University City, United States

Server infrastructure for Cybersecurity in University City

Most Cybersecurity outgrow their first server in one specific place — and it is rarely the one the plan name suggests. For a medium Cybersecurity business in University City that is about 4 Cores, 64 GB of memory and 1500 GB of storage on VDS.

Choose your infrastructure → From $709.15 USD / month
  • 5 infrastructure tiers
  • Sized for your workload, not a plan name
  • Same price in all 24 locations
Closest location live
University City and its closest data centre University City joined by a link to the Chicago data centre, 264 miles away. University City Chicago Illinois, United States
264 miles from University City
6–13 ms estimated round trip

Estimated from fibre distance, not measured from University City. 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 Cybersecurity

1–10 people · ~5,000 visits a month


$289.30 USD USD

per month · VDS

  • 2 Cores
  • 24 GB RAM
  • 450 GB storage

About 1.4 requests a second at peak, holding roughly 16.8 GB of working data.

Configure this build →

Large Cybersecurity

51+ people · ~500,000 visits a month


$2,572.15 USD USD

per month · Dedicated Server

  • 16 Cores
  • 256 GB RAM
  • 4000 GB storage
  • Managed

About 138.9 requests a second at peak, holding roughly 192 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 Cybersecurity size up this way

Working from about 50,000 visits a month and roughly 400,000 requests a day, storage grows by roughly 90 GB a month at this size, which usually decides the build before CPU does; and about 48 GB of data needs to stay in memory to keep queries fast.

  • 13.9 req/sec at peak
  • 48 GB working set
  • 90 GB/month growth
  • Linux

Which tiers suit Cybersecurity

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 Not this one Shared hosting cannot run background workers, queues or long-lived processes, which a SaaS application depends on.
VPS Flexible virtual infrastructure with full root access Recommended The natural home for an early-stage product: root access, your own runtime, and the ability to resize as you grow.
VDS Virtual server with resources pinned to you alone Recommended Pinned resources give you the predictable latency your customers will hold you to in an SLA.
Dedicated Server An entire physical server, configured to your specification Recommended Right once the database and the application tier are competing for the same memory on a single virtual instance.
Bare Metal Physical compute for sustained, demanding workloads Workable For platforms running their own virtualization, or holding a large working set entirely in memory.

Cybersecurity workloads you can host

Retention is the constraint: keeping a year of logs searchable is a storage and indexing problem that never stops growing.

  • SIEM & log ingestion
  • Vulnerability scanning
  • Threat intelligence feeds
  • Incident case management
  • Forensic storage

Where your server runs

All 24 locations cost the same, so pick whichever sits closest to the people who will actually use the server.

Americas coverage 9 live
Americas data centre locations 9 locations across Americas, with Chicago marked as the closest to University City. Chicago University City

University City is closest to Chicago. Every marker costs the same per month.

Show all 24 locations and distances from University City ▾
Location Distance Est. round trip
Americas · 9 locations
Chicago, United States 264 miles 6–13 ms
Atlanta, United States 473 miles 11–23 ms
Dallas, United States 545 miles 13–26 ms
Toronto, Canada 664 miles 16–32 ms
New York, United States 877 miles 21–42 ms
Miami, United States 1,068 miles 26–52 ms
Los Angeles, United States 1,580 miles 38–76 ms
Seattle, United States 1,714 miles 41–83 ms
Santa Clara, United States 1,717 miles 41–83 ms
Europe, Middle East & Africa · 8 locations
London, United Kingdom 4,203 miles 101–203 ms
Amsterdam, The Netherlands 4,365 miles 105–211 ms
Madrid, Spain 4,414 miles 107–213 ms
Stockholm, Sweden 4,539 miles 110–219 ms
Frankfurt, Germany 4,585 miles 111–221 ms
Milan, Italy 4,782 miles 115–231 ms
Bucharest, Romania 5,465 miles 132–264 ms
Tel Aviv, Israel 6,411 miles 155–310 ms
Asia-Pacific · 7 locations
Tokyo, Japan 6,392 miles 154–309 ms
Delhi NCR, India 7,727 miles 187–373 ms
Hong Kong, China 7,935 miles 192–383 ms
Kolkata, India 8,205 miles 198–396 ms
Mumbai, India 8,302 miles 200–401 ms
Sydney, Australia 9,058 miles 219–437 ms
Singapore 9,530 miles 230–460 ms

Distances are from University City. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.

Cybersecurity in University City

The closest of our 24 data centres to University City is Chicago, about 264 miles away. The price is the same in all 24 locations, so distance is the only variable worth optimising.

University City has a population of about 35,058, which is why the medium build above is the one most likely to fit a Cybersecurity business here — though the other two are a click away if it does not. Local time is America/Chicago, 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 University City

Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.

Data centre Distance from University City Estimated round trip
Chicagoamericas 264 miles 6–13 ms
Atlantaamericas 473 miles 11–23 ms
Dallasamericas 545 miles 13–26 ms

University City sits in Missouri, 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 400,000 requests a day crossing that link.

Cybersecurity hosting in University City — FAQs

What size server does a Cybersecurity business in University City, MO need?
Working from about 50,000 visits a month, we would start at 4 cores, 64 GB of memory and 1500 GB of storage on VDS. That is an assumption about traffic rather than a measurement of yours — if you know your real figures, the estimate changes with them.
Where would the server for my University City, MO business actually run?
The closest of our 24 data centres to University City, MO is , about 424 km away. You can choose any of the others at the same price — the server is wherever suits your users, not wherever you happen to be.
Is a VPS enough for Cybersecurity, or do we need a dedicated server?
The natural home for an early-stage product: root access, your own runtime, and the ability to resize as you grow. You can move up a tier later on the same data and the same IP address.
Can you host sIEM & log ingestion for us?
Yes — sIEM & log ingestion is exactly the kind of workload these builds are sized for, alongside vulnerability scanning and threat intelligence feeds. Retention is the constraint: keeping a year of logs searchable is a storage and indexing problem that never stops growing.
Can we start smaller and grow?
Yes. Memory, cores and disk can all be raised on the same server, usually within the hour, with no rebuild and no new IP address. Starting one size below your estimate is normally the cheaper mistake.

Other industries in University City

Same city, different workload.

Cybersecurity hosting nearby

The same workload, in the nearest cities.