The AI Practitioner Podcast

PODCAST — Deploying Google ADK Agents: From Local Script to a Managed Cloud Runtime


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Multi-agent systems become valuable when they can reason and coordinate, but they become even more valuable when they are production-ready and can run reliably as a service.

In this third episode of the Google ADK series, the focus moves beyond agent design and orchestration to deployment. Using the same multi-agent writing pipeline from the previous articles, this podcast explores how to turn an ADK agent into a cloud-native service with durable state, secure credentials, observability, authentication, and a clear path for client applications.

You’ll learn:

* How to choose between Agent Engine, Cloud Run, and GKE for hosting an ADK agent

* How to externalize sessions, artifacts, memory, secrets, and model access for production

* How to test the deployed service, stream responses, configure CORS, and connect a frontend

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The AI Practitioner PodcastBy by Lina Faik