A cloud migration that cut deployment time from days to minutes.

The challenge

A large enterprise client was running its core applications on aging on-premise servers, with deployments handled manually by a single engineer who had become an unplanned single point of failure. A deployment took the better part of a day and carried real risk of extended downtime if anything went wrong mid-release.

The approach

We proposed a phased migration rather than a single cutover — moving lower-risk services to the cloud first to validate the new infrastructure and build the team's confidence in it, before migrating the core systems the business depended on most heavily. Alongside the migration, we built a CI/CD pipeline so deployments no longer depended on one person's manual process.

What we built

A containerized infrastructure on AWS using Docker and Kubernetes, with GitHub Actions automating build, test, and deployment steps that previously happened by hand. We also put monitoring and alerting in place so issues surfaced automatically instead of being discovered by customers first.

The result

Deployment time dropped from most of a day to a matter of minutes, and deployments became routine enough to happen multiple times a week instead of being a dreaded, risky event. The single-point-of-failure risk was eliminated — any engineer on the team can now ship a deployment safely.