Merge pull request #29566 from mengjiao-liu/sync-1.22-part5

[zh] Setup files to sync for 1.22(part-5)

Author: k8s-ci-robot

content/zh/docs/setup/_index.md

@@ -1,9 +1,9 @@
 ---
-no_issue: true
 title: 入门
 main_menu: true
 weight: 20
 content_type: concept
+no_list: true
 card:
   name: setup
   weight: 20
@@ -19,11 +19,11 @@ reviewers:
 - brendandburns
 - erictune
 - mikedanese
-no_issue: true
 title: Getting started
 main_menu: true
 weight: 20
 content_type: concept
+no_list: true
 card:
   name: setup
   weight: 20
@@ -48,10 +48,17 @@ control, available resources, and expertise required to operate and manage a clu
 安装 Kubernetes 时，请根据以下条件选择安装类型：易于维护、安全性、可控制性、可用资源以及操作和管理 Kubernetes 集群所需的专业知识。
 
 <!--
-You can deploy a Kubernetes cluster on a local machine, cloud, on-prem datacenter, or choose a managed Kubernetes cluster. There are also custom solutions across a wide range of cloud providers, or bare metal environments.
--->
-可以在本地机器、云、本地数据中心上部署 Kubernetes 集群，或选择一个托管的 Kubernetes 集群。还可以跨各种云提供商或裸机环境创建自定义解决方案。
+You can [download Kubernetes](/releases/download/) to deploy a Kubernetes cluster
+on a local machine, into the cloud, or for your own datacenter.
 
+If you don't want to manage a Kubernetes cluster yourself, you could pick a managed service, including
+[certified platforms](/docs/setup/production-environment/turnkey-solutions/).
+There are also other standardized and custom solutions across a wide range of cloud and
+bare metal environments.
+-->。
+可以[下载 Kubernetes](/releases/download/)，在本地机器、云或你自己的数据中心上部署 Kubernetes 集群。
+如果你不想自己管理 Kubernetes 集群，则可以选择托管服务，包括[经过认证的平台](/zh/docs/setup/production-environment/turnkey-solutions/)。
+在各种云和裸机环境中，还有其他标准化和定制的解决方案。
 <!-- body -->
 
 <!--
@@ -60,22 +67,54 @@ You can deploy a Kubernetes cluster on a local machine, cloud, on-prem datacente
 ## 学习环境
 
 <!--
-If you're learning Kubernetes, use the tools supported by the Kubernetes community, or tools in the ecosystem to set up a Kubernetes cluster on a local machine.
+If you're learning Kubernetes, use the tools supported by the Kubernetes community,
+or tools in the ecosystem to set up a Kubernetes cluster on a local machine.
+See [Install tools](/docs/tasks/tools/).
 -->
-如果正打算学习 Kubernetes，请使用 Kubernetes 社区支持或生态系统中的工具在本地计算机上设置 Kubernetes 集群。
+如果正打算学习 Kubernetes，请使用 Kubernetes 社区支持
+或生态系统中的工具在本地计算机上设置 Kubernetes 集群。
+请参阅[安装工具](/zh/docs/tasks/tools/)。
 
 <!--
 ## Production environment
 -->
 ## 生产环境
 
 <!--
-When evaluating a solution for a production environment, consider which aspects of operating a Kubernetes cluster (or _abstractions_) you want to manage yourself or offload to a provider.
+When evaluating a solution for a
+[production environment](/docs/setup/production-environment/), consider which aspects of
+operating a Kubernetes cluster (or _abstractions_) you want to manage yourself and which you
+prefer to hand off to a provider.
+
+For a cluster you're managing yourself, the officially supported tool
+for deploying Kubernetes is [kubeadm](/docs/setup/production-environment/tools/kubeadm/).
 -->
-在评估生产环境的解决方案时，请考虑要管理自己 Kubernetes 集群（_抽象层面_）的哪些方面或将其转移给提供商。
+在评估[生产环境](/zh/docs/setup/production-environment/)的解决方案时，
+请考虑要自己管理 Kubernetes 集群（或相关抽象）的哪些方面，将哪些托付给提供商。
+
+对于你自己管理的集群，官方支持的用于部署 Kubernetes 的工具是 
+[kubeadm](/zh/docs/setup/production-environment/tools/kubeadm/)。
 
