karpenter-cluster-autoscaler

Implementing End-to-End CI/CD, IaC, and Monitoring using Kubernetes, GitOps (Argo CD), GitHub Actions, Terraform, AWS EKS, Prometheus, Grafana, and Kubecost.

This repository contains the code and configuration files for setting up Karpenter on an existing Amazon EKS cluster, as described in the blog post

Configurations relevant to DevOps

Whether you're scaling dynamically or looking to reduce costs on your Kubernetes clusters, this Karpenter module offers a streamlined solution for managing instance types based on workload requirements. It’s a powerful tool for anyone working with EKS who wants to take advantage of AWS’s advanced node provisioning capabilities.

Deploying EKS with DevOps and Learning concepts like Ingress, cost optimization, K8s tools ecosystem, logging consideration etc.

Create AWS EKS Cluster and install Karpenter Cluster Autoscaler using Terraform

"End-to-end Terraform stack for GPU workloads on EKS — VPC, cluster, and a spot/on-demand GPU node pool."

code base for karpenter installation on eks cluster

This Terraform project delivers a production-ready AWS EKS cluster with comprehensive monitoring, logging, and intelligent autoscaling capabilities. Built using Infrastructure as Code (IaC) principles, this solution provides enterprise-grade Kubernetes infrastructure on AWS with observability and cost optimization features.

Production-grade EKS cluster provisioned in two Terraform phases — VPC, private nodes, VPC endpoints for NAT cost reduction, Karpenter Spot-first autoscaling, and AWS Load Balancer Controller. Includes IRSA, SQS interruption handling, and EC2NodeClass with ARM-ready NodePool configuration.

Step-by-step guide to set and use AWS EKS with Karpenter by Terraform.

Terraform modules for building a scalable Amazon EKS cluster using Karpenter, Bottlerocket, and IAM-based access control.