Reading, United Kingdom
Server infrastructure for Restaurants & Food Businesses in Reading
Sizing infrastructure for Restaurants & Food Businesses starts with the workload, then works back to cores, memory and disk. For a large Restaurants & Food business in Reading 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 Reading. 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 & Food
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 Restaurants & Food
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 Restaurants & Food 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 Restaurants & Food 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. |
Restaurants & Food Businesses workloads you can host
- Restaurant website
- Online ordering
- Table reservations
- POS integration
- Delivery management
- Loyalty & CRM
- Inventory
Restaurants & Food in Reading, 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 |
|---|---|---|---|
| Restaurants | 4 vCPU · 24 GB · 250 GB | VDS | Two sharp peaks a day and almost nothing between them — capacity is sized for the dinner rush, not the afterno... |
| Cafés | 4 vCPU · 16 GB · 200 GB | VPS | The morning rush is short, concentrated and unforgiving of a slow order screen. |
| Coffee Shops | 6 vCPU · 24 GB · 200 GB | VDS | Mobile order-ahead moves the queue into the app, which means the spike hits the server instead of the counter. |
| Fast Food | 8 vCPU · 32 GB · 250 GB | VDS | Kitchen display screens want sub-second updates: an order that appears late is food cooked late. |
| Food Delivery | 12 vCPU · 96 GB · 400 GB | Dedicated Server | Live tracking means a persistent connection per active order, which is a very different load from serving page... |
| Catering Companies | 2 vCPU · 24 GB · 250 GB | VDS | Few, large, planned jobs: the system is a quoting and costing tool rather than a live order pipe. |
| Bakeries | 4 vCPU · 16 GB · 200 GB | VPS | Production is planned the night before against orders taken the day before — the deadline is the oven, not the... |
| Cloud Kitchens | 6 vCPU · 48 GB · 300 GB | VDS | Several brands out of one kitchen means several order streams competing for the same physical capacity. |
| Bars & Pubs | 4 vCPU · 24 GB · 250 GB | VDS | Weekend evenings and event nights carry almost all the load, and a big fixture rewrites the week. |
| Restaurant Chains | 16 vCPU · 196 GB · 600 GB | Dedicated Server | A menu change has to reach every site consistently, and every site reports back — the centre carries both dire... |
| Food Manufacturing | 16 vCPU · 196 GB · 1500 GB | Dedicated Server | Traceability is a legal obligation: every batch has to be followed from ingredient to pallet, and kept. |
Where your server runs
All 24 locations cost the same, so pick whichever sits closest to the people who will actually use the server.
Reading is closest to London. Every marker costs the same per month.
Show all 24 locations and distances from Reading ▾
| Location | Distance | Est. round trip |
|---|---|---|
| Europe, Middle East & Africa · 8 locations | ||
| London, United Kingdom | 36 miles | 1–2 ms |
| Amsterdam, The Netherlands | 258 miles | 6–12 ms |
| Frankfurt, Germany | 431 miles | 10–21 ms |
| Milan, Italy | 622 miles | 15–30 ms |
| Madrid, Spain | 774 miles | 19–37 ms |
| Stockholm, Sweden | 919 miles | 22–44 ms |
| Bucharest, Romania | 1,334 miles | 32–64 ms |
| Tel Aviv, Israel | 2,242 miles | 54–108 ms |
| Americas · 9 locations | ||
| New York, United States | 3,428 miles | 83–165 ms |
| Toronto, Canada | 3,518 miles | 85–170 ms |
| Chicago, United States | 3,917 miles | 95–189 ms |
| Atlanta, United States | 4,173 miles | 101–201 ms |
| Miami, United States | 4,393 miles | 106–212 ms |
| Dallas, United States | 4,717 miles | 114–228 ms |
| Seattle, United States | 4,765 miles | 115–230 ms |
| Santa Clara, United States | 5,342 miles | 129–258 ms |
| Los Angeles, United States | 5,416 miles | 131–261 ms |
| Asia-Pacific · 7 locations | ||
| Delhi NCR, India | 4,218 miles | 102–204 ms |
| Mumbai, India | 4,505 miles | 109–218 ms |
| Kolkata, India | 4,984 miles | 120–241 ms |
| Tokyo, Japan | 5,961 miles | 144–288 ms |
| Hong Kong, China | 6,012 miles | 145–290 ms |
| Singapore | 6,777 miles | 164–327 ms |
| Sydney, Australia | 10,593 miles | 256–511 ms |
Distances are from Reading. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.
Restaurants & Food Businesses in Reading
The closest of our 24 data centres to Reading is London, about 36 miles away. Choosing the closest data centre is the cheapest performance improvement available, and it costs nothing extra.
Reading has a population of about 318,014, which is why the large build above is the one most likely to fit a Restaurants & Food business here — though the other two are a click away if it does not. Local time is Europe/London, 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 UK GDPR and the Data Protection Act 2018. Pricing is quoted in GBP, and the figure is the same wherever the machine physically sits.
Network reach from Reading
Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.
| Data centre | Distance from Reading | Estimated round trip |
|---|---|---|
| Londonemea | 36 miles | 1–2 ms |
| Amsterdamemea | 258 miles | 6–12 ms |
| Frankfurtemea | 431 miles | 10–21 ms |
Reading sits in England, 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 & Food Businesses hosting in Reading — FAQs
What size server does a Restaurants & Food business in Reading, England need?
Where would the server for my Reading, England business actually run?
Is a VPS enough for Restaurants & Food Businesses, or do we need a dedicated server?
Can you host restaurant website for us?
Can we start smaller and grow?
Other industries in Reading
Same city, different workload.
Restaurants & Food Businesses hosting nearby
The same workload, in the nearest cities.