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CHANGELOG/CHANGELOG-1.5.md
- [beta] StatefulSets allow workloads that require persistent identity or per-instance storage to be created and managed on Kubernetes. ([docs](http://kubernetes.io/docs/concepts/abstractions/controllers/statefulsets/)) ([kubernetes/features#137](https://github.com/kubernetes/enhancements/issues/137))...
Registered: Fri Nov 01 09:05:11 UTC 2024 - Last Modified: Thu Dec 24 02:28:26 UTC 2020 - 136.4K bytes - Viewed (0) -
CHANGELOG/CHANGELOG-1.31.md
- Added `/sys/devices/virtual/powercap` to default masked paths. It avoids the potential security risk that the ability to read these files may offer a power-based sidechannel attack against any workloads running on the same kernel. ([#125970](https://github.com/kubernetes/kubernetes/pull/125970), [@carlory](https://github.com/carlory))
Registered: Fri Nov 01 09:05:11 UTC 2024 - Last Modified: Wed Oct 23 12:18:32 UTC 2024 - 315.4K bytes - Viewed (0) -
CHANGELOG/CHANGELOG-1.30.md
### Bug or Regression - Add `/sys/devices/virtual/powercap` to default masked paths. It avoids the potential security risk that the ability to read these files may offer a power-based sidechannel attack against any workloads running on the same kernel. ([#125970](https://github.com/kubernetes/kubernetes/pull/125970), [@carlory](https://github.com/carlory)) [SIG Node] - Fix a bug that Pods could stuck in the unschedulable pod pool
Registered: Fri Nov 01 09:05:11 UTC 2024 - Last Modified: Wed Oct 23 04:40:14 UTC 2024 - 309.1K bytes - Viewed (0) -
CHANGELOG/CHANGELOG-1.11.md
* Default value for expendable pod priority cutoff in GCP deployment of Cluster Autoscaler changed from 0 to -10. * action required: users deploying workloads with priority lower than 0 may want to use priority lower than -10 to avoid triggering scale-up. ### Other notable changes
Registered: Fri Nov 01 09:05:11 UTC 2024 - Last Modified: Thu Feb 06 06:04:15 UTC 2020 - 328.4K bytes - Viewed (0) -
RELEASE.md
## Major Features and Improvements * Support for Python3.9 has been added. * `tf.data`: * `tf.data` service now supports strict round-robin reads, which is useful for synchronous training workloads where example sizes vary. With strict round robin reads, users can guarantee that consumers get similar-sized examples in the same step.
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Tue Oct 22 14:33:53 UTC 2024 - 735.3K bytes - Viewed (0)