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Learn how to manage docker containers using AWS EKS (Elastic Kubernetes Services). Learn fundamentals of Kubernetes, AWS
Updated on Sep, 2026
IT and Software , IT Certifications, Amazon AWS
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These days demand for Container and Container orchestration technologies is undergoing tremendous growth as this technology helps organizations to become more agile and scalable.
Kubernetes + AWS = AWS Elastic Kubernetes Services (EKS)
Kubernetes, also known as k8s is a popular and open-source container orchestration. It offers features like Scalability, Load Balancing, High Availability, Security, and much more.
Amazon Elastic Kubernetes Service (Amazon EKS) is a managed container service to run and scale Kubernetes applications in the cloud or on-premises.
One of the benefits of using Amazon EKS is there is no burden of managing the master node and the cluster control plane. But using Kubernetes native, one can have more control over a master node and cluster control plane compared to using AWS EKS.
As demand for DevOps engineers is increasing rapidly, having Kubernetes and AWS EKS as a skill will help you to grab the valuable opportunity.
In this course, you will learn creating Kubernetes cluster locally and on AWS. You will learn creating different and important Kubernetes objects such as Pods (the basic unit of Kubernetes cluster), Replicaset, Deployment, Services, and much more.
Then you will learn how to use cloud formation to set up Kubernetes cluster on Amazon AWS, then create private and public ECR Repository and run inside AWS EKS cluster.
You will also learn how to use eksctl, docker and kubectl command line utility to perform the above tasks.
Check out the detailed breakdown of what’s inside the course
I am an Instructor, Devops engineer, machine learning enthusiast, cloud expert and passionate developer.
I have authored 78 courses with over 115,000 students worldwide across 175+ countries on wide array of technologies like devops, containerization, machine learning, Linux, programming languages and cloud computing platforms like Microsoft Azure, Amazon Web Service and IBM Cloud.
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