How to Monitor Amazon EKS Using Prometheus and Grafana (Without Helm)

Published: (January 8, 2026 at 04:58 AM EST)
1 min read
Source: Dev.to

Source: Dev.to

Why Monitoring Is Important

  • Check cluster health
  • Monitor node and pod resource usage
  • Find issues early
  • Improve system stability and security

Tools Used

  • Amazon EKS
  • Prometheus
  • Grafana
  • kube-state-metrics
  • node-exporter

Helm is not used in this setup.

Simple Architecture

  • Prometheus collects metrics from the EKS cluster
  • Node Exporter collects node metrics
  • kube-state-metrics provides Kubernetes object data
  • Grafana displays metrics in dashboards

Step 1: Create Monitoring Namespace

(Create the namespace with your preferred kubectl command.)

Step 2: Deploy kube-state-metrics

Components deployed

  • Pods
  • Namespaces
  • Nodes
  • Deployments

Verify deployment

kubectl get pods -n monitoring

Step 3: Deploy Node Exporter

Collects

  • CPU
  • Memory
  • Disk metrics

Check status with your usual kubectl commands.

Step 4: Configure Prometheus

Update Prometheus scrape configuration to collect metrics from:

  • Kubernetes nodes
  • Pods
  • kube-state-metrics
  • kubelet metrics

Relevant labels for Grafana filtering

  • cluster
  • node
  • namespace
  • pod

Step 5: Connect Grafana to Prometheus

  1. Open Grafana
  2. Add Prometheus as a data source
  3. Save and test the connection

Step 6: Import Dashboards

Import Kubernetes dashboards to view:

  • Cluster metrics
  • Node usage
  • Pod usage

You can filter by:

  • Cluster
  • Node
  • Namespace
  • Pod

What You Can Monitor

  • Cluster health
  • Node CPU and memory
  • Pod resource usage
  • Pod restarts

What I Learned

  • Monitoring is essential for Kubernetes
  • Prometheus and Grafana work well without Helm
  • Labels are very useful for filtering metrics
  • Good monitoring supports DevSecOps practices

Conclusion

This is a simple and effective way to monitor Amazon EKS without Helm. It’s a great starting point for anyone learning Kubernetes monitoring.

Thanks for reading!

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