[zh-cn] sync secret cluster-large resource-usage-monitoring

content/zh-cn/docs/concepts/configuration/secret.md

@@ -1,5 +1,8 @@
 ---
 title: Secret
+api_metadata:
+- apiVersion: "v1"
+  kind: "Secret"
 content_type: concept
 feature:
   title: Secret 和配置管理
@@ -12,6 +15,9 @@ weight: 30
 reviewers:
 - mikedanese
 title: Secrets
+api_metadata:
+- apiVersion: "v1"
+  kind: "Secret"
 content_type: concept
 feature:
   title: Secret and configuration management

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

@@ -224,16 +224,13 @@ Learn more about [Vertical Pod Autoscaler](https://github.com/kubernetes/autosca
 and how you can use it to scale cluster
 components, including cluster-critical addons.
 
-* The [cluster autoscaler](https://github.com/kubernetes/autoscaler/tree/master/cluster-autoscaler#readme)
-integrates with a number of cloud providers to help you run the right number of
-nodes for the level of resource demand in your cluster.
+* Read about [cluster autoscaling](/docs/concepts/cluster-administration/cluster-autoscaling/)
 -->
 * `VerticalPodAutoscaler` 是一种自定义资源，你可以将其部署到集群中，帮助你管理 Pod 的资源请求和资源限制。
   了解有关 [Vertical Pod Autoscaler](https://github.com/kubernetes/autoscaler/tree/master/vertical-pod-autoscaler#readme)
   的更多信息，了解如何用它扩展集群组件（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。
+* 阅读关于[集群自动扩缩容](/zh-cn/docs/concepts/cluster-administration/cluster-autoscaling/)的信息。
 
 <!-- 
 * The [addon resizer](https://github.com/kubernetes/autoscaler/tree/master/addon-resizer#readme)

content/zh-cn/docs/tasks/debug/debug-cluster/resource-usage-monitoring.md

@@ -150,7 +150,7 @@ solutions.
 The choice of monitoring platform depends heavily on your needs, budget, and technical resources.
 Kubernetes does not recommend any specific metrics pipeline; [many options](https://landscape.cncf.io/?group=projects-and-products&view-mode=card#observability-and-analysis--monitoring) are available.
 Your monitoring system should be capable of handling the [OpenMetrics](https://openmetrics.io/) metrics
-transmission standard, and needs to chosen to best fit in to your overall design and deployment of
+transmission standard and needs to be chosen to best fit into your overall design and deployment of
 your infrastructure platform. 
 -->
 将完整的指标管道集成到 Kubernetes 实现中超出了 Kubernetes