About This Architecture

Multi-zone GCP meeting intelligence platform ingests audio from meeting participants through Cloud Armor WAF and Cloud CDN, then routes to Speech-to-Text API for transcription across us-central1-a and us-central1-b zones. Text preprocessing via Cloud Run feeds into Vertex AI summarization and Cloud Functions for action item extraction, with results published to Cloud Pub/Sub for distribution to Cloud SQL, Cloud Storage, and Cloud Firestore across both zones. High-availability architecture uses Cloud SQL primary-standby replication, multi-zone data redundancy, and Cloud Monitoring/Logging for observability, while Cloud IAM and Cloud KMS enforce security and encryption. Fork this diagram to customize for your meeting intelligence workload, adjust instance types, or integrate additional GCP services like BigQuery for analytics.

People also ask

How do I design a multi-zone GCP architecture for meeting transcription and summarization with high availability?

This diagram shows a two-zone GCP meeting intelligence platform using Speech-to-Text API for transcription, Vertex AI for summarization, and Cloud Functions for action item extraction, with Cloud Pub/Sub distributing results to replicated Cloud SQL, Cloud Storage, and Cloud Firestore across zones. Cloud Armor and Cloud CDN protect the presentation layer, while Cloud SQL primary-standby replication