Amazon EKS Tutorial: How to create a Kubernetes Cluster in AWS

An Amazon EKS for Beginners

Amazon Elastic Kubernetes Service (EKS) is a managed Kubernetes service from AWS that allows organizations to run containerized applications on AWS without the complexity of maintaining their own control plane.

EKS automatically manages the availability and scalability of the Kubernetes control plane across multiple Availability Zones, ensuring reliability and fault tolerance. It integrates with AWS services such as IAM for security, CloudWatch for monitoring, and Elastic Load Balancing for traffic distribution, giving teams a seamless way to deploy and scale applications.

Benefits of Amazon EKS

The main benefits of EKS include reduced operational overhead, since AWS handles cluster management tasks like upgrades and patching.

EKS offers strong security by default, leveraging AWS’s identity and compliance features. EKS is also highly scalable, capable of running everything from small workloads to large, mission-critical applications. For teams already invested in Kubernetes, it provides compatibility with existing tools and open-source plugins, making migration straightforward.

By combining the flexibility of Kubernetes with the resilience of AWS infrastructure, EKS enables faster application delivery, improved resource efficiency, and greater agility in modern software development.

This tutorial will quickly teach you how to quickly create an EKS cluster in AWS, test the EC2 instances that support it, and quickly deploy Docker-based container images with your Java, Python, and React applications. Whether you want to gain the skills to get AWS DevOps certified, pass the AWS Solution Architect exam, or you just learn more about Kuberentes in the cloud, this quick AWS EKS tutorial will get you on your way.


Cameron McKenzie

Cameron McKenzie is an AWS Certified AI Practitioner, Machine Learning Engineer, Solutions Architect and author of many popular books in the software development and Cloud Computing space. His growing YouTube channel training devs in Java, Spring, AI and ML has well over 30,000 subscribers.