Sydney, Australia
Server infrastructure for Restaurants in Sydney
Sizing infrastructure for Restaurants starts with the workload, then works back to cores, memory and disk. For a large Restaurants business in Sydney 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 Sydney. 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 Restaurants
1–10 people · ~5,000 visits a month
On request
Shared Hosting
- Single Core
- 4 GB RAM
- 40 GB storage
About 0.8 requests a second at peak, holding roughly 1.4 GB of working data.
Configure this build →Medium Restaurants
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 8.1 requests a second at peak, holding roughly 4 GB of working data.
Configure this build →Large Restaurants 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 81.0 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.
Why Restaurants size up this way
Working from about 500,000 visits a month and roughly 1,166,667 requests a day, peaks run about 6× the average hour, so the build is sized for the busiest moment rather than the typical one.
- 81.0 req/sec at peak
- 16 GB working set
- 12 GB/month growth
- Linux
Which tiers suit Restaurants
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. |
Restaurants workloads you can host
Two sharp peaks a day and almost nothing between them — capacity is sized for the dinner rush, not the afternoon.
- Table reservations
- Online ordering
- Menu management
- POS integration
- Loyalty & CRM
Where your server runs
All 24 locations cost the same, so pick whichever sits closest to the people who will actually use the server.
Sydney has a data centre of its own. Every marker costs the same per month.
Show all 24 locations and distances from Sydney ▾
| Location | Distance | Est. round trip |
|---|---|---|
| Asia-Pacific · 7 locations | ||
| Sydney, Australia | Same city | 1–2 ms |
| Singapore | 3,918 miles | 95–189 ms |
| Hong Kong, China | 4,583 miles | 111–221 ms |
| Tokyo, Japan | 4,863 miles | 117–235 ms |
| Kolkata, India | 5,678 miles | 137–274 ms |
| Mumbai, India | 6,311 miles | 152–305 ms |
| Delhi NCR, India | 6,468 miles | 156–312 ms |
| Americas · 9 locations | ||
| Santa Clara, United States | 7,432 miles | 179–359 ms |
| Los Angeles, United States | 7,502 miles | 181–362 ms |
| Seattle, United States | 7,749 miles | 187–374 ms |
| Dallas, United States | 8,587 miles | 207–415 ms |
| Chicago, United States | 9,244 miles | 223–446 ms |
| Atlanta, United States | 9,286 miles | 224–448 ms |
| Miami, United States | 9,337 miles | 225–451 ms |
| Toronto, Canada | 9,673 miles | 234–467 ms |
| New York, United States | 9,935 miles | 240–480 ms |
| Europe, Middle East & Africa · 8 locations | ||
| Tel Aviv, Israel | 8,811 miles | 213–425 ms |
| Bucharest, Romania | 9,464 miles | 228–457 ms |
| Stockholm, Sweden | 9,691 miles | 234–468 ms |
| Frankfurt, Germany | 10,242 miles | 247–494 ms |
| Milan, Italy | 10,288 miles | 248–497 ms |
| Amsterdam, The Netherlands | 10,341 miles | 250–499 ms |
| London, United Kingdom | 10,559 miles | 255–510 ms |
| Madrid, Spain | 10,989 miles | 265–531 ms |
Distances are from Sydney. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.
Restaurants in Sydney
We work with businesses across the CBD, Parramatta, Bondi, North Sydney and Chatswood. Sydney is Australia’s most competitive market, where “near me” searches and fast load times matter most.
The closest of our 24 data centres to Sydney is Sydney, about under a mile away. Choosing the closest data centre is the cheapest performance improvement available, and it costs nothing extra.
Sydney has a population of about 5,638,830, which is why the large build above is the one most likely to fit a Restaurants business here — though the other two are a click away if it does not. Local time is Australia/Sydney, 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 Privacy Act 1988. Pricing is quoted in AUD, and the figure is the same wherever the machine physically sits.
Network reach from Sydney
Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.
| Data centre | Distance from Sydney | Estimated round trip |
|---|---|---|
| Sydneyapac | In your metro | 1–2 ms |
| Singaporeapac | 3,918 miles | 95–189 ms |
| Hong Kongapac | 4,583 miles | 111–221 ms |
Sydney sits in New South Wales, 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 large size assumed above, that is roughly 1,166,667 requests a day crossing that link.
Restaurants hosting in Sydney — FAQs
What size server does a Restaurants business in Sydney, NSW need?
Where would the server for my Sydney, NSW business actually run?
Is a VPS enough for Restaurants, or do we need a dedicated server?
Can you host table reservations for us?
Can we start smaller and grow?
Other industries in Sydney
Same city, different workload.
Restaurants hosting nearby
The same workload, in the nearest cities.