This article covers deploying a multi-agent AI system to production using Terraform and Google Cloud Run.
- •Implement a FastAPI server connecting to Vertex AI memory bank to persist user preferences across production sessions
- •Enable Agent Traces telemetry through Google Cloud observability features for monitoring agent reasoning and tool calls
- •Use Terraform to automate cloud infrastructure creation including Cloud Run, Artifact Registry, IAM roles, and Secret Manager
- •Configure a dedicated service account with minimum required permissions for Vertex AI and Cloud Storage access
- •Package the multi-agent system into a Docker container with all dependencies including Node.js for the Reddit MCP tool
This summary was automatically generated by AI based on the original article and may not be fully accurate.
Google Cloud
Grafana