Self-hosted servers quietly drain money and ops hours every month. We migrate legacy code to modern cloud — managed databases, containerized apps, automated deploys — so you spend less on infrastructure and more on shipping.
On-prem servers → managed cloud
managed cloud
low-downtime cutover · −44% infra cost
Monthly infrastructure cost
To provision an environment
Uptime after replatforming
Cutover downtime
Why replatform
Replatforming captures the cost, reliability, and scale gains of the cloud without rewriting your business logic — the pragmatic middle path.
Always-on servers and idle capacity quietly drain budget. Managed, autoscaling services bill for what you actually use — and stop charging you to babysit hardware.
We package the app in containers with Infrastructure as Code, so environments are reproducible and you're never locked to one machine — or one engineer's memory of how it's set up.
Managed databases, queues, and autoscaling absorb the patching, backups, and capacity planning your team used to do by hand.
Live replication and a planned DNS switch mean the move happens in a quiet window with a rollback ready — not a weekend-long outage.
What you walk away with
You don't just land in the cloud — you land with the artifacts that keep the new environment cheap, reproducible, and safe to change.
From scope to cutover
We pick the cloud and managed services that fit your stack, compliance, and cost profile, and baseline current spend.
The app is packaged in containers and the environment is captured as Infrastructure as Code — reproducible from day one.
Live replication syncs source and target databases while verification queries confirm parity before any cutover.
Uptime and performance tests pass, then a low-downtime DNS cutover moves traffic — with rollback ready if needed.
Replatforming, in production
A field-services company ran its platform on aging on-prem servers — slow to provision, expensive to keep, and a single point of failure. We replatformed it to AWS.
Tideworks Field Services
Field-services software · USA
Monthly infra bill
To spin up an environment
Uptime (was 99.2%)
Data lost at cutover
“Our 'data center' was two servers in a closet that we prayed over every quarter. pyronix containerized everything and moved us to AWS over a weekend — the bill dropped almost in half and provisioning went from weeks to minutes.”
Straight answers
Cloud replatforming moves a legacy application to the cloud with targeted optimizations — typically containerizing the app and swapping self-hosted components for managed cloud services like databases and queues — without rewriting the core business logic. It sits between a basic lift-and-shift and a full re-architecture, capturing most of the cost and reliability gains for a fraction of the effort.
Rehosting is a pure lift-and-shift: VMs move to the cloud unchanged. Replatforming adds minor modernization — packaging the app in containers, adopting managed databases and autoscaling, and adding CI/CD — so you actually reduce running cost and ops effort instead of just relocating the same problems.
Usually, yes. Replacing always-on self-hosted servers with managed, autoscaling services eliminates idle capacity and the hours your team spends maintaining infrastructure. Most clients see a meaningful drop in their monthly bill plus a large reduction in operational toil — savings that often fund the next modernization wave.
We set up live database replication between the source and the target managed database, run verification queries to confirm parity, and then perform a low-downtime DNS cutover during a quiet window. Rollback is planned in advance, so a migration is reversible until you're confident in the new platform.
We work across AWS, Azure, and Google Cloud, using their managed services — ECS/EKS, RDS, Cloud SQL, App Service, and equivalents — plus Infrastructure as Code (Terraform) so the environment is reproducible. We recommend a target based on your existing skills, compliance needs, and cost profile.
Send us what's running on-prem and your current bill. We'll come back with a target architecture, a cost projection, and a low-downtime cutover plan.
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