- Trace output in apiserver logs is more organized and comprehensive. Traces are nested, and for all non-long running request endpoints, the entire filter chain is instrumented (e.g. authentication check is included). ([#88936](https://github.com/kubernetes/kubernetes/pull/88936), [@jpbetz](https://github.com/jpbetz)) [SIG API Machinery, CLI, Cloud Provider, Cluster Lifecycle, Instrumentation and Scheduling]

*   The experimental Python API
    [`tf.debugging.experimental.enable_dump_debug_info()`](https://www.tensorflow.org/api_docs/python/tf/debugging/experimental/enable_dump_debug_info)
    now allows you to instrument a TensorFlow program and dump debugging
    information to a directory on the file system. The directory can be read and
    visualized by a new interactive dashboard in TensorBoard 2.3 called