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Clean up user journeys content for zh (#18815)

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Jie Shen 2020-01-23 07:24:50 +08:00 committed by Kubernetes Prow Robot
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reviewers:
- chenopis
layout: docsportal
css: /css/style_user_journeys.css
js: https://use.fontawesome.com/4bcc658a89.js, https://cdnjs.cloudflare.com/ajax/libs/prefixfree/1.0.7/prefixfree.min.js
title: 基础知识
track: "USERS › CLUSTER OPERATOR › FOUNDATIONAL"
content_template: templates/user-journey-content
---
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---
reviewers:
- chenopis
layout: docsportal
css: /css/style_user_journeys.css
js: https://use.fontawesome.com/4bcc658a89.js, https://cdnjs.cloudflare.com/ajax/libs/prefixfree/1.0.7/prefixfree.min.js
title: Foundational
track: "USERS › CLUSTER OPERATOR › FOUNDATIONAL"
content_template: templates/user-journey-content
---
-->
{{% capture overview %}}
<!--
If you want to learn how to get started managing and operating a Kubernetes cluster, this page and the linked topics introduce you to the foundational concepts and tasks.
This page introduces you to a Kubernetes cluster and key concepts to understand and manage it. The content focuses primarily on the cluster itself rather than the software running within the cluster.
-->
如果您想学习如何开始管理和操作 Kubernetes 集群，本页面和链接主题将向您介绍基础概念和任务。本页面向您介绍 Kubernetes 集群以及理解和管理它的关键概念。内容主要关注集群本身，而不是集群中运行的软件。
{{% /capture %}}
<!-- Foundational
Nodes, Pods, Networks, Deployments, Services, ConfigMaps, Secrets
Labels, Selectors, Annotations
Metrics
-->
{{% capture body %}}
<!--
## Get an overview of Kubernetes
-->
## Kubernetes 概要
<!--
If you have not already done so, start your understanding by reading through [What is Kubernetes?](/docs/concepts/overview/what-is-kubernetes/), which introduces a number of basic concepts and terms.
-->
如果你还没有这样做，请通过阅读[什么是 Kubernetes?](/docs/concepts/overview/what-is-kubernetes/)开始理解，其中介绍了许多基本概念和术语。
<!--
Kubernetes is quite flexible, and a cluster can be run in a wide variety of places. You can interact with Kubernetes entirely on your own laptop or local development machine with it running within a virtual machine. Kubernetes can also run on virtual machines hosted either locally or in a cloud provider, and you can run a Kubernetes cluster on bare metal.
-->
Kubernetes 非常灵活，集群可以在各种各样的地方运行。您可以在自己的笔记本电脑或本地开发机器上完全与 Kubernetes 交互，并在虚拟机中运行。Kubernetes 还可以在本地或云提供商托管的虚拟机上运行，并且您也可以在裸机上运行 Kubernetes 集群。
<!--
A cluster is made up of one or more [Nodes](/docs/concepts/architecture/nodes/); where a node is a physical or virtual machine.
If there is more than one node in your cluster then the nodes are connected with a [cluster network](/docs/concepts/cluster-administration/networking/).
Regardless of how many nodes, all Kubernetes clusters generally have the same components, which are described in [Kubernetes Components](/docs/concepts/overview/components).
-->
集群由一个或多个[节点](/docs/concepts/architecture/nodes/)组成；节点是物理机或虚拟机的位置。
如果集群中有多个节点，则节点将与[集群网络](/docs/concepts/cluster-administration/networking/)连接。
无论有多少个节点，所有 Kubernetes 集群通常具有相同的组件，这些组件在[Kubernetes 组件](/docs/concepts/overview/components)中有所描述。
<!--
## Learn about Kubernetes basics
-->
## 了解 Kubernetes 基础知识
<!--
A good way to become familiar with how to manage and operate a Kubernetes cluster is by setting one up.
