# Create Expert Content: Deploying a Multi-Agent System with Terraform and Cloud Run Canonical URL: https://www.traeai.com/articles/1db9a34e-915a-4ef6-9716-4f6a7f5ea814 Original source: https://cloud.google.com/blog/topics/developers-practitioners/create-expert-content-deploying-a-multi-agent-system-with-terraform-and-cloud-run/ Source name: Google Cloud Blog Content type: article Language: 英文 Score: 7.5 Reading time: 8 分钟 Published: 2026-04-17T08:56:00+00:00 Tags: Google Cloud, Cloud Run, Terraform, 多智能体系统, MLOps ## Summary 文章详解如何用 Terraform 和 Cloud Run 将多智能体系统 Dev Signal 从本地原型部署到生产环境,强调可观测性、内存持久化与安全基础设施。 ## Key Takeaways - 使用 FastAPI 构建应用服务器作为多智能体系统的生产入口,连接 Vertex AI 内存实现状态持久化。 - 通过 ADK 的 otel_to_cloud=True 自动导出 Agent Traces 到 Cloud Console,实现智能体推理过程可视化。 - Terraform 自动化创建 Artifact Registry、最小权限服务账号和 Secret Manager,保障部署安全性与可复现性。 ## Citation Guidance When citing this item, prefer the canonical traeai article URL for the AI-readable summary and include the original source URL when discussing the underlying source material.