GCP Professional Cloud Architect Practice Question

A fintech company is modernizing its trading platform on Google Cloud. To align with the operational-excellence pillar of the Google Cloud Well-Architected Framework, the architects want every release to reach production with minimal human touch while guaranteeing that unhealthy changes are rolled back automatically and every change is traceable. Which approach best fulfills the pillar's goal of running systems that are automated, manageable, and reliable?

  • Use Cloud Build for CI but disable liveness and readiness probes in production to reduce pod restarts, relying on SREs to restart pods when alerts fire.

  • Migrate microservices to unmanaged Compute Engine VMs with startup scripts and rely on engineers SSHing for patches and configuration changes.

  • Adopt a GitOps model where Cloud Build automatically applies version-controlled Kubernetes manifests to dev, staging, and production clusters, using liveness probes and automatic rollbacks on failed health checks.

  • Keep the existing CI pipeline but have an operator run kubectl apply manually in each environment after change-approval meetings.

GCP Professional Cloud Architect
Ensuring solution and operations excellence
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