Tweak line wrapping for system-metrics page

tengqm · tengqm · commit 39bfd1e85838 · 2022-10-08T16:19:16.000+08:00
This PR wrapps the long lines found in the system-metrics.md page.
diff --git a/content/en/docs/concepts/cluster-administration/system-metrics.md b/content/en/docs/concepts/cluster-administration/system-metrics.md
@@ -10,7 +10,8 @@ weight: 60
 
 <!-- overview -->
 
-System component metrics can give a better look into what is happening inside them. Metrics are particularly useful for building dashboards and alerts.
+System component metrics can give a better look into what is happening inside them. Metrics are
+particularly useful for building dashboards and alerts.
 
 Kubernetes components emit metrics in [Prometheus format](https://prometheus.io/docs/instrumenting/exposition_formats/).
 This format is structured plain text, designed so that people and machines can both read it.
@@ -19,7 +20,8 @@ This format is structured plain text, designed so that people and machines can b
 
 ## Metrics in Kubernetes
 
-In most cases metrics are available on `/metrics` endpoint of the HTTP server. For components that doesn't expose endpoint by default it can be enabled using `--bind-address` flag.
+In most cases metrics are available on `/metrics` endpoint of the HTTP server. For components that
+doesn't expose endpoint by default it can be enabled using `--bind-address` flag.
 
 Examples of those components:
 
@@ -29,13 +31,18 @@ Examples of those components:
 * {{< glossary_tooltip term_id="kube-scheduler" text="kube-scheduler" >}}
 * {{< glossary_tooltip term_id="kubelet" text="kubelet" >}}
 
-In a production environment you may want to configure [Prometheus Server](https://prometheus.io/) or some other metrics scraper
-to periodically gather these metrics and make them available in some kind of time series database.
+In a production environment you may want to configure [Prometheus Server](https://prometheus.io/)
+or some other metrics scraper to periodically gather these metrics and make them available in some
+kind of time series database.
 
-Note that {{< glossary_tooltip term_id="kubelet" text="kubelet" >}} also exposes metrics in `/metrics/cadvisor`, `/metrics/resource` and `/metrics/probes` endpoints. Those metrics do not have same lifecycle.
+Note that {{< glossary_tooltip term_id="kubelet" text="kubelet" >}} also exposes metrics in
+`/metrics/cadvisor`, `/metrics/resource` and `/metrics/probes` endpoints. Those metrics do not
+have same lifecycle.
+
+If your cluster uses {{< glossary_tooltip term_id="rbac" text="RBAC" >}}, reading metrics requires
+authorization via a user, group or ServiceAccount with a ClusterRole that allows accessing
+`/metrics`. For example:
 
-If your cluster uses {{< glossary_tooltip term_id="rbac" text="RBAC" >}}, reading metrics requires authorization via a user, group or ServiceAccount with a ClusterRole that allows accessing `/metrics`.
-For example:
 ```yaml
 apiVersion: rbac.authorization.k8s.io/v1
 kind: ClusterRole
@@ -55,6 +62,7 @@ Alpha metric →  Stable metric →  Deprecated metric →  Hidden metric → De
 Alpha metrics have no stability guarantees. These metrics can be modified or deleted at any time.
 
 Stable metrics are guaranteed to not change. This means:
+
 * A stable metric without a deprecated signature will not be deleted or renamed
 * A stable metric's type will not be modified
 
@@ -79,45 +87,64 @@ For example:
   some_counter 0
   ```
 
-Hidden metrics are no longer published for scraping, but are still available for use. To use a hidden metric, please refer to the [Show hidden metrics](#show-hidden-metrics) section. 
+Hidden metrics are no longer published for scraping, but are still available for use. To use a
+hidden metric, please refer to the [Show hidden metrics](#show-hidden-metrics) section. 
 
 Deleted metrics are no longer published and cannot be used.
 
-
 ## Show hidden metrics
 
-As described above, admins can enable hidden metrics through a command-line flag on a specific binary. This intends to be used as an escape hatch for admins if they missed the migration of the metrics deprecated in the last release.
+As described above, admins can enable hidden metrics through a command-line flag on a specific
+binary. This intends to be used as an escape hatch for admins if they missed the migration of the
+metrics deprecated in the last release.
 
-The flag `show-hidden-metrics-for-version` takes a version for which you want to show metrics deprecated in that release. The version is expressed as x.y, where x is the major version, y is the minor version. The patch version is not needed even though a metrics can be deprecated in a patch release, the reason for that is the metrics deprecation policy runs against the minor release.
+The flag `show-hidden-metrics-for-version` takes a version for which you want to show metrics
+deprecated in that release. The version is expressed as x.y, where x is the major version, y is
+the minor version. The patch version is not needed even though a metrics can be deprecated in a
+patch release, the reason for that is the metrics deprecation policy runs against the minor release.
 
