Solution
Cloud Transformation
We combine migration with platform engineering, so the move to cloud delivers reliability and delivery speed rather than the same systems on rented hardware.
What is cloud transformation?
Cloud transformation is the combination of moving workloads to a cloud platform and changing how they are built and operated once there — infrastructure defined in code, automated delivery, observability, least-privilege identity and cost accountability. The migration is the visible part; the operating model change is where the benefit comes from.
Organisations that migrate without the second half tend to report higher costs and no improvement in delivery speed, because they have moved the same manually managed servers to a platform that charges by the hour.
Who this is for
Where this fits.
- Organisations still running critical workloads on owned or hosted servers
- Teams that have migrated and are not seeing the benefits they expected
- Businesses whose release cadence is limited by their infrastructure
Challenges
What tends to be in the way.
Costs higher than before the move
Over-provisioned servers were rehosted without right-sizing, so the same oversizing is now billed hourly.
Delivery no faster than it was
Deployments are still manual, so the platform changed but the bottleneck did not.
A skills gap after migration
The internal team knows the old estate well and the new platform hardly at all, leaving operations dependent on a vendor.
Governance that did not travel
Access control, network boundaries and policy were defined for the old environment and never reconstructed in the new one.
Our approach
How we run it.
Establish the landing zone
Identity, networking, governance and monitoring baselines in place before workloads arrive.
Migrate in sequenced waves
Lowest-risk workloads first to prove the approach, with a tested rollback at every stage.
Automate delivery
Infrastructure as code and CI/CD pipelines so environments are reproducible and deployments are routine.
Instrument and control cost
Telemetry, SLOs and tagging so both reliability and spend are visible and attributable from the start.
Transfer capability
Your engineers work alongside ours through delivery cycles and take ownership of documented systems.
Outcomes
What you are left with.
Deliverables and capability, described as what exists at the end rather than as business results we cannot verify.
- Environments reproducible from code rather than memory
- Deployments that are routine rather than events
- Spend attributable to a workload, team and environment
- An internal team that can operate the platform
Case studies
Related engineering work
Considering cloud transformation?
Tell us where you are now and what is blocking progress. We will come back with a sequence.