Manual deployments do not scale — but automation without guardrails creates outages at machine speed. We implement pipelines and infrastructure-as-code with approval gates, environment parity checks, and rollback paths built in.
- Pipeline assessmentReview current build, test, and release steps; identify manual handoffs and configuration drift.
- StandardisationTemplate pipelines, IaC modules, and environment promotion rules agreed with security.
- Policy integrationAutomated checks for tagging, encryption, and vulnerability thresholds before production deploy.
- Operational handoverOn-call playbooks for pipeline failures; metrics on deployment frequency and failure rate.
Automation should reduce toil and deployment risk — not create a parallel shadow pipeline nobody trusts. We build pipelines your teams own, with clear promotion gates and artefact traceability from commit to production.
Infrastructure as code, policy checks, and automated testing are integrated into workflows that match your change advisory board requirements — so speed and governance are not traded off blindly.
“Deployment frequency went from monthly to weekly with zero increase in rollback rate. The pipeline templates are now standard across six product teams.”
Frequently Asked Questions
Which CI/CD platforms do you work with?
Azure DevOps, GitHub Actions, GitLab CI, Jenkins, and cloud-native pipeline services — we adapt to your existing toolchain where possible.
How do you approach infrastructure as code?
Modules with clear interfaces, state management strategy, and drift detection. We document ownership and review processes for IaC changes.
Can you automate compliance checks in pipelines?
Yes — policy-as-code (OPA, Sentinel, native cloud policy) can block non-compliant deployments before they reach production.
What about secrets management?
We integrate vault solutions and short-lived credentials; secrets are never stored in repositories. Rotation procedures are documented.
Do you implement GitOps?
Where appropriate. GitOps fits Kubernetes-heavy estates; traditional pipelines may suit legacy application patterns better — we recommend per context.
How long does a typical automation engagement take?
Foundation pipelines in 4–6 weeks; broader platform rollout depends on application count and test maturity — usually phased per team or product line.