of a rule to source (client) workloads with the given
                              labels.
                            type: object
                          sourceNamespace:
                            description: Source namespace constraining the applicability
                              of a rule to workloads in that namespace.
                            type: string

    - [Deprecation warnings](#deprecation-warnings)
    - [Avoiding permanent beta](#avoiding-permanent-beta)
    - [Expanded CLI support for debugging workloads and nodes](#expanded-cli-support-for-debugging-workloads-and-nodes)
    - [Structured logging](#structured-logging)
    - [EndpointSlices are now enabled by default](#endpointslices-are-now-enabled-by-default)

## Major Features and Improvements

*   Support for Python3.9 has been added.
*   `tf.data`:
    *   `tf.data` service now supports strict round-robin reads, which is useful
        for synchronous training workloads where example sizes vary. With strict
        round robin reads, users can guarantee that consumers get similar-sized
        examples in the same step.