Internal developer platform standardizing build, test, security scanning, and deployment pipelines across 45 repositories with policy-as-code and self-service provisioning.
Engineering teams maintained 45 repositories with inconsistent pipeline configurations, manual security reviews, and no standardized deployment rollback procedures. Mean lead time for changes exceeded 12 days, and production incidents frequently traced to skipped test stages or untested configuration drift. I led the design of an internal developer platform providing reusable pipeline modules, Terraform landing zones, and a service catalog for self-service environment provisioning. The framework enforces policy-as-code gates while preserving team autonomy over application code and release cadence.
Inconsistent CI/CD practices caused 30% of production incidents to involve deployment-related regressions or configuration errors. Security scanning was opt-in, leaving 18 repositories without container vulnerability checks for over six months. Onboarding a new service to production required 3–4 weeks of platform team hand-holding. Infrastructure drift between staging and production environments reproduced bugs that passed all pre-production tests.
Golden-path pipeline templates in Azure DevOps and GitHub Actions encapsulate build, unit test, integration test, SAST, container scan, and deployment stages with configurable extension points. Terraform modules provision namespace-scoped Kubernetes resources, databases, and messaging components from a service catalog portal. OPA Gatekeeper policies block deployments failing image signature verification or missing resource limits. Argo CD manages GitOps sync with automated rollback on failed health checks post-deployment.
The platform separates concerns into a control plane (pipeline orchestration, policy engine, service catalog API) and a data plane (AKS clusters per environment tier). Shared pipeline modules are versioned SemVer packages consumed via template references, with changelog-driven migration guides for breaking updates. Ephemeral preview environments spin up per pull request using Helm chart parameterization and auto-destroy after merge. Centralized observability exports DORA metrics—deployment frequency, lead time, change failure rate, and MTTR—to leadership dashboards.
Key interfaces and system views from the engagement.
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