# Release 2.11.0

## Breaking Changes
*   `tf.keras.optimizers.Optimizer` now points to the new Keras optimizer, and
    old optimizers have moved to the `tf.keras.optimizers.legacy` namespace.
    If you find your workflow failing due to this change,
    you may be facing one of the following issues:

    *   **Checkpoint loading failure.** The new optimizer handles optimizer

 - Kubeadm: Move the "kubeadm init" phase "kubelet-start" later in the init workflow, after the "kubeconfig" phase. This makes kubeadm start the kubelet only after the KubeletConfiguration component config file (/var/lib/kubelet/config.yaml) is generated and solves a problem where init systems like OpenRC cannot crashloop the kubelet...