*   Improvements to the TensorFlow debugging experience:

    *   Previously, TensorFlow error stack traces involved many internal frames,
        which could be challenging to read through, while not being actionable
        for end users. As of TF 2.7, TensorFlow filters internal frames in most
        errors that it raises, to keep stack traces short, readable, and focused
        on what's actionable for end users (their own code).

- 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...

16EB..16F0    ; valid                  ;      ; NV8    # 3.0  RUNIC SINGLE PUNCTUATION..RUNIC BELGTHOR SYMBOL
16F1..16F8    ; valid                                  # 7.0  RUNIC LETTER K..RUNIC LETTER FRANKS CASKET AESC
16F9..16FF    ; disallowed                             # NA   <reserved-16F9>..<reserved-16FF>
1700..170C    ; valid                                  # 3.2  TAGALOG LETTER A..TAGALOG LETTER YA