handful of rooms and a personal calendar — the smallest infrastructure in hospitality.
- Small room inventory
- Enquiry & deposit
- Breakfast preferences
- Local guide content
- Owner calendar
Where your server runs
All 24 locations cost the same, so pick whichever sits closest to the people who will actually use the server.
Raffles Place has a data centre of its own. Every marker costs the same per month.
Show all 24 locations and distances from Raffles Place ▾
| Location | Distance | Est. round trip |
|---|---|---|
| Asia-Pacific · 7 locations | ||
| Singapore | Same city | 1–2 ms |
| Hong Kong, China | 1,610 miles | 39–78 ms |
| Kolkata, India | 1,801 miles | 43–87 ms |
| Mumbai, India | 2,430 miles | 59–117 ms |
| Delhi NCR, India | 2,567 miles | 62–124 ms |
| Tokyo, Japan | 3,302 miles | 80–159 ms |
| Sydney, Australia | 3,914 miles | 94–189 ms |
| Europe, Middle East & Africa · 8 locations | ||
| Tel Aviv, Israel | 4,952 miles | 120–239 ms |
| Bucharest, Romania | 5,553 miles | 134–268 ms |
| Stockholm, Sweden | 5,994 miles | 145–289 ms |
| Frankfurt, Germany | 6,379 miles | 154–308 ms |
| Milan, Italy | 6,381 miles | 154–308 ms |
| Amsterdam, The Netherlands | 6,524 miles | 157–315 ms |
| London, United Kingdom | 6,746 miles | 163–326 ms |
| Madrid, Spain | 7,076 miles | 171–342 ms |
| Americas · 9 locations | ||
| Seattle, United States | 8,067 miles | 195–389 ms |
| Santa Clara, United States | 8,478 miles | 205–409 ms |
| Los Angeles, United States | 8,776 miles | 212–424 ms |
| Toronto, Canada | 9,325 miles | 225–450 ms |
| Chicago, United States | 9,369 miles | 226–452 ms |
| New York, United States | 9,532 miles | 230–460 ms |
| Dallas, United States | 9,725 miles | 235–470 ms |
| Atlanta, United States | 9,958 miles | 240–481 ms |
| Miami, United States | 10,549 miles | 255–509 ms |
Distances are from Raffles Place. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.
Bed & Breakfasts in Raffles Place
The closest of our 24 data centres to Raffles Place is Singapore, about 5 miles away. Round-trip time is set by physical distance more than by anything else, so the nearest site is usually the right one.
Raffles Place has a population of about 5,638,700, which is why the large build above is the one most likely to fit a Bed & Breakfasts business here — though the other two are a click away if it does not. Local time is Asia/Singapore, 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 PDPA. Pricing is quoted in SGD, and the figure is the same wherever the machine physically sits.
Network reach from Raffles Place
Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.
| Data centre | Distance from Raffles Place | Estimated round trip |
|---|---|---|
| Singaporeapac | In your metro | 1–2 ms |
| Hong Kongapac | 1,610 miles | 39–78 ms |
| Kolkataapac | 1,801 miles | 43–87 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 large size assumed above, that is roughly 933,333 requests a day crossing that link.
Bed & Breakfasts hosting in Raffles Place — FAQs
What size server does a Bed & Breakfasts business in Raffles Place, Singapore need?
Where would the server for my Raffles Place, Singapore business actually run?
Is a VPS enough for Bed & Breakfasts, or do we need a dedicated server?
Can you host small room inventory for us?
Can we start smaller and grow?
Other industries in Raffles Place
Same city, different workload.
Bed & Breakfasts hosting nearby
The same workload, in the nearest cities.