Plum, United States
Server infrastructure for Ticketing Companies in Plum
What Ticketing Companies actually need from a server is predictable performance under load, and enough headroom to grow into. For a medium Ticketing Companies business in Plum that is about 4 Cores, 10 GB of memory and 80 GB of storage on VPS.
- ✓ 5 infrastructure tiers
- ✓ Sized for your workload, not a plan name
- ✓ Same price in all 24 locations
Estimated from fibre distance, not measured from Plum. 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 Ticketing Companies
1–10 people · ~5,000 visits a month
On request
Shared Hosting
- Single Core
- 4 GB RAM
- 40 GB storage
About 2.0 requests a second at peak, holding roughly 1.4 GB of working data.
Configure this build →Medium Ticketing Companies Most likely here
11–50 people · ~50,000 visits a month
$160.85 USD USD
per month · VPS
- 4 Cores
- 10 GB RAM
- 80 GB storage
- Managed
About 20.3 requests a second at peak, holding roughly 4 GB of working data.
Configure this build →Large Ticketing Companies
51+ people · ~500,000 visits a month
$796.90 USD USD
per month · Dedicated Server
- 24 Cores
- 48 GB RAM
- 250 GB storage
- Managed
About 202.6 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 Ticketing Companies size up this way
Working from about 50,000 visits a month and roughly 116,667 requests a day, peaks run about 15× the average hour, so the build is sized for the busiest moment rather than the typical one; and each request costs real computation rather than a cache lookup, so cores matter more here than on a typical site.
- 20.3 req/sec at peak
- 4 GB working set
- 3 GB/month growth
- Linux
Which tiers suit Ticketing Companies
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. |
Ticketing Companies workloads you can host
An on-sale is the most brutal traffic pattern in commerce: months of demand arriving in ninety seconds.
- Seat & inventory locking
- Queue management
- Payment processing
- Ticket delivery
- Anti-bot controls
Where your server runs
All 24 locations cost the same, so pick whichever sits closest to the people who will actually use the server.
Plum is closest to Toronto. Every marker costs the same per month.
Show all 24 locations and distances from Plum ▾
| Location | Distance | Est. round trip |
|---|---|---|
| Americas · 9 locations | ||
| Toronto, Canada | 219 miles | 5–11 ms |
| New York, United States | 302 miles | 7–15 ms |
| Chicago, United States | 420 miles | 10–20 ms |
| Atlanta, United States | 532 miles | 13–26 ms |
| Miami, United States | 1,019 miles | 25–49 ms |
| Dallas, United States | 1,083 miles | 26–52 ms |
| Seattle, United States | 2,142 miles | 52–103 ms |
| Los Angeles, United States | 2,145 miles | 52–104 ms |
| Santa Clara, United States | 2,257 miles | 54–109 ms |
| Europe, Middle East & Africa · 8 locations | ||
| London, United Kingdom | 3,703 miles | 89–179 ms |
| Madrid, Spain | 3,862 miles | 93–186 ms |
| Amsterdam, The Netherlands | 3,877 miles | 94–187 ms |
| Frankfurt, Germany | 4,092 miles | 99–198 ms |
| Stockholm, Sweden | 4,119 miles | 99–199 ms |
| Milan, Italy | 4,269 miles | 103–206 ms |
| Bucharest, Romania | 4,986 miles | 120–241 ms |
| Tel Aviv, Israel | 5,911 miles | 143–285 ms |
| Asia-Pacific · 7 locations | ||
| Tokyo, Japan | 6,609 miles | 160–319 ms |
| Delhi NCR, India | 7,447 miles | 180–360 ms |
| Mumbai, India | 7,960 miles | 192–384 ms |
| Hong Kong, China | 8,005 miles | 193–386 ms |
| Kolkata, India | 8,012 miles | 193–387 ms |
| Singapore | 9,536 miles | 230–460 ms |
| Sydney, Australia | 9,634 miles | 233–465 ms |
Distances are from Plum. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.
Ticketing Companies in Plum
The closest of our 24 data centres to Plum is Toronto, about 219 miles away. Every kilometre between your users and the server is latency you cannot optimise away in software.
Plum has a population of about 27,505, which is why the medium build above is the one most likely to fit a Ticketing Companies 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 Plum
Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.
| Data centre | Distance from Plum | Estimated round trip |
|---|---|---|
| Torontoamericas | 219 miles | 5–11 ms |
| New Yorkamericas | 302 miles | 7–15 ms |
| Chicagoamericas | 420 miles | 10–20 ms |
Plum sits in Pennsylvania, 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 116,667 requests a day crossing that link.
Ticketing Companies hosting in Plum — FAQs
What size server does a Ticketing Companies business in Plum, PA need?
Where would the server for my Plum, PA business actually run?
Is a VPS enough for Ticketing Companies, or do we need a dedicated server?
Can you host seat & inventory locking for us?
Can we start smaller and grow?
Other industries in Plum
Same city, different workload.
Ticketing Companies hosting nearby
The same workload, in the nearest cities.