Five must-have guides to move agents into production with Gemini Enterprise Agent Platform

This guide covers five essential patterns and best practices for deploying AI agents to production using Google's Gemini Enterprise Agent Platform.

• •Long-running agents that maintain state for up to seven days with checkpoint-and-resume mechanisms for failure recovery
• •Five-layer agent governance stack with Agent Identity, Registry, Gateway, and anomaly detection for secure agent fleet management
• •Multi-agent orchestration patterns using Agent Development Kit (ADK) including graph-based workflows and coordinator-specialist patterns
• •Agent-to-Agent (A2A) and Model Context Protocol (MCP) standards for secure discovery and collaboration across different teams and organizations
• •Pre-built Atomic Agent Blueprints in Agent Garden that provide ready-to-use architectures for faster production deployment