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Deploying ML Web App on GKE-Autopilot

This project shows how to deploy a machine learning web application on Google Kubernetes Engine (GKE) Autopilot.

Project Pre-requisites:

  1. Google Cloud Account.
  2. Enabled Billing.

Project Tasks:

  1. Introduction.
  2. Setting-up Environment.
  3. Running Streamlit Web App.
  4. Creating Docker-Image in Google Container Registry.
  5. Creating GKE-Autopilot Cluster.
  6. Creating Deployment.
  7. Exposing Service.
  8. Testing the Web Application.
  9. Deleting the Project.

Dataset Used:

  • stanford_dogs from tensorflow datasets. link