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CHANGELOG/CHANGELOG-1.9.md
- [**Node**](#node-3) - [**Pod API**](#pod-api) - [**Hardware Accelerators**](#hardware-accelerators) - [**Container Runtime**](#container-runtime) - [**Kubelet**](#kubelet) - [**Other**](#other-5) - [**OpenStack**](#openstack-2) - [**Scheduling**](#scheduling-2) - [**Hardware Accelerators**](#hardware-accelerators-1) - [**Other**](#other-6) - [**Storage**](#storage-3)
Registered: Fri Nov 01 09:05:11 UTC 2024 - Last Modified: Tue Nov 16 10:46:27 UTC 2021 - 313.7K bytes - Viewed (0) -
CHANGELOG/CHANGELOG-1.21.md
VM Hardware version less than 15 is deprecated as of v1.21. Please consider upgrading the Node VM Hardware version to 15 or above. vSphere CSI Driver recommends Node VM's Hardware version set to at least vmx-15.
Registered: Fri Nov 01 09:05:11 UTC 2024 - Last Modified: Fri Oct 14 07:03:14 UTC 2022 - 367.3K bytes - Viewed (0) -
CHANGELOG/CHANGELOG-1.7.md
* Fix stop hook failure on kubernetes-worker charm * Fix handling of juju kubernetes-worker.restart-needed state * Fix nagios checks in charms * Enable GPU mode if GPU hardware detected ([#43467](https://github.com/kubernetes/kubernetes/pull/43467), [@tvansteenburgh](https://github.com/tvansteenburgh))
Registered: Fri Nov 01 09:05:11 UTC 2024 - Last Modified: Thu May 05 13:44:43 UTC 2022 - 308.7K bytes - Viewed (0) -
CHANGELOG/CHANGELOG-1.8.md
interactions between pods and host resources, and manage the lifecycle of pods scheduled on a node. For the 1.8 release, SIG Node continued to focus on a broad set of workload types, including hardware and performance sensitive workloads such as data analytics and deep learning. The SIG also delivered incremental improvements to node reliability. [SIG Node]: https://github.com/kubernetes/community/tree/master/sig-node
Registered: Fri Nov 01 09:05:11 UTC 2024 - Last Modified: Tue Feb 20 15:45:02 UTC 2024 - 312.2K bytes - Viewed (0) -
CHANGELOG/CHANGELOG-1.22.md
need. The most likely error would be a pod set to `Failed` phase with reason set to `OutOfCpu` or `OutOfMemory`, but any resource on the node that has some fixed limit (including persistent volume counts on cloud nodes, exclusive CPU cores, or unique hardware devices) could trigger the failure. While this behavior is correct it reduces the throughput of pod execution and creates user-visible warnings - [future versions of Kubernetes will minimize the likelihood users see pod failures due to this issu...
Registered: Fri Nov 01 09:05:11 UTC 2024 - Last Modified: Tue Dec 13 12:43:45 UTC 2022 - 454.1K bytes - Viewed (0)