Multi-Cloud GitOps Platform
Challenge
A fast-growing engineering team operated across AWS and GCP but had no consistent deployment process. Manual provisioning led to environment drift, configuration inconsistencies, and long lead times. Developers waited days for infrastructure changes, and production incidents were often traced back to undocumented manual edits.
Architecture
The platform treats Git as the single source of truth for both infrastructure and application state. Terraform modules define cloud resources (VPCs, clusters, IAM, DNS) while ArgoCD continuously reconciles the desired Kubernetes state from Git repositories. An OPA policy engine gates all changes, ensuring compliance before anything reaches a cluster. Each pull request triggers a Terraform plan and a policy evaluation, with results posted back to the PR for review.
Implementation
Infrastructure was broken into reusable Terraform modules with environment-specific overlays managed by Terragrunt. ArgoCD was installed in each cluster and configured with project-based access control. A custom GitHub Actions workflow orchestrates plan/apply with manual approval gates for production. All state is stored in versioned remote backends with state locking. Secrets are injected via External Secrets Operator backed by AWS Secrets Manager — no secrets in Git.
Security
All cloud resources are scanned with Checkov before apply. Kubernetes manifests pass through Kyverno policies enforcing pod security standards, network policies, and resource limits. Container images are signed with Cosign and verified at admission time. IAM roles follow least-privilege with access analyzer continuously checking for unused permissions.
Monitoring
Prometheus collects cluster and application metrics, with Grafana dashboards for deployment frequency, lead time, change failure rate, and MTTR. ArgoCD sync status and health are exported to Alertmanager, with critical alerts routed to PagerDuty. A drift detection job runs hourly, alerting the team if cluster state diverges from Git.
Result
Configuration drift was eliminated across all environments. Deployment lead time dropped from days to minutes. Every infrastructure change is now peer-reviewed, policy-checked, and auditable — giving the team confidence to ship faster without sacrificing safety.
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