Berkeley, United States
Server infrastructure for Construction Companies in Berkeley
The right server for Construction Companies is decided by the work it has to do, not by the size of the plan you happen to land on. For a medium Construction business in Berkeley that is about 2 Cores, 32 GB of memory and 250 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 Berkeley. 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 Construction
1–10 people · ~5,000 visits a month
$132.50 USD USD
per month · VPS
- Single Core
- 12 GB RAM
- 100 GB storage
About 0.6 requests a second at peak, holding roughly 8.4 GB of working data.
Configure this build →Medium Construction Most likely here
11–50 people · ~50,000 visits a month
$333.85 USD USD
per month · VDS
- 2 Cores
- 32 GB RAM
- 250 GB storage
- Managed
About 6.2 requests a second at peak, holding roughly 24 GB of working data.
Configure this build →Large Construction
51+ people · ~500,000 visits a month
$1,127.65 USD USD
per month · Dedicated Server
- 8 Cores
- 128 GB RAM
- 900 GB storage
- Managed
About 61.7 requests a second at peak, holding roughly 96 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.
Which tiers suit Construction Companies
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 | An ERP or practice-management system needs a database tuned to its own workload, which a shared platform will not allow. |
| VPS Flexible virtual infrastructure with full root access | Workable | Enough for a small team, though the working set of a records system tends to outgrow a modest instance quickly. |
| VDS Virtual server with resources pinned to you alone | Recommended | Guaranteed memory is what keeps the database in cache, which is the single biggest factor in how fast these systems feel. |
| Dedicated Server An entire physical server, configured to your specification | Recommended | The usual answer: a records system rewards a large, uncontended memory pool and consistent disk latency. |
| Bare Metal Physical compute for sustained, demanding workloads | Workable | For large deployments, or where the database and application tiers are virtualized onto one physical host. |
Construction Companies workloads you can host
- Project management
- Document control
- CAD & BIM files
- Estimating
- Accounting
- Field management
- CRM
Construction in Berkeley, business by business
These are not the same workload. Sized at the medium band, here is what each one actually needs.
| Business | Build | Tier | What decides it |
|---|---|---|---|
| General Contractors | 2 vCPU · 32 GB · 900 GB | VDS | Drawings supersede constantly, and building to a revision that was withdrawn last week is expensive. |
| Civil Contractors | 4 vCPU · 48 GB · 1500 GB | VDS | Survey and machine-control data arrive from the field in large daily batches. |
| Electrical Contractors | 1 vCPU · 16 GB · 250 GB | VPS | Test certificates are the legal output of the work and have to be produced on demand long afterwards. |
| Plumbing Contractors | 1 vCPU · 16 GB · 200 GB | VPS | Emergency call-outs mean dispatch has to work at three in the morning as reliably as at midday. |
| HVAC Contractors | 2 vCPU · 24 GB · 250 GB | VDS | The first cold snap and the first heatwave generate a year's emergency calls in a fortnight. |
| Roofing Companies | 2 vCPU · 32 GB · 700 GB | VDS | Drone surveys have replaced ladders, and they produce far more imagery than the old paperwork did. |
| Building Contractors | 2 vCPU · 32 GB · 250 GB | VDS | Cost tracking against a live programme is the query that decides whether the job is profitable while it is sti... |
| Construction Management | 4 vCPU · 48 GB · 800 GB | VDS | Managing several projects makes the cross-project rollup the heavy query rather than any single job. |
| BIM Services | 6 vCPU · 96 GB · 2000 GB | Dedicated Server | Clash detection on a federated model is a heavy, memory-hungry run that people wait on. |
Where your server runs
All 24 locations cost the same, so pick whichever sits closest to the people who will actually use the server.
Berkeley is closest to Santa Clara. Every marker costs the same per month.
Show all 24 locations and distances from Berkeley ▾
| Location | Distance | Est. round trip |
|---|---|---|
| Americas · 9 locations | ||
| Santa Clara, United States | 40 miles | 1–2 ms |
| Los Angeles, United States | 347 miles | 8–17 ms |
| Seattle, United States | 673 miles | 16–32 ms |
| Dallas, United States | 1,474 miles | 36–71 ms |
| Chicago, United States | 1,845 miles | 45–89 ms |
| Atlanta, United States | 2,127 miles | 51–103 ms |
| Toronto, Canada | 2,254 miles | 54–109 ms |
| New York, United States | 2,556 miles | 62–123 ms |
| Miami, United States | 2,584 miles | 62–125 ms |
| Asia-Pacific · 7 locations | ||
| Tokyo, Japan | 5,145 miles | 124–248 ms |
| Hong Kong, China | 6,897 miles | 166–333 ms |
| Sydney, Australia | 7,434 miles | 179–359 ms |
| Delhi NCR, India | 7,675 miles | 185–371 ms |
| Kolkata, India | 7,811 miles | 189–377 ms |
| Mumbai, India | 8,381 miles | 202–405 ms |
| Singapore | 8,443 miles | 204–408 ms |
| Europe, Middle East & Africa · 8 locations | ||
| London, United Kingdom | 5,344 miles | 129–258 ms |
| Stockholm, Sweden | 5,348 miles | 129–258 ms |
| Amsterdam, The Netherlands | 5,442 miles | 131–263 ms |
| Frankfurt, Germany | 5,665 miles | 137–274 ms |
| Madrid, Spain | 5,780 miles | 140–279 ms |
| Milan, Italy | 5,937 miles | 143–287 ms |
| Bucharest, Romania | 6,418 miles | 155–310 ms |
| Tel Aviv, Israel | 7,382 miles | 178–356 ms |
Distances are from Berkeley. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.
Construction Companies in Berkeley
The closest of our 24 data centres to Berkeley is Santa Clara, about 40 miles away. Choosing the closest data centre is the cheapest performance improvement available, and it costs nothing extra.
Berkeley has a population of about 120,972, which is why the medium build above is the one most likely to fit a Construction business here — though the other two are a click away if it does not. Local time is America/Los Angeles, 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 Berkeley
Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.
| Data centre | Distance from Berkeley | Estimated round trip |
|---|---|---|
| Santa Claraamericas | 40 miles | 1–2 ms |
| Los Angelesamericas | 347 miles | 8–17 ms |
| Seattleamericas | 673 miles | 16–32 ms |
Berkeley sits in California, 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 213,333 requests a day crossing that link.
Construction Companies hosting in Berkeley — FAQs
What size server does a Construction business in Berkeley, CA need?
Where would the server for my Berkeley, CA business actually run?
Is a VPS enough for Construction Companies, or do we need a dedicated server?
Can you host project management for us?
Can we start smaller and grow?
Other industries in Berkeley
Same city, different workload.