01
Discover
Inventory every workload, dependency and data store, and design the target architecture and cutover plan up front.
AWS · Azure · GCP migration
Cloud & AWS Migration Services
We move workloads to the cloud (or between clouds) without the 2 a.m. outage. Infrastructure is rebuilt as code, data is reconciled and verified, traffic is cut over at the edge, and the old stack is decommissioned only after a soak — so rollback is always one step away.
What you get
Zero-downtime cutover
Staged migration with the new stack verified in parallel; traffic flips at the edge only once it is proven, with instant rollback.
Rebuilt as code
Your new environment is Terraform, not click-ops — reproducible, reviewable, and cheaper to run than the lift-and-shift it replaces.
Right-sized & cost-tuned
We size instances to real usage and add autoscaling, so the migration lowers your bill instead of copying old waste.
Verified data
Databases dumped, restored and reconciled with checks before cutover — no lost rows, no surprises.
How we deliver it
02
Build the target
Stand up the destination as code, running alongside the source with no impact to production.
03
Cut over
Reconcile data, flip traffic at the edge, watch the golden signals, and keep the old stack warm for rollback.
04
Decommission
After a soak with no regressions, tear down the old environment and hand over the new one documented.
Tools we use
AWSAzureGCPTerraformKubernetesCloudflarePostgreSQLMongoDB
Frequently asked
Can you migrate without downtime?
For most workloads, yes. We build the target in parallel, reconcile data, and cut traffic over at the edge only after verification, keeping the old stack available for instant rollback.
Do you migrate between clouds, not just to the cloud?
Yes — AWS to GCP, on-prem to Azure, or consolidating multiple accounts. The approach is the same: rebuild as code, reconcile data, staged cutover.
Will the migration reduce our costs?
That is the design intent. Lift-and-shift copies existing waste; we right-size to real usage and add autoscaling, which lowers the run-rate versus both the old stack and a naive migration.
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