Amazon EKS — Complete Guide: Production-Ready Kubernetes on AWS

2 minute read

Amazon EKS Tutorial

Welcome to the complete Amazon EKS tutorial. This guide takes you from zero to production-ready EKS clusters, covering everything a DevOps or Cloud Engineer needs to know.

Amazon Elastic Kubernetes Service (EKS) is a managed Kubernetes service that runs the Kubernetes control plane across multiple AWS Availability Zones. AWS handles the heavy lifting — patching, upgrading, and ensuring high availability of the control plane — so you can focus on deploying and running your applications.


What is Amazon EKS?

Amazon EKS runs upstream, CNCF-conformant Kubernetes. Any application that runs on standard Kubernetes runs on EKS without modification. You get the full Kubernetes ecosystem — Helm, ArgoCD, Prometheus, Istio — backed by AWS’s managed infrastructure.

Key Features:

Feature Description
Managed Control Plane AWS runs the API server, etcd, and scheduler across 3 AZs
Multiple Compute Options Managed Node Groups, Self-Managed Nodes, or Fargate (serverless)
Deep AWS Integration VPC networking, IAM authentication, EBS/EFS storage, ALB/NLB load balancing
EKS Add-ons Managed lifecycle for CoreDNS, kube-proxy, VPC CNI, EBS CSI, and more
Security IRSA, Pod Identity, KMS encryption, Security Groups for Pods

EKS Pricing Overview

Component Cost
EKS Cluster $0.10/hour (~$73/month) per cluster
EC2 Worker Nodes Standard EC2 pricing (varies by instance type)
Fargate Per vCPU and memory per second
Data Transfer Standard AWS data transfer rates
EKS Extended Support Additional fee for older K8s versions past standard support

Tip: The cluster fee is fixed regardless of workload size. Your biggest cost driver is usually EC2 instances and data transfer.


What You’ll Learn

By the end of this tutorial, you’ll be able to:

  • Create and manage EKS clusters using eksctl and Terraform
  • Design production VPC architectures for EKS
  • Configure managed node groups, Fargate, and Spot instances
  • Deploy and manage workloads with best practices
  • Set up EBS, EFS, and FSx storage
  • Configure ALB/NLB load balancing with the AWS Load Balancer Controller
  • Implement security with IRSA, Pod Identity, RBAC, and encryption
  • Set up observability with CloudWatch, Prometheus, and Grafana
  • Scale with Cluster Autoscaler, Karpenter, HPA, and KEDA
  • Perform cluster upgrades safely
  • Build CI/CD pipelines and GitOps workflows
  • Optimize costs with Spot instances and Karpenter
  • Troubleshoot common EKS issues
  • Deploy production-ready EKS clusters with Terraform

Prerequisites

Before you begin, make sure you have:

  • AWS Account with admin or power-user IAM access
  • Basic Kubernetes knowledge (pods, deployments, services)
  • AWS CLI v2 installed and configured
  • kubectl installed
  • eksctl installed
  • Helm installed
  • Terraform installed (for IaC chapters)

Tutorial Chapters

# Chapter What You’ll Learn
1 Introduction EKS overview, architecture, pricing, tool setup
2 Cluster Creation eksctl, Terraform, Console, add-ons
3 Networking VPC design, VPC CNI, prefix delegation, private access
4 Node Management Managed nodes, Fargate, Spot, Graviton
5 Workloads Deployments, StatefulSets, Jobs, ConfigMaps
6 Storage EBS CSI, EFS CSI, FSx, snapshots
7 Load Balancing ALB Ingress, NLB, TLS/ACM, AWS LB Controller
8 Security IAM, IRSA, Pod Identity, access entries, secrets
9 Observability CloudWatch, Fluent Bit, Prometheus, ADOT
10 Scaling Cluster Autoscaler, Karpenter, HPA, KEDA
11 Cluster Upgrades Control plane, node groups, add-ons, blue-green
12 CI/CD & GitOps ECR, GitHub Actions, CodePipeline, ArgoCD, Flux
13 Cost Optimization Spot, right-sizing, Karpenter, Kubecost
14 Troubleshooting Access, pods, networking, nodes, decision tree
15 Terraform EKS Full IaC — VPC, cluster, nodes, IRSA modules
16 Production Checklist Networking, security, observability, reliability, cost
17 Appendix CLI cheatsheet, IAM policies, EKS vs AKS vs GKE, FAQ

← All K8s Tutorials Start the EKS Tutorial →

Updated: