[zh] Add cluster-autoscaling.md

Author: windsonsea

content/zh-cn/docs/concepts/cluster-administration/cluster-autoscaling.md

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+---
+title: 集群自动扩缩容
+linkTitle: 集群自动扩缩容
+description: >-
+  自动管理集群中的节点以适配需求。
+content_type: concept
+weight: 120
+---
+<!--
+title: Cluster Autoscaling
+linkTitle: Cluster Autoscaling
+description: >-
+  Automatically manage the nodes in your cluster to adapt to demand.
+content_type: concept
+weight: 120
+-->
+
+<!-- overview -->
+
+<!--
+Kubernetes requires {{< glossary_tooltip text="nodes" term_id="node" >}} in your cluster to
+run {{< glossary_tooltip text="pods" term_id="pod" >}}. This means providing capacity for
+the workload Pods and for Kubernetes itself.
+
+You can adjust the amount of resources available in your cluster automatically:
+_node autoscaling_. You can either change the number of nodes, or change the capacity
+that nodes provide. The first approach is referred to as _horizontal scaling_, while the
+second is referred to as _vertical scaling_.
+
+Kubernetes can even provide multidimensional automatic scaling for nodes.
+-->
+Kubernetes 需要集群中的{{< glossary_tooltip text="节点" term_id="node" >}}来运行
+{{< glossary_tooltip text="Pod" term_id="pod" >}}。
+这意味着需要为工作负载 Pod 以及 Kubernetes 本身提供容量。
+
+你可以自动调整集群中可用的资源量：**节点自动扩缩容**。
+你可以更改节点的数量，或者更改节点提供的容量。
+第一种方法称为**水平扩缩容**，而第二种方法称为**垂直扩缩容**。
+
+Kubernetes 甚至可以为节点提供多维度的自动扩缩容。
+
+<!-- body -->
+
+<!--
+## Manual node management
+
+You can manually manage node-level capacity, where you configure a fixed amount of nodes;
+you can use this approach even if the provisioning (the process to set up, manage, and
+decommission) for these nodes is automated.
+
+This page is about taking the next step, and automating management of the amount of
+node capacity (CPU, memory, and other node resources) available in your cluster.
+-->
+## 手动节点管理   {#manual-node-management}
+
+你可以手动管理节点级别的容量，例如你可以配置固定数量的节点；
+即使这些节点的制备（搭建、管理和停用过程）是自动化的，你也可以使用这种方法。
+
+本文介绍的是下一步操作，即自动化管理集群中可用的节点容量（CPU、内存和其他节点资源）。
+
+<!--
+## Automatic horizontal scaling {#autoscaling-horizontal}
+
+### Cluster Autoscaler
+
+You can use the [Cluster Autoscaler](http://github.com/kubernetes/autoscaler/tree/master/cluster-autoscaler) to manage the scale of your nodes automatically.
+The cluster autoscaler can integrate with a cloud provider, or with Kubernetes'
+[cluster API](http://github.com/kubernetes/autoscaler/blob/c6b754c359a8563050933a590f9a5dece823c836/cluster-autoscaler/cloudprovider/clusterapi/README.md),
+to achieve the actual node management that's needed.
+-->
+## 自动水平扩缩容   {#autoscaling-horizontal}
+
+### Cluster Autoscaler
+
+你可以使用 [Cluster Autoscaler](http://github.com/kubernetes/autoscaler/tree/master/cluster-autoscaler)
+自动管理节点的数目规模。Cluster Autoscaler 可以与云驱动或 Kubernetes 的
+[Cluster API](http://github.com/kubernetes/autoscaler/blob/c6b754c359a8563050933a590f9a5dece823c836/cluster-autoscaler/cloudprovider/clusterapi/README.md)
+集成，以完成实际所需的节点管理。
+
+<!--
+The cluster autoscaler adds nodes when there are unschedulable Pods, and
+removes nodes when those nodes are empty.
+
+#### Cloud provider integrations {#cluster-autoscaler-providers}
+
+The [README](http://github.com/kubernetes/autoscaler/tree/c6b754c359a8563050933a590f9a5dece823c836/cluster-autoscaler#readme)
+for the cluster autoscaler lists some of the cloud provider integrations
+that are available.
+-->
+当存在不可调度的 Pod 时，Cluster Autoscaler 会添加节点；
+当这些节点为空时，Cluster Autoscaler 会移除节点。
+
+#### 云驱动集成组件   {#cluster-autoscaler-providers}
+
+Cluster Autoscaler 的
+[README](http://github.com/kubernetes/autoscaler/tree/c6b754c359a8563050933a590f9a5dece823c836/cluster-autoscaler#readme)
+列举了一些可用的云驱动集成组件。
+
+<!--
+## Cost-aware multidimensional scaling {#autoscaling-multi-dimension}
+
+### Karpenter {#autoscaler-karpenter}
+
+[Karpenter](http://karpenter.sh/) supports direct node management, via
+plugins that integrate with specific cloud providers, and can manage nodes
+for you whilst optimizing for overall cost.
+-->
+## 成本感知多维度扩缩容   {#autoscaling-multi-dimension}
+
