Lawrence, United States
Server infrastructure for FinTech in Lawrence
Sizing infrastructure for FinTech starts with the workload, then works back to cores, memory and disk. For a medium FinTech business in Lawrence that is about 4 Cores, 48 GB of memory and 300 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 Lawrence. 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 FinTech
1–10 people · ~5,000 visits a month
$251.50 USD USD
per month · VDS
- 2 Cores
- 24 GB RAM
- 150 GB storage
About 1.9 requests a second at peak, holding roughly 14 GB of working data.
Configure this build →Medium FinTech Most likely here
11–50 people · ~50,000 visits a month
$439.15 USD USD
per month · VDS
- 4 Cores
- 48 GB RAM
- 300 GB storage
- Managed
About 18.5 requests a second at peak, holding roughly 40 GB of working data.
Configure this build →Large FinTech
51+ people · ~500,000 visits a month
$1,735.15 USD USD
per month · Dedicated Server
- 16 Cores
- 196 GB RAM
- 1000 GB storage
- Managed
About 185.2 requests a second at peak, holding roughly 160 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 FinTech size up this way
Working from about 50,000 visits a month and roughly 400,000 requests a day, about 40 GB of data needs to stay in memory to keep queries fast.
- 18.5 req/sec at peak
- 40 GB working set
- 10 GB/month growth
- Linux
Which tiers suit FinTech
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. |
FinTech workloads you can host
The API is the product, so uptime is contractual and every failed webhook is somebody's missing money.
- Payments API
- KYC/AML onboarding
- Ledger service
- Webhook delivery
- Reconciliation jobs
Where your server runs
All 24 locations cost the same, so pick whichever sits closest to the people who will actually use the server.
Lawrence is closest to Chicago. Every marker costs the same per month.
Show all 24 locations and distances from Lawrence ▾
| Location | Distance | Est. round trip |
|---|---|---|
| Americas · 9 locations | ||
| Chicago, United States | 164 miles | 4–8 ms |
| Atlanta, United States | 430 miles | 10–21 ms |
| Toronto, Canada | 432 miles | 10–21 ms |
| New York, United States | 636 miles | 15–31 ms |
| Dallas, United States | 772 miles | 19–37 ms |
| Miami, United States | 1,029 miles | 25–50 ms |
| Los Angeles, United States | 1,813 miles | 44–88 ms |
| Seattle, United States | 1,872 miles | 45–90 ms |
| Santa Clara, United States | 1,935 miles | 47–93 ms |
| Europe, Middle East & Africa · 8 locations | ||
| London, United Kingdom | 3,981 miles | 96–192 ms |
| Amsterdam, The Netherlands | 4,147 miles | 100–200 ms |
| Madrid, Spain | 4,175 miles | 101–202 ms |
| Stockholm, Sweden | 4,346 miles | 105–210 ms |
| Frankfurt, Germany | 4,366 miles | 105–211 ms |
| Milan, Italy | 4,556 miles | 110–220 ms |
| Bucharest, Romania | 5,251 miles | 127–254 ms |
| Tel Aviv, Israel | 6,190 miles | 149–299 ms |
| Asia-Pacific · 7 locations | ||
| Tokyo, Japan | 6,465 miles | 156–312 ms |
| Delhi NCR, India | 7,594 miles | 183–367 ms |
| Hong Kong, China | 7,949 miles | 192–384 ms |
| Kolkata, India | 8,109 miles | 196–392 ms |
| Mumbai, India | 8,145 miles | 197–393 ms |
| Sydney, Australia | 9,299 miles | 224–449 ms |
| Singapore | 9,523 miles | 230–460 ms |
Distances are from Lawrence. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.
FinTech in Lawrence
The closest of our 24 data centres to Lawrence is Chicago, about 164 miles away. Round-trip time is set by physical distance more than by anything else, so the nearest site is usually the right one.
Lawrence has a population of about 47,809, which is why the medium build above is the one most likely to fit a FinTech business here — though the other two are a click away if it does not. Local time is America/Indiana/Indianapolis, 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 Lawrence
Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.
| Data centre | Distance from Lawrence | Estimated round trip |
|---|---|---|
| Chicagoamericas | 164 miles | 4–8 ms |
| Atlantaamericas | 430 miles | 10–21 ms |
| Torontoamericas | 432 miles | 10–21 ms |
Lawrence sits in Indiana, 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.
FinTech hosting in Lawrence — FAQs
What size server does a FinTech business in Lawrence, IN need?
Where would the server for my Lawrence, IN business actually run?
Is a VPS enough for FinTech, or do we need a dedicated server?
Can you host payments API for us?
Can we start smaller and grow?
Other industries in Lawrence
Same city, different workload.
FinTech hosting nearby
The same workload, in the nearest cities.