Regenerate integrations.js (netdata#18886)

Co-authored-by: ilyam8 <[email protected]>

integrations/integrations.js

@@ -4893,7 +4893,7 @@ export const integrations = [
         "setup": "## Setup\n\n### Prerequisites\n\nNo action required.\n\n### Configuration\n\n#### File\n\nThe configuration file name for this integration is `go.d/k8s_state.conf`.\n\n\nYou can edit the configuration file using the [`edit-config`](https://github.com/netdata/netdata/blob/master/docs/netdata-agent/configuration/README.md#edit-a-configuration-file-using-edit-config) script from the\nNetdata [config directory](https://github.com/netdata/netdata/blob/master/docs/netdata-agent/configuration/README.md#the-netdata-config-directory).\n\n```bash\ncd /etc/netdata 2>/dev/null || cd /opt/netdata/etc/netdata\nsudo ./edit-config go.d/k8s_state.conf\n```\n#### Options\n\n\n\nThere are no configuration options.\n\n#### Examples\nThere are no configuration examples.\n\n",
         "troubleshooting": "## Troubleshooting\n\n### Debug Mode\n\n**Important**: Debug mode is not supported for data collection jobs created via the UI using the Dyncfg feature.\n\nTo troubleshoot issues with the `k8s_state` collector, run the `go.d.plugin` with the debug option enabled. The output\nshould give you clues as to why the collector isn't working.\n\n- Navigate to the `plugins.d` directory, usually at `/usr/libexec/netdata/plugins.d/`. If that's not the case on\n  your system, open `netdata.conf` and look for the `plugins` setting under `[directories]`.\n\n  ```bash\n  cd /usr/libexec/netdata/plugins.d/\n  ```\n\n- Switch to the `netdata` user.\n\n  ```bash\n  sudo -u netdata -s\n  ```\n\n- Run the `go.d.plugin` to debug the collector:\n\n  ```bash\n  ./go.d.plugin -d -m k8s_state\n  ```\n\n### Getting Logs\n\nIf you're encountering problems with the `k8s_state` collector, follow these steps to retrieve logs and identify potential issues:\n\n- **Run the command** specific to your system (systemd, non-systemd, or Docker container).\n- **Examine the output** for any warnings or error messages that might indicate issues.  These messages should provide clues about the root cause of the problem.\n\n#### System with systemd\n\nUse the following command to view logs generated since the last Netdata service restart:\n\n```bash\njournalctl _SYSTEMD_INVOCATION_ID=\"$(systemctl show --value --property=InvocationID netdata)\" --namespace=netdata --grep k8s_state\n```\n\n#### System without systemd\n\nLocate the collector log file, typically at `/var/log/netdata/collector.log`, and use `grep` to filter for collector's name:\n\n```bash\ngrep k8s_state /var/log/netdata/collector.log\n```\n\n**Note**: This method shows logs from all restarts. Focus on the **latest entries** for troubleshooting current issues.\n\n#### Docker Container\n\nIf your Netdata runs in a Docker container named \"netdata\" (replace if different), use this command:\n\n```bash\ndocker logs netdata 2>&1 | grep k8s_state\n```\n\n",
         "alerts": "## Alerts\n\nThere are no alerts configured by default for this integration.\n",
-        "metrics": "## Metrics\n\nMetrics grouped by *scope*.\n\nThe scope defines the instance that the metric belongs to. An instance is uniquely identified by a set of labels.\n\n\n\n### Per node\n\nThese metrics refer to the Node.\n\nLabels:\n\n| Label      | Description     |\n|:-----------|:----------------|\n| k8s_cluster_id | Cluster ID. This is equal to the kube-system namespace UID. |\n| k8s_cluster_name | Cluster name. Cluster name discovery only works in GKE. |\n| k8s_node_name | Node name. |\n\nMetrics:\n\n| Metric | Dimensions | Unit |\n|:------|:----------|:----|\n| k8s_state.node_allocatable_cpu_requests_utilization | requests | % |\n| k8s_state.node_allocatable_cpu_requests_used | requests | millicpu |\n| k8s_state.node_allocatable_cpu_limits_utilization | limits | % |\n| k8s_state.node_allocatable_cpu_limits_used | limits | millicpu |\n| k8s_state.node_allocatable_mem_requests_utilization | requests | % |\n| k8s_state.node_allocatable_mem_requests_used | requests | bytes |\n| k8s_state.node_allocatable_mem_limits_utilization | limits | % |\n| k8s_state.node_allocatable_mem_limits_used | limits | bytes |\n| k8s_state.node_allocatable_pods_utilization | allocated | % |\n| k8s_state.node_allocatable_pods_usage | available, allocated | pods |\n| k8s_state.node_condition | a dimension per condition | status |\n| k8s_state.node_schedulability | schedulable, unschedulable | state |\n| k8s_state.node_pods_readiness | ready | % |\n| k8s_state.node_pods_readiness_state | ready, unready | pods |\n| k8s_state.node_pods_condition | pod_ready, pod_scheduled, pod_initialized, containers_ready | pods |\n| k8s_state.node_pods_phase | running, failed, succeeded, pending | pods |\n| k8s_state.node_containers | containers, init_containers | containers |\n| k8s_state.node_containers_state | running, waiting, terminated | containers |\n| k8s_state.node_init_containers_state | running, waiting, terminated | containers |\n| k8s_state.node_age | age | seconds |\n\n### Per pod\n\nThese metrics refer to the Pod.\n\nLabels:\n\n| Label      | Description     |\n|:-----------|:----------------|\n| k8s_cluster_id | Cluster ID. This is equal to the kube-system namespace UID. |\n| k8s_cluster_name | Cluster name. Cluster name discovery only works in GKE. |\n| k8s_node_name | Node name. |\n| k8s_namespace | Namespace. |\n| k8s_controller_kind | Controller kind (ReplicaSet, DaemonSet, StatefulSet, Job, etc.). |\n| k8s_controller_name | Controller name. |\n| k8s_pod_name | Pod name. |\n| k8s_qos_class | Pod QOS class (burstable, guaranteed, besteffort). |\n\nMetrics:\n\n| Metric | Dimensions | Unit |\n|:------|:----------|:----|\n| k8s_state.pod_cpu_requests_used | requests | millicpu |\n| k8s_state.pod_cpu_limits_used | limits | millicpu |\n| k8s_state.pod_mem_requests_used | requests | bytes |\n| k8s_state.pod_mem_limits_used | limits | bytes |\n| k8s_state.pod_condition | pod_ready, pod_scheduled, pod_initialized, containers_ready | state |\n| k8s_state.pod_phase | running, failed, succeeded, pending | state |\n| k8s_state.pod_age | age | seconds |\n| k8s_state.pod_containers | containers, init_containers | containers |\n| k8s_state.pod_containers_state | running, waiting, terminated | containers |\n| k8s_state.pod_init_containers_state | running, waiting, terminated | containers |\n\n### Per container\n\nThese metrics refer to the Pod container.\n\nLabels:\n\n| Label      | Description     |\n|:-----------|:----------------|\n| k8s_cluster_id | Cluster ID. This is equal to the kube-system namespace UID. |\n| k8s_cluster_name | Cluster name. Cluster name discovery only works in GKE. |\n| k8s_node_name | Node name. |\n| k8s_namespace | Namespace. |\n| k8s_controller_kind | Controller kind (ReplicaSet, DaemonSet, StatefulSet, Job, etc.). |\n| k8s_controller_name | Controller name. |\n| k8s_pod_name | Pod name. |\n| k8s_qos_class | Pod QOS class (burstable, guaranteed, besteffort). |\n| k8s_container_name | Container name. |\n\nMetrics:\n\n| Metric | Dimensions | Unit |\n|:------|:----------|:----|\n| k8s_state.pod_container_readiness_state | ready | state |\n| k8s_state.pod_container_restarts | restarts | restarts |\n| k8s_state.pod_container_state | running, waiting, terminated | state |\n| k8s_state.pod_container_waiting_state_reason | a dimension per reason | state |\n| k8s_state.pod_container_terminated_state_reason | a dimension per reason | state |\n\n",
+        "metrics": "## Metrics\n\nMetrics grouped by *scope*.\n\nThe scope defines the instance that the metric belongs to. An instance is uniquely identified by a set of labels.\n\n\n\n### Per node\n\nThese metrics refer to the Node.