+### Karpenter   {#autoscaler-karpenter}
+
+[Karpenter](http://karpenter.sh/) 支持通过继承了特定云驱动的插件来直接管理节点，
+还可以在优化总体成本的同时为你管理节点。
+
+<!--
+> Karpenter automatically launches just the right compute resources to
+> handle your cluster's applications. It is designed to let you take
+> full advantage of the cloud with fast and simple compute provisioning
+> for Kubernetes clusters.
+-->
+> Karpenter 自动启动适合你的集群应用的计算资源。
+> Karpenter 设计为让你充分利用云资源，快速简单地为 Kubernetes 集群制备计算资源。
+
+<!--
+The Karpenter tool is designed to integrate with a cloud provider that
+provides API-driven server management, and where the price information for
+available servers is also available via a web API.
+
+For example, if you start some more Pods in your cluster, the Karpenter
+tool might buy a new node that is larger than one of the nodes you are
+already using, and then shut down an existing node once the new node
+is in service.
+-->
+Karpenter 工具设计为与云驱动集成，提供 API 驱动的服务器管理，
+此工具可以通过 Web API 获取可用服务器的价格信息。
+
+例如，如果你在集群中启动更多 Pod，Karpenter 工具可能会购买一个比你当前使用的节点更大的新节点，
+然后在这个新节点投入使用后关闭现有的节点。
+
+<!--
+#### Cloud provider integrations {#karpenter-providers}
+-->
+#### 云驱动集成组件 {#karpenter-providers}
+
+{{% thirdparty-content vendor="true" %}}
+
+<!--
+There are integrations available between Karpenter's core and the following
+cloud providers:
+
+- [Amazon Web Services](http://github.com/aws/karpenter-provider-aws)
+- [Azure](http://github.com/Azure/karpenter-provider-azure)
+-->
+在 Karpenter 的核心与以下云驱动之间，存在可用的集成组件：
+
+- [Amazon Web Services](http://github.com/aws/karpenter-provider-aws)
+- [Azure](http://github.com/Azure/karpenter-provider-azure)
+
+<!--
+## Related components
+
+### Descheduler
+
+The [descheduler](http://github.com/kubernetes-sigs/descheduler) can help you
+consolidate Pods onto a smaller number of nodes, to help with automatic scale down
+when the cluster has space capacity.
+-->
+## 相关组件   {#related-components}
+
+### Descheduler
+
+[Descheduler](http://github.com/kubernetes-sigs/descheduler)
+可以帮助你将 Pod 集中到少量节点上，以便在集群有空闲容量时帮助自动缩容。
+
+<!--
+### Sizing a workload based on cluster size
+
+#### Cluster proportional autoscaler
+
+For workloads that need to be scaled based on the size of the cluster (for example
+`cluster-dns` or other system components), you can use the
+[_Cluster Proportional Autoscaler_](http://github.com/kubernetes-sigs/cluster-proportional-autoscaler).<br />
+
+The Cluster Proportional Autoscaler watches the number of schedulable nodes
+and cores, and scales the number of replicas of the target workload accordingly.
+-->
+### 基于集群大小调整工作负载    {#sizing-a-workload-based-on-cluster-size}
+
+#### Cluster Proportional Autoscaler
+
+对于需要基于集群大小进行扩缩容的工作负载（例如 `cluster-dns` 或其他系统组件），
+你可以使用 [Cluster Proportional Autoscaler](http://github.com/kubernetes-sigs/cluster-proportional-autoscaler)。
+
+Cluster Proportional Autoscaler 监视可调度节点和核心的数量，并相应地调整目标工作负载的副本数量。
+
+<!--
+#### Cluster proportional vertical autoscaler
+
+If the number of replicas should stay the same, you can scale your workloads vertically according to the cluster size using
+the [_Cluster Proportional Vertical Autoscaler_](http://github.com/kubernetes-sigs/cluster-proportional-vertical-autoscaler).
+This project is in **beta** and can be found on GitHub.
+
+While the Cluster Proportional Autoscaler scales the number of replicas of a workload, the Cluster Proportional Vertical Autoscaler
+adjusts the resource requests for a workload (for example a Deployment or DaemonSet) based on the number of nodes and/or cores
+in the cluster.
+-->
+#### Cluster Proportional Vertical Autoscaler
+
+如果副本数量应该保持不变，你可以使用
+[Cluster Proportional Vertical Autoscaler](http://github.com/kubernetes-sigs/cluster-proportional-vertical-autoscaler)
+基于集群大小垂直扩缩你的工作负载。此项目处于 **Beta** 阶段，托管在 GitHub 上。
+
+Cluster Proportional Autoscaler 扩缩工作负载的副本数量，而 Cluster Proportional Vertical Autoscaler
+基于集群中的节点和/或核心数量调整工作负载（例如 Deployment 或 DaemonSet）的资源请求。
+
+## {{% heading "whatsnext" %}}
+
+<!--
+- Read about [workload-level autoscaling](/docs/concepts/workloads/autoscaling/)
+-->
+- 参阅[工作负载级别自动扩缩容](/zh-cn/docs/concepts/workloads/autoscaling/)