</p>

<pre class="grammar">
+    sum                    integers, floats, complex values, strings
-    difference             integers, floats, complex values
*    product                integers, floats, complex values
/    quotient               integers, floats, complex values
%    remainder              integers

&amp;    bitwise AND            integers

</p>

<pre class="grammar">
+    sum                    integers, floats, complex values, strings
-    difference             integers, floats, complex values
*    product                integers, floats, complex values
/    quotient               integers, floats, complex values
%    remainder              integers

&amp;    bitwise AND            integers

  // +optional
  optional string appProtocol = 4;
}

// EndpointSubset is a group of addresses with a common set of ports. The
// expanded set of endpoints is the Cartesian product of Addresses x Ports.
// For example, given:
//
// 	{
// 	  Addresses: [{"ip": "10.10.1.1"}, {"ip": "10.10.2.2"}],
// 	  Ports:     [{"name": "a", "port": 8675}, {"name": "b", "port": 309}]
// 	}
//

- The `gcp` and `azure` auth plugins have been removed from client-go and kubectl. See https://github.com/Azure/kubelogin and https://cloud.google.com/blog/products/containers-kubernetes/kubectl-auth-changes-in-gke ([#110013](https://github.com/kubernetes/kubernetes/pull/110013), [@enj](https://github.com/enj))

- The `gcp` and `azure` auth plugins have been removed from `client-go` and `kubectl`. See [kubelogin](https://github.com/Azure/kubelogin) and [Kubectl Auth Changes in GKE](https://cloud.google.com/blog/products/containers-kubernetes/kubectl-auth-changes-in-gke) for details about the cloud-specific replacements. ([#112341](https://github.com/kubernetes/kubernetes/pull/112341), [@enj](https://github.com/enj))

### API Change

            neural-network-focused hardware features such as AVX512_VNNI,
            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)

FAQ accumulator] [#57159](https://github.com/kubernetes/kubernetes/issues/57159).

*   If you are adding Windows Server Virtual Machines as nodes to your Kubernetes environment, there is a compatibility issue with certain virtualization products. Specifically the Windows version of the kubelet.exe calls `GetPhysicallyInstalledSystemMemory` to get the physical memory installed on Windows machines and reports it as part of node metrics to heapster. This API call fails for VMware and VirtualBox...