Cloud migration without disruption

We migrate workloads in phases rather than running a single big-bang cutover. We start with an infrastructure assessment that maps your existing estate, including licensing footprint, data dependencies, residency constraints and integration points, and produces a phased migration plan sequenced by risk and by the cost each workload removes. From there we move and validate one workload at a time, with the legacy environment staying fully operational until the new platform matches its output to the record. We rely on Change Data Capture for continuous synchronization and on validation scripts that compare source and target, so the migration runs with no data loss and remains reversible until you are ready to switch a segment over. You see the business case before any commitment to the full move.

Yes. We re-platform legacy Oracle and SAP environments to cloud-native architectures, including data lakes, with the goal of reducing operational and licensing cost. Our senior team brings more than 15 years maintaining and migrating Oracle systems across European telecom and infrastructure platforms. We begin with a licensing and schema audit, which on large estates often surfaces a significant share of removable cost, then build secure integration layers and ETL pipelines that bridge your on-premise databases with the new platform. Where it makes sense we map proprietary database workloads onto managed or open-source equivalents, such as PostgreSQL, so licensing carried over from the legacy stack is removed rather than migrated. The migration runs with no data loss and stays reversible until each segment is validated.

We work primarily with AWS and Azure, including hybrid and multi-cloud setups for regulated environments such as those under GDPR and BaFin. The hyperscaler choice is never a default; it depends on the workload profile, on existing tooling, and on where your data is legally allowed to reside. We right-size compute and storage so the target environment matches actual operational load rather than the oversized legacy footprint, and we favor managed services where they cut maintenance without creating lock-in. Provisioning is handled as Infrastructure as Code, using tools such as Terraform, so every environment is reproducible, version-controlled and auditable. Security is built in from the start, with encryption, identity and access controls, and network segmentation defined alongside the infrastructure rather than added afterwards.

The migration is designed to keep production running throughout. Because we move one workload at a time rather than all at once, the legacy environment stays fully operational while the new platform is built and tested in parallel. Before any segment is switched over, validation scripts compare the output of both systems so we only cut over once the new platform matches the old one to the record. If something is wrong, the migration remains reversible, and you stay on the legacy system until it is resolved. Cutovers are planned around your operational calendar to avoid peak periods. After the move we measure the cost actually removed, so the saving is documented rather than assumed, and we hand over reproducible Infrastructure as Code so your team can operate the platform independently.