What we mean by cloud.

Servers that increase in number when demand rises and shrink when it falls, so you do not pay for capacity no one is using. Separate networks to isolate sensitive data, with a single protected entry point. Automated system updates, backups and data replication, without requiring a dedicated person.

And pipelines that move a change from one environment to the next without anyone typing commands on a server.

It is useful when demand is not constant, or when there is data that cannot be exposed.

The technologies we work with

The technologies we work with

When we do not use it

When we do not use it

When demand is small and stable. An infrastructure that scales itself has design and maintenance costs: below a certain threshold it costs more than it saves, and one well-configured machine is the right answer.

Saying it beforehand is more useful than finding out later, and it is the kind of assessment done in a Production & scalability check.

What we have used it for

What we have used it for

The way we work is the same across technologies: peer review before release, separate environments, and automated pipeline checks. How we work

Cloud

If you have a project to build, grow or recover: Build · Scale · Rescue