### Deprecation

- Aborting the drain command in a list of nodes will be deprecated. The new behavior will make the drain command go through all nodes even if one or more nodes failed during the drain. For now, users can try such experience by enabling --ignore-errors flag. ([#98203](https://github.com/kubernetes/kubernetes/pull/98203), [@yuzhiquan](https://github.com/yuzhiquan))

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* Version used (`minio --version`):
* Server setup and configuration:

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For 1.13 SIG Cluster Lifecycle is pleased to announce the long awaited promotion of kubeadm to stable GA, and the promotion of kubeadm’s configuration API to `v1beta1`.
In this release the SIG again focused on further improving the user experience on cluster creation and also fixing a number of bugs and other assorted improvements.

Some notable changes in kubeadm since Kubernetes 1.12:

This release includes a change to [kubectl get and describe to work better with extensions](https://github.com/kubernetes/enhancements/issues/515), as the server, rather than the client, returns this information for a smoother user experience.

### Network

- A new feature has been enabled to improve the performance of the iptables mode of kube-proxy in large clusters. You do not need to take any action, however:
  

## Changes by Kind

### Bug or Regression

- Fix a bug when the hostname label of a node does not match the node name, pods bound to a PV with nodeAffinity using the hostname may be scheduled to the wrong node or experience scheduling failures. ([#127586](https://github.com/kubernetes/kubernetes/pull/127586), [@AxeZhan](https://github.com/AxeZhan)) [SIG Scheduling and Storage]

- We’re working to simplify the Windows node join experience with better scripts and kubeadm. Scripts and doc updates are still in the works, but some of the needed improvements are included in 1.15.  These include:

[SIG Autoscaling]: https://github.com/kubernetes/community/tree/master/sig-autoscaling

### SIG Cluster Lifecycle

[SIG Cluster Lifecycle][] is responsible for the user experience of deploying,
upgrading, and deleting clusters.

For the 1.8 release, SIG Cluster Lifecycle continued to focus on expanding the
capabilities of kubeadm, which is both a user-facing tool to manage clusters

### etcd moves to version 3.5.0