An enterprise software company is designing an automated testing and validation procedure to verify cloud infrastructure readiness before deploying microservices into newly provisioned private Google Kubernetes Engine (GKE) clusters across multiple GCP projects. The validation procedures must run automatically within a central CI/CD pipeline located in an administrative VPC and fulfill three key requirements: (1) prevent deployment failures caused by regional resource limits, (2) enable central CI/CD runners to perform health-check validation on private cluster control planes, and (3) prevent state corruption during concurrent pipeline executions. Which testing and validation strategy should the Cloud Architect implement?
- Implement automated pre-flight pipeline checks using the Cloud Quotas API to verify regional resource limits prior to provisioning, configure Terraform to use a Cloud Storage backend with object locking and versioning enabled, and add the CI/CD pipeline administrative VPC IP ranges to the GKE control plane authorized networks.Answer
- BStore the Terraform state files inside the ephemeral build container workspace during execution, configure automated pipeline retries when quota errors occur, and temporarily disable GKE control plane authorized networks while running test suites.
- CGrant the CI/CD deployment service account the Service Account Admin role across target projects to ensure broad access during validation, store state files in a standard Cloud Storage bucket without concurrency locking, and route private cluster validation traffic through public internet endpoints.
- DExecute infrastructure provisioning using automated scripts, configure Cloud Logging alert policies to notify administrators when regional quota thresholds are exceeded during deployment, and request quota limit increases after deployment failures are detected.
Answer
The correct strategy requires implementing automated pre-flight checks against the Cloud Quotas API before triggering IaC pipelines, utilizing remote Cloud Storage backends with state locking and versioning for Terraform state management, and configuring GKE control plane authorized networks to allow access from the administrative CI/CD VPC IP range.
A robust technical testing and validation procedure must verify environmental prerequisites before applying infrastructure changes and establish secure, lock-safe validation access. Using the Cloud Quotas API for pre-flight validation guarantees that required CPU, IP, and instance quotas exist before provisioning starts. Configuring Cloud Storage with object locking ensures that concurrent pipeline runs cannot corrupt the IaC state. Finally, authorizing the administrative VPC IP ranges in GKE control plane authorized networks allows CI/CD runner nodes to perform private endpoint validation tests without exposing the master to the public internet.
Step-by-Step Solution
Key Concept
Developing Procedures to Test and Validate Technical Solutions
Estimated Time:2m 0s