One of the most compact ways to experiment with a cluster is [Installing and using Minikube](/docs/tasks/tools/install-minikube/).
Minikube is a command line tool for setting up and running a single-node cluster within a virtual machine on your local laptop or development computer. Minikube is even available through your browser at the [Katacoda Kubernetes Playground](https://www.katacoda.com/courses/kubernetes/playground).
Katacoda provides a browser-based connection to a single-node cluster, using minikube behind the scenes, to support a number of tutorials to explore Kubernetes. You can also leverage the web-based [Play with Kubernetes](http://labs.play-with-k8s.com/) to the same ends - a temporary cluster to play with on the web.
-->
一个熟悉如果管理和操作 Kubernetes 集群的好方法就是设置一个。
实验集群最紧凑的方法之一是[安装和使用 Minikube](/docs/tasks/tools/install-minikube/)。
Minikube 是一个命令行工具，用于在笔记本电脑或开发计算机上的虚拟机中设置和运行单节点集群。甚至可以通过[Katacoda Kubernetes Playground](https://www.katacoda.com/courses/kubernetes/playground)的浏览器获取 Minikube。
Katacoda 提供一个基于浏览器的连接到单节点集群，在幕后使用 minikube，支持一些教程来探索 Kubernetes。您还可以利用基于网络的[Play with Kubernetes](http://labs.play-with-k8s.com/)来实现相同目的——在网络上使用的临时集群。
<!--
You interact with Kubernetes either through a dashboard, an API, or using a command-line tool (such as `kubectl`) that interacts with the Kubernetes API.
Be familiar with [Organizing Cluster Access](/docs/concepts/configuration/organize-cluster-access-kubeconfig/) by using configuration files.
The Kubernetes API exposes a number of resources that provide the building blocks and abstractions that are used to run software on Kubernetes.
Learn more about these resources at [Understanding Kubernetes Objects](/docs/concepts/overview/working-with-objects/kubernetes-objects).
These resources are covered in a number of articles within the Kubernetes documentation.
-->
您可以通过 dashboard，API 或者使用命令行工具（例如`kubectl`）与 Kubernetes API 进行交互。
通过使用配置文件熟悉[组织群集访问](/docs/concepts/configuration/organize-cluster-access-kubeconfig/) 。
Kubernetes API 公开了许多资源，这些资源提供了在 Kubernetes 上运行软件的构建块和抽象。
在[Understanding Kubernetes Objects](/docs/concepts/overview/working-with-objects/kubernetes-objects)中了解有关这些资源的更多信息。
Kubernetes 文档中的许多文章都涵盖了这些资源。
<!--
* [Pod Overview](/docs/concepts/workloads/pods/pod-overview/)
* [Pods](/docs/concepts/workloads/pods/pod/)
* [ReplicaSets](/docs/concepts/workloads/controllers/replicaset/)
* [Deployments](/docs/concepts/workloads/controllers/deployment/)
* [Garbage Collection](/docs/concepts/workloads/controllers/garbage-collection/)
* [Container Images](/docs/concepts/containers/images/)
* [Container Environment Variables](/docs/concepts/containers/container-environment-variables/)
* [Labels and Selectors](/docs/concepts/overview/working-with-objects/labels/)
* [Namespaces](/docs/concepts/overview/working-with-objects/namespaces/)
* [Namespaces Walkthrough](/docs/tasks/administer-cluster/namespaces-walkthrough/)
* [Services](/docs/concepts/services-networking/service/)
* [Annotations](/docs/concepts/overview/working-with-objects/annotations/)
* [ConfigMaps](/docs/tasks/configure-pod-container/configure-pod-configmap/)
* [Secrets](/docs/concepts/configuration/secret/)
-->
* [Pod Overview](/docs/concepts/workloads/pods/pod-overview/)
* [Pods](/docs/concepts/workloads/pods/pod/)
* [ReplicaSets](/docs/concepts/workloads/controllers/replicaset/)
* [Deployments](/docs/concepts/workloads/controllers/deployment/)
* [垃圾收集](/docs/concepts/workloads/controllers/garbage-collection/)
* [容器镜像](/docs/concepts/containers/images/)
* [容器环境变量](/docs/concepts/containers/container-environment-variables/)
* [标签和选择器](/docs/concepts/overview/working-with-objects/labels/)
* [Namespaces](/docs/concepts/overview/working-with-objects/namespaces/)
* [Namespaces 演练](/docs/tasks/administer-cluster/namespaces-walkthrough/)
* [服务](/docs/concepts/services-networking/service/)
* [注解](/docs/concepts/overview/working-with-objects/annotations/)
* [ConfigMaps](/docs/tasks/configure-pod-container/configure-pod-configmap/)
* [Secrets](/docs/concepts/configuration/secret/)
<!--
As a cluster operator you may not need to use all these resources, although you should be familiar with them to understand how the cluster is being used.
