Cloud or your own servers: how to choose

Should you host your product in the cloud or on your own servers? There is no universal right answer. There are questions to ask, in the right order, before the choice becomes expensive to change.

Five questions to ask

1. Where must your data stay? If confidentiality or sector constraints require some data to stay inside a perimeter you control, your options narrow quickly. This is the first question, because it rules out solutions before price even comes up.

2. Is your load predictable? A load that varies a lot from one day to the next benefits from the flexibility of the cloud. A stable load suits servers sized once.

3. Who will run the platform? Your own servers need someone to monitor them, update them and back them up. The cloud removes part of that work, not all of it: an application that is badly monitored is badly monitored in the cloud too.

4. What cost do you want to be able to predict? A usage-based cost follows your use, and can surprise you when use grows. A fixed cost can be budgeted, but it is paid even when the platform is barely used. Compare on your real usage, not on a price list.

5. Will you be able to change your mind? The more a product depends on services specific to one provider, the more it costs to leave. Reversibility is decided at design time, not on the day you want to leave.

What architecture changes

A product designed as microservices, with a clean architecture, SQL and NoSQL data, a cache and a message bus, can run in the cloud as well as on your premises. That is what we aim for at TIC-NOVA: the hosting choice is made according to your constraints, and it does not dictate how the product is built.

In practice, that means:

decoupled services, which can be moved one at a time;
automated, reproducible deployments, with a known way back;
configuration and secrets kept out of the code, specific to each environment;
automated tests that run the same way wherever the product is hosted.

A choice that isn’t final

Many products start in the cloud to move fast, then move part of the platform when constraints change, or the other way round. If the product was built for it, that move is a project, not a rebuild.

For AI, the question is even sharper: models installed on your side keep your data inside your perimeter, at the price of hardware to size. We cover it in our article on sovereign AI.

In short

Start with data, then load, operations, cost and reversibility. If the answer is not obvious, that is a sign you need to scope before choosing, and to build the product so that it does not depend on that choice.