Amazon Elastic Kubernetes Service (EKS)

The most trusted way to start, run,
and scale Kubernetes

Amazon EKS leads the industry as a fully managed service for Kubernetes on AWS. However, as enterprises leverage the capabilities of Amazon EKS for mission-critical environments, the number of Kubernetes clusters and applications in use can grow quickly. Even for customers using fully managed services like Amazon EKS, the expansion of clusters can quickly produce operational challenges that introduce hurdles to productivity, stall innovation, and compromise security.

Amazon EKS:

Runs and scales the Kubernetes control plane across multiple AWS Availability Zones to ensure high availability.

Automatically scales control plane instances based on load, detects and replaces unhealthy control plane instances, and it provides automated version updates and patching for them.

Is integrated with many AWS services to provide scalability and security for your applications, including the following capabilities:

  • Amazon ECR for container images
  • Elastic Load Balancing for load distribution
  • IAM for authentication
  • Amazon VPC for isolation

Runs up-to-date versions of the open-source Kubernetes software, so you can use all of the existing plugins and tooling from the Kubernetes community. Applications that are running on Amazon EKS are fully compatible with applications running on any standard Kubernetes environment, no matter whether they’re running in on-premises data centers or public clouds. This means that you can easily migrate any standard Kubernetes application to Amazon EKS without any code modification.

How Does it Work?


Benefits of EKS:

While users can leverage AWS EC2 instances to carry workloads, this method could become overwhelmingly burdensome if the workload requires extreme scaling & variation in workload. With Kubernetes, users can control the pods and nodes carrying workloads easily, and securely scale by orders of magnitude in just seconds. Also due to Kubernetes’ orchestrative nature, users can containerize their workloads at scale, enabling them to efficiently meet the technological requirements of a given application.

Getting started with Amazon EKS is easy:

Step 1

Using either the AWS Management Console, AWS CLI, or an AWS SDK, you can create an Amazon EKS cluster.

Step 2

Then according to the use case, users can launch managed or self-managed nodes. These nodes can be either serverless with AWS Fargate or they can be servers in the form of EC2 instances.

Step 3

When the cluster is launched, you can fine-tune your environments with Lens, kubectl, and other tools which offer the user the ability to interact and configure the environment.

Step 4

Deploy and manage workloads on your Amazon EKS cluster the same way that you would with any other Kubernetes environment. You can also view information about your workloads using the AWS Management Console.

Step 5

Lastly, in order to maintain great telemetry for your cluster, users can leverage Container Insights & CloudWatch, Prometheus & Graphana, and more. This gives a feedback loop so that users can better understand and in turn configure their clusters.

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