There are a number of additional resources that you should be aware of, some listed under [Intermediate Resources](/docs/user-journeys/users/cluster-operator/intermediate#section-1).
You should also be familiar with [how to manage kubernetes resources](/docs/concepts/cluster-administration/manage-deployment/)
and [supported versions and version skew between cluster components](/docs/setup/release/version-skew-policy/).
-->
作为集群运算符，您可能不需要使用所有这些资源，尽管您应该熟悉它们以了解集群的使用方式。
您应该了解许多其他资源，其中一些列在[中间资源](/docs/user-journeys/users/cluster-operator/intermediate#section-1)下。
您还应该熟悉[如何管理 kubernetes 资源](/docs/concepts/cluster-administration/manage-deployment/)
和[支持的版本和集群组件之间的版本偏差](/docs/setup/release/version-skew-policy/)。
<!--
## Get information about your cluster
-->
## 获取有关集群的信息
<!--
You can [access clusters using the Kubernetes API](/docs/tasks/administer-cluster/access-cluster-api/).
If you are not already familiar with how to do this, you can review the [introductory tutorial](/docs/tutorials/kubernetes-basics/explore-intro/).
Using `kubectl`, you can retrieve information about your Kubernetes cluster very quickly.
To get basic information about the nodes in your cluster run the command `kubectl get nodes`.
You can get more detailed information for the same nodes with the command `kubectl describe nodes`.
You can see the status of the core of kubernetes with the command `kubectl get componentstatuses`.
-->
您可以[使用 Kubernetes API 访问集群](/docs/tasks/administer-cluster/access-cluster-api/)。
如果您还不熟悉如何执行此操作，可以查看[入门教程](/docs/tutorials/kubernetes-basics/explore-intro/)。
使用`kubectl`，您可以快速检索有关 Kubernetes 集群的信息。
要获取有关集群中节点的基本信息，请运行命令`kubectl get nodes`。
您可以使用命令`kubectl describe nodes`获取相同节点的更多详细信息。
您可以使用命令`kubectl get componentstatuses`查看 kubernetes 的核心状态。
<!--
Some additional resources for getting information about your cluster and how it is operating include:
* [Tools for Monitoring Compute, Storage, and Network Resources](/docs/tasks/debug-application-cluster/resource-usage-monitoring/)
* [Resource metrics pipeline](/docs/tasks/debug-application-cluster/resource-metrics-pipeline/)
* [Metrics](/docs/concepts/cluster-administration/controller-metrics/)
-->
用于获取有关集群及其运行方式信息的一些其他资源包括：
* [用于监控计算，存储和网络资源的工具](/docs/tasks/debug-application-cluster/resource-usage-monitoring/)
* [资源指标管道](/docs/tasks/debug-application-cluster/resource-metrics-pipeline/)
* [指标](/docs/concepts/cluster-administration/controller-metrics/)
<!--
## Explore additional resources
-->
## 探索其他资源
<!--
### Tutorials
-->
### 教程
<!--
* [Kubernetes Basics](/docs/tutorials/kubernetes-basics/)
* [Configuring Redis with a ConfigMap](/docs/tutorials/configuration/configure-redis-using-configmap/)
* Stateless Applications
* [Deploying PHP Guestbook with Redis](/docs/tutorials/stateless-application/guestbook/)
* [Expose an External IP address to access an application](/docs/tutorials/stateless-application/expose-external-ip-address/)
-->
* [Kubernetes 基础](/docs/tutorials/kubernetes-basics/)
