Fix relative links issue in zh content (#13312)
* `http://kubernetes.io/docs/` -> `/docs/` * `https://kubernetes.io/docs/` -> `/docs/`
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chenrui
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Kubernetes Prow Robot
Kubernetes Prow Robot
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868899b059
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61ee18e87b
@@ -354,7 +354,7 @@ If `nodefs` filesystem has met eviction thresholds, `kubelet` frees up disk spac
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If the `kubelet` is unable to reclaim sufficient resource on the node, `kubelet` begins evicting Pods.
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The `kubelet` ranks Pods for eviction first by whether or not their usage of the starved resource exceeds requests,
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then by [Priority](https://kubernetes.io/docs/concepts/configuration/pod-priority-preemption/), and then by the consumption of the starved compute resource relative to the Pods' scheduling requests.
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then by [Priority](/docs/concepts/configuration/pod-priority-preemption/), and then by the consumption of the starved compute resource relative to the Pods' scheduling requests.
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As a result, `kubelet` ranks and evicts Pods in the following order:
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@@ -380,7 +380,7 @@ that consumes the largest amount of disk and kill those first.
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如果 `kubelet` 在节点上无法回收足够的资源，`kubelet` 将开始驱逐 pod。
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`kubelet` 首先根据他们对短缺资源的使用是否超过请求来排除 pod 的驱逐行为，然后通过[优先级](https://kubernetes.io/docs/concepts/configuration/pod-priority-preemption/)，然后通过相对于 pod 的调度请求消耗急需的计算资源。
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`kubelet` 首先根据他们对短缺资源的使用是否超过请求来排除 pod 的驱逐行为，然后通过[优先级](/docs/concepts/configuration/pod-priority-preemption/)，然后通过相对于 pod 的调度请求消耗急需的计算资源。
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`kubelet` 按以下顺序对要驱逐的 pod 排名：
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@@ -602,7 +602,7 @@ Kubernetes 可能会在创建新的日志文件时删除旧的日志文件; 您
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[auditing-proposal]: https://github.com/kubernetes/community/blob/master/contributors/design-proposals/api-machinery/auditing.md
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[auditing-api]: https://github.com/kubernetes/kubernetes/blob/{{< param "githubbranch" >}}/staging/src/k8s.io/apiserver/pkg/apis/audit/v1beta1/types.go
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[gce-audit-profile]: https://github.com/kubernetes/kubernetes/blob/{{< param "githubbranch" >}}/cluster/gce/gci/configure-helper.sh#L735
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[kubeconfig]: https://kubernetes.io/docs/tasks/access-application-cluster/configure-access-multiple-clusters/
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[kubeconfig]: /docs/tasks/access-application-cluster/configure-access-multiple-clusters/
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[fluentd]: http://www.fluentd.org/
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[fluentd_install_doc]: http://docs.fluentd.org/v0.12/articles/quickstart#step1-installing-fluentd
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[logstash]: https://www.elastic.co/products/logstash
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@@ -104,11 +104,11 @@ Metric server collects metrics from the Summary API, exposed by [Kubelet](/docs/
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<!--
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Metrics Server registered in the main API server through
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[Kubernetes aggregator](https://kubernetes.io/docs/concepts/api-extension/apiserver-aggregation/),
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[Kubernetes aggregator](/docs/concepts/api-extension/apiserver-aggregation/),
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which was introduced in Kubernetes 1.7.
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-->
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度量服务器通过 [Kubernetes 聚合器](https://kubernetes.io/docs/concepts/api-extension/apiserver-aggregation/)在主 API 服务器中注册，该聚合器是在 Kubernetes 1.7 版本中引入的。
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度量服务器通过 [Kubernetes 聚合器](/docs/concepts/api-extension/apiserver-aggregation/)在主 API 服务器中注册，该聚合器是在 Kubernetes 1.7 版本中引入的。
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<!--
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@@ -13,11 +13,11 @@ content_template: templates/task
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{{% capture overview %}}
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<!--
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Kubernetes applications usually consist of multiple, separate services, each running in its own container. Developing and debugging these services on a remote Kubernetes cluster can be cumbersome, requiring you to [get a shell on a running container](https://kubernetes.io/docs/tasks/debug-application-cluster/get-shell-running-container/) and running your tools inside the remote shell.
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Kubernetes applications usually consist of multiple, separate services, each running in its own container. Developing and debugging these services on a remote Kubernetes cluster can be cumbersome, requiring you to [get a shell on a running container](/docs/tasks/debug-application-cluster/get-shell-running-container/) and running your tools inside the remote shell.
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-->
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Kubernetes 应用程序通常由多个独立的服务组成，每个服务都在自己的容器中运行。
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在远端的 Kubernetes 集群上开发和调试这些服务可能很麻烦，需要[在运行的容器上打开 shell](https://kubernetes.io/docs/tasks/debug-application-cluster/get-shell-running-container/)，然后在远端 shell 中运行您所需的工具。
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在远端的 Kubernetes 集群上开发和调试这些服务可能很麻烦，需要[在运行的容器上打开 shell](/docs/tasks/debug-application-cluster/get-shell-running-container/)，然后在远端 shell 中运行您所需的工具。
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<!--
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`telepresence` is a tool to ease the process of developing and debugging services locally, while proxying the service to a remote Kubernetes cluster. Using `telepresence` allows you to use custom tools, such as a debugger and IDE, for a local service and provides the service full access to ConfigMap, secrets, and the services running on the remote cluster.
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@@ -124,5 +124,3 @@ Telepresence 有[多种代理选项](https://www.telepresence.io/reference/metho
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要了解更多信息，请访问 [Telepresence 网站](https://www.telepresence.io)。
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{{% /capture %}}
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@@ -32,7 +32,7 @@ Use the [Service Catalog Installer](https://github.com/GoogleCloudPlatform/k8s-s
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* Install [Go 1.6+](https://golang.org/dl/) and set the `GOPATH`.
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* Install the [cfssl](https://github.com/cloudflare/cfssl) tool needed for generating SSL artifacts.
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* Service Catalog requires Kubernetes version 1.7+.
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* [Install and setup kubectl](https://kubernetes.io/docs/tasks/tools/install-kubectl/) so that it is configured to connect to a Kubernetes v1.7+ cluster.
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* [Install and setup kubectl](/docs/tasks/tools/install-kubectl/) so that it is configured to connect to a Kubernetes v1.7+ cluster.
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* The kubectl user must be bound to the *cluster-admin* role for it to install Service Catalog. To ensure that this is true, run the following command:
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kubectl create clusterrolebinding cluster-admin-binding --clusterrole=cluster-admin --user=<user-name>
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@@ -41,7 +41,7 @@ Use the [Service Catalog Installer](https://github.com/GoogleCloudPlatform/k8s-s
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* 安装 [Go 1.6+](https://golang.org/dl/) 以及设置 `GOPATH`。
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* 安装生成 SSL 工件所需的 [cfssl](https://github.com/cloudflare/cfssl) 工具。
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* 服务目录需要 Kubernetes 1.7+ 版本。
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* [安装和设置 kubectl](https://kubernetes.io/docs/tasks/tools/install-kubectl/)，以便将其配置为连接到 Kubernetes v1.7+ 集群。
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* [安装和设置 kubectl](/docs/tasks/tools/install-kubectl/)，以便将其配置为连接到 Kubernetes v1.7+ 集群。
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* 要安装服务目录，kubectl 用户必须绑定到 *cluster-admin* 角色。为了确保这是正确的，请运行以下命令：
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kubectl create clusterrolebinding cluster-admin-binding --clusterrole=cluster-admin --user=<user-name>
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