- [beta] Deployments that cannot make progress in rolling out the newest version will now indicate via the API they are blocked ([docs](http://kubernetes.io/docs/user-guide/deployments/#failed-deployment)) ([kubernetes/features#122](https://github.com/kubernetes/enhancements/issues/122))

### Bug or Regression

- Kubeadm: fixed bug where v1beta3's ClusterConfiguration.APIServer.TimeoutForControlPlane is not respected in newer versions of kubeadm where v1beta4 is the default. ([#133776](https://github.com/kubernetes/kubernetes/pull/133776), [@HirazawaUi](https://github.com/HirazawaUi)) [SIG Cluster Lifecycle]

### Other (Cleanup or Flake)

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- If more than one StorageClass is designated as default (via the "storageclass.kubernetes.io/is-default-class" annotation), choose the newest one instead of throwing an error. ([#110559](https://github.com/kubernetes/kubernetes/pull/110559), [@danishprakash](https://github.com/danishprakash))

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* gitRepo volumes in pods no longer require git 1.8.5 or newer, older git versions are supported too now. ([#62394](https://github.com/kubernetes/kubernetes/pull/62394), [@jsafrane](https://github.com/jsafrane))

* Use arm32v7|arm64v8 images instead of the deprecated armhf|aarch64 image organizations ([#50602](https://github.com/kubernetes/kubernetes/pull/50602), [@dixudx](https://github.com/dixudx))
* audit newest impersonated user info in the ResponseStarted, ResponseComplete audit stage ([#48184](https://github.com/kubernetes/kubernetes/pull/48184), [@CaoShuFeng](https://github.com/CaoShuFeng))

## 0.115.4

### Refactors

* ♻️ Update logic to import and check `python-multipart` for compatibility with newer version. PR [#12627](https://github.com/fastapi/fastapi/pull/12627) by [@tiangolo](https://github.com/tiangolo).

### Docs

- `apiserver_storage_objects` (a newer version of `etcd_object_counts`) is promoted and marked as stable. ([#100082](https://github.com/kubernetes/kubernetes/pull/100082), [@logicalhan](https://github.com/logicalhan))

### Uncategorized

            AVX512_BF16, AMX, etc.
            ([Intel Cascade Lake](https://www.intel.com/content/www/us/en/products/platforms/details/cascade-lake.html)
            and newer CPUs.)
            *   [Example performance speedups.](https://medium.com/intel-analytics-software/leverage-intel-deep-learning-optimizations-in-tensorflow-129faa80ee07)