- [Node Binaries](#node-binaries-13)
  - [Major Themes](#major-themes)
    - [Node](#node)
    - [Storage](#storage)
    - [Windows](#windows)
    - [OpenStack](#openstack)
    - [API-machinery](#api-machinery)
    - [Auth](#auth)
    - [Azure](#azure)
    - [CLI](#cli)
    - [Network](#network)
  - [Before Upgrading](#before-upgrading)
  - [Known Issues](#known-issues)
  - [Deprecations](#deprecations)

- Regenerate protobuf code to fix CVE-2021-3121 ([#100514](https://github.com/kubernetes/kubernetes/pull/100514), [@joelsmith](https://github.com/joelsmith)) [SIG API Machinery, Auth, CLI, Cloud Provider, Cluster Lifecycle, Instrumentation and Node]

### Feature

- Fix a panic when using invalid output format in kubectl create secret command ([#107345](https://github.com/kubernetes/kubernetes/pull/107345), [@rikatz](https://github.com/rikatz)) [SIG CLI]
- Fixes a rare race condition handling requests that timeout ([#107460](https://github.com/kubernetes/kubernetes/pull/107460), [@liggitt](https://github.com/liggitt)) [SIG API Machinery]

- Extended `core/v1` `Toleration` to support numeric comparison operators (`Gt`,`Lt`). ([#134665](https://github.com/kubernetes/kubernetes/pull/134665), [@helayoty](https://github.com/helayoty)) [SIG API Machinery, Apps, Node, Scheduling, Testing and Windows]

* <abbr title="Parallel Server Gateway Interface">PSGI</abbr>

### The abbr gives an explanation { #the-abbr-gives-an-explanation }

* <abbr title="A group of machines that are configured to be connected and work together in some way.">cluster</abbr>
* <abbr title="A method of machine learning that uses artificial neural networks with numerous hidden layers between input and output layers, thereby developing a comprehensive internal structure">Deep Learning</abbr>

### Server Memory { #server-memory }

For example, if your code loads a Machine Learning model with **1 GB in size**, when you run one process with your API, it will consume at least 1 GB of RAM. And if you start **4 processes** (4 workers), each will consume 1 GB of RAM. So in total, your API will consume **4 GB of RAM**.

And if your remote server or virtual machine only has 3 GB of RAM, trying to load more than 4 GB of RAM will cause problems. 🚨

- K8s.io/client-go: Fixes a regression in 1.34+ which prevented informers from using configured Transformer functions ([#135592](https://github.com/kubernetes/kubernetes/pull/135592), [@serathius](https://github.com/serathius)) [SIG API Machinery]

- Fixed incorrect "v1 Binding is deprecated in v1.6+" warning in kube-scheduler log. ([#125540](https://github.com/kubernetes/kubernetes/pull/125540), [@pohly](https://github.com/pohly)) [SIG API Machinery]
- Fixed the comment for the Job's managedBy field. ([#124793](https://github.com/kubernetes/kubernetes/pull/124793), [@mimowo](https://github.com/mimowo)) [SIG API Machinery and Apps]

- Kube-apiserver: fixes a 1.27+ regression watching a single namespace via the deprecated /api/v1/watch/namespaces/$name endpoint where watch events were not delivered after the watch was established ([#126150](https://github.com/kubernetes/kubernetes/pull/126150), [@xyz-li](https://github.com/xyz-li)) [SIG API Machinery and Testing]

### Other (Cleanup or Flake)

- Build etcd image v3.5.12 ([#123069](https://github.com/kubernetes/kubernetes/pull/123069), [@bzsuni](https://github.com/bzsuni)) [SIG API Machinery and Etcd]

## Dependencies

### Added
_Nothing has changed._