Automating Kubernetes Monitoring Stack on AWS EKS with Helm

Introduction

Monitoring and observability are crucial for any Kubernetes-based infrastructure. In my recent project, I built a fully automated monitoring stack on AWS EKS using Helm, which deploys Grafana, Prometheus, and Pushgateway while leveraging AWS EFS for persistent storage.

This blog walks you through the architecture, automation, and deployment process.

🔹 Infrastructure Overview

The entire setup is deployed on AWS EKS, ensuring scalability and reliability. Here's what we built:

✅ AWS EKS Cluster – The backbone of the infrastructure
✅ Helm Deployments – Automating deployments for:

• Grafana (grafana-deployment)

• Prometheus (prometheus-deployment)

• Pushgateway (pushgateway-deployment)
  ✅ Classic Load Balancer & Nginx – Enabling external access
  ✅ Ingress Controllers – Managing routing for all services
  ✅ ConfigMaps & Services – Handling configurations and service discovery
  ✅ Secrets Management – Protecting sensitive credentials for Grafana
  ✅ Persistent Storage with AWS EFS – Attached using Persistent Volumes (PV) and Persistent Volume Claims (PVC) for Grafana and Prometheus, ensuring data persistence

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🔹 Automating Deployment with Helm & Scripting

To eliminate manual setup and ensure seamless scalability, we automated the entire infrastructure.

Whenever a new user signs in, the following actions are triggered:
1️⃣ Helm commands deploy Grafana, Prometheus, and Pushgateway on EKS
2️⃣ AWS Route 53 records are dynamically created
3️⃣ AWS EFS volumes are provisioned and attached to pods using PV and PVC

This automation ensures that each user gets their own isolated monitoring setup, making the system scalable, efficient, and robust.

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🔹 Why Persistent Storage Matters in Monitoring

In Kubernetes, monitoring tools like Grafana and Prometheus rely on persistent storage to retain dashboards, metrics, and historical data. AWS EFS provides a highly available, scalable, and durable storage solution, ensuring that:

✅ Data remains intact even if a pod crashes or restarts
✅ Multiple pods can access the same storage simultaneously
✅ No manual intervention is needed for data persistence

By utilizing Persistent Volumes (PV) and Persistent Volume Claims (PVC), we seamlessly integrate AWS EFS into the cluster, ensuring monitoring continuity.

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🌟 Key Takeaways

🔹 Automated Kubernetes Monitoring – Fully managed with Helm
🔹 Scalable & Persistent – Thanks to AWS EFS and Helm-based deployments
🔹 Hands-free Deployment – Scripted infrastructure creation for new users
🔹 Improved Observability – Real-time monitoring with Grafana and Prometheus

With AWS, Kubernetes, and DevOps automation, we’ve built a self-sustaining monitoring system that is scalable, persistent, and efficient.

Are you working on Kubernetes monitoring? Let’s discuss your approach! 🚀

💬 Let’s Connect!
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#AWS #Kubernetes #EKS #Helm #DevOps #Observability #CloudComputing #Grafana #Prometheus