Introduction

Embrace the power of Kubernetes metrics with KillerCoda as you delve into troubleshooting metrics-server installation and harness its capabilities for node resource monitoring. Discover the essence of Kubernetes monitoring as we unravel the complexities of node CPU and memory utilization.

In the dynamic landscape of Kubernetes, effective monitoring of node resources is paramount for maintaining cluster health and performance. Metrics-server, an essential component, enables the collection and retrieval of vital metrics like node CPU and memory utilization, crucial for optimizing resource allocation and scaling decisions. In this guide, we delve into troubleshooting metrics-server installation and harnessing its capabilities for comprehensive node resource monitoring.

Prerequisites

Before diving into troubleshooting, ensure your Kubernetes cluster is operational and you possess a fundamental understanding of Kubernetes components and concepts.

Killercode View

Installing Metrics-Server

Deploying Metrics-Server

Install metrics-server using its deployment manifest.

kubectl apply -f https://github.com/kubernetes-sigs/metrics-server/releases/latest/download/components.yaml

Fine-Tuning Deployment

Adjust metrics-server deployment.

kubectl -n kube-system edit deployments.apps metrics-server

Paste the following commands in the deployment file of metrics server

command:
        - /metrics-server
        - --kubelet-insecure-tls
        - --kubelet-preferred-address-types=InternalIP

1. Verify that the metrics-server deployment is running the desired number of Pods with the following command.

    kubectl get deployment metrics-server -n kube-system
   

   An example output is as follows.

    NAME             READY   UP-TO-DATE   AVAILABLE   AGE
    metrics-server   1/1     1            1           6m
   

Restarting kubelet Service

Restart kubelet to enforce configuration changes.

systemctl restart kubelet
systemctl enable kubelet

Troubleshooting Steps

1. Check Deployment Events

Inspect deployment events to identify potential issues.

kubectl describe deployment metrics-server -n kube-system

2. Verify Pod Logs

Examine pod logs for insights into errors or failures.

kubectl logs <metrics-server-pod-name> -n kube-system

3. Inspect Metrics-Server Deployment

Ensure all metrics-server pods are in the running state.

kubectl get pods -n kube-system

Utilizing Metrics-Server

1. Viewing Node Metrics

After few minutes you can Monitor the overall node resource utilization.

kubectl top nodes

2. Examining Pod Metrics

Track CPU and memory usage of pods.

kubectl top pods

3. Exploring Container Metrics

Retrieve detailed container metrics within pods.

kubectl top pods --containers=true

Conclusion

In the realm of Kubernetes, mastering metrics monitoring is indispensable for ensuring cluster efficiency and performance optimization. By troubleshooting metrics-server installation and harnessing its capabilities for node resource monitoring, Kubernetes administrators can effectively manage and scale their clusters. Empower your Kubernetes journey with robust metrics monitoring practices and unlock the full potential of your infrastructure.