- Service load balancers no longer exclude nodes marked unschedulable from the candidate nodes. The service load balancer exclusion label should be used instead.
  

*   The "ServiceNodeExclusion" feature gate must now be enabled for the `alpha.service-controller.kubernetes.io/exclude-balancer` annotation on nodes to be honored. ([#54644](https://github.com/kubernetes/kubernetes/pull/54644),[ @brendandburns](https://github.com/brendandburns))

### **Scheduling**

      - apiGroups:   ["networking.k8s.io"]
        apiVersions: ["v1","v1beta1"]
        operations:  ["CREATE", "UPDATE"]
        resources:   ["servicecidrs"]
    matchConditions:
    - name: 'exclude-default-servicecidr'
      expression: "object.metadata.name != 'kubernetes'"
    variables:
    - name: allowed
      expression: "['10.96.0.0/16','2001:db8::/64']"
    validations:

non-empty strings using only characters belonging to
<a href="https://www.unicode.org/versions/Unicode6.3.0/">Unicode's</a>
L, M, N, P, and S general categories (the Graphic characters without
spaces) and may also exclude the characters
<code>!"#$%&amp;'()*,:;&lt;=&gt;?[\]^`{|}</code>
and the Unicode replacement character U+FFFD.
</p>

<p>
Consider a compiled a package containing the package clause

- Revised the logic for DaemonSet rolling update to exclude nodes if scheduling constraints are not met.

- Revised the logic for DaemonSet rolling update to exclude nodes if scheduling constraints are not met.

- The calculations for Pod topology spread skew now exclude nodes that
  don't match the node affinity/selector. This may lead to unschedulable pods if you previously had pods
  matching the spreading selector on those excluded nodes (not matching the node affinity/selector),

    *   Experimental support for shape invariants has been enabled in
        `tf.function`. See the API docs for
        `tf.autograph.experimental.set_loop_options` for additional info.
    *   AutoGraph error messages now exclude frames corresponding to APIs
        internal to AutoGraph.
    *   Improve shape inference for `tf.function` input arguments to unlock more
        Grappler optimizations in TensorFlow 2.x.