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Fix incorrect changelog - dynamic kubelet config is not beta

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Michael Taufen 2018-03-27 09:43:25 -07:00
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CHANGELOG-1.10.md
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@ -157,7 +157,7 @@ filename | sha256 hash
### Node ### Node
Many of the changes within SIG-Node revolve around control, with the beta release of [Dynamic Kubelet Configuration](https://github.com/kubernetes/features/issues/281), the ability to make changes to Kubelet without having to bring down the node, and alpha support for the ability to [configure whether containers in a pod should share a single process namespace](https://github.com/kubernetes/features/issues/495), The CRI has also seen some improvements and has been upgraded to v1alpha2, with support for [support for Windows Container Configuration](https://github.com/kubernetes/features/issues/547) and the beta release of the [CRI validation test suite](https://github.com/kubernetes/features/issues/292). Many of the changes within SIG-Node revolve around control. With the beta release of the `kubelet.config.k8s.io` API group, a significant subset of Kubelet configuration can now be [configured via a versioned config file](https://kubernetes.io/docs/tasks/administer-cluster/kubelet-config-file/). Kubernetes v1.10 adds alpha support for the ability to [configure whether containers in a pod should share a single process namespace](https://github.com/kubernetes/features/issues/495), and the CRI has been upgraded to v1alpha2, which adds [support for Windows Container Configuration](https://github.com/kubernetes/features/issues/547). Kubernetes v1.10 also ships with the beta release of the [CRI validation test suite](https://github.com/kubernetes/features/issues/292).
The Resource Management Working Group graduated three features to beta in the 1.10 release. First, [CPU Manager](https://kubernetes.io/docs/tasks/administer-cluster/cpu-management-policies/), which allows users to request exclusive CPU cores. This helps performance in a variety of use-cases, including network latency sensitive applications, as well as applications that benefit from CPU cache residency. Next, [Huge Pages](https://kubernetes.io/docs/tasks/manage-hugepages/scheduling-hugepages/), which allows pods to consume either 2Mi or 1Gi Huge Pages. This benefits applications that consume large amounts of memory. Use of Huge Pages is a common tuning recommendation for databases and JVMs. Finally, the [Device Plugin](https://kubernetes.io/docs/concepts/cluster-administration/device-plugins/) feature, which provides a framework for vendors to advertise their resources to the Kubelet without changing Kubernetes core code. Targeted devices include GPUs, High-performance NICs, FPGAs, InfiniBand, and other similar computing resources that may require vendor specific initialization and setup. The Resource Management Working Group graduated three features to beta in the 1.10 release. First, [CPU Manager](https://kubernetes.io/docs/tasks/administer-cluster/cpu-management-policies/), which allows users to request exclusive CPU cores. This helps performance in a variety of use-cases, including network latency sensitive applications, as well as applications that benefit from CPU cache residency. Next, [Huge Pages](https://kubernetes.io/docs/tasks/manage-hugepages/scheduling-hugepages/), which allows pods to consume either 2Mi or 1Gi Huge Pages. This benefits applications that consume large amounts of memory. Use of Huge Pages is a common tuning recommendation for databases and JVMs. Finally, the [Device Plugin](https://kubernetes.io/docs/concepts/cluster-administration/device-plugins/) feature, which provides a framework for vendors to advertise their resources to the Kubelet without changing Kubernetes core code. Targeted devices include GPUs, High-performance NICs, FPGAs, InfiniBand, and other similar computing resources that may require vendor specific initialization and setup.