A national logistics operator was held back by a monolith that took weeks to release. We built a container platform on OCI Kubernetes Engine, and the release cycle dropped from weeks to hours.
The operator ran its routing and tracking platform as a single large application on virtual machines. Every release meant a coordinated outage, a manual deployment, and a long weekend of testing, so the business shipped changes only a few times a year. When demand spiked at peak season the whole application had to scale as one block, which wasted capacity and still left gaps under load.
They wanted to release small changes safely and often, scale the parts that needed it without scaling everything, and stop paying for headroom they only used a few weeks a year.
The platform separated the things that change often from the things that stay stable, so releases got small and scaling got precise. The cost came down because capacity now follows demand instead of sitting idle.
| Layer | What we used | Why |
|---|---|---|
| Orchestration | OCI Kubernetes Engine (OKE) | A managed control plane so the team runs apps, not Kubernetes |
| Compute | Mixed node pools with autoscaling | Steady baseline plus burst capacity only when peak demand arrives |
| Delivery | Automated build and deploy pipeline | Small frequent releases with rollback built in |
| Observability | Metrics, logs, and tracing per service | A bad release is visible in minutes, not after a customer calls |
Breaking a monolith into services that deploy and scale on their own.
See modernizationThe run model that keeps the platform healthy after go live.
See managed servicesWe anonymise every client by sector, but the method behind these results is the same one we would bring to your estate. Book an assessment and get a written plan with options and a price.