\n\nLabels:\n\n| Label      | Description     |\n|:-----------|:----------------|\n| k8s_cluster_id | Cluster ID. This is equal to the kube-system namespace UID. |\n| k8s_cluster_name | Cluster name. Cluster name discovery only works in GKE. |\n| k8s_node_name | Node name. |\n\nMetrics:\n\n| Metric | Dimensions | Unit |\n|:------|:----------|:----|\n| k8s_state.node_allocatable_cpu_requests_utilization | requests | % |\n| k8s_state.node_allocatable_cpu_requests_used | requests | millicpu |\n| k8s_state.node_allocatable_cpu_limits_utilization | limits | % |\n| k8s_state.node_allocatable_cpu_limits_used | limits | millicpu |\n| k8s_state.node_allocatable_mem_requests_utilization | requests | % |\n| k8s_state.node_allocatable_mem_requests_used | requests | bytes |\n| k8s_state.node_allocatable_mem_limits_utilization | limits | % |\n| k8s_state.node_allocatable_mem_limits_used | limits | bytes |\n| k8s_state.node_allocatable_pods_utilization | allocated | % |\n| k8s_state.node_allocatable_pods_usage | available, allocated | pods |\n| k8s_state.node_condition | Ready, DiskPressure, MemoryPressure, NetworkUnavailable, PIDPressure | status |\n| k8s_state.node_schedulability | schedulable, unschedulable | state |\n| k8s_state.node_pods_readiness | ready | % |\n| k8s_state.node_pods_readiness_state | ready, unready | pods |\n| k8s_state.node_pods_condition | pod_ready, pod_scheduled, pod_initialized, containers_ready | pods |\n| k8s_state.node_pods_phase | running, failed, succeeded, pending | pods |\n| k8s_state.node_containers | containers, init_containers | containers |\n| k8s_state.node_containers_state | running, waiting, terminated | containers |\n| k8s_state.node_init_containers_state | running, waiting, terminated | containers |\n| k8s_state.node_age | age | seconds |\n\n### Per pod\n\nThese metrics refer to the Pod.\n\nLabels:\n\n| Label      | Description     |\n|:-----------|:----------------|\n| k8s_cluster_id | Cluster ID. This is equal to the kube-system namespace UID. |\n| k8s_cluster_name | Cluster name. Cluster name discovery only works in GKE. |\n| k8s_node_name | Node name. |\n| k8s_namespace | Namespace. |\n| k8s_controller_kind | Controller kind (ReplicaSet, DaemonSet, StatefulSet, Job, etc.). |\n| k8s_controller_name | Controller name. |\n| k8s_pod_name | Pod name. |\n| k8s_qos_class | Pod QOS class (burstable, guaranteed, besteffort). |\n\nMetrics:\n\n| Metric | Dimensions | Unit |\n|:------|:----------|:----|\n| k8s_state.pod_cpu_requests_used | requests | millicpu |\n| k8s_state.pod_cpu_limits_used | limits | millicpu |\n| k8s_state.pod_mem_requests_used | requests | bytes |\n| k8s_state.pod_mem_limits_used | limits | bytes |\n| k8s_state.pod_condition | pod_ready, pod_scheduled, pod_initialized, containers_ready | state |\n| k8s_state.pod_phase | running, failed, succeeded, pending | state |\n| k8s_state.pod_status_reason | Evicted, NodeAffinity, NodeLost, Shutdown, UnexpectedAdmissionError, Other | status |\n| k8s_state.pod_age | age | seconds |\n| k8s_state.pod_containers | containers, init_containers | containers |\n| k8s_state.pod_containers_state | running, waiting, terminated | containers |\n| k8s_state.pod_init_containers_state | running, waiting, terminated | containers |\n\n### Per container\n\nThese metrics refer to the Pod container.\n\nLabels:\n\n| Label      | Description     |\n|:-----------|:----------------|\n| k8s_cluster_id | Cluster ID. This is equal to the kube-system namespace UID. |\n| k8s_cluster_name | Cluster name. Cluster name discovery only works in GKE. |\n| k8s_node_name | Node name. |\n| k8s_namespace | Namespace. |\n| k8s_controller_kind | Controller kind (ReplicaSet, DaemonSet, StatefulSet, Job, etc.). |\n| k8s_controller_name | Controller name. |\n| k8s_pod_name | Pod name. |\n| k8s_qos_class | Pod QOS class (burstable, guaranteed, besteffort). |\n| k8s_container_name | Container name. |\n\nMetrics:\n\n| Metric | Dimensions | Unit |\n|:------|:----------|:----|\n| k8s_state.pod_container_readiness_state | ready | state |\n| k8s_state.pod_container_restarts | restarts | restarts |\n| k8s_state.pod_container_state | running, waiting, terminated | state |\n| k8s_state.pod_container_waiting_state_reason | ContainerCreating, CrashLoopBackOff, CreateContainerConfigError, CreateContainerError, ErrImagePull, ImagePullBackOff, InvalidImageName, PodInitializing, Other | state |\n| k8s_state.pod_container_terminated_state_reason | Completed, ContainerCannotRun, DeadlineExceeded, Error, Evicted, OOMKilled, Other | state |\n\n",
         "integration_type": "collector",
         "id": "go.d.plugin-k8s_state-Kubernetes_Cluster_State",
         "edit_link": "https://github.com/netdata/netdata/blob/master/src/go/plugin/go.d/modules/k8s_state/metadata.yaml",