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AWS Kubernetes : Tutorial to deploy Kubernetes cluster with Amazon EKS

Posted on October 26, 2022 by

Categories: AWS


Computing has grown exponentially during the last five years. The client-server approach has been far surpassed by applications, and distributed computing is now the standard. One of the most powerful distributed computing systems is provided by Kubernetes on AWS. The Elastic Kubernetes Service, or EKS, can provide a truly distributed environment where your applications may operate and expand thanks to innovations like Amazon Fargate and the extensive reach of Amazon’s cloud computing infrastructure.

The AWS web dashboard is probably not the quickest method for setting up Kubernetes with AWS. In the following chapters, we’ll outline the quickest way to set up a Kubernetes cluster on AWS, after which we’ll deploy a Dockerized application on this cluster.

Kubernetes on AWS prerequisites

Let’s familiarise ourselves with a few fundamental ideas before we begin using Kubernetes on AWS. These consist of the following:

  • Working knowledge of Docker containers. Make sure you understand the distinctions between a container and a typical virtual machine because we’ll blend them later.
  • knowledge of terms linked to AWS, such as IAM roles, VPCs,
    Why Docker? Wasn’t Docker Support removed from Kubernetes?

A container orchestration engine is called Kubernetes. You must package your application as one or more container images to deploy it to a Kubernetes cluster. The most popular method for using containers is, by far, Docker. It facilitates:

  • Run containers locally on Windows, Mac OS, or Linux computers.
  • Create a Docker image for your application.

Kubernetes has advanced considerably since it was first developed. Initially, it operated with the most popular container runtimes, Docker and out. This implies that Docker would be installed and running on each Kubernetes node. To construct pods, containers controlled by Kubernetes, the kubelet binary executing on a node would then communicate with the Docker engine.

The Kubernetes project has discontinued support for Docker Runtime. Instead, it uses a proprietary Container Runtime Interface (CRI), eliminating the need for other Docker installations on your nodes.

For those looking to learn about Kubernetes, it has nonetheless given rise to the idea that Docker is outdated or incompatible.

That is untrue. Any Docker image that runs on your Docker runtime will also run on Kubernetes, so you still need Docker to test and execute your images locally. It’s merely that those Docker images may now be launched using Kubernetes’ lightweight implementation.

To understand more, see our blog post on Kubernetes vs. Docker.

EKS vs. Kubernetes on Amazon

So why should you be concerned about creating an EKS cluster on Amazon? Why not utilize another cloud provider, such as GCP or Azure, or build your own Kubernetes cluster?

There are several explanations.

  1. Complexity: It’s not a good idea to start your Kubernetes cluster from scratch. You will be in charge of setting up the cluster, the networking, and the storage and administering and protecting your application. Upgrades to the cluster, the underlying operating system, and more are all part of Kubernetes maintenance.
  2. You can ensure that your cluster is configured correctly and receives updates and fixes on time by using AWS’s managed Kubernetes service, EKS.

Integration: The Amazon Web Services EKS is already compatible with the rest of Amazon’s infrastructure. Services that must be exposed to the public use elastic load balancers (ELB). Elastic Block Storage (EBS) is used by your cluster to store permanent data. Amazon makes sure the data is accessible to your cluster and online.

True Scalability: Unlike self-hosted Kubernetes, Amazon EKS offers far superior scalability. Your pods are launched over several physical nodes thanks to the control plane’s precautions (if you so desire). Your application will remain online even if one or more nodes fail. However, if you manage your own cluster, you will need to make sure that various VMs (EC2 instances) are located in various availability zones. Running many pods on the same physical server won’t provide much fault tolerance if you can’t ensure it.

Fargate and Firecracker: Virtual machine instances, or software that impersonates hardware, operate on virtualized hardware. As a result, the security of the cloud infrastructure as a whole is improved. But because a layer of software is virtualizing physical resources, this comes at the cost of reduced performance. Containers, on the other hand, are lightweight since they all use the same operating system and kernel. There is no performance effect, and boot times are shortened. Containers on bare metal refer to running containers directly on the hardware.

One of the very few public clouds that offer bare-metal containers as of this writing is Amazon. That is to say, you may utilize Amazon Fargate to run the containers directly on bare hardware rather than deploying EC2 instances and executing them inside of those VMs.

Firecracker, an extremely lightweight Linux KVM-based solution that runs Docker containers inside a micro VM, is used to manage this. These provide you the security of VMs along with the performance of containers. EKS on Amazon is superior to all its rivals for this single reason alone.