Frankston, Australia

Server infrastructure for Mining Companies in Frankston

The right server for Mining 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 Mining Companies business in Frankston that is about 6 Cores, 96 GB of memory and 2000 GB of storage on Dedicated Server.

Choose your infrastructure → From $1,026.40 USD / month
  • 5 infrastructure tiers
  • Sized for your workload, not a plan name
  • Same price in all 24 locations
Closest location live
Frankston and its closest data centre Frankston joined by a link to the Sydney data centre, 450 miles away. Frankston Sydney New South Wales, Australia
450 miles from Frankston
11–22 ms estimated round trip

Estimated from fibre distance, not measured from Frankston. 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 Mining Companies

1–10 people · ~5,000 visits a month


$394.60 USD USD

per month · VDS

  • 2 Cores
  • 32 GB RAM
  • 700 GB storage

About 0.6 requests a second at peak, holding roughly 25.2 GB of working data.

Configure this build →

Large Mining Companies

51+ people · ~500,000 visits a month


$3,070.30 USD USD

per month · Bare Metal

  • 20 Cores
  • 320 GB RAM
  • 4000 GB storage
  • Managed

About 61.7 requests a second at peak, holding roughly 288 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 Mining Companies size up this way

Working from about 50,000 visits a month and roughly 213,333 requests a day, storage grows by roughly 130 GB a month at this size, which usually decides the build before CPU does; and about 72 GB of data needs to stay in memory to keep queries fast.

  • 6.2 req/sec at peak
  • 72 GB working set
  • 130 GB/month growth
  • Linux

Which tiers suit Mining 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.

Mining Companies workloads you can host

Haul fleets report position and payload constantly, and the geological model behind it all is very large.

  • Fleet dispatch & telemetry
  • Geological models
  • Production reconciliation
  • Safety & compliance records
  • Survey data

Where your server runs

All 24 locations cost the same, so pick whichever sits closest to the people who will actually use the server.

Asia-Pacific coverage 7 live
Asia-Pacific data centre locations 7 locations across Asia-Pacific, with Sydney marked as the closest to Frankston. Sydney Frankston

Frankston is closest to Sydney. Every marker costs the same per month.

Show all 24 locations and distances from Frankston ▾
Location Distance Est. round trip
Asia-Pacific · 7 locations
Sydney, Australia 450 miles 11–22 ms
Singapore 3,788 miles 91–183 ms
Hong Kong, China 4,635 miles 112–224 ms
Tokyo, Japan 5,113 miles 123–247 ms
Kolkata, India 5,578 miles 135–269 ms
Mumbai, India 6,120 miles 148–295 ms
Delhi NCR, India 6,350 miles 153–307 ms
Americas · 9 locations
Santa Clara, United States 7,876 miles 190–380 ms
Los Angeles, United States 7,939 miles 192–383 ms
Seattle, United States 8,199 miles 198–396 ms
Dallas, United States 8,997 miles 217–434 ms
Miami, United States 9,676 miles 234–467 ms
Chicago, United States 9,677 miles 234–467 ms
Atlanta, United States 9,683 miles 234–468 ms
Toronto, Canada 10,110 miles 244–488 ms
New York, United States 10,358 miles 250–500 ms
Europe, Middle East & Africa · 8 locations
Tel Aviv, Israel 8,570 miles 207–414 ms
Bucharest, Romania 9,315 miles 225–450 ms
Stockholm, Sweden 9,716 miles 235–469 ms
Milan, Italy 10,142 miles 245–490 ms
Frankfurt, Germany 10,162 miles 245–491 ms
Amsterdam, The Netherlands 10,303 miles 249–497 ms
London, United Kingdom 10,525 miles 254–508 ms
Madrid, Spain 10,771 miles 260–520 ms

Distances are from Frankston. Round trips are estimated from fibre distance, not measured — the figure your users see depends on where they are.

Mining Companies in Frankston

The closest of our 24 data centres to Frankston is Sydney, about 450 miles away. Round-trip time is set by physical distance more than by anything else, so the nearest site is usually the right one.

Frankston has a population of about 37,331, which is why the medium build above is the one most likely to fit a Mining Companies business here — though the other two are a click away if it does not. Local time is Australia/Melbourne, 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 Privacy Act 1988. Pricing is quoted in AUD, and the figure is the same wherever the machine physically sits.

Network reach from Frankston

Estimated from fibre distance rather than measured, and stated as a range. Your own access network decides the rest.

Data centre Distance from Frankston Estimated round trip
Sydneyapac 450 miles 11–22 ms
Singaporeapac 3,788 miles 91–183 ms
Hong Kongapac 4,635 miles 112–224 ms

Frankston sits in Victoria, 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.

Mining Companies hosting in Frankston — FAQs

What size server does a Mining Companies business in Frankston, VIC need?
Working from about 50,000 visits a month, we would start at 6 cores, 96 GB of memory and 2000 GB of storage on Dedicated Server. That is an assumption about traffic rather than a measurement of yours — if you know your real figures, the estimate changes with them.
Where would the server for my Frankston, VIC business actually run?
The closest of our 24 data centres to Frankston, VIC is , about 725 km away. You can choose any of the others at the same price — the server is wherever suits your users, not wherever you happen to be.
Is a VPS enough for Mining Companies, or do we need a dedicated server?
Guaranteed memory is what keeps the database in cache, which is the single biggest factor in how fast these systems feel. You can move up a tier later on the same data and the same IP address.
Can you host fleet dispatch & telemetry for us?
Yes — fleet dispatch & telemetry is exactly the kind of workload these builds are sized for, alongside geological models and production reconciliation. Haul fleets report position and payload constantly, and the geological model behind it all is very large.
Can we start smaller and grow?
Yes. Memory, cores and disk can all be raised on the same server, usually within the hour, with no rebuild and no new IP address. Starting one size below your estimate is normally the cheaper mistake.

Other industries in Frankston

Same city, different workload.

Mining Companies hosting nearby

The same workload, in the nearest cities.