AI/ML SaaS
A full AWS to GCP move with no maintenance window your customers would notice and no cost surprise waiting on the other side. We moved 100% of workloads with zero downtime and cut cloud spend 40%.
An enterprise SaaS company had to move entirely from AWS to GCP, and a maintenance window was not an option their customers would tolerate. A cost surprise on the far side was just as unacceptable. Both risks had to be engineered out before the first workload moved.
How we took it on.
- 01
Decoupled state, config, and routing so every workload became independently switchable.
- 02
Ran the new environment in shadow with mirrored traffic before any cutover.
- 03
Right-sized and planned commitments as part of the move, not after.
What shipped.
Terraform-defined GCP landing zone, segmented and policy-guarded.
Shadow-then-shift cutover with rollback at every step.
Spend observability to hold the cost gains.
The outcome, in plain terms.
Zero downtime across the entire migration.
100% of workloads moved.
40% reduction in cloud spend, sustained.
- Terraform
- Google Cloud
- AWS
- Kubernetes
- Well-Architected
- SOC 2
- FinOps
A migration with no window and a smaller bill. We did not believe both were possible until we saw it.