* [使用 ConfigMap 配置 Redis](/docs/tutorials/configuration/configure-redis-using-configmap/)
* 无国籍申请
* [使用 Redis 部署 PHP 留言薄](/docs/tutorials/stateless-application/guestbook/)
* [公开外部 IP 地址以访问应用程序](/docs/tutorials/stateless-application/expose-external-ip-address/)
{{% /capture %}}

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reviewers:
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layout: docsportal
css: /css/style_user_journeys.css
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title: 中级
track: "USERS > CLUSTER OPERATOR > INTERMEDIATE"
content_template: templates/user-journey-content
---
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---
reviewers:
- chenopis
layout: docsportal
css: /css/style_user_journeys.css
js: https://use.fontawesome.com/4bcc658a89.js, https://cdnjs.cloudflare.com/ajax/libs/prefixfree/1.0.7/prefixfree.min.js
title: Intermediate
track: "USERS > CLUSTER OPERATOR > INTERMEDIATE"
content_template: templates/user-journey-content
---
-->
{{% capture overview %}}
<!--
If you are a cluster operator looking to expand your grasp of Kubernetes, this page and its linked topics extend the information provided on the [foundational cluster operator page](/docs/user-journeys/users/cluster-operator/foundational). From this page you can get information on key Kubernetes tasks needed to manage a complete production cluster.
-->
如果您是一个集群操作者，希望扩展对 Kubernetes 的理解，本页及其相关主题会扩展[基础集群操作者页面](/docs/user-journeys/users/cluster-operator/foundational)上提供的信息。在本页中，你可以获得如何管理一个完整生产集群的关键 Kubernetes 任务的信息。
{{% /capture %}}
{{% capture body %}}
<!--
## Work with ingress, networking, storage, and workloads
-->
## 使用 ingress，网络，存储和工作负载
<!--
Introductions to Kubernetes typically discuss simple stateless applications. As you move into more complex development, testing, and production environments, you need to consider more complex cases:
-->
Kubernetes 的介绍通常讨论简单的无状态应用程序。当您进入更复杂的开发，测试和生产环境时，您需要考虑更复杂的情况：
<!--
Communication: Ingress and Networking
* [Ingress](/docs/concepts/services-networking/ingress/)
-->
通信： Ingress 和网络
* [Ingress](/docs/concepts/services-networking/ingress/)
<!--
Storage: Volumes and PersistentVolumes
* [Volumes](/docs/concepts/storage/volumes/)
* [Persistent Volumes](/docs/concepts/storage/persistent-volumes/)
-->
存储：Volumes 和 PersistentVolumes
* [Volumes](/docs/concepts/storage/volumes/)
* [Persistent Volumes](/docs/concepts/storage/persistent-volumes/)
<!--
Workloads
* [DaemonSets](/docs/concepts/workloads/controllers/daemonset/)
* [Stateful Sets](/docs/concepts/workloads/controllers/statefulset/)
* [Jobs](/docs/concepts/workloads/controllers/jobs-run-to-completion/)
* [CronJobs](/docs/concepts/workloads/controllers/cron-jobs/)
-->
工作负载
* [DaemonSets](/docs/concepts/workloads/controllers/daemonset/)
* [Stateful Sets](/docs/concepts/workloads/controllers/statefulset/)
* [Jobs](/docs/concepts/workloads/controllers/jobs-run-to-completion/)
* [CronJobs](/docs/concepts/workloads/controllers/cron-jobs/)
<!--
Pods
