Deploying AI Agents to Production with Vertex AI Agent Engine
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Agent Development Kit (ADK)
Vertex AI
Google Cloud
Python
AI Tools
Automation
Coding
Learn how to deploy your ADK agents to a scalable production environment using Vertex AI Agent Engine. This guide covers deployment script examples and shows you how to monitor agent performance—such as latency, CPU, and memory—via the Vertex AI dashboard.
Key Metrics for Agent Monitoring
After deployment, focus on the following metrics in the Vertex AI dashboard to ensure your agent is performing well at scale:
- **Queries:** The number of requests received by the agent.
- **Latency:** The time taken by the agent to respond.
- **CPU & Memory:** Resource usage to assess if the resource allocation is sufficient.
- **Sessions:** Agent Engine manages user sessions automatically, and you can monitor session information here.
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