Cloud migration with a rehearsed cutover and a way back.
Moving infrastructure is mostly about what nobody wrote down: hidden dependencies, data that is hard to move and costs that change shape. We inventory what runs, design the target, write it as code and rehearse the cutover and the rollback before production moves.
DIRECT ANSWER
Cloud migration moves agreed workloads into a cloud, between providers or out to self-hosted infrastructure. The engagement covers inventory, target architecture, infrastructure as code, a rehearsed cutover with rollback and visibility into what the new setup costs.
Best for
- Teams moving from hand-managed servers to a reproducible setup
- Companies changing providers or bringing workloads back to self-hosting for cost or control
Consider another approach
- Hardening an environment you plan to keep
- Rewriting the application itself during the move
Decide why you are moving before deciding where
Turn what runs today into a target you can rebuild
Inventory and dependencies
Workloads, data stores, DNS, certificates, scheduled jobs, external integrations, IP allowlists and the people who own each one.
Target architecture
Choose managed services, containers, virtual machines or self-hosted servers per workload, with the trade-offs in cost, lock-in and operating effort written down.
Infrastructure as code
Describe the target environment in version-controlled code (for example Terraform or OpenTofu) so it can be reviewed, rebuilt and handed over.
Cost visibility
Tag resources, set budgets and alerts, and compare the expected bill with the old setup. An estimate stays an estimate until real traffic runs.
Rehearse the cutover and the rollback
Illustrative acceptance: a rehearsed switch on a staging copy
Plan, migrate in waves, hand over
Assessment and plan
Receive the inventory, target options with trade-offs, a wave plan and a cost estimate with its assumptions.Build and migrate
Receive the infrastructure code, migrated workloads and a verification record for each cutover.Handover
Receive runbooks, the access model and cost reports. Who operates what afterwards is agreed explicitly; Wavect does not offer a 24/7 operations center or an uptime SLA.
Bring the bills, the architecture and someone who can approve changes
Infrastructure moves in existing engineering work
Hyperstate AI documents moving a hand-deployed, GPU-heavy single server to dockerized, orchestrated services and replacing self-managed, compute-heavy libraries with hosted alternatives. Twinsoft AI documents Terraform infrastructure built in parallel with a pilot-ready rebuild. IKB documents extending the Kubernetes cluster that runs ChirpStack, as part of the engineering inside IKB’s own build, with a complete handover to IKB’s team. None of these is a full provider-to-provider data-center move; they are adjacent infrastructure delivery, not a promise of the same outcome.
Split a GPU-heavy monolith into orchestrated services and swapped self-hosted ML libs for scalable alternatives. Latency and cost …
Took a vibe-coded prototype to enterprise pilot-ready, no shortcuts.
Smart City IoT for Innsbruck: extended and scaled the LoRaWAN infrastructure, evaluated and integrated multi-vendor devices, wrote …
These are selected projects, not our full portfolio. We have shipped 100+ products since 2018.
Questions before you start
Scope your cloud migration
Describe where the workloads run today, where they should go and why. Keep credentials and private system details out of the first enquiry.