A financial analytics enterprise hosts a critical transaction processing workload on Google Cloud across a primary region (us-central1) and a disaster recovery target region (us-east4). The application uses Compute Engine Managed Instance Groups (MIGs) and Cloud SQL, with a business mandate requiring a Recovery Time Objective (RTO) of 45 minutes and a Recovery Point Objective (RPO) of 15 minutes. During an unannounced DR validation drill, the automated failover process failed: scaling up the secondary MIG in us-east4 was rejected due to hitting default regional CPU quota limits, and application traffic was diverted to us-east4 before database replica promotion completed, causing widespread write transaction errors. Which disaster recovery validation procedure should you establish to prevent these failures in future drills?
- Automate pre-drill validation tasks to audit and reserve regional resource quotas in us-east4, and enforce step-by-step dependency gating that verifies database replica promotion and health checks before updating DNS and load balancer traffic routing.Answer
- BConfigure the automated DR script to request dynamic regional CPU quota increases at the moment failover starts, and immediately update global DNS records to begin traffic migration to achieve the minimum RTO.
- CRe-architect the secondary DR environment into a cold-standby strategy that restores Cloud SQL instances from daily Cloud Storage export snapshots upon failover initiation to circumvent regional quota constraints.
- DMigrate the primary Cloud SQL database to a single-region Cloud Spanner instance to eliminate database replica promotion delays during DR validation without modifying regional compute quota management procedures.