How should HipLocal redesign their architecture to ensure the application scales to support a significant increase in users while meeting business and technical requirements?

Key considerations:

• Replace the single-instance MySQL database with a globally scalable solution (e.g., Cloud Spanner or sharded Cloud SQL).
• Migrate APIs from Compute Engine to a managed service like Google Kubernetes Engine (GKE) or Cloud Run for autoscaling.
• Implement distributed logging (Cloud Logging) and monitoring (Cloud Monitoring) with actionable alerts.
• Adopt CI/CD pipelines (e.g., Cloud Build) to automate deployments and reduce manual intervention.
• Use global load balancing (Cloud Load Balancing) and CDN (Cloud CDN) to ensure low-latency access across regions.
• Enforce SLIs/SLOs and regional compliance (e.g., data residency via Firestore or Spanner configurations).
• Integrate authentication/authorization (Identity-Aware Proxy, Firebase Auth) and secure communication (VPC peering/TLS).
• Leverage Pub/Sub or Eventarc for asynchronous processing to handle spikes in demand.