Raffles Place, Singapore
Server infrastructure for Hotels & Hospitality Businesses in Raffles Place
The right server for Hotels & Hospitality Businesses is decided by the work it has to do, not by the size of the plan you happen to land on. For a large Hospitality & Hotels business in Raffles Place that is about 4 Cores, 24 GB of memory and 250 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 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 Hospitality & Hotels
1–10 people · ~5,000 visits a month
On request
Shared Hosting
- Single Core
- 4 GB RAM
- 40 GB storage
About 0.5 requests a second at peak, holding roughly 1.4 GB of working data.
Configure this build →Medium Hospitality & Hotels
11–50 people · ~50,000 visits a month
$97.40 USD USD
per month · VPS
- Single Core
- 8 GB RAM
- 80 GB storage
- Managed
About 5.4 requests a second at peak, holding roughly 4 GB of working data.
Configure this build →Large Hospitality & Hotels Most likely here
51+ people · ~500,000 visits a month
$296.05 USD USD
per month · VDS
- 4 Cores
- 24 GB RAM
- 250 GB storage
- Managed
About 54.0 requests a second at peak, holding roughly 16 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 Hotels & Hospitality Businesses
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. |
Hotels & Hospitality Businesses workloads you can host
- Hotel website
- Booking engine
- Property management system
- Reservation database
- Guest portal
- Channel manager
- Revenue management
Hospitality & Hotels in Raffles Place, business by business
These are not the same workload. Sized at the large band, here is what each one actually needs.
| Business | Build | Tier | What decides it |
|---|---|---|---|
| Hotels | 4 vCPU · 24 GB · 250 GB | VDS | The PMS is the system of record and the channel manager talks to it constantly — a stale rate pushed to an OTA... |
| Resorts | 4 vCPU · 48 GB · 1500 GB | VDS | A resort sells a stay plus everything inside it, so the booking system carries far more than rooms. |
| Motels | 2 vCPU · 12 GB · 200 GB | VPS | Short stays booked at short notice: high turnover of small records rather than a large database. |
| Boutique Hotels | 4 vCPU · 24 GB · 250 GB | VDS | The whole point is winning the direct booking rather than paying commission, so the site itself is the revenue... |
| Hostels | 4 vCPU · 24 GB · 200 GB | VDS | Inventory is a bed rather than a room, which multiplies the rows and makes availability a harder question to a... |
| Bed & Breakfasts | 2 vCPU · 8 GB · 200 GB | VPS | A handful of rooms and a personal calendar — the smallest infrastructure in hospitality. |
| Vacation Rentals | 4 vCPU · 48 GB · 300 GB | VDS | Every property is its own calendar and every channel wants to be authoritative — reconciliation is the workloa... |
| Serviced Apartments | 2 vCPU · 32 GB · 250 GB | VDS | Stays are measured in months, so this looks more like tenancy management than nightly booking. |
| Campgrounds | 6 vCPU · 24 GB · 200 GB | VDS | Severely seasonal: a year's bookings can arrive in the fortnight the summer calendar opens. |
| RV Parks | 4 vCPU · 24 GB · 200 GB | VDS | Availability depends on whether the rig physically fits the pitch, so the booking rules are geometry as well a... |
| Hotel Management Companies | 8 vCPU · 128 GB · 500 GB | Dedicated Server | Running many properties turns reporting into the heavy query — every figure is an aggregate across the estate. |
| Property Management Systems | 16 vCPU · 196 GB · 1000 GB | Dedicated Server | The night audit is a hard nightly deadline that touches every open folio at once. |
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.
Hotels & Hospitality Businesses in Raffles Place
The closest of our 24 data centres to Raffles Place is Singapore, about 5 miles away. The price is the same in all 24 locations, so distance is the only variable worth optimising.
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 Hospitality & Hotels 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 1,166,667 requests a day crossing that link.
Hotels & Hospitality Businesses hosting in Raffles Place — FAQs
What size server does a Hospitality & Hotels business in Raffles Place, Singapore need?
Where would the server for my Raffles Place, Singapore business actually run?
Is a VPS enough for Hotels & Hospitality Businesses, or do we need a dedicated server?
Can you host hotel website for us?
Can we start smaller and grow?
Other industries in Raffles Place
Same city, different workload.
Hotels & Hospitality Businesses hosting nearby
The same workload, in the nearest cities.