v1.5.1-aws-b1.0.0

What’s New

This release offers the following features:

• Upgrade Kubeflow components for 1.5.1. Component versions as listed in components versions table
• Access AWS services from Katib using the AWS IAM Roles for Service Accounts (IRSA) integration with Kubeflow Profiles
• Access AWS services from pipeline pods using the AWS IAM Roles for Service Accounts (IRSA) integration with Kubeflow Profiles
• Switch from KFServing to KServe as default serving component. Component guide for model serving over load balancer endpoint using KServe
• AWS optimized Jupyter notebook server images for TensorFlow-2.6.3 and PyTorch-1.11
• Bug fix to remove unused mysql-pod and pv-claim from pipeline component (#222)

Updated documentation available at: https://awslabs.github.io/kubeflow-manifests/release-v1.5.1-aws-b1.0.0/docs/

Known Issues

• #257
• #117 (Workaround documented in issue)
• #118 (Workaround documented in issue)
• kubeflow/pipelines#7361 (Terminating the pipeline run does not trigger the deletion logic programmed via the signal handled in a component. This affects all components in general. Terminate functionality in SageMaker components for Kubeflow pipelines is also affected. Workaround is to manually stop the training jobs)

Full Changelog: https://github.com/awslabs/kubeflow-manifests/commits/v1.5.1-aws-b1.0.0