Peng Siang, Singapore
Server infrastructure for DevOps in Peng Siang
The right server for DevOps is decided by the work it has to do, not by the size of the plan you happen to land on. For a medium DevOps business in Peng Siang 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 Peng Siang. 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.
Peng Siang has a data centre of its own. Every marker costs the same per month.
Show all 24 locations and distances from Peng Siang ▾
| Location | Distance | Est. round trip |
|---|---|---|
| Asia-Pacific · 7 locations | ||
| Singapore | Same city | 1–2 ms |
| Hong Kong, China | 1,608 miles | 39–78 ms |
| Kolkata, India | 1,792 miles | 43–87 ms |
| Mumbai, India | 2,420 miles | 58–117 ms |
| Delhi NCR, India | 2,557 miles | 62–123 ms |
| Tokyo, Japan | 3,302 miles | 80–159 ms |
| Sydney, Australia | 3,924 miles | 95–189 ms |
| Europe, Middle East & Africa · 8 locations | ||
| Tel Aviv, Israel | 4,942 miles | 119–239 ms |
| Bucharest, Romania | 5,543 miles | 134–268 ms |
| Stockholm, Sweden | 5,984 miles | 144–289 ms |
| Frankfurt, Germany | 6,369 miles | 154–308 ms |
| Milan, Italy | 6,371 miles | 154–308 ms |
| Amsterdam, The Netherlands | 6,514 miles | 157–315 ms |
| London, United Kingdom | 6,736 miles | 163–325 ms |
| Madrid, Spain | 7,066 miles | 171–341 ms |
| Americas · 9 locations | ||
| Seattle, United States | 8,065 miles | 195–389 ms |
| Santa Clara, United States | 8,479 miles | 205–409 ms |
| Los Angeles, United States | 8,777 miles | 212–424 ms |
| Toronto, Canada | 9,319 miles | 225–450 ms |
| Chicago, United States | 9,364 miles | 226–452 ms |
| New York, United States | 9,525 miles | 230–460 ms |
| Dallas, United States | 9,723 miles | 235–469 ms |
| Atlanta, United States | 9,953 miles | 240–481 ms |
| Miami, United States | 10,543 miles | 255–509 ms |
Distances are from Peng Siang. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.
DevOps in Peng Siang
The closest of our 24 data centres to Peng Siang is Singapore, about 6 miles away. Choosing the closest data centre is the cheapest performance improvement available, and it costs nothing extra.
Peng Siang has a population of about 33,860, 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 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 Peng Siang
Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.
| Data centre | Distance from Peng Siang | Estimated round trip |
|---|---|---|
| Singaporeapac | In your metro | 1–2 ms |
| Hong Kongapac | 1,608 miles | 39–78 ms |
| Kolkataapac | 1,792 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.
DevOps hosting in Peng Siang — FAQs
What size server does a DevOps business in Peng Siang, Singapore need?
Where would the server for my Peng Siang, Singapore 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 Peng Siang
Same city, different workload.
DevOps hosting nearby
The same workload, in the nearest cities.