Project: End-to-End GitOps Deployment Pipeline
Business Scenario
Your company is migrating to a microservices architecture. The manual deployment process is causing frequent outages and delaying feature releases. You are tasked with designing and implementing a robust, fully automated CI/CD pipeline that incorporates security scanning and zero-downtime deployments.
Requirements
- Source Code: Two distinct microservices (a frontend and a backend API).
- CI Pipeline: Must use GitHub Actions. Must build, test, and scan container images using Trivy. Must push to a container registry.
- CD Pipeline: Must use GitOps principles. A separate configuration repository should hold the Kubernetes manifests.
- Progressive Delivery: Implement a Canary deployment strategy for the backend API using Argo Rollouts.
- Rollback: Simulate a failed deployment (e.g., high error rate) and ensure the system automatically rolls back.
Implementation Steps
- Setup the application repository with Dockerfiles and basic tests.
- Setup the infrastructure repository with Kubernetes manifests (Kustomize or Helm).
- Write GitHub Actions to bridge the two repositories (updating image tags in the infra repo upon successful CI).
- Deploy ArgoCD and Argo Rollouts to your cluster.
- Configure Prometheus metrics to monitor the canary release.
Verification
A successful project will demonstrate an end-to-end flow: a developer pushes code, the image is built/scanned, the infra repo is updated, ArgoCD syncs the change, and Argo Rollouts manages a safe canary deployment.