AWS EKS

Overview

Amazon Elastic Kubernetes Service (EKS) is a managed service that facilitates the deployment, management, and scaling of containerized applications using Kubernetes on AWS. EKS automates the provisioning and lifecycle management of the Kubernetes control plane, including the API servers and etcd persistence layer, across multiple Availability Zones to ensure high availability and fault tolerance. This abstraction allows developers and operators to focus on application deployment rather than the underlying infrastructure of the Kubernetes control plane Amazon EKS User Guide.

EKS is designed for organizations seeking to run production-grade Kubernetes workloads within the AWS ecosystem. It offers deep integration with other AWS services, such as Amazon Virtual Private Cloud (VPC) for networking, Elastic Load Balancing for load distribution, AWS Identity and Access Management (IAM) for authentication, and Amazon CloudWatch for monitoring. This integration simplifies operations and provides a consistent experience for users already familiar with AWS AWS EKS Features page. For example, EKS can automatically provision AWS Fargate to run Kubernetes pods without managing EC2 instances, or utilize EKS Anywhere for hybrid cloud deployments, extending Kubernetes management to on-premises infrastructure EKS Anywhere product details.

The service targets a broad audience, from startups to large enterprises, particularly those with existing AWS investments or specific compliance requirements. EKS supports various compute options, including Amazon EC2 instances, AWS Fargate, and Outposts. It is suitable for microservices architectures, batch processing, machine learning workloads, and continuous integration/continuous delivery (CI/CD) pipelines. Organizations prioritize enterprise-grade security and compliance benefit from EKS's certifications, including SOC, ISO, GDPR, HIPAA, and PCI DSS Level 1 AWS Compliance Programs. The operational model of managed Kubernetes services like EKS and Google Kubernetes Engine (GKE) has been a significant driver in the adoption of container orchestration, as noted by industry analysts The New Stack report on Kubernetes adoption.

Key features

• Managed Kubernetes Control Plane: AWS manages the Kubernetes control plane components (API servers, etcd) across multiple Availability Zones, ensuring high availability and automating upgrades and patching EKS cluster management documentation.
• Integrated with AWS Services: Seamless integration with AWS VPC for networking, IAM for authentication, Elastic Load Balancing for traffic distribution, EBS for storage, and CloudWatch for logging and monitoring AWS EKS Features overview.
• Flexible Compute Options: Supports running Kubernetes pods on Amazon EC2 instances (managed node groups or self-managed), serverless AWS Fargate, or on-premises with EKS Anywhere EKS Fargate documentation.
• EKS Anywhere: Extends EKS to on-premises environments, allowing consistent Kubernetes operations across hybrid cloud deployments EKS Anywhere product page.
• EKS Distro: Provides the same open-source Kubernetes components and versions deployed by Amazon EKS, allowing manual installation on any infrastructure EKS Distro details.
• Security and Compliance: Adheres to various compliance standards including SOC, ISO, GDPR, HIPAA, PCI DSS Level 1, and FedRAMP, with built-in security features like IAM integration and network policies EKS Security documentation.
• Container Insights: Enhanced observability for containerized applications and microservices via Amazon CloudWatch, collecting metrics and logs CloudWatch Container Insights.

Pricing

AWS EKS pricing consists of a cluster management fee and charges for the underlying AWS resources used to run your worker nodes and applications. Pricing is as of 2026-05-05.

For detailed and up-to-date pricing, refer to the official AWS EKS pricing page.

Common integrations

• AWS Identity and Access Management (IAM): Manages authentication and authorization for EKS clusters and resources EKS Authentication and Authorization.
• Amazon Virtual Private Cloud (VPC): Provides network isolation and connectivity for EKS clusters and pods EKS Network Requirements.
• Elastic Load Balancing (ELB): Distributes incoming application traffic across pods running in EKS EKS Load Balancer Integration.
• Amazon CloudWatch: Collects and monitors logs and metrics from EKS clusters and applications Monitoring EKS.
• Amazon Elastic Block Store (EBS): Provides persistent block storage for Kubernetes pods through CSI drivers EBS CSI Driver.
• AWS Fargate: Allows running Kubernetes pods without provisioning or managing EC2 instances EKS Fargate.
• AWS Systems Manager: Can be used for managing EC2 instances that serve as EKS worker nodes Systems Manager for Kubernetes.

Alternatives

• Google Kubernetes Engine (GKE): A managed service for running Kubernetes clusters on Google Cloud, known for early Kubernetes development and advanced features.
• Azure Kubernetes Service (AKS): Microsoft's managed Kubernetes offering, deeply integrated with the Azure ecosystem and developer tools.
• Red Hat OpenShift: An enterprise-grade Kubernetes platform built on OpenShift Container Platform, offering additional developer tools and enterprise features.
• DigitalOcean Kubernetes: A managed Kubernetes service designed for simplicity and developer experience, often favored by smaller teams and startups.
• Linode Kubernetes Engine (LKE): A managed Kubernetes offering from Linode, focusing on ease of use and competitive pricing.

Getting started

To get started with AWS EKS, you typically use the eksctl command-line tool, which simplifies cluster creation and management. This example demonstrates creating a basic EKS cluster with a managed node group using eksctl and then deploying a simple NGINX application.

First, ensure you have aws CLI and kubectl installed and configured. Then, install eksctl:

# For macOS with Homebrew
brew tap weaveworks/tap
brew install weaveworks/tap/eksctl

# For other OS, refer to eksctl documentation

Next, create a cluster configuration file named cluster.yaml:

apiVersion: eksctl.io/v1alpha5
kind: ClusterConfig

metadata:
  name: my-eks-cluster
  region: us-east-1
  version: "1.29"

managedNodeGroups:
  - name: ng-1
    instanceType: t3.medium
    desiredCapacity: 2
    minSize: 1
    maxSize: 3
    labels: { role: worker }
    volumeSize: 20

Now, create the cluster using eksctl:

eksctl create cluster -f cluster.yaml

This command will provision the EKS control plane and the specified managed node group. This process can take 15-20 minutes. Once the cluster is ready, eksctl automatically configures your kubectl context. You can verify the cluster nodes:

kubectl get nodes

Finally, deploy a sample NGINX application:

# nginx-deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: nginx-deployment
spec:
  selector:
    matchLabels:
      app: nginx
  replicas: 2
  template:
    metadata:
      labels:
        app: nginx
    spec:
      containers:
      - name: nginx
        image: nginx:latest
        ports:
        - containerPort: 80
---
apiVersion: v1
kind: Service
metadata:
  name: nginx-service
spec:
  selector:
    app: nginx
  ports:
    - protocol: TCP
      port: 80
      targetPort: 80
  type: LoadBalancer

kubectl apply -f nginx-deployment.yaml

After a few minutes, you can get the external IP address of your NGINX service:

kubectl get service nginx-service

The EXTERNAL-IP column will show the address of the AWS Load Balancer. You can access your NGINX application through this IP in a web browser AWS EKS Getting Started Guide.