Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Istio

In this Project, you will:

Prepare a GKE cluster with the Istio add-on for TensorFlow Serving

Create a canary release of a TensorFlow model deployment

Configure various traffic splitting strategies

1.5 hours
Intermediate
No download needed
Shareable certificate
English
Desktop only

This is a self-paced lab that takes place in the Google Cloud console. AutoML Vision helps developers with limited ML expertise train high quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).

Skills you will develop

  • Load Balancing

  • Tensorflow

  • Microservices

  • Kubernetes

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Google Cloud

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