* [Pod Lifecycle](/docs/concepts/workloads/pods/pod-lifecycle/)
* [Init Containers](/docs/concepts/workloads/pods/init-containers/)
* [Pod Presets](/docs/concepts/workloads/pods/podpreset/)
* [Container Lifecycle Hooks](/docs/concepts/containers/container-lifecycle-hooks/)
-->
Pods
* [Pod 生命周期](/docs/concepts/workloads/pods/pod-lifecycle/)
* [初始化容器](/docs/concepts/workloads/pods/init-containers/)
* [Pod 预置](/docs/concepts/workloads/pods/podpreset/)
* [容器生命周期挂钩](/docs/concepts/containers/container-lifecycle-hooks/)
<!--
And how Pods work with scheduling, priority, disruptions:
* [Taints and Tolerations](/docs/concepts/configuration/taint-and-toleration/)
* [Pods and Priority](/docs/concepts/configuration/pod-priority-preemption/)
* [Disruptions](/docs/concepts/workloads/pods/disruptions/)
* [Assigning Pods to Nodes](/docs/concepts/configuration/assign-pod-node/)
* [Managing Compute Resources for Containers](/docs/concepts/configuration/manage-compute-resources-container/)
* [Configuration Best Practices](/docs/concepts/configuration/overview/)
-->
以及 Pod 如何处理调度，优先级，中断：
* [污点和容忍度](/docs/concepts/configuration/taint-and-toleration/)
* [Pod 和优先级](/docs/concepts/configuration/pod-priority-preemption/)
* [中断](/docs/concepts/workloads/pods/disruptions/)
* [分配 Pod 到工作节点](/docs/concepts/configuration/assign-pod-node/)
* [管理容器的计算资源](/docs/concepts/configuration/manage-compute-resources-container/)
* [配置最佳实践](/docs/concepts/configuration/overview/)
<!--
## Implement security best practices
-->
## 实施安全最佳实践
<!--
Securing your cluster includes work beyond the scope of Kubernetes itself.
In Kubernetes, you configure access control:
* [Controlling Access to the Kubernetes API](/docs/reference/access-authn-authz/controlling-access/)
* [Authenticating](/docs/reference/access-authn-authz/authentication/)
* [Using Admission Controllers](/docs/reference/access-authn-authz/admission-controllers/)
-->
保护集群的工作超出了 Kubernetes 本身的范围。
在Kubernetes中，你可以配置访问的控制：
* [控制对 Kubernetes API 的访问](/docs/reference/access-authn-authz/controlling-access/)
* [身份认证](/docs/reference/access-authn-authz/authentication/)
* [使用准入控制](/docs/reference/access-authn-authz/admission-controllers/)
<!--
You also configure authorization. That is, you determine not just how users and services authenticate to the API server, or whether they have access, but also what resources they have access to. Role-based access control (RBAC) is the recommended mechanism for controlling authorization to Kubernetes resources. Other authorization modes are available for more specific use cases.
* [Authorization Overview](/docs/reference/access-authn-authz/authorization/)
* [Using RBAC Authorization](/docs/reference/access-authn-authz/rbac/)
You should create Secrets to hold sensitive data such as passwords, tokens, or keys. Be aware, however, that there are limitations to the protections that a Secret can provide. See [the Risks section of the Secrets documentation](/docs/concepts/configuration/secret/#risks).
