Case studies
Enterprise DevSecOps capability for regulated cloud delivery
Regulated energy organisation
DiUS built reusable CI/CD pipeline patterns and enabled adoption across teams through onboarding, governance, and a community of practice.
At a glance
A regulated organisation in the energy sector needed to deliver new digital services while modernising a wide portfolio of systems. Teams were moving towards microservices, cloud services and infrastructure as code, but build and release practices were inconsistent. Some pipelines were bespoke, controls varied between projects, and onboarding new teams or service types required repeated effort.
DiUS partnered with the organisation’s digital delivery group to establish an enterprise DevSecOps capability centred on reusable CI/CD pipeline patterns and standard application patterns. The aim was to reduce variation between teams, improve reliability over the lifecycle of services, and make security and code quality checks part of the default delivery path. The capability was proven by building and deploying new services required for a major market program, and it created a practical adoption path for other teams to follow.
The challenge
When autonomy turns into fragmentation
The organisation operates critical services where change needs to be predictable, traceable and recoverable. At the same time, the market environment was evolving quickly, driving new digital services and policy-linked delivery deadlines. That created pressure to move faster without weakening assurance.
The organisation wanted autonomous product teams, with each team responsible for building, deploying and operating its services. In a large enterprise, that ambition can drift into fragmentation. Teams solve similar problems in different ways, pipelines proliferate, and support effort grows as standards and tooling evolve.
The digital delivery group set out to introduce a set of enterprise application patterns supported by modular CI/CD pipelines that could be reused, upgraded, and supported over the lifetime of services. The goal was not to centralise delivery, but to give teams a trusted path to production that met governance expectations, worked across multiple environments, and reduced repeated infrastructure work.
Security and code quality also needed to be embedded by default. In a regulated setting, relying on each project to wire in the right controls creates uneven risk and slows delivery when assurance needs to be re-established.
What we did
Built an enterprise DevSecOps foundation teams could adopt
DiUS started by establishing core enterprise application pipeline patterns against a high-value delivery stream. The first reference implementation supported a microservice API deployed to Kubernetes, reflecting a common production shape. The intent was to create a reusable template teams could adopt and extend, rather than a one-off pipeline that would drift as soon as other projects got involved.
These patterns encoded delivery standards into the pipeline itself, so teams did not need to reinvent them project by project. That included repeatable builds, consistent artefact versioning, and a trunk-based workflow using pull requests and peer review to keep change controlled and reviewable.
DiUS then extended the approach so the pipeline patterns aligned with the organisation’s broader set of standard service shapes, including non-microservice workloads such as data and analytics delivery. This ensured the enterprise patterns could support the reality of a mixed portfolio, not just one dominant architecture.
Security and quality controls were embedded into the default path. Code quality analysis and dependency vulnerability scanning were part of the pipeline, not optional add-ons. This changed the experience for delivery teams. Security checks were no longer a separate task late in the lifecycle, and quality gates did not vary by project. Teams could move faster while still meeting governance expectations because the baseline controls were consistent and repeatable.
As adoption expanded, DiUS worked alongside teams to onboard services and adapt the patterns to real constraints. A short assessment step helped clarify each team’s delivery shape, environment needs, and pipeline maturity, which then informed a practical rollout sequence. Feedback from teams was folded back into the shared patterns, improving the templates through use rather than policy alone. Over time, this created a service catalogue in code that teams could use as a starting point for common delivery scenarios.
To keep the capability sustainable, DiUS supported the formation of a community of practice where senior engineers could contribute changes, prioritise enhancements, and maintain alignment with agreed standards. This created a governed contribution model without centralising ownership, and it gave the organisation a way to evolve the pipeline library as platforms, policies and delivery needs changed.
Results
A repeatable path to production, proven on a major program
The organisation now has a repeatable delivery foundation that teams can build on. Enterprise pipeline patterns are reused and improved over time rather than recreated per project, which has reduced drift in tooling and approach across the portfolio. Security and quality checks are applied consistently because they are part of the standard path, which has lowered the effort required for teams to meet governance expectations on new work.
Adoption has also become easier. New teams can start from established application and pipeline patterns that reflect how the organisation deploys in production, across multiple environments and service types. The community of practice provides a practical mechanism for prioritising improvements and managing change, keeping the capability close to delivery while maintaining standards.
Most importantly, the approach has been proven under delivery pressure. The enterprise pipelines were used to build and deploy new services required for a major market program. The organisation has since positioned the patterns as the default approach for onboarding new delivery work, while legacy pipelines are progressively migrated into the enterprise model.