Lake Shore, United States
Server infrastructure for DevOps in Lake Shore
Infrastructure for DevOps is a question of matching the machine to the application, then putting it near the people using it. For a small DevOps business in Lake Shore that is about Single Core, 8 GB of memory and 300 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 Lake Shore. 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 Most likely here
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
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 5,000 visits a month and roughly 40,000 requests a day, storage grows by roughly 21 GB a month at this size, which usually decides the build before CPU does.
- 1.9 req/sec at peak
- 4.2 GB working set
- 21 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.
Lake Shore is closest to New York. Every marker costs the same per month.
Show all 24 locations and distances from Lake Shore ▾
| Location | Distance | Est. round trip |
|---|---|---|
| Americas · 9 locations | ||
| New York, United States | 172 miles | 4–8 ms |
| Toronto, Canada | 348 miles | 8–17 ms |
| Atlanta, United States | 574 miles | 14–28 ms |
| Chicago, United States | 616 miles | 15–30 ms |
| Miami, United States | 947 miles | 23–46 ms |
| Dallas, United States | 1,214 miles | 29–59 ms |
| Los Angeles, United States | 2,323 miles | 56–112 ms |
| Seattle, United States | 2,340 miles | 56–113 ms |
| Santa Clara, United States | 2,445 miles | 59–118 ms |
| Europe, Middle East & Africa · 8 locations | ||
| London, United Kingdom | 3,633 miles | 88–175 ms |
| Madrid, Spain | 3,750 miles | 91–181 ms |
| Amsterdam, The Netherlands | 3,815 miles | 92–184 ms |
| Frankfurt, Germany | 4,026 miles | 97–194 ms |
| Stockholm, Sweden | 4,095 miles | 99–198 ms |
| Milan, Italy | 4,188 miles | 101–202 ms |
| Bucharest, Romania | 4,926 miles | 119–238 ms |
| Tel Aviv, Israel | 5,835 miles | 141–282 ms |
| Asia-Pacific · 7 locations | ||
| Tokyo, Japan | 6,779 miles | 164–327 ms |
| Delhi NCR, India | 7,469 miles | 180–361 ms |
| Mumbai, India | 7,955 miles | 192–384 ms |
| Kolkata, India | 8,064 miles | 195–389 ms |
| Hong Kong, China | 8,137 miles | 196–393 ms |
| Singapore | 9,641 miles | 233–465 ms |
| Sydney, Australia | 9,793 miles | 236–473 ms |
Distances are from Lake Shore. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.
DevOps in Lake Shore
The closest of our 24 data centres to Lake Shore is New York, about 172 miles away. The price is the same in all 24 locations, so distance is the only variable worth optimising.
Lake Shore has a population of about 19,477, which is why the small 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 Lake Shore
Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.
| Data centre | Distance from Lake Shore | Estimated round trip |
|---|---|---|
| New Yorkamericas | 172 miles | 4–8 ms |
| Torontoamericas | 348 miles | 8–17 ms |
| Atlantaamericas | 574 miles | 14–28 ms |
Lake Shore sits in Maryland, 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 small size assumed above, that is roughly 40,000 requests a day crossing that link.
DevOps hosting in Lake Shore — FAQs
What size server does a DevOps business in Lake Shore, MD need?
Where would the server for my Lake Shore, MD 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 Lake Shore
Same city, different workload.
DevOps hosting nearby
The same workload, in the nearest cities.