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diff --git a/health/guides/kubelet/kubelet_1m_pleg_relist_latency_quantile_099.md b/health/guides/kubelet/kubelet_1m_pleg_relist_latency_quantile_099.md deleted file mode 100644 index 39e031628..000000000 --- a/health/guides/kubelet/kubelet_1m_pleg_relist_latency_quantile_099.md +++ /dev/null @@ -1,36 +0,0 @@ -### Understand the alert - -This alert calculates the average Pod Lifecycle Event Generator (PLEG) relisting latency over the last minute with a quantile of 0.99 in microseconds. If you receive this alert, it means that the Kubelet's PLEG latency is high, which can slow down your Kubernetes cluster. - -### What does PLEG latency mean? - -Pod Lifecycle Event Generator (PLEG) is a component of the Kubelet that watches for container events on the system and generates events for a pod's lifecycle. High PLEG latency indicates a delay in processing these events, which can cause delays in pod startup, termination, and updates. - -### Troubleshoot the alert - -1. Check the overall Kubelet performance and system load: - - a. Run `kubectl get nodes` to check the status of the nodes in your cluster. - b. Investigate the node with high PLEG latency using `kubectl describe node <NODE_NAME>` to view detailed information about resource usage and events. - c. Use monitoring tools like `top`, `htop`, or `vmstat` to check for high CPU, memory, or disk usage on the node. - -2. Look for problematic pods or containers: - - a. Run `kubectl get pods --all-namespaces` to check the status of all pods across namespaces. - b. Use `kubectl logs <POD_NAME> -n <NAMESPACE>` to check the logs of the pods in the namespace. - c. Investigate pods with high restart counts, crash loops, or other abnormal statuses. - -3. Verify Kubelet configurations and logs: - - a. Check the Kubelet configuration on the node. Look for any misconfigurations or settings that could cause high latency. - b. Check Kubelet logs using `journalctl -u kubelet` for more information about PLEG events and errors. - -4. Consider evaluating your workloads and scaling your cluster: - - a. If you have multiple nodes experiencing high PLEG latency or if the overall load on your nodes is consistently high, you might need to scale your cluster. - b. Evaluate your workloads and adjust resource requests and limits to make the best use of your available resources. - -### Useful resources - -1. [Understanding the Kubernetes Kubelet](https://kubernetes.io/docs/concepts/overview/components/#kubelet) -2. [Troubleshooting Kubernetes Clusters](https://kubernetes.io/docs/tasks/debug-application-cluster/troubleshooting/) |