On-premises servers, cloud or a hybrid setup?

Broad decisions such as “everything goes to the cloud” or “our data stays on our own servers” rarely meet an organisation’s actual needs. A sounder approach is to assess each workload separately and choose the place that suits it. In most organisations the result is a hybrid setup.

Assessment criteria

Data location. Where some data is kept can matter in its own right. For systems holding personal data, it helps to look at this together with a legal adviser.

Connectivity. If a device in the field must keep working when the internet connection drops, a local component is unavoidable. If teams need to reach the same document from different places, the cloud has an advantage.

Cost pattern. On-premises servers require a large upfront investment and regular management effort; the cloud creates a recurring cost that grows with use. The comparison should include not only hardware or subscription fees but also energy, space, backup, updates and staff time.

Management capacity. Keeping an on-premises server secure means applying updates regularly, monitoring hardware faults and testing backups. If nobody can take this on, managed cloud options may be safer.

Performance. For applications that work with large files or need low latency, the local network can make a clear difference.

A typical hybrid setup

Many mid-sized organisations end up with a split like this:

• Email, calendars and shared documents on cloud productivity platforms.
• Identity management in the cloud, connected to every application through single sign-on.
• Field-connected systems, camera recordings or large files on local storage.
• Backups both locally and in cloud storage in a different location.

Planning the move in stages

Move to a hybrid setup step by step. Start with the workload that has the fewest dependencies and learn from it. Identity management is usually an early step, because every later move depends on it. At each stage, write down how the two environments connect, which way data flows and how to roll back if something goes wrong.

A decision table

A one-line table per workload is enough: the workload’s name, data sensitivity, connectivity needs, current location, proposed location and the reason. The table explains why today’s decision was made and makes it easier to revisit the decision when needs change.