GCP DevOps Project – Flask → Docker → Cloud Build → GKE

This repo demonstrates a minimal, production‑style CI/CD pipeline on Google Cloud:

• App: Python/Flask (app.py)
• Container: Docker (Dockerfile)
• Registry: gcr.io/kodekloud-gcp-training-472323/... (GCR, Artifact Registry–backed)
• Cluster: Google Kubernetes Engine Standard cluster gcp-devops-project in zone us-central1-a
• Envs: two Kubernetes namespaces → gcp-devops-dev, gcp-devops-prod
• CI/CD: 2 Cloud Build triggers (dev/prod) running separate cloudbuild.yaml which build, push, and deploy via gke-deploy
• Security: dedicated Cloud Build service accounts per env; least‑privilege IAM; namespace‑scoped Kubernetes RBAC