Merge pull request #33348 from kinzhi/kinzhi63
[zh]Update content/zh/docs/concepts/configuration/manage-resources-containers.md
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@@ -411,9 +411,9 @@ see the [Troubleshooting](#troubleshooting) section.
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The kubelet reports the resource usage of a Pod as part of the Pod
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[`status`](/docs/concepts/overview/working-with-objects/kubernetes-objects/#object-spec-and-status).
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If optional [tools for monitoring](/docs/tasks/debug-application-cluster/resource-usage-monitoring/)
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If optional [tools for monitoring](/docs/tasks/debug/debug-cluster/resource-usage-monitoring/)
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are available in your cluster, then Pod resource usage can be retrieved either
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from the [Metrics API](/docs/tasks/debug-application-cluster/resource-metrics-pipeline/#the-metrics-api)
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from the [Metrics API](/docs/tasks/debug/debug-cluster/resource-metrics-pipeline/#metrics-api)
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directly or from your monitoring tools.
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-->
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## 监控计算和内存资源用量
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@@ -422,8 +422,8 @@ kubelet 会将 Pod 的资源使用情况作为 Pod
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[`status`](/zh/docs/concepts/overview/working-with-objects/kubernetes-objects/#object-spec-and-status)
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的一部分来报告的。
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如果为集群配置了可选的[监控工具](/zh/docs/tasks/debug-application-cluster/resource-usage-monitoring/),
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则可以直接从[指标 API](/zh/docs/tasks/debug-application-cluster/resource-metrics-pipeline/#the-metrics-api)
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如果为集群配置了可选的[监控工具](/zh/docs/tasks/debug/debug-cluster/resource-usage-monitoring/),
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则可以直接从[指标 API](/zh/docs/tasks/debug/debug-cluster/resource-metrics-pipeline/#metrics-api)
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或者监控工具获得 Pod 的资源使用情况。
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<!--
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