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Cloud Platforms

We design, move, and run cloud platforms that grow and shrink with demand. We set them up so costs are visible, releases are routine, and recovery is tested, and we tell you when staying where you are is the better choice.

  • 1,200+ clients helped
  • Building since 2010
  • 15 services, one team
  • 50+ technologies
Black server cabinets in a data center

At a glance

What we build

We build cloud platforms that run your software on computers rented from a provider, so you can add or remove capacity as needed instead of owning servers.

In practice

Renting capacity instead of owning machines

We set up your software on rented computing services, such as servers, storage, and databases, paid for by use, instead of on machines you own and look after.

This changes how costs work. You pay as you use, so a quiet month costs less. It also changes how risk works, since the provider keeps the hardware running.

The cloud is not automatically cheaper. A badly planned set-up can cost more than the servers it replaced. Planning, monitoring, and review are part of the work.

Your own servers compared with a cloud platform

Before: Your own servers. Bought in advance for peak use; Maintained by one or two people; Down if the building has a problem. After: A cloud platform. Capacity grows and shrinks; Maintained largely by the provider; Copies kept in separate locations.

Before

Your own servers

Fixed capacity that you maintain.

  • Bought in advance for peak use
  • Maintained by one or two people
  • Down if the building has a problem

After

A cloud platform

Rented capacity that follows demand.

  • Capacity grows and shrinks
  • Maintained largely by the provider
  • Copies kept in separate locations
This diagram contrasts fixed servers you own and maintain with rented cloud capacity that grows and shrinks and is copied across locations.

Often built with

The layout

How a cloud platform is arranged

A well-planned platform separates what the public sees from what must stay private.

How a cloud platform is arranged

Layers from top to bottom. Entry; Application; Data; Operations.

  1. EntryWhere visitors arrive, with protection from misuse.
  2. ApplicationYour software, running on several machines at once.
  3. DataDatabases and files, kept private and backed up.
  4. OperationsMonitoring, alerts, and cost control.
This diagram shows four layers of a cloud platform, from the public entry down to private data, with operations watching over each layer.

Cost

What drives a cloud bill

Main drivers of cloud cost
DriverWhat it meansHow we keep it in check
Computing The machines that run your software. Size them to real use, and switch off what is idle.
Storage Files and databases kept online. Archive old data to cheaper storage.
Data transfer Information leaving the provider's network. Place things close together and cache what is reused.
Forgotten items Test systems nobody remembers. Label everything and review monthly.

Moving

What to move, and when

Not everything should move at once, or at all.

What are you running today?

Choose this when

Traffic rises and falls, and downtime costs you.

What you get
Good first candidates. The platform grows with demand.
Keep in mind
Move in stages, and test before switching visitors.
Plan a first move

A typical example

An application moved off a single server

A typical case is an organization whose application runs on a single server in an office cupboard. When it fails, the one person who understands it must fix it, and the business waits.

A cloud platform could run the application on several machines, keep backups in another location, and alert a team when something goes wrong. A failure would no longer stop everything.

Technology

Under the hood

What we settle early: providers and practices, so nothing surprises your team later.

We work with AWS, Azure, and Google Cloud, and recommend the one that fits your needs, not the one we prefer.

Common questions

Questions about cloud platforms

Is the cloud cheaper than our own servers?

Sometimes. It is more flexible, and costs follow use. A steady, predictable workload can be cheaper on owned machines. We compare both honestly.

Can we avoid being locked in to one provider?

Partly. We favor common tools and clear documentation, so moving later is possible, though never free.

Who looks after it once it is live?

That is agreed in advance. You, we, or a mix can monitor it, apply updates, and respond to alerts.

Have a different question?

Tell us what you are weighing up and we will answer it plainly.

Ask a question

Already a client? Email support@dechytech.com

Tell us what runs where today

Describe your current set-up and what hurts. We will say what to move, what to leave, and roughly what it would cost to run.