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Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh

Offered By: Google via Google Cloud Skills Boost

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Anthos Courses TensorFlow Courses Kubernetes Courses Machine Learning Model Deployment Courses Canary Releases Courses

Course Description

Overview

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In this lab you will install the Anthos Service Mesh, and deploy a resnet model, all on a GKE cluster.

Syllabus

  • GSP778
  • Overview
  • Setup and requirements
  • Lab tasks
  • Task 1. Set up your project
  • Task 2. Set up your GKE cluster
  • Task 3. Install an ingress gateway
  • Task 4. Enable sidecar injection
  • Task 5. Deploying ResNet50
  • Task 5. Creating ConfigMap
  • Task 6. Creating TensorFlow Serving deployment of the ResNet50 model.
  • Task 7. Install an ingress gateway
  • Task 8. Testing access to the ResNet50 model
  • Task 9. Deploying ResNet101 as a canary release
  • Task 10. Configuring weighted load balancing
  • Task 11. Configuring focused canary testing
  • Congratulations

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