Thomson, Singapore
Server infrastructure for FinTech in Thomson
Sizing infrastructure for FinTech starts with the workload, then works back to cores, memory and disk. For a medium FinTech business in Thomson 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 Thomson. 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.
Thomson has a data centre of its own. Every marker costs the same per month.
Show all 24 locations and distances from Thomson ▾
| Location | Distance | Est. round trip |
|---|---|---|
| Asia-Pacific · 7 locations | ||
| Singapore | Same city | 1–2 ms |
| Hong Kong, China | 1,606 miles | 39–78 ms |
| Kolkata, India | 1,797 miles | 43–87 ms |
| Mumbai, India | 2,427 miles | 59–117 ms |
| Delhi NCR, India | 2,563 miles | 62–124 ms |
| Tokyo, Japan | 3,299 miles | 80–159 ms |
| Sydney, Australia | 3,917 miles | 95–189 ms |
| Europe, Middle East & Africa · 8 locations | ||
| Tel Aviv, Israel | 4,949 miles | 119–239 ms |
| Bucharest, Romania | 5,550 miles | 134–268 ms |
| Stockholm, Sweden | 5,989 miles | 145–289 ms |
| Frankfurt, Germany | 6,375 miles | 154–308 ms |
| Milan, Italy | 6,377 miles | 154–308 ms |
| Amsterdam, The Netherlands | 6,520 miles | 157–315 ms |
| London, United Kingdom | 6,742 miles | 163–325 ms |
| Madrid, Spain | 7,073 miles | 171–341 ms |
| Americas · 9 locations | ||
| Seattle, United States | 8,063 miles | 195–389 ms |
| Santa Clara, United States | 8,475 miles | 205–409 ms |
| Los Angeles, United States | 8,773 miles | 212–424 ms |
| Toronto, Canada | 9,321 miles | 225–450 ms |
| Chicago, United States | 9,365 miles | 226–452 ms |
| New York, United States | 9,527 miles | 230–460 ms |
| Dallas, United States | 9,722 miles | 235–469 ms |
| Atlanta, United States | 9,953 miles | 240–481 ms |
| Miami, United States | 10,544 miles | 255–509 ms |
Distances are from Thomson. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.
FinTech in Thomson
The closest of our 24 data centres to Thomson is Singapore, about 2 miles away. Round-trip time is set by physical distance more than by anything else, so the nearest site is usually the right one.
Thomson has a population of about 29,390, 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 Asia/Singapore, 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 the PDPA. Pricing is quoted in SGD, and the figure is the same wherever the machine physically sits.
Network reach from Thomson
Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.
| Data centre | Distance from Thomson | Estimated round trip |
|---|---|---|
| Singaporeapac | In your metro | 1–2 ms |
| Hong Kongapac | 1,606 miles | 39–78 ms |
| Kolkataapac | 1,797 miles | 43–87 ms |
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 Thomson — FAQs
What size server does a FinTech business in Thomson, Singapore need?
Where would the server for my Thomson, Singapore 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 Thomson
Same city, different workload.
FinTech hosting nearby
The same workload, in the nearest cities.