A logistics company depended on a set of applications that tracked shipments, routed vehicles, and gave customers visibility of their goods, but those applications ran as large monoliths on fixed servers that were slow to change and fragile to release. In a business where customer expectations and routing logic shift constantly, the inability to release quickly had become a competitive problem. This case describes how the firm modernised on OCI Kubernetes Engine and rebuilt its delivery around containers, and the faster, steadier releases that followed.
It is part of our OCI case studies and benchmarks cluster, and it shows the platform and delivery thinking from our DevOps work applied to a real modernisation. The client is anonymised by sector.
The situation
The firm's core applications were monoliths: large, tightly coupled codebases that had grown over years until any change touched many parts at once. Releases were infrequent and stressful, because a single deployment carried the whole application and a fault anywhere could take the system down. The servers were sized for peak load and idle the rest of the time, and scaling meant buying more fixed capacity rather than flexing with demand.
The business consequence was slowness. New features that customers wanted, or changes to routing logic that would save money, waited in a queue because releasing was risky and rare. The technology had become a brake on the business, and the leadership recognised that modernising how applications were built and shipped, not just where they ran, was the real goal.
What we did
The work began by establishing OCI Kubernetes Engine as the runtime platform, with the cluster, networking, and supporting services defined as code so the platform itself was repeatable. Rather than attempt a risky big bang rewrite, the applications were modernised incrementally: the most change heavy parts were carved out of the monolith into containerised services first, where the benefit of independent release was greatest, while the rest continued running until it was their turn.
Alongside the platform, the delivery process was rebuilt so that each containerised service had its own pipeline, could be tested in isolation, and could be released without redeploying the whole application. This combination, a container platform on OKE plus per service pipelines, is what turned infrequent stressful releases into frequent routine ones. The platform without the delivery change would have moved the problem rather than solved it.
The OCI architecture used
The platform was built on OCI Kubernetes Engine, with the cluster spread for resilience and autoscaling configured so capacity grew and shrank with demand rather than being fixed at peak. Container images were stored in the OCI registry, networking followed a secure segmented design, and the supporting observability was built in so the team could see how services behaved in production. Everything was defined as infrastructure as code, so the platform could be rebuilt or replicated reliably.
This mirrors the design in our OKE solution, where the cluster is a managed foundation and the value comes from how applications and delivery are built on top of it. The autoscaling in particular changed the cost profile, because the firm no longer paid for peak capacity around the clock, paying instead for what each workload actually used.
| Before | After on OKE | Effect |
|---|---|---|
| Monolith, one big release | Containerised services | Release one part without the rest |
| Infrequent, risky deploys | Per service pipelines | Frequent, routine releases |
| Fixed peak sized servers | Autoscaling cluster | Capacity follows demand |
| Fault takes whole app down | Isolated services | Failure contained to one service |
The measurable result
Release frequency rose sharply as services gained their own pipelines and could ship independently, and the releases themselves became routine rather than feared, because each one carried a single small service rather than the whole application. Faults were contained, so a problem in one service no longer threatened the entire platform, and the business could finally change its applications at the pace its market demanded.
Cost improved too, because autoscaling replaced fixed peak capacity, but the headline gain was speed and reliability of delivery. The firm went from waiting weeks to release a change to shipping changes whenever they were ready, which is the modernisation that mattered. The cost dimension echoes our manufacturer cost case, while the platform approach connects to the wider case studies pillar.
Modernisation is delivery, not just runtime
The lesson of this engagement is that moving applications onto a container platform delivers little on its own. The gains came from changing how the applications were built and shipped, breaking the monolith where it helped most and giving each service an independent path to production. OKE was the foundation, but the delivery rebuild was the modernisation.
This is the principle behind our DevOps and IaC solution: the platform and the delivery process are modernised together, because either one alone leaves most of the value on the table. It is a theme that recurs across our case studies, where the technology choice matters less than how the organisation uses it.
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