Migrating a high-volume transaction platform to the cloud, with zero downtime
A healthcare payer platform moving a large, continuous volume of transactions, lifted off aging on-prem hardware onto reproducible cloud infrastructure without a single disruptive cutover.
- Zero
- Downtime during the migration
- Full
- Transaction volume maintained throughout
- Self-service
- Infrastructure reused by other teams
- Reversible
- Every migration step, in minutes
A critical platform on hardware nobody wanted to touch.
Challenge
The platform processed a large, continuous volume of transactions on aging on-prem infrastructure. Capacity was fixed, hardware refresh cycles were looming, and the environments that were supposed to mirror production had drifted apart over years of manual changes.
Constraint
Nothing could stop. Payment and claims traffic ran continuously, so there was no maintenance window large enough for a lift-and-shift, and no appetite for a big-bang cutover on a regulated, money-moving system.
Cost of inaction
Infrastructure spend was climbing well past what the platform's usage justified, releases required manual coordination and out-of-hours risk, and every new internal team waiting on an environment added weeks to their own delivery timeline.
Reproducible infrastructure first, then a migration that could be reversed.
Each step shipped on its own and was safe to stop at. Nothing depended on a single all-or-nothing weekend.
Infrastructure as code foundation
Every network, cluster, and data service was defined in code before anything moved, so dev, test, staging, and production could be rebuilt identically instead of being repaired by hand.
Automated CI/CD pipelines
Manual release nights were replaced with automated, gated deployments — build, test, promote, and roll back — so shipping stopped depending on who was awake.
Managed, scalable data layer
The database tier moved to a managed, horizontally scalable service with replication and point-in-time recovery, sized to real traffic rather than to peak-forever on-prem capacity.
Containers & service decomposition
The monolithic deployment was broken into containerized services, letting the highest-traffic paths scale independently instead of scaling the whole platform to serve one hot component.
Incremental, reversible cutover
Traffic shifted workload by workload behind routing controls, with the legacy path kept warm until each slice proved itself. Any step could be reversed in minutes without a customer noticing.
Reusable IaC library for self-service
The patterns were packaged into a shared module library so other internal teams could stand up compliant environments themselves, without a ticket queue or a platform-team bottleneck.
Infrastructure cost came down sharply — with nothing taken offline.
Infrastructure spend came down sharply while the platform kept processing its full transaction volume throughout the migration.
Operationally
Deployments became routine and automated instead of scheduled events, and environments could be rebuilt from code rather than restored from memory.
Financially
Infrastructure spend now tracks actual demand instead of a hardware purchase made years earlier, so the savings compound every year capacity would otherwise have sat idle.
Structurally
The reusable IaC library turned environment provisioning into self-service, so the platform team stopped being the constraint on everyone else's roadmap.
If a migration you can't afford to get wrong is sitting on the roadmap, we can scope it honestly.
A 30-minute call is enough to tell you whether the move is worth making now — and we'll say so if it isn't.
Book a 30-min assessment