// set. If RuntimeClass is configured and selected in the PodSpec, Overhead will be set to the value
  // defined in the corresponding RuntimeClass, otherwise it will remain unset and treated as zero.
  // More info: https://git.k8s.io/enhancements/keps/sig-node/688-pod-overhead/README.md
  // +optional
  map<string, k8s.io.apimachinery.pkg.api.resource.Quantity> overhead = 32;

  // There are a few design constraints to consider
  // * We want to be responsive to small timeouts, unpark() has non trivial latency overheads (I
  //   have observed 12 micros on 64-bit linux systems to wake up a parked thread). So if the
  //   timeout is small we shouldn't park(). This needs to be traded off with the cpu overhead of
  //   spinning, so we use SPIN_THRESHOLD_NANOS which is what AbstractQueuedSynchronizer uses for
  //   similar purposes.

- ResourceQuota of an entity now inclusively calculate Pod overhead ([#99600](https://github.com/kubernetes/kubernetes/pull/99600), [@gjkim42](https://github.com/gjkim42))

// HardLimitReader returns a Reader that reads from r
// but returns an error if the source provides more data than allowed.
// This means the source *will* be overread unless EOF is returned prior.
// The underlying implementation is a *HardLimitedReader.
// This will ensure that at most n bytes are returned and EOF is reached.

            [eager context](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/eager/context.py).
        *   Eager performance should be similar with this feature enabled.
            *   A roughly 5us per-op overhead may be observed when running many
                small functions.
            *   Note a
                [known issue](https://github.com/tensorflow/tensorflow/issues/55414)
                with GPU performance.

        * Leaked File descriptors ([#275](https://github.com/docker/containerd/issues/275))

        * Additional memory overhead per container ([#21737](https://github.com/kubernetes/kubernetes/pull/21737))

        - File descriptor leak on init/control.
          ([#275](https://github.com/containerd/containerd/issues/275))

        - Additional memory overhead per container.
          ([#21737](https://github.com/kubernetes/kubernetes/pull/21737))

        - Processes may be leaked when Docker is repeatedly terminated in a short
          time frame.

- Fix handing special characters in the volume path on Windows ([#99138](https://github.com/kubernetes/kubernetes/pull/99138), [@yujuhong](https://github.com/yujuhong)) [SIG Storage]

### Bug or Regression

- Count pod overhead against an entity's ResourceQuota ([#99600](https://github.com/kubernetes/kubernetes/pull/99600), [@gjkim42](https://github.com/gjkim42)) [SIG API Machinery and Node]

setting](/pkg/crypto/tls/#ConnectionState.ExportKeyingMaterial).

Go 1.22 changed how the runtime interacts with transparent huge pages on Linux.
In particular, a common default Linux kernel configuration can result in
significant memory overheads, and Go 1.22 no longer works around this default.
To work around this issue without adjusting kernel settings, transparent huge
pages can be disabled for Go memory with the

### Bug or Regression

- Avoid systemd-logind loading configuration warning ([#97950](https://github.com/kubernetes/kubernetes/pull/97950), [@wzshiming](https://github.com/wzshiming)) [SIG Node]
- Count pod overhead against an entity's ResourceQuota ([#99600](https://github.com/kubernetes/kubernetes/pull/99600), [@gjkim42](https://github.com/gjkim42)) [SIG API Machinery and Node]