Building a cloud-native inventory detection app with AI and Kubernetes on Google Distributed Cloud.

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United States Google Cloud
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208,000
Published on ● Video Link: https://www.youtube.com/watch?v=bQHlqZiaRvo


Duration: 12:55
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30

Deploying cloud-native applications can be hard. Scaling and managing thousands of edge devices adds to the complexity. Join Mike Ensor, Tech Lead Distributed Cloud Solutions at Google Cloud, in this step-by-step video as we jump into an application development lifecycle, build, deploy, scale and manage applications from the cloud to 1,000s of edge devices. We will build the artifact for Kubernetes, set up our desired state configuration, and build and train the AI vision model. We will then deploy, process, and monitor performance of the application from Google Cloud to the Edge.

Google Distributed Cloud enables you to deliver modern customer experiences on-premise. Build, deploy, and scale modern industry & public sector applications anywhere with AI ready modern infrastructure, ensure data security, and enable an agile and uniform developer workflow from one to thousands of locations.

Learn more about Google Distributed Cloud: https://cloud.google.com/distributed-cloud



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