Google Cloud Platform - BKJackson/BKJackson_Wiki GitHub Wiki

Google AI Hub

Introducing AI Hub and Kubeflow Pipelines: Making AI simpler, faster, and more useful for businesses

Kubeflow Pipelines

• Package ML code just like building an app so that it's reusable to other users across and organization.
• Provide a workbench to compose, deploy and manage reusable end-to-end machine learning workflows, making it a no lock-in hybrid solution from prototyping to production.
• It also enables rapid and reliable experimentation, so users can try many ML techniques to identify what works best for their application.

Kubeflow Piplines Github

Containers

Continuous delivery with containers - Automatically build, test, and deploy containers to a Kubernetes cluster using Cloud Build, Spinnaker, and Google Kubernetes Engine.
Automatic serverless deployments - Use Cloud Build and Cloud Functions to automatically deploy apps to Google App Engine.