Cloud Migration & DevOps

The Challenge

Legacy on-premise infrastructure was expensive, fragile, and hard to scale.

Our Solution

We containerised the stack, migrated to the cloud with infrastructure-as-code, and set up automated pipelines and monitoring.

How we approach this kind of build

The migration is sequenced by risk rather than by architecture diagram. Stateless services and background jobs move first, because they are easy to run in parallel and harmless to roll back. Databases move last, behind replication, with the old system still able to take over until the new one has proven itself under real load.

Containerising the stack comes before moving it. That way the application runs identically on a developer machine, in staging, and in production, and the migration becomes a question of where containers are scheduled rather than a rebuild. Configuration moves to environment variables and a secrets manager so nothing environment-specific is baked into an image.

Infrastructure is defined in Terraform from the first day, which is what makes the cutover reversible and the cost work safe. Deployment runs through automated pipelines with health checks and automatic rollback, and observability — metrics, structured logs, traces, and alerting that reaches a human — goes in before the first production workload moves, not after.