Enterprise DevOps, where the pipeline has to satisfy the auditor too
The usual DevOps advice assumes you can remove the approval gate. In an audited enterprise you cannot, and the useful work is making the gate cheap and making the pipeline produce its own evidence.
What changes here
DevOps in enterprise is not the same engagement
Automate the evidence, not around the control
Separation of duties, approval, and traceability are requirements that stay. A pipeline that records who approved what, against which ticket, with which artefact, satisfies them automatically — which is faster than the manual process it replaces and produces better evidence.
Golden paths beat mandates
A platform team that issues rules gets routed around. One that offers a paved path — a template pipeline, a hardened base image, a service scaffold — gets adopted because it is the easiest option. We build the path and let the mandate be a fallback.
Migration without a big-bang cutover
Enterprise estates carry dozens of pipelines of wildly varying quality. We move them in waves, starting with a team that wants to go first, so the pattern is proven and advocated internally before it reaches the teams that will resist it.
The controls a pipeline has to satisfy
These do not go away with automation. They get faster, and the evidence gets better, which is the actual argument for doing the work.
- Separation of duties between who writes a change and who approves its release
- Traceability from a production artefact back to a commit, a ticket, and an approval
- Environment parity, evidenced rather than asserted
- Access reviews covering pipeline credentials and the service accounts they use
- Retention of build and deployment records for the audit period
The work itself
Full devops pageCI/CD pipelines and release engineering
Build, test, scan, and deploy on every change, with preview environments per branch and a rollback that is one command rather than a plan.
Infrastructure as code
Terraform-defined networks, clusters, and services, reviewed like application code — so environments are reproducible and drift is visible.
Containers and Kubernetes
Images built lean and scanned, workloads sized and autoscaled, and cluster configuration in version control instead of somebody's shell history.
Monitoring, logging, and tracing
Metrics, structured logs, and distributed traces in one place, with dashboards for the paths that carry revenue and alerts tied to symptoms users feel.
On-call, incidents, and postmortems
Escalation that reaches a person, runbooks for the failures you have seen before, and blameless postmortems that produce a change rather than a document.
Pipeline security and supply chain
Dependency and image scanning, secret detection, signed builds, and least-privilege deploy credentials — enforced in the pipeline, not in a policy PDF.
Enterprise questions we get asked
Something more specific? Send us the situation and we’ll answer it straight.