-->
您还可以配置授权。也就是说，您不仅可以决定用户和服务如何向 API 服务器进行身份认证，或者确定他们是否可以访问，还可以决定他们有权访问哪些资源。基于角色的访问控制（RBAC）是控制对 Kubernetes 资源授权的推荐机制。其他授权模式可以用于更具体的使用场景。
* [授权概述](/docs/reference/access-authn-authz/authorization/)
* [使用 RBAC 授权](/docs/reference/access-authn-authz/rbac/)
您应该创建 Secrets 来保存敏感数据，例如密码，令牌或者密钥。但请注意，Secret 可以提供的保护存在限制。请参阅 [Secrets 文档中的风险部分](/docs/concepts/configuration/secret/#risks)。
<!-- TODO: Other security content? -->
<!--
## Implement custom logging and monitoring
-->
## 实现自定义日志和监控
<!--
Monitoring the health and state of your cluster is important. Collecting metrics, logging, and providing access to that information are common needs. Kubernetes provides some basic logging structure, and you may want to use additional tools to help aggregate and analyze log data.
-->
监控集群的健康和状态非常重要。收集指标，日志，并提供对这些信息的访问是常见的需求。Kubernetes 提供了一些基本的日志记录结构，您可能需要使用其他工具来帮助汇总和分析日志数据。
<!--
Start with the [basics on Kubernetes logging](/docs/concepts/cluster-administration/logging/) to understand how containers do logging and common patterns. Cluster operators often want to add something to gather and aggregate those logs. See the following topics:
* [Logging Using Elasticsearch and Kibana](/docs/tasks/debug-application-cluster/logging-elasticsearch-kibana/)
* [Logging Using Stackdriver](/docs/tasks/debug-application-cluster/logging-stackdriver/)
-->
从 [Kubernetes 日志基础知识](/docs/concepts/cluster-administration/logging/) 开始，了解容器如何执行日志记录和常见模式。集群运维人员通常希望添加一些东西来收集和聚合这些日志。请参阅以下主题：
* [使用 Elasticsearch 和 Kibana 记录日志](/docs/tasks/debug-application-cluster/logging-elasticsearch-kibana/)
* [使用 Stackdriver 记录日志](/docs/tasks/debug-application-cluster/logging-stackdriver/)
<!--
Like log aggregation, many clusters utilize additional software to help capture metrics and display them. There is an overview of tools at [Tools for Monitoring Compute, Storage, and Network Resources](/docs/tasks/debug-application-cluster/resource-usage-monitoring/).
Kubernetes also supports a [resource metrics pipeline](/docs/tasks/debug-application-cluster/resource-metrics-pipeline/) which can be used by Horizontal Pod Autoscaler with custom metrics.
-->
与日志聚合一样，许多集群使用其他软件来帮助捕获 metrics 并显示它们。这里是相关工具的概述：[用于监视计算，存储和网络资源的工具](/docs/tasks/debug-application-cluster/resource-usage-monitoring/)。Kubernetes 还支持[资源指标管道](/docs/tasks/debug-application-cluster/resource-metrics-pipeline/)，还可以在水平 Pod 自动伸缩器（Horizontal Pod Autoscaler）中使用自定义 metrics。
<!--
[Prometheus](https://prometheus.io/), another {{< glossary_tooltip text="CNCF" term_id="cncf" >}} project, is a common choice to support capture and temporary collection of metrics. There are several options for installing Prometheus, including using the [stable/prometheus](https://github.com/kubernetes/charts/tree/master/stable/prometheus) [helm](https://helm.sh/) chart, and CoreOS provides a [prometheus operator](https://github.com/coreos/prometheus-operator) and [kube-prometheus](https://github.com/coreos/prometheus-operator/tree/master/contrib/kube-prometheus), which adds on Grafana dashboards and common configurations.
