### (No, really, you MUST read this before you upgrade)

- Kubeadm: remove the deprecated flag `--experimental-patches` for the `init|join|upgrade` commands. The flag `--patches` is no longer allowed in a mixture with the flag `--config`. Please use the kubeadm configuration for setting patches for a node using `{Init|Join}Configuration.patches`. ([#104065](https://github.com/kubernetes/kubernetes/pull/104065), [@pacoxu](https://github.com/pacoxu))

## Changelog since v1.12.8

### Other notable changes

* Active watches of custom resources now terminate properly if the CRD is modified. ([#78029](https://github.com/kubernetes/kubernetes/pull/78029), [@liggitt](https://github.com/liggitt))

potentially exploit a vulnerability in the TensorFlow code that handles videos,
which could allow them to execute arbitrary code on the system running
TensorFlow.

It is important to keep TensorFlow up to date with the latest security patches
and follow the sandboxing guideline above to protect against these types of
vulnerabilities.

## Security properties of execution modes

TensorFlow has several execution modes, with Eager-mode being the default in v2.

        // Arrange: program send() to simulate first, next, next(NO_MORE_FILES)
        List<String[]> batches = new ArrayList<>();
        batches.add(new String[] { ".", "..", "a", "b" }); // first batch, dot entries filtered
        batches.add(new String[] { "c" }); // second batch
        batches.add(new String[] {}); // last -> NO_MORE_FILES

        // send() answer that mutates the provided response

- Fix: initial delay in mounting azure disk & file ([#93052](https://github.com/kubernetes/kubernetes/pull/93052), [@andyzhangx](https://github.com/andyzhangx)) [SIG Cloud Provider and Storage]
- Fixed a performance issue applying json patches to deeply nested objects ([#93813](https://github.com/kubernetes/kubernetes/pull/93813), [@liggitt](https://github.com/liggitt)) [SIG API Machinery, CLI, Cloud Provider and Cluster Lifecycle]

  The scheduling hints allow the scheduler to only retry scheduling a `Pod`
  that was previously rejected by the `NodeAffinity` plugin if a new `Node` or a `Node` update matches the `Pod`'s node affinity. ([#119155](https://github.com/kubernetes/kubernetes/pull/119155), [@carlory](https://github.com/carlory))
- `kubeadm`: promoted feature gate `EtcdLearnerMode` to `beta`. Learner mode for

        }
        final Matcher matcher = regexPattern.matcher(input);
        if (matcher.find()) {
            if (pathMapperFunc == null) {
                final String replacement = StringUtil.isNotBlank(getReplacement()) ? getReplacement() : StringUtil.EMPTY;
                pathMapperFunc = pathMappingHelper.createPathMatcher(matcher, replacement);
            }
            try {

              {
                "color": "red",
                "value": 80
              }
            ]
          },
          "unit": "bytes"
        },
        "overrides": [
          {
            "matcher": {
              "id": "byName",
              "options": "Replication Errors"
            },
            "properties": [
              {
                "id": "color",
                "value": {

        }
        final Matcher matcher = getTagPattern().matcher(input);
        final StringBuffer sb = new StringBuffer();
        final Pattern attrPattern = Pattern.compile("\\s[^ ]+=\"([^\"]*)\"");
        while (matcher.find()) {
            final String tagStr = matcher.group();
            final Matcher attrMatcher = attrPattern.matcher(tagStr);

                "color": "red",
                "value": 80
              }
            ]
          },
          "unit": "none"
        },
        "overrides": [
          {
            "matcher": {
              "id": "byName",
              "options": "S3 Errors"
            },
            "properties": [
              {
                "id": "color",
                "value": {