-The flag can only take the previous minor version as it's value. All metrics hidden in previous will be emitted if admins set the previous version to `show-hidden-metrics-for-version`. The too old version is not allowed because this violates the metrics deprecated policy.
+The flag can only take the previous minor version as it's value. All metrics hidden in previous
+will be emitted if admins set the previous version to `show-hidden-metrics-for-version`. The too
+old version is not allowed because this violates the metrics deprecated policy.
 
-Take metric `A` as an example, here assumed that `A` is deprecated in 1.n. According to metrics deprecated policy, we can reach the following conclusion:
+Take metric `A` as an example, here assumed that `A` is deprecated in 1.n. According to metrics
+deprecated policy, we can reach the following conclusion:
 
 * In release `1.n`, the metric is deprecated, and it can be emitted by default.
-* In release `1.n+1`, the metric is hidden by default and it can be emitted by command line `show-hidden-metrics-for-version=1.n`.
+* In release `1.n+1`, the metric is hidden by default and it can be emitted by command line
+  `show-hidden-metrics-for-version=1.n`.
 * In release `1.n+2`, the metric should be removed from the codebase. No escape hatch anymore.
 
-If you're upgrading from release `1.12` to `1.13`, but still depend on a metric `A` deprecated in `1.12`, you should set hidden metrics via command line: `--show-hidden-metrics=1.12` and remember to remove this metric dependency before upgrading to `1.14`
+If you're upgrading from release `1.12` to `1.13`, but still depend on a metric `A` deprecated in
+`1.12`, you should set hidden metrics via command line: `--show-hidden-metrics=1.12` and remember
+to remove this metric dependency before upgrading to `1.14`
 
 ## Disable accelerator metrics
 
-The kubelet collects accelerator metrics through cAdvisor. To collect these metrics, for accelerators like NVIDIA GPUs, kubelet held an open handle on the driver. This meant that in order to perform infrastructure changes (for example, updating the driver), a cluster administrator needed to stop the kubelet agent.
+The kubelet collects accelerator metrics through cAdvisor. To collect these metrics, for
+accelerators like NVIDIA GPUs, kubelet held an open handle on the driver. This meant that in order
+to perform infrastructure changes (for example, updating the driver), a cluster administrator
+needed to stop the kubelet agent.
 
-The responsibility for collecting accelerator metrics now belongs to the vendor rather than the kubelet. Vendors must provide a container that collects metrics and exposes them to the metrics service (for example, Prometheus).
+The responsibility for collecting accelerator metrics now belongs to the vendor rather than the
+kubelet. Vendors must provide a container that collects metrics and exposes them to the metrics
+service (for example, Prometheus).
 
-The [`DisableAcceleratorUsageMetrics` feature gate](/docs/reference/command-line-tools-reference/feature-gates/) disables metrics collected by the kubelet, with a [timeline for enabling this feature by default](https://github.com/kubernetes/enhancements/tree/411e51027db842355bd489691af897afc1a41a5e/keps/sig-node/1867-disable-accelerator-usage-metrics#graduation-criteria).
+The [`DisableAcceleratorUsageMetrics` feature gate](/docs/reference/command-line-tools-reference/feature-gates/)
+disables metrics collected by the kubelet, with a
+[timeline for enabling this feature by default](https://github.com/kubernetes/enhancements/tree/411e51027db842355bd489691af897afc1a41a5e/keps/sig-node/1867-disable-accelerator-usage-metrics#graduation-criteria).
 
 ## Component metrics
 
 ### kube-controller-manager metrics
 
-Controller manager metrics provide important insight into the performance and health of the controller manager.
-These metrics include common Go language runtime metrics such as go_routine count and controller specific metrics such as
-etcd request latencies or Cloudprovider (AWS, GCE, OpenStack) API latencies that can be used
-to gauge the health of a cluster.
+Controller manager metrics provide important insight into the performance and health of the
+controller manager. These metrics include common Go language runtime metrics such as go_routine
+count and controller specific metrics such as etcd request latencies or Cloudprovider (AWS, GCE,
+OpenStack) API latencies that can be used to gauge the health of a cluster.
 
-Starting from Kubernetes 1.7, detailed Cloudprovider metrics are available for storage operations for GCE, AWS, Vsphere and OpenStack.
+Starting from Kubernetes 1.7, detailed Cloudprovider metrics are available for storage operations
+for GCE, AWS, Vsphere and OpenStack.
 These metrics can be used to monitor health of persistent volume operations.
 
