San Jose, United States
Server infrastructure for Restaurant Chains in San Jose
The right server for Restaurant Chains is decided by the work it has to do, not by the size of the plan you happen to land on. For a large Restaurant Chains business in San Jose that is about 16 Cores, 196 GB of memory and 600 GB of storage on Dedicated Server.
- ✓ 5 infrastructure tiers
- ✓ Sized for your workload, not a plan name
- ✓ Same price in all 24 locations
Estimated from fibre distance, not measured from San Jose. 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 Restaurant Chains
1–10 people · ~5,000 visits a month
$162.20 USD USD
per month · VPS
- Single Core
- 16 GB RAM
- 80 GB storage
About 0.7 requests a second at peak, holding roughly 11.2 GB of working data.
Configure this build →Medium Restaurant Chains
11–50 people · ~50,000 visits a month
$425.65 USD USD
per month · VDS
- 4 Cores
- 48 GB RAM
- 200 GB storage
- Managed
About 6.8 requests a second at peak, holding roughly 32 GB of working data.
Configure this build →Large Restaurant Chains Most likely here
51+ people · ~500,000 visits a month
$1,681.15 USD USD
per month · Dedicated Server
- 16 Cores
- 196 GB RAM
- 600 GB storage
- Managed
About 67.5 requests a second at peak, holding roughly 128 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 Restaurant Chains size up this way
Working from about 500,000 visits a month and roughly 1,166,667 requests a day, peaks run about 5× the average hour, so the build is sized for the busiest moment rather than the typical one; and about 128 GB of data needs to stay in memory to keep queries fast.
- 67.5 req/sec at peak
- 128 GB working set
- 12 GB/month growth
- Linux
Which tiers suit Restaurant Chains
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. |
Restaurant Chains workloads you can host
A menu change has to reach every site consistently, and every site reports back — the centre carries both directions.
- Central menu & pricing
- Per-site POS sync
- Franchise reporting
- Group loyalty
- Supply ordering
Where your server runs
All 24 locations cost the same, so pick whichever sits closest to the people who will actually use the server.
San Jose has a data centre of its own. Every marker costs the same per month.
Show all 24 locations and distances from San Jose ▾
| Location | Distance | Est. round trip |
|---|---|---|
| Americas · 9 locations | ||
| Santa Clara, United States | Same city | 1–2 ms |
| Los Angeles, United States | 306 miles | 7–15 ms |
| Seattle, United States | 710 miles | 17–34 ms |
| Dallas, United States | 1,449 miles | 35–70 ms |
| Chicago, United States | 1,838 miles | 44–89 ms |
| Atlanta, United States | 2,109 miles | 51–102 ms |
| Toronto, Canada | 2,250 miles | 54–109 ms |
| New York, United States | 2,549 miles | 62–123 ms |
| Miami, United States | 2,559 miles | 62–124 ms |
| Asia-Pacific · 7 locations | ||
| Tokyo, Japan | 5,182 miles | 125–250 ms |
| Hong Kong, China | 6,936 miles | 167–335 ms |
| Sydney, Australia | 7,434 miles | 179–359 ms |
| Delhi NCR, India | 7,717 miles | 186–373 ms |
| Kolkata, India | 7,853 miles | 190–379 ms |
| Mumbai, India | 8,422 miles | 203–407 ms |
| Singapore | 8,480 miles | 205–409 ms |
| Europe, Middle East & Africa · 8 locations | ||
| London, United Kingdom | 5,364 miles | 129–259 ms |
| Stockholm, Sweden | 5,376 miles | 130–260 ms |
| Amsterdam, The Netherlands | 5,463 miles | 132–264 ms |
| Frankfurt, Germany | 5,687 miles | 137–275 ms |
| Madrid, Spain | 5,793 miles | 140–280 ms |
| Milan, Italy | 5,957 miles | 144–288 ms |
| Bucharest, Romania | 6,444 miles | 156–311 ms |
| Tel Aviv, Israel | 7,410 miles | 179–358 ms |
Distances are from San Jose. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.
Restaurant Chains in San Jose
We work with businesses across Downtown, Santana Row, Willow Glen, North San Jose and Almaden. San Jose sits in the heart of Silicon Valley, where sites are held to a high technical bar.
The closest of our 24 data centres to San Jose is Santa Clara, about 3 miles away. Every kilometre between your users and the server is latency you cannot optimise away in software.
San Jose has a population of about 997,368, which is why the large build above is the one most likely to fit a Restaurant Chains business here — though the other two are a click away if it does not. Local time is America/Los Angeles, 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 San Jose
Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.
| Data centre | Distance from San Jose | Estimated round trip |
|---|---|---|
| Santa Claraamericas | In your metro | 1–2 ms |
| Los Angelesamericas | 306 miles | 7–15 ms |
| Seattleamericas | 710 miles | 17–34 ms |
San Jose sits in California, 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.
Restaurant Chains hosting in San Jose — FAQs
What size server does a Restaurant Chains business in San Jose, CA need?
Where would the server for my San Jose, CA business actually run?
Is a VPS enough for Restaurant Chains, or do we need a dedicated server?
Can you host central menu & pricing for us?
Can we start smaller and grow?
Other industries in San Jose
Same city, different workload.
Restaurant Chains hosting nearby
The same workload, in the nearest cities.