 <!--
-[Kubernetes Partners](https://kubernetes.io/partners/#conformance) includes a list of [Certified Kubernetes](https://github.com/cncf/k8s-conformance/#certified-kubernetes) providers.
+## {{% heading "whatsnext" %}}
+
+- [Download Kubernetes](/releases/download/)
+- Download and [install tools](/docs/tasks/tools/) including `kubectl`
+- Select a [container runtime](/docs/setup/production-environment/container-runtimes/) for your new cluster
+- Learn about [best practices](/docs/setup/best-practices/) for cluster setup
+
+Kubernetes is designed for its {{< glossary_tooltip term_id="control-plane" text="control plane" >}} to
+run on Linux. Within your cluster you can run applications on Linux or other operating systems, including
+Windows.
+- Learn to [set up clusters with Windows nodes](/docs/setup/production-environment/windows/)
 -->
-[Kubernetes 合作伙伴](https://kubernetes.io/zh/partners/#kcsp) 包括一个
-[已认证的 Kubernetes](https://github.com/cncf/k8s-conformance/#certified-kubernetes) 提供商列表。
+## {{% heading "whatsnext" %}}
+
+- [下载 Kubernetes](/releases/download/)
+- 下载并[安装工具](/zh/docs/tasks/tools/)，包括 kubectl 在内
+- 为新集群选择[容器运行时](/zh/docs/setup/production-environment/container-runtimes/)
+- 了解集群设置的[最佳实践](/zh/docs/setup/best-practices/)
+
+Kubernetes 的设计是让其{{< glossary_tooltip term_id="control-plane" text="控制平面" >}}在 Linux 上运行的。
+在集群中，你可以在 Linux 或其他操作系统（包括 Windows）上运行应用程序。
+- 学习[配置包含 Windows 节点的集群](/zh/docs/setup/production-environment/windows/)

content/zh/docs/setup/best-practices/cluster-large.md

@@ -25,12 +25,12 @@ Kubernetes {{< param "version" >}} 支持的最大节点数为 5000。
 更具体地说，Kubernetes旨在适应满足以下*所有*标准的配置：
 
 <!--
-* No more than 100 pods per node
+* No more than 110 pods per node
 * No more than 5000 nodes
 * No more than 150000 total pods
 * No more than 300000 total containers
 -->
-* 每个节点的 Pod 数量不超过 100
+* 每个节点的 Pod 数量不超过 110
 * 节点数不超过 5000
 * Pod 总数不超过 150000
 * 容器总数不超过 300000
@@ -46,7 +46,7 @@ on how your cluster is deployed.
 
 To avoid running into cloud provider quota issues, when creating a cluster with many nodes,
 consider:
-* Request a quota increase for cloud resources such as:
+* Requesting a quota increase for cloud resources such as:
     * Computer instances
     * CPUs
     * Storage volumes
@@ -55,7 +55,7 @@ consider:
     * Number of load balancers
     * Network subnets
     * Log streams
-* Gate the cluster scaling actions to brings up new nodes in batches, with a pause
+* Gating the cluster scaling actions to brings up new nodes in batches, with a pause
   between batches, because some cloud providers rate limit the creation of new instances.
 -->
 ## 云供应商资源配额 {#quota-issues}
@@ -132,6 +132,15 @@ When creating a cluster, you can (using custom tooling):
 * 启动并配置额外的 etcd 实例
 * 配置 {{< glossary_tooltip term_id="kube-apiserver" text="API 服务器" >}}，将它用于存储事件
 
+<!--
+See [Operating etcd clusters for Kubernetes](/docs/tasks/administer-cluster/configure-upgrade-etcd/) and
+[Set up a High Availability etcd cluster with kubeadm](/docs/setup/production-environment/tools/kubeadm/setup-ha-etcd-with-kubeadm/)
+for details on configuring and managing etcd for a large cluster.
+-->
+有关为大型集群配置和管理 etcd 的详细信息，请参阅
+[为 Kubernetes 运行 etcd 集群](/zh/docs/tasks/administer-cluster/configure-upgrade-etcd/)
+和使用 [kubeadm 创建一个高可用 etcd 集群](/zh/docs/setup/production-environment/tools/kubeadm/setup-ha-etcd-with-kubeadm/)。
+
 <!--
 ### Addon Resources
 -->
@@ -226,4 +235,12 @@ nodes for the level of resource demand in your cluster.
 以及如何使用它来扩展集群组件（包括对集群至关重要的插件）的信息。
 
 [集群自动扩缩器](https://github.com/kubernetes/autoscaler/tree/master/cluster-autoscaler#readme)
-与许多云供应商集成在一起，帮助你在你的集群中，按照资源需求级别运行正确数量的节点。
+与许多云供应商集成在一起，帮助你在你的集群中，按照资源需求级别运行正确数量的节点。
+
+<!-- 
+The [addon resizer](https://github.com/kubernetes/autoscaler/tree/master/addon-resizer#readme)
+helps you in resizing the addons automatically as your cluster's scale changes.
+-->
+
+[addon resizer](https://github.com/kubernetes/autoscaler/tree/master/addon-resizer#readme)
+可帮助你在集群规模变化时自动调整插件的大小。