Cloud migration planned around your risks, not just your servers

Migration starts with knowing what you have

The riskiest part of a cloud migration is usually not the move itself. It is the dependency nobody knew about: the scheduled job that writes to a shared folder, the application that expects a database on the same network, the hard-coded IP address in a configuration file. Our migration work therefore begins with discovery and dependency mapping, so that surprises are found on paper rather than during cutover.

We classify each workload by business criticality, technical complexity and readiness, then choose a migration strategy for it. Some systems can be rehosted largely as they are. Others benefit from replatforming, for example moving a self-managed database to a managed service. A few justify refactoring into a more cloud-native design. Some applications are better replaced by a software-as-a-service product, some should be retained where they are for now, and some can simply be retired.

Controlled execution and honest expectations

Each migration wave has a written plan covering data transfer, backups, testing, DNS changes, cutover coordination and a rollback procedure. Data integrity is verified before and after transfer, access controls are reviewed in the new environment, and users who need to test are identified in advance. Where downtime cannot be avoided, we schedule it with you and work to keep the window as short as the workload allows.

Migration is also the right moment to modernize. Well-designed cloud environments can improve scalability, operational visibility, resilience and deployment flexibility. Those improvements come from design choices, not from the act of moving, so we identify which modernization steps offer real value and which can wait.

We are deliberately careful about promises. Actual migration duration, downtime, cost savings and performance depend on the complexity of each workload, the quality of existing documentation and the constraints of the systems involved. We assess these individually and give you estimates based on what we find, not on generic figures.