-->
[Prometheus](https://prometheus.io/), 是另一个 {{< glossary_tooltip text="CNCF" term_id="cncf" >}} 项目, 它是支持捕获和临时收集指标的常用选择。安装 Prometheus 有几种方式，包括使用 [stable/prometheus](https://github.com/kubernetes/charts/tree/master/stable/prometheus) [helm](https://helm.sh/) chart, and CoreOS provides a [prometheus operator](https://github.com/coreos/prometheus-operator) and [kube-prometheus](https://github.com/coreos/prometheus-operator/tree/master/contrib/kube-prometheus), 增加了 Grafana 仪表板和常用配置。
<!--
A common configuration on [Minikube](https://github.com/kubernetes/minikube) and some Kubernetes clusters uses [Heapster](https://github.com/kubernetes/heapster)
[along with InfluxDB and Grafana](https://github.com/kubernetes/heapster/blob/master/docs/influxdb.md).
There is a [walkthrough of how to install this configuration in your cluster](https://blog.kublr.com/how-to-utilize-the-heapster-influxdb-grafana-stack-in-kubernetes-for-monitoring-pods-4a553f4d36c9).
As of Kubernetes 1.11, Heapster is deprecated, as per [sig-instrumentation](https://github.com/kubernetes/community/tree/master/sig-instrumentation). See [Prometheus vs. Heapster vs. Kubernetes Metrics APIs](https://brancz.com/2018/01/05/prometheus-vs-heapster-vs-kubernetes-metrics-apis/) for more information alternatives.
-->
[Minikube](https://github.com/kubernetes/minikube) 和某些 Kubernetes 集群的通常配置是[与 InfluxDB 和 Grafana 一起](https://github.com/kubernetes/heapster/blob/master/docs/influxdb.md)使用[Heapster](https://github.com/kubernetes/heapster)。这里有一个[如何在集群中安装这个配置的参考](https://blog.kublr.com/how-to-utilize-the-heapster-influxdb-grafana-stack-in-kubernetes-for-monitoring-pods-4a553f4d36c9)。截止 Kubernetes 1.11，根据[sig-instrumentation](https://github.com/kubernetes/community/tree/master/sig-instrumentation)，Heapster 已经弃用。更多信息，请参阅 [Prometheus vs. Heapster vs. Kubernetes Metrics APIs](https://brancz.com/2018/01/05/prometheus-vs-heapster-vs-kubernetes-metrics-apis/) 。
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Hosted monitoring, APM, or data analytics services such as [Datadog](https://docs.datadoghq.com/integrations/kubernetes/) or [Instana](https://www.instana.com/supported-integrations/kubernetes-monitoring/) also offer Kubernetes integration.
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托管监控，APM 或数据分析服务，例如[Datadog](https://docs.datadoghq.com/integrations/kubernetes/) 或者 [Instana](https://www.instana.com/supported-integrations/kubernetes-monitoring/) 也提供 Kubernetes 集成。
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## Additional resources
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## 其他资源
<!--
Cluster Administration:
* [Troubleshoot Clusters](/docs/tasks/debug-application-cluster/debug-cluster/)
* [Debug Pods and Replication Controllers](/docs/tasks/debug-application-cluster/debug-pod-replication-controller/)
* [Debug Init Containers](/docs/tasks/debug-application-cluster/debug-init-containers/)
* [Debug Stateful Sets](/docs/tasks/debug-application-cluster/debug-stateful-set/)
* [Debug Applications](/docs/tasks/debug-application-cluster/debug-application/)
* [Using explorer to investigate your cluster](https://github.com/kubernetes/examples/blob/master/staging/explorer/README.md)
-->
集群管理：
* [集群故障排除](/docs/tasks/debug-application-cluster/debug-cluster/)
* [调试 Pod 和 Replication Controller](/docs/tasks/debug-application-cluster/debug-pod-replication-controller/)
* [调试初始化容器](/docs/tasks/debug-application-cluster/debug-init-containers/)
* [调试 Stateful Set](/docs/tasks/debug-application-cluster/debug-stateful-set/)
* [调试应用程序](/docs/tasks/debug-application-cluster/debug-application/)
* [使用资源管理器来调查您的集群](https://github.com/kubernetes/examples/blob/master/staging/explorer/README.md)
{{% /capture %}}