In this repository, we deploy a pipeline in Kubeflow provisioned inside EKS. All steps in the pipeline are executed in custom Docker images. The model is trained on CPU and deployed using KServe.
Custom Docker images are built for each of the steps. The images are then pushed to ECR.
To see all the steps and the code, see the steps here.
All of these steps are mentioned in the setup guide.
Once all the components are up and running, access the UI.
kubectl port-forward svc/istio-ingressgateway -n istio-system 8080:80And browse to kubeflow.localhost:8080
email : user@example.com password : 12341234
Use the image created in step 1 for the notebook.
Inside the notebook, start the notebook. Don't forget to add the authentication token from Brave's Developer Tools.
Upon running the completed pipeline ,we see that the processing components is reused and taken from the cache.
Also, the model gets a new revision number.
