cloud migration
Legacy to cloud migration, rewritten cloud-native and live in 30 days
The racks, the mainframe partition and the VMs someone built by hand in 2014 all go, and your code runs rewritten on Kubernetes in AWS, Azure, GCP or your own cloud. Engineers with 25+ years in production deliver it in 30 days.
Within 48 hours you get a fixed price and a one-page target architecture with the cutover date on it.
Hand-built VMs, a mainframe partition, cron on one box and a deploy runbook in somebody's head.
- own racksdata centre lease
- VMsconfigured by hand
- deploysmanual · weekends
- backupstape
30 days, with the code rewritten for the cloud on the way over
Containers on Kubernetes, infrastructure in Terraform, a pipeline that deploys every merge, alerts that fire.
- KubernetesAWS · Azure · GCP
- Terraforminfrastructure as code
- CI/CDevery commit
- observabilityOpenTelemetry
From racks to cloud in 30 days
- 01days 1–4
Map what runs where
Every server, job, port, file share and hard-coded IP address, read from the code and from the hosts themselves. You get the target architecture and a price per phase.
- 02days 3–10
Build the landing zone
Accounts, networks, IAM, Kubernetes clusters and secrets, all written in Terraform and reviewed like code. AWS, Azure, GCP or your private cloud, air-gapped if your rules demand it.
- 03days 8–24
Rewrite and replay
Services are rewritten to run in containers, with config from the environment and logs shipped to your observability stack. The parity harness replays recorded production traffic until old and new agree.
- 04days 22–30
Move traffic, power down
Traffic shifts in steps behind a load balancer, with the old hosts ready as a fallback. When the last request lands in the cloud, the racks are switched off.
Who does what in the move
Inventory of hosts, jobs and dependencies
Platform
Code, crontabs, configs and live network connections read together, so the forgotten nightly job is on the list from day one.
Rewriting services to run in containers
Platform
Local file writes, sticky sessions and hard-coded hostnames replaced, then reviewed as pull requests.
Target architecture and cloud choice
Engineer
Managed database or self-run, which region, how much capacity to reserve. Decided by someone who has paid a cloud bill.
Terraform, CI/CD and observability
Both
Modules and pipelines generated from our templates, then shaped by engineers to your rules and your on-call rota.
Security and network boundaries
Engineer
IAM, private networking, secrets and audit logging built to the standard your security team signs.
Traffic cutover
Both
Replay and diff are automated. The go decision and the rollback point are set together with your team.
Every piece of infrastructure lands in your Git repository as Terraform your team can change from the first day.
Why these engineers move you
Our engineers have been running production systems for more than 25 years, since long before anyone called a rented server a cloud. They have taken mainframe batch, hand-built VM fleets and apps that only ran on one blessed host onto Kubernetes, with Terraform, pipelines and alerting the new owners could run on day one. When you need to leave your racks without a bad night, they are the best people for the job.
Fixed price per phase, cutover date in the contract, and the parity report decides acceptance. The Terraform, the pipelines and the rewritten code are yours from the first commit.
What CTOs ask before the move
Why rewrite when we could lift the VMs as they are?
A lifted VM keeps its old over-provisioning and bills it by the hour. Rewritten services scale with traffic and cost what they use. The rewrite fits in the same 30 days, so you pay for the move once and the savings start with the first bill. Get a quote and compare the two numbers yourself.
Can mainframe workloads really run in the cloud?
Yes. COBOL batch is rewritten in Go and runs as scheduled jobs on Kubernetes, CICS transactions become services, and VSAM and DB2 data moves to PostgreSQL. The parity harness checks every output against the mainframe before the partition retires. Put the batch schedule in the request and the price covers all of it.
We are regulated. Can this stay inside our own data centre?
Yes. We deliver the same stack onto your private cloud, or air-gapped on our own hardware with our own models inside your perimeter, and nothing leaves it. Kubernetes, Terraform and observability work the same way they would on AWS. Mention the constraint in the request and it goes into the price.
Who runs it after go-live?
Your team, with runbooks, dashboards and alerts that already fired during the cutover rehearsal. Everything lives in Git and deploys through a pipeline your engineers have used for days before the switch. If you want us on call after go-live, that is one more line in the same contract. Ask for it in the quote.
Which cloud should we choose?
The one your team and your contracts already favour. We build on all of them, and Terraform keeps a later move to another provider realistic. If you have not decided, our engineers recommend one in the 48-hour quote, with the expected monthly bill next to it. Get a quote and decide with numbers in hand.
Switch off the racks
List your servers and what runs on them, today. A fixed price and a cutover date arrive within 48 hours, and 30 days after you approve, production runs in the cloud and the racks go dark.
A spreadsheet export from your inventory is plenty. The written price comes back from an engineer.