From a2c50ae321fdc0602a3093ab41ff21007f8a1f9c Mon Sep 17 00:00:00 2001
From: Michael <cloudyonspring@126.com>
Date: Tue, 13 Dec 2022 20:59:56 +0800
Subject: [PATCH] [zh] sync /instrumentation/slis.md

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+---
+title: Kubernetes 组件 SLI 指标
+linkTitle: 服务水平指示器指标
+content_type: reference
+weight: 20
+---
+<!--
+reviewers:
+- logicalhan
+title: Kubernetes Component SLI Metrics
+linkTitle: Service Level Indicator Metrics
+content_type: reference
+weight: 20
+-->
+
+<!-- overview -->
+
+{{< feature-state for_k8s_version="v1.26" state="alpha" >}}
+
+<!--
+As an alpha feature, Kubernetes lets you configure Service Level Indicator (SLI) metrics 
+for each Kubernetes component binary. This metric endpoint is exposed on the serving 
+HTTPS port of each component, at the path `/metrics/slis`. You must enable the 
+`ComponentSLIs` [feature gate](/docs/reference/command-line-tools-reference/feature-gates/)
+for every component from which you want to scrape SLI metrics.
+-->
+作为一个 Alpha 特性，Kubernetes 允许你为每个 Kubernetes 组件二进制文件配置服务水平指示器 (SLI) 指标。
+此指标端点被暴露在每个组件提供 HTTPS 服务的端口上，路径为 `/metrics/slis`。
+你必须为想要抓取 SLI 指标的每个组件启用 `ComponentSLIs`
+[特性门控](/zh-cn/docs/reference/command-line-tools-reference/feature-gates/)。
+
+<!-- body -->
+
+<!--
+## SLI Metrics
+
+With SLI metrics enabled, each Kubernetes component exposes two metrics,
+labeled per healthcheck:
+
+- a gauge (which represents the current state of the healthcheck)
+- a counter (which records the cumulative counts observed for each healthcheck state)
+-->
+## SLI 指标   {#sli-metrics}
+
+启用 SLI 指标时，每个 Kubernetes 组件暴露两个指标，按照健康检查添加标签：
+
+- 计量值（表示健康检查的当前状态）
+- 计数值（记录观察到的每个健康检查状态的累计次数）
+
+<!--
+You can use the metric information to calculate per-component availability statistics.
+For example, the API server checks the health of etcd. You can work out and report how
+available or unavailable etcd has been - as reported by its client, the API server.
+
+The prometheus gauge data looks like this:
+-->
+你可以使用此指标信息计算每个组件的可用性统计信息。例如，API 服务器检查 etcd 的健康。
+你可以计算并报告 etcd 的可用或不可用情况，具体由其客户端（即 API 服务器）进行报告。
+
+Prometheus 计量表数据看起来类似于：
+
+```
+# HELP kubernetes_healthcheck [ALPHA] This metric records the result of a single healthcheck.
+# TYPE kubernetes_healthcheck gauge
+kubernetes_healthcheck{name="autoregister-completion",type="healthz"} 1
+kubernetes_healthcheck{name="autoregister-completion",type="readyz"} 1
+kubernetes_healthcheck{name="etcd",type="healthz"} 1
+kubernetes_healthcheck{name="etcd",type="readyz"} 1
+kubernetes_healthcheck{name="etcd-readiness",type="readyz"} 1
+kubernetes_healthcheck{name="informer-sync",type="readyz"} 1
+kubernetes_healthcheck{name="log",type="healthz"} 1
+kubernetes_healthcheck{name="log",type="readyz"} 1
+kubernetes_healthcheck{name="ping",type="healthz"} 1
+kubernetes_healthcheck{name="ping",type="readyz"} 1
+```
+
+<!--
+While the counter data looks like this:
+-->
+而计数器数据看起来类似于：
+
+```
+# HELP kubernetes_healthchecks_total [ALPHA] This metric records the results of all healthcheck.
+# TYPE kubernetes_healthchecks_total counter
+kubernetes_healthchecks_total{name="autoregister-completion",status="error",type="readyz"} 1
+kubernetes_healthchecks_total{name="autoregister-completion",status="success",type="healthz"} 15
+kubernetes_healthchecks_total{name="autoregister-completion",status="success",type="readyz"} 14
+kubernetes_healthchecks_total{name="etcd",status="success",type="healthz"} 15
+kubernetes_healthchecks_total{name="etcd",status="success",type="readyz"} 15
+kubernetes_healthchecks_total{name="etcd-readiness",status="success",type="readyz"} 15
+kubernetes_healthchecks_total{name="informer-sync",status="error",type="readyz"} 1
+kubernetes_healthchecks_total{name="informer-sync",status="success",type="readyz"} 14
+kubernetes_healthchecks_total{name="log",status="success",type="healthz"} 15
+kubernetes_healthchecks_total{name="log",status="success",type="readyz"} 15
+kubernetes_healthchecks_total{name="ping",status="success",type="healthz"} 15
+kubernetes_healthchecks_total{name="ping",status="success",type="readyz"} 15
+```
+
+<!--
+## Using this data
+
+The component SLIs metrics endpoint is intended to be scraped at a high frequency. Scraping
+at a high frequency means that you end up with greater granularity of the gauge's signal, which
+can be then used to calculate SLOs. The `/metrics/slis` endpoint provides the raw data necessary
+to calculate an availability SLO for the respective Kubernetes component.
+-->
+## 使用此类数据   {#using-this-data}
+
+组件 SLI 指标端点旨在以高频率被抓取。
+高频率抓取意味着你最终会获得更细粒度的计量信号，然后可以将其用于计算 SLO。
+`/metrics/slis` 端点为各个 Kubernetes 组件提供了计算可用性 SLO 所需的原始数据。