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A retail enterprise is migrating its core ecommerce platform from a fixed-capacity on-premises data center to Google Cloud to support rapid international market expansion. The workload experiences unpredictable traffic spikes during global flash sales, cannot tolerate transactional data loss, and must maintain high availability even during a complete regional outage.
Which architecture should the enterprise deploy to achieve elasticity, low-latency routing, and multi-region resilience?
A single-region deployment using high-capacity Compute Engine instances with zonal hardware reservations, fronted by a Regional External Load Balancer with Cloud CDN enabled
Regional External Application Load Balancers fronting stateful Managed Instance Groups (MIGs) in each region with GeoDNS routing, backed by Cloud SQL with cross-region read replicas
A Global External Application Load Balancer fronting unmanaged instance groups distributed across multiple zones, backed by zonal Persistent Disks replicated via scheduled snapshot policies
A Global External Application Load Balancer fronting regional stateless Managed Instance Groups (MIGs) with autoscaling enabled across multiple regions, backed by a multi-region Cloud Spanner database
A single-region deployment using high-capacity Compute Engine instances with zonal hardware reservations, fronted by a Regional External Load Balancer with Cloud CDN enabled
Regional External Application Load Balancers fronting stateful Managed Instance Groups (MIGs) in each region with GeoDNS routing, backed by Cloud SQL with cross-region read replicas
A Global External Application Load Balancer fronting unmanaged instance groups distributed across multiple zones, backed by zonal Persistent Disks replicated via scheduled snapshot policies
A Global External Application Load Balancer fronting regional stateless Managed Instance Groups (MIGs) with autoscaling enabled across multiple regions, backed by a multi-region Cloud Spanner database
This architecture implements the Google Cloud global deployment archetype, combining a globally distributed compute layer with a globally coordinated, strongly consistent database tier.
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StudyCertsautohealing).This approach fully replaces rigid, on-premises fixed-capacity constraints with cloud-native elasticity and resilient multi-region infrastructure, perfectly aligning with global enterprise expansion goals.