GCP Professional Cloud Architect Practice Question

Your e-commerce team runs a Go web API on Cloud Run in us-central1. A recent regional outage caused a 3-hour downtime. They want to update their Cloud Build pipeline to deploy the code (no Dockerfile) to an additional europe-west1 service, release each new revision to only 10 % of users first, and achieve 99.95 % global availability while avoiding inter-region egress for session writes stored in Firestore. Which deployment architecture best meets these goals?

Refactor the service into Cloud Functions deployed in us-central1 and europe-west1, front them with Cloud CDN, and enable gradual rollout by versioning the function; store session data in a single multi-region Firestore database to simplify consistency.
Deploy a single Cloud Run service with the --region=global flag so Cloud Run automatically spans multiple regions; use its built-in traffic splitting for the 10 % canary while keeping a single multi-region Firestore database.
Create separate Cloud Run services in us-central1 and europe-west1. Use Cloud Build to run gcloud run deploy --source for each region, enable 10 / 90 traffic splitting between revisions on every service, and place both services behind an external HTTP(S) Load Balancer with serverless NEGs configured for geo-based routing; point each service to its local regional Firestore instance.
Migrate the workload to two GKE Autopilot clusters (us-central1 and europe-west1) and expose them through multi-cluster Ingress; handle canary releases with Kubernetes rolling updates and continue using the existing Firestore instance in us-central1.

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Answer Description

Deploying two independent Cloud Run services-one in us-central1 and one in europe-west1-lets the application survive a regional failure and meets the 99.95 % availability target when traffic is routed through a global external HTTP(S) Load Balancer backed by serverless NEGs. Geo-based routing sends users to the closest region, so the Firestore traffic stays within the same continent and avoids cross-region egress. Using gcloud run deploy --source in the Cloud Build pipeline compiles the container image from source without a Dockerfile. Cloud Run traffic-splitting on each service can direct 10 % of traffic to the new revision for a canary and provides an instant rollback path. The other options either rely on a single regional service, use an unsupported "multi-region" Cloud Run setting, or migrate to a different compute platform, so they do not simultaneously satisfy all stated requirements.

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