San Francisco, United States
Server infrastructure for Hostels in San Francisco
Infrastructure for Hostels is a question of matching the machine to the application, then putting it near the people using it. For a large Hostels business in San Francisco that is about 4 Cores, 24 GB of memory and 200 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 San Francisco. 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 Hostels
1–10 people · ~5,000 visits a month
On request
Shared Hosting
- Single Core
- 4 GB RAM
- 40 GB storage
About 0.7 requests a second at peak, holding roughly 1.1 GB of working data.
Configure this build →Medium Hostels
11–50 people · ~50,000 visits a month
$81.20 USD USD
per month · VPS
- Single Core
- 6 GB RAM
- 80 GB storage
- Managed
About 6.8 requests a second at peak, holding roughly 3 GB of working data.
Configure this build →Large Hostels Most likely here
51+ people · ~500,000 visits a month
$289.30 USD USD
per month · VDS
- 4 Cores
- 24 GB RAM
- 200 GB storage
- Managed
About 67.5 requests a second at peak, holding roughly 12 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 Hostels 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.
- 67.5 req/sec at peak
- 12 GB working set
- 12 GB/month growth
- Linux
Which tiers suit Hostels
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. |
Hostels workloads you can host
Inventory is a bed rather than a room, which multiplies the rows and makes availability a harder question to answer.
- Bed-level dorm inventory
- Mixed dorm & private booking
- Group reservations
- Events board
- Lockers & deposits
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 Francisco is closest to Santa Clara. Every marker costs the same per month.
Show all 24 locations and distances from San Francisco ▾
| Location | Distance | Est. round trip |
|---|---|---|
| Americas · 9 locations | ||
| Santa Clara, United States | 39 miles | 1–2 ms |
| Los Angeles, United States | 347 miles | 8–17 ms |
| Seattle, United States | 679 miles | 16–33 ms |
| Dallas, United States | 1,481 miles | 36–71 ms |
| Chicago, United States | 1,855 miles | 45–90 ms |
| Atlanta, United States | 2,136 miles | 52–103 ms |
| Toronto, Canada | 2,264 miles | 55–109 ms |
| New York, United States | 2,566 miles | 62–124 ms |
| Miami, United States | 2,591 miles | 63–125 ms |
| Asia-Pacific · 7 locations | ||
| Tokyo, Japan | 5,142 miles | 124–248 ms |
| Hong Kong, China | 6,895 miles | 166–333 ms |
| Sydney, Australia | 7,424 miles | 179–358 ms |
| Delhi NCR, India | 7,679 miles | 185–371 ms |
| Kolkata, India | 7,813 miles | 189–377 ms |
| Mumbai, India | 8,385 miles | 202–405 ms |
| Singapore | 8,440 miles | 204–407 ms |
| Europe, Middle East & Africa · 8 locations | ||
| London, United Kingdom | 5,354 miles | 129–258 ms |
| Stockholm, Sweden | 5,357 miles | 129–259 ms |
| Amsterdam, The Netherlands | 5,452 miles | 132–263 ms |
| Frankfurt, Germany | 5,675 miles | 137–274 ms |
| Madrid, Spain | 5,790 miles | 140–280 ms |
| Milan, Italy | 5,947 miles | 144–287 ms |
| Bucharest, Romania | 6,427 miles | 155–310 ms |
| Tel Aviv, Israel | 7,391 miles | 178–357 ms |
Distances are from San Francisco. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.
Hostels in San Francisco
We work with businesses across SoMa, the Mission, the Financial District, the Marina and Nob Hill. San Francisco audiences are tech-savvy and hold sites to a high bar for speed and design.
Hospitality & Hotels is one of the sectors San Francisco is known for, so this is a workload we are asked about here more than most.
The closest of our 24 data centres to San Francisco is Santa Clara, about 39 miles away. Every kilometre between your users and the server is latency you cannot optimise away in software.
San Francisco has a population of about 827,526, which is why the large build above is the one most likely to fit a Hostels 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 Francisco
Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.
| Data centre | Distance from San Francisco | Estimated round trip |
|---|---|---|
| Santa Claraamericas | 39 miles | 1–2 ms |
| Los Angelesamericas | 347 miles | 8–17 ms |
| Seattleamericas | 679 miles | 16–33 ms |
San Francisco 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.
Hostels hosting in San Francisco — FAQs
What size server does a Hostels business in San Francisco, CA need?
Where would the server for my San Francisco, CA business actually run?
Is a VPS enough for Hostels, or do we need a dedicated server?
Can you host bed-level dorm inventory for us?
Can we start smaller and grow?
Other industries in San Francisco
Same city, different workload.
Hostels hosting nearby
The same workload, in the nearest cities.