Melbourne, United States
Server infrastructure for Bed & Breakfasts in Melbourne
Most Bed & Breakfasts outgrow their first server in one specific place — and it is rarely the one the plan name suggests. For a medium Bed & Breakfasts business in Melbourne that is about Single Core, 4 GB of memory and 60 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 Melbourne. 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 Most likely here
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
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.
Melbourne is closest to Miami. Every marker costs the same per month.
Show all 24 locations and distances from Melbourne ▾
| Location | Distance | Est. round trip |
|---|---|---|
| Americas · 9 locations | ||
| Miami, United States | 162 miles | 4–8 ms |
| Atlanta, United States | 451 miles | 11–22 ms |
| New York, United States | 950 miles | 23–46 ms |
| Dallas, United States | 1,016 miles | 25–49 ms |
| Chicago, United States | 1,032 miles | 25–50 ms |
| Toronto, Canada | 1,078 miles | 26–52 ms |
| Los Angeles, United States | 2,252 miles | 54–109 ms |
| Santa Clara, United States | 2,466 miles | 60–119 ms |
| Seattle, United States | 2,602 miles | 63–126 ms |
| Europe, Middle East & Africa · 8 locations | ||
| London, United Kingdom | 4,329 miles | 105–209 ms |
| Madrid, Spain | 4,338 miles | 105–209 ms |
| Amsterdam, The Netherlands | 4,524 miles | 109–218 ms |
| Frankfurt, Germany | 4,726 miles | 114–228 ms |
| Milan, Italy | 4,855 miles | 117–234 ms |
| Stockholm, Sweden | 4,858 miles | 117–235 ms |
| Bucharest, Romania | 5,629 miles | 136–272 ms |
| Tel Aviv, Israel | 6,498 miles | 157–314 ms |
| Asia-Pacific · 7 locations | ||
| Tokyo, Japan | 7,310 miles | 176–353 ms |
| Delhi NCR, India | 8,263 miles | 199–399 ms |
| Mumbai, India | 8,728 miles | 211–421 ms |
| Hong Kong, China | 8,818 miles | 213–426 ms |
| Kolkata, India | 8,860 miles | 214–428 ms |
| Sydney, Australia | 9,373 miles | 226–453 ms |
| Singapore | 10,382 miles | 251–501 ms |
Distances are from Melbourne. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.
Bed & Breakfasts in Melbourne
The closest of our 24 data centres to Melbourne is Miami, about 162 miles away. Every kilometre between your users and the server is latency you cannot optimise away in software.
Melbourne has a population of about 84,678, which is why the medium 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 America/New York, 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 Melbourne
Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.
| Data centre | Distance from Melbourne | Estimated round trip |
|---|---|---|
| Miamiamericas | 162 miles | 4–8 ms |
| Atlantaamericas | 451 miles | 11–22 ms |
| New Yorkamericas | 950 miles | 23–46 ms |
Melbourne sits in Florida, 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 93,333 requests a day crossing that link.
Bed & Breakfasts hosting in Melbourne — FAQs
What size server does a Bed & Breakfasts business in Melbourne, FL need?
Where would the server for my Melbourne, FL 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 Melbourne
Same city, different workload.
Bed & Breakfasts hosting nearby
The same workload, in the nearest cities.