Columbia, United States
Server infrastructure for DevOps in Columbia
What DevOps actually need from a server is predictable performance under load, and enough headroom to grow into. For a medium DevOps business in Columbia that is about 2 Cores, 16 GB of memory and 800 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 Columbia. 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 DevOps
1–10 people · ~5,000 visits a month
$121.70 USD USD
per month · VPS
- Single Core
- 8 GB RAM
- 300 GB storage
About 1.9 requests a second at peak, holding roughly 4.2 GB of working data.
Configure this build →Medium DevOps Most likely here
11–50 people · ~50,000 visits a month
$267.50 USD USD
per month · VPS
- 2 Cores
- 16 GB RAM
- 800 GB storage
- Managed
About 18.5 requests a second at peak, holding roughly 12 GB of working data.
Configure this build →Large DevOps
51+ people · ~500,000 visits a month
$1,424.65 USD USD
per month · Dedicated Server
- 12 Cores
- 96 GB RAM
- 4000 GB storage
- Managed
About 185.2 requests a second at peak, holding roughly 48 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 DevOps size up this way
Working from about 50,000 visits a month and roughly 400,000 requests a day, storage grows by roughly 60 GB a month at this size, which usually decides the build before CPU does.
- 18.5 req/sec at peak
- 12 GB working set
- 60 GB/month growth
- Linux
Which tiers suit DevOps
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. |
DevOps workloads you can host
Observability is the quiet capacity problem here: logs and metrics grow whether or not the product does.
- CI/CD pipelines
- Infrastructure as code
- Container orchestration
- Log aggregation
- Metrics & alerting
- Secrets management
Where your server runs
All 24 locations cost the same, so pick whichever sits closest to the people who will actually use the server.
Columbia is closest to Atlanta. Every marker costs the same per month.
Show all 24 locations and distances from Columbia ▾
| Location | Distance | Est. round trip |
|---|---|---|
| Americas · 9 locations | ||
| Atlanta, United States | 193 miles | 5–9 ms |
| Miami, United States | 571 miles | 14–28 ms |
| New York, United States | 603 miles | 15–29 ms |
| Chicago, United States | 652 miles | 16–31 ms |
| Toronto, Canada | 673 miles | 16–32 ms |
| Dallas, United States | 912 miles | 22–44 ms |
| Los Angeles, United States | 2,119 miles | 51–102 ms |
| Santa Clara, United States | 2,290 miles | 55–111 ms |
| Seattle, United States | 2,322 miles | 56–112 ms |
| Europe, Middle East & Africa · 8 locations | ||
| London, United Kingdom | 4,057 miles | 98–196 ms |
| Madrid, Spain | 4,141 miles | 100–200 ms |
| Amsterdam, The Netherlands | 4,242 miles | 102–205 ms |
| Frankfurt, Germany | 4,451 miles | 107–215 ms |
| Stockholm, Sweden | 4,528 miles | 109–219 ms |
| Milan, Italy | 4,605 miles | 111–222 ms |
| Bucharest, Romania | 5,353 miles | 129–258 ms |
| Tel Aviv, Israel | 6,253 miles | 151–302 ms |
| Asia-Pacific · 7 locations | ||
| Tokyo, Japan | 6,953 miles | 168–336 ms |
| Delhi NCR, India | 7,892 miles | 191–381 ms |
| Mumbai, India | 8,388 miles | 202–405 ms |
| Hong Kong, China | 8,419 miles | 203–406 ms |
| Kolkata, India | 8,466 miles | 204–409 ms |
| Sydney, Australia | 9,476 miles | 229–458 ms |
| Singapore | 9,974 miles | 241–482 ms |
Distances are from Columbia. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.
DevOps in Columbia
The closest of our 24 data centres to Columbia is Atlanta, about 193 miles away. Every kilometre between your users and the server is latency you cannot optimise away in software.
Columbia has a population of about 142,416, which is why the medium build above is the one most likely to fit a DevOps 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 Columbia
Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.
| Data centre | Distance from Columbia | Estimated round trip |
|---|---|---|
| Atlantaamericas | 193 miles | 5–9 ms |
| Miamiamericas | 571 miles | 14–28 ms |
| New Yorkamericas | 603 miles | 15–29 ms |
Columbia sits in South Carolina, 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.
DevOps hosting in Columbia — FAQs
What size server does a DevOps business in Columbia, SC need?
Where would the server for my Columbia, SC business actually run?
Is a VPS enough for DevOps, or do we need a dedicated server?
Can you host cI/CD pipelines for us?
Can we start smaller and grow?
Other industries in Columbia
Same city, different workload.
DevOps hosting nearby
The same workload, in the nearest cities.