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Prefer reading instead? The full article is available here. The podcast is also available on Spotify and Apple Podcasts. Subscribe to keep up with the latest drops.
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
👉 Enjoyed this episode? Subscribe to The AI Practitioner to get future articles and podcasts delivered straight to your inbox: aipractitioner.substack.com
By by Lina FaikPrefer reading instead? The full article is available here. The podcast is also available on Spotify and Apple Podcasts. Subscribe to keep up with the latest drops.
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
👉 Enjoyed this episode? Subscribe to The AI Practitioner to get future articles and podcasts delivered straight to your inbox: aipractitioner.substack.com