Cloud solves the hardware procurement problem and replaces it with two others: a bill that grows every month for reasons nobody can fully explain, and an environment where anyone with credentials can create resources that are never reviewed again. Two years in, the typical account holds dozens of instances with no identifiable owner, volumes left behind by deleted machines, test environments running through the weekend, and databases sized for a traffic peak that never arrived. This is an operations problem, not a technology one.
Migration
We do not move everything at once, and we do not move everything as-is. The starting point is an application inventory where each workload gets an explicit disposition: rehost, partially re-platform, replace with a managed service, or stay where it is. That last option is consistently undervalued. Steady workloads with high constant utilisation frequently cost more in cloud than on owned hardware in colocation, and migrating them destroys value.
Migration runs in waves, starting with lower-criticality applications to validate the process and build the automation the rest of the project depends on. Each wave has a rollback plan that is tested before execution rather than written and filed. Critical systems move only after the team has rehearsed the procedure on lower-risk workloads.
Day-two operations
Once workloads are running, the environment needs to be operated. We define infrastructure in Terraform, version it in Git and apply changes through a pipeline rather than through the web console. That makes staging reproducible against production and makes a bad change identifiable and reversible. The console remains available for diagnosis, not for changes.
Monitoring covers availability, performance and cost together. Budget alerts fire when a threshold is crossed, not at month end when the invoice has already been issued. We apply patches, rotate credentials, review IAM permissions on a schedule and remove access left over from finished projects, which tends to accumulate quietly until someone audits it.
FinOps and cost control
Cost optimisation is a monthly discipline rather than a one-off project. The first pass targets obvious waste: instances far larger than their measured utilisation, unattached volumes, reserved public addresses nobody uses, and snapshot chains retained indefinitely because no lifecycle policy was ever set. The second pass is structural, scheduling non-production environments to stop outside working hours and moving predictable workloads onto commitment-based discounts sized to actual baseline usage.
What matters long term is attribution. Without a tagging policy that is enforced rather than merely documented, nobody can say what a given product or team costs to run. Once every resource has an identifiable owner, budget conversations become possible. The monthly report shows spend by team and product, the trend against previous months, and a short list of specific actions for the period ahead.
Who this is for
We work with companies moving to cloud for the first time who want to avoid the expensive early mistakes; with organisations whose cloud estate has grown without governance and now needs to be brought under control; and with product teams who would rather spend their time on the application than on platform operations.
A recurring pattern among European clients is the environment assembled quickly during an urgent transition, which then hardened into permanent architecture with costs higher than what it replaced. Unwinding that carefully, without a disruptive rebuild, is a substantial part of our work.
Compliance and EU positioning
For clients in NIS2 scope we configure centralised logging with sensible retention, privileged access controls and network segmentation in line with the required technical measures. For GDPR, region restrictions are enforced technically rather than by policy alone, and processing locations are documented in a form you can hand to an auditor.
Being EU-based removes friction that international clients otherwise absorb in contracts and transfer impact assessments. Data processing agreements are straightforward, support hours overlap the European working day, and there is no third-country transfer analysis attached to giving your provider administrative access.