You’ve developed a robust AI agent on your local machine and now seek to deploy it securely and scalably on Google Cloud. There are various deployment options, each offering unique experiences, including Cloud Run, Google Kubernetes Engine (GKE), and Vertex AI Agent Engine. For a detailed comparison of these paths, refer to “Choosing the Right Deployment Path for Your Google ADK Agents.”
To assist in your deployment journey, the “Production-Ready AI on Google Cloud Learning Path” includes three hands-on labs showcasing these options. Vertex AI Agent Engine is the optimal solution for teams prioritizing simplicity. This managed service eliminates the responsibility of managing web servers or containers, providing an optimized environment for Python agents where you focus on agent logic while the platform takes care of execution, memory, and tool management. Select the best path for your AI deployment to achieve reliability and scalability in production.
Source link
