Why the cloud — and why not always
On-premises infrastructure carries fixed costs that don't drop when demand does, forces you to size for peak load and complicates disaster recovery. The cloud solves all three, but it raises new questions: where the data lives, who has access, how control is demonstrated.
Not every workload should move. Part of our job is identifying what makes sense to migrate, what should stay on-premises and which hybrid architecture fits your case — rather than assuming that moving everything is always the goal.
What a regulator will look at
Data residency and sovereignty: in which jurisdiction the data is stored and what that means for the regulations that apply to you. Access traceability: who got in, when and to what. Continuity: how long a full recovery takes and when it was last tested.
These questions are easier to answer when the architecture was designed with them in mind. Answering them after migrating often means redoing part of the work.
What we manage
IaaS architectures for workloads that need control over infrastructure, PaaS to speed up development without managing servers, and SaaS where an existing solution covers the need without building anything.
Migration is carried out in phases, with the current and new environments running side by side and defined rollback points. Nothing is switched off until its replacement has proven itself with real data.
After the migration
Cloud costs are variable, and without active management they tend to grow. We periodically review sizing, identify resources left running with no use and adjust to actual consumption.
We also keep the architecture documentation up to date. In an audit, an outdated diagram is worse than no diagram at all.