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Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes

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Overview

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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.).

Syllabus

  • GSP777
  • Overview
  • Setup and requirements
  • Lab tasks
  • Task 1. Getting lab files
  • Task 2. Creating a GKE cluster
  • Task 3. Deploying ResNet101
  • Task 4. Creating ConfigMap
  • Task 5. Creating TensorFlow Serving deployment
  • Task 6. Exposing the deployment
  • Task 7. Configuring horizontal pod autoscaler
  • Task 8. Testing the model
  • Task 9. Installing Locust
  • Task 10. Starting a load test
  • Task 11. Monitoring the load test
  • Task 12. Stopping the load test
  • Congratulations

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