- 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

* 📝 Add hyperlink to `docs/en/docs/tutorial/static-files.md`. PR [#10243](https://github.com/tiangolo/fastapi/pull/10243) by [@hungtsetse](https://github.com/hungtsetse).
* 📝 Add External Link: Instrument a FastAPI service adding tracing with OpenTelemetry and send/show traces in Grafana Tempo. PR [#9440](https://github.com/tiangolo/fastapi/pull/9440) by [@softwarebloat](https://github.com/softwarebloat).