 For example, for GCE these metrics are called:
@@ -136,9 +163,15 @@ cloudprovider_gce_api_request_duration_seconds { request = "list_disk"}
 
 {{< feature-state for_k8s_version="v1.21" state="beta" >}}
 
-The scheduler exposes optional metrics that reports the requested resources and the desired limits of all running pods. These metrics can be used to build capacity planning dashboards, assess current or historical scheduling limits, quickly identify workloads that cannot schedule due to lack of resources, and compare actual usage to the pod's request.
+The scheduler exposes optional metrics that reports the requested resources and the desired limits
+of all running pods. These metrics can be used to build capacity planning dashboards, assess
+current or historical scheduling limits, quickly identify workloads that cannot schedule due to
+lack of resources, and compare actual usage to the pod's request.
+
+The kube-scheduler identifies the resource [requests and limits](/docs/concepts/configuration/manage-resources-containers/)
+configured for each Pod; when either a request or limit is non-zero, the kube-scheduler reports a
+metrics timeseries. The time series is labelled by:
 
-The kube-scheduler identifies the resource [requests and limits](/docs/concepts/configuration/manage-resources-containers/) configured for each Pod; when either a request or limit is non-zero, the kube-scheduler reports a metrics timeseries. The time series is labelled by:
 - namespace
 - pod name
 - the node where the pod is scheduled or an empty string if not yet scheduled
@@ -147,32 +180,47 @@ The kube-scheduler identifies the resource [requests and limits](/docs/concepts/
 - the name of the resource (for example, `cpu`)
 - the unit of the resource if known (for example, `cores`)
 
-Once a pod reaches completion (has a `restartPolicy` of `Never` or `OnFailure` and is in the `Succeeded` or `Failed` pod phase, or has been deleted and all containers have a terminated state) the series is no longer reported since the scheduler is now free to schedule other pods to run. The two metrics are called `kube_pod_resource_request` and `kube_pod_resource_limit`.
+Once a pod reaches completion (has a `restartPolicy` of `Never` or `OnFailure` and is in the
+`Succeeded` or `Failed` pod phase, or has been deleted and all containers have a terminated state)
+the series is no longer reported since the scheduler is now free to schedule other pods to run.
+The two metrics are called `kube_pod_resource_request` and `kube_pod_resource_limit`.
 
-The metrics are exposed at the HTTP endpoint `/metrics/resources` and require the same authorization as the `/metrics`
-endpoint on the scheduler. You must use the `--show-hidden-metrics-for-version=1.20` flag to expose these alpha stability metrics.
+The metrics are exposed at the HTTP endpoint `/metrics/resources` and require the same
+authorization as the `/metrics` endpoint on the scheduler. You must use the
+`--show-hidden-metrics-for-version=1.20` flag to expose these alpha stability metrics.
 
 ## Disabling metrics
 
-You can explicitly turn off metrics via command line flag `--disabled-metrics`. This may be desired if, for example, a metric is causing a performance problem. The input is a list of disabled metrics (i.e. `--disabled-metrics=metric1,metric2`).
+You can explicitly turn off metrics via command line flag `--disabled-metrics`. This may be
+desired if, for example, a metric is causing a performance problem. The input is a list of
+disabled metrics (i.e. `--disabled-metrics=metric1,metric2`).
 
 ## Metric cardinality enforcement
 
-Metrics with unbounded dimensions could cause memory issues in the components they instrument. To limit resource use, you can use the `--allow-label-value` command line option to dynamically configure an allow-list of label values for a metric.
+Metrics with unbounded dimensions could cause memory issues in the components they instrument. To
+limit resource use, you can use the `--allow-label-value` command line option to dynamically
+configure an allow-list of label values for a metric.
 
 In alpha stage, the flag can only take in a series of mappings as metric label allow-list.
 Each mapping is of the format `<metric_name>,<label_name>=<allowed_labels>` where 
 `<allowed_labels>` is a comma-separated list of acceptable label names.
                                                                                            
 The overall format looks like:
-`--allow-label-value <metric_name>,<label_name>='<allow_value1>, <allow_value2>...', <metric_name2>,<label_name>='<allow_value1>, <allow_value2>...', ...`.
+
+```
+--allow-label-value <metric_name>,<label_name>='<allow_value1>, <allow_value2>...', <metric_name2>,<label_name>='<allow_value1>, <allow_value2>...', ...
+```
 
 Here is an example:
-`--allow-label-value number_count_metric,odd_number='1,3,5', number_count_metric,even_number='2,4,6', date_gauge_metric,weekend='Saturday,Sunday'`
 
+```none
+--allow-label-value number_count_metric,odd_number='1,3,5', number_count_metric,even_number='2,4,6', date_gauge_metric,weekend='Saturday,Sunday'
+```
 
 ## {{% heading "whatsnext" %}}
 
-* Read about the [Prometheus text format](https://github.com/prometheus/docs/blob/master/content/docs/instrumenting/exposition_formats.md#text-based-format) for metrics
+* Read about the [Prometheus text format](https://github.com/prometheus/docs/blob/master/content/docs/instrumenting/exposition_formats.md#text-based-format)
+  for metrics
 * See the list of [stable Kubernetes metrics](https://github.com/kubernetes/kubernetes/blob/master/test/instrumentation/testdata/stable-metrics-list.yaml)
 * Read about the [Kubernetes deprecation policy](/docs/reference/using-api/deprecation-policy/#deprecating-a-feature-or-behavior)
+
