About This Architecture

GCP Taxi App Architecture demonstrates a three-tier serverless design for real-time ride-sharing, combining Firebase services with Cloud Functions and Pub/Sub for event-driven coordination. Passenger and driver mobile clients connect through Cloud CDN and Cloud Load Balancing, passing through Cloud Armor WAF and Firebase Hosting before reaching Cloud Functions that orchestrate ride logic via Google Maps API and Cloud Pub/Sub events. Data flows across Cloud Firestore for persistent trip and user records, Firebase Realtime DB for live location updates, and Cloud Storage for media, with Firebase Auth securing access and Cloud Monitoring observing system health. This architecture exemplifies GCP's managed services approach, eliminating infrastructure overhead while enabling real-time features critical to on-demand mobility platforms. Fork this diagram on Diagrams.so to customize service regions, add traffic policies, or integrate additional GCP connectors for your taxi or delivery application. The separation of authentication, messaging, and location data across specialized databases reflects best practices for scaling independent read/write patterns in high-concurrency mobile apps.

People also ask

How do you build a real-time taxi app on GCP using Firebase and Cloud Functions?

This diagram shows a three-tier GCP taxi architecture where mobile clients authenticate via Firebase Auth, submit ride requests through Cloud Functions that orchestrate logic and publish events to Cloud Pub/Sub, and receive live location updates from Firebase Realtime DB. Cloud Firestore stores persistent trip and user data, while Cloud Monitoring tracks system health across all services.