[zh-cn] Translate docs/reference/instrumentation/cri-pod-container-metrics.md

content/zh-cn/docs/reference/instrumentation/cri-pod-container-metrics.md

@@ -0,0 +1,67 @@
+---
+title: CRI Pod 和容器指标
+content_type: reference
+weight: 50
+description: >-
+  通过 CRI 收集 Pod 和容器指标
+---
+<!--
+title: CRI Pod & Container Metrics
+content_type: reference
+weight: 50
+description: >-
+  Collection of Pod & Container metrics via the CRI.
+-->
+
+<!-- overview -->
+
+{{< feature-state for_k8s_version="v1.23" state="alpha" >}}
+<!--
+The [kubelet](/docs/reference/command-line-tools-reference/kubelet/) collects pod and
+container metrics via [cAdvisor](https://github.com/google/cadvisor). As an alpha feature,
+Kubernetes lets you configure the collection of pod and container
+metrics via the {{< glossary_tooltip term_id="cri" text="Container Runtime Interface">}} (CRI). You
+must enable the `PodAndContainerStatsFromCRI` [feature gate](/docs/reference/command-line-tools-reference/feature-gates/) and
+use a compatible CRI implementation (containerd >= 1.6.0, CRI-O >= 1.23.0) to
+use the CRI based collection mechanism.
+-->
+[kubelet](/zh-cn/docs/reference/command-line-tools-reference/kubelet/) 通过
+[cAdvisor](https://github.com/google/cadvisor) 收集 Pod 和容器指标。作为一个 Alpha 特性，
+Kubernetes 允许你通过{{< glossary_tooltip term_id="cri" text="容器运行时接口">}}（CRI）
+配置收集 Pod 和容器指标。要使用基于 CRI 的收集机制，你必须启用 `PodAndContainerStatsFromCRI`
+[特性门控](/zh-cn/docs/reference/command-line-tools-reference/feature-gates/)
+并使用兼容的 CRI 实现（containerd >= 1.6.0, CRI-O >= 1.23.0）。 
+
+<!-- body -->
+
+<!--
+## CRI Pod & Container Metrics
+
+With `PodAndContainerStatsFromCRI` enabled, the kubelet polls the underlying container
+runtime for pod and container stats instead of inspecting the host system directly using cAdvisor.
+The benefits of relying on the container runtime for this information as opposed to direct
+collection with cAdvisor include:
+-->
+## CRI Pod 和容器指标   {#cri-pod-container-metrics}
+
+当启用 `PodAndContainerStatsFromCRI` 时，Kubelet 轮询底层容器运行时以获取
+Pod 和容器统计信息，而不是直接使用 cAdvisor 检查主机系统。同直接使用 cAdvisor
+收集信息相比，依靠容器运行时获取这些信息的好处包括：
+
+<!--
+- Potential improved performance if the container runtime already collects this information
+  during normal operations. In this case, the data can be re-used instead of being aggregated
+  again by the kubelet.
+-->
+- 潜在的性能改善，如果容器运行时在正常操作中已经收集了这些信息。
+  在这种情况下，这些数据可以被重用，而不是由 Kubelet 再次进行聚合。
+
+<!--
+- It further decouples the kubelet and the container runtime allowing collection of metrics for
+  container runtimes that don't run processes directly on the host with kubelet where they are
+  observable by cAdvisor (for example: container runtimes that use virtualization).
+-->
+- 这种做法进一步解耦了 Kubelet 和容器运行时。
+  对于使用 Kubelet 来在主机上运行进程的容器运行时，其行为可用 cAdvisor 观测；
+  对于其他运行时（例如，使用虚拟化的容器运行时）而言，
+  这种做法提供了允许收集容器运行时指标的可能性。