Build and Maintain a Reliable Secure AI Agent in the Cloud
Welcome to the AI series hub. This series provides a comprehensive guide to building, deploying, and maintaining production-ready AI agents in the cloud. Learn how to architect secure, scalable agents using Google ADK, MCP protocol, and cloud-native services like Cloud Run and Firebase.
Topics
Architecture Overview
Understanding the microservices architecture for cloud-based AI agents
System Components
Deep dive into Support Agent, Product Catalogue MCP, and CRM MCP
Authentication & Authorization
Token exchange patterns, permission models, and security implementation
MCP Protocol Implementation
JSON-RPC 2.0 implementation, tool definitions, and MCP communication patterns
Agent Architecture
Agent tools, prompt design, and interaction patterns
Building the Support Agent
Implementation guide for building the Support Agent with Google ADK and FastAPI
Building MCP Servers
Implementation guide for building Product Catalogue and CRM MCP servers
Deployment Architecture
Local Docker Compose setup and cloud deployment architecture
Cloud Deployment Guide
Step-by-step guide for deploying AI agents to Google Cloud Platform
Monitoring, Security & Maintenance
Observability, troubleshooting, and best practices for Cloud AI agents
Stay tuned—new content will drop here as each section is ready.