What is Amazon EKS?
Amazon Elastic Kubernetes Service (Amazon EKS) is a managed Kubernetes service that eliminates the need to operate and maintain the availability and scalability of Kubernetes clusters in Amazon Web Services (AWS) and in your own data centers. Kubernetes
Features of Amazon EKS
Fully Managed Kubernetes
Amazon EKS provides a scalable and highly-available Kubernetes control plane running across multiple AWS Availability Zones (AZs). Amazon EKS automatically manages availability and scalability of Kubernetes API servers and etcd persistence layer. Amazon EKS runs the Kubernetes control plane across multiple AZs to ensure high availability, and automatically detects and replaces unhealthy control plane nodes.
Amazon EKS Auto Mode fully automates Kubernetes cluster infrastructure management for compute, storage, and networking on AWS. It simplifies Kubernetes management by automatically provisioning infrastructure, selecting optimal compute instances, dynamically scaling resources, continuously optimizing costs, patching operating systems, and integrating with AWS security services.
Kubernetes Compatibility and Support
Amazon EKS runs upstream Kubernetes and is certified Kubernetes-conformant, so you can use all the existing plug-ins and tooling from the Kubernetes community. Applications running on Amazon EKS are fully compatible with applications running on any standard Kubernetes environment, whether running in on-premises data centers or public clouds. This means that you can easily migrate any standard Kubernetes application to Amazon EKS without refactoring your code. Amazon EKS supports Kubernetes versions longer than they are supported upstream, with standard support for Kubernetes minor versions for 14 months from the time they are released in Amazon EKS, and extended support for Kubernetes minor versions for an additional 12 months of support (26 total months per version). See Understand the Kubernetes version lifecycle on EKS for more information.
Machine Learning
Amazon EKS has become a cornerstone for deploying and managing AI/ML workloads in the cloud. With its ability to handle complex, resource-intensive tasks, Amazon EKS provides a scalable and flexible foundation for running AI/ML models, making it an ideal choice for organizations aiming to harness the full potential of machine learning. Whether you’re training large language models that require vast amounts of compute power or deploying inference pipelines that need to handle unpredictable traffic patterns, Amazon EKS scales up and down efficiently, optimizing resource use and cost. Amazon EKS supports a wide range of compute options including GPU-powered instances and AWS Neuron, allowing for high-performance training and low-latency inference, ensuring that models run efficiently in production environments. See the Machine Learning on Amazon EKS Overview for more information.
Hybrid Deployments
You can use the same Amazon EKS clusters to run nodes on AWS-hosted infrastructure in AWS
Regions
Compute
You can use the full range of Amazon EC2 instance types and AWS innovations such as Nitro and Graviton with Amazon EKS for you to optimize the compute for your workloads. You can use on-demand or Spot instances and your savings plans with compute you use with your Amazon EKS clusters. See Manage compute resources by using nodes for more information.
Networking
Amazon EKS integrates with Amazon VPC allowing you to use your own Amazon VPC security groups and network access control lists (ACLs) with Amazon EKS clusters. Amazon EKS provides the Amazon VPC container network interface
Security
Amazon EKS integrates with AWS Identity and Access Management (IAM) for you to secure your clusters and applications. Amazon EKS makes it easy to map AWS IAM permissions to Kubernetes Role Based Access Control (RBAC). You can use AWS IAM for cluster authentication and authorization with Amazon EKS Cluster Access Management, for access and permissions of operational software running on your clusters, and for granular application access to other AWS services with Amazon EKS Pod Identity. Amazon EKS is certified by multiple compliance programs for regulated and sensitive applications. Amazon EKS is compliant with SOC
Observability
Amazon EKS integrates with AWS Managed Service for Prometheus (AMP), Amazon CloudWatch, Amazon CloudTrail, and Amazon GuardDuty for monitoring, logging, and auditing capabilities. You can also view performance insights for your Amazon EKS clusters directly in the Amazon EKS console. You can use AMP agent-less scrapers or the AWS Distro for OpenTelemetry add-on to monitor and collect logs for your clusters, infrastructure, and applications. You can use Amazon CloudWatch Container Insights, the CloudWatch Observability Agent add-on, and Amazon EKS control plane logging to monitor, collect logs, and analyze issues with your clusters, infrastructure, and applications. Amazon EKS also integrates with Amazon CloudTrail for auditing cluster API activity, and Amazon GuardDuty for audit log threat analysis and runtime threat detection. See Monitor your cluster performance and view logs for more information.
Storage
You can use a range of AWS storage services with Amazon EKS for the storage needs of your applications. Through an AWS-supported breadth of Container Storage Interface (CSI) drivers, you can easily use Amazon EBS, Amazon S3, Amazon EFS, Amazon FSX, and Amazon File Cache for the storage needs of your applications running on Amazon EKS. See Store application data for your cluster for more information.
Add-ons
Amazon EKS offers a curated set of AWS-vended Kubernetes software, also known as Amazon EKS add-ons, that provide key operational capabilities for Kubernetes clusters and integration with various AWS services for cluster and pod networking, load balancing, storage, observability, and security. Amazon EKS provides a unified management experience for finding, selecting, installing, managing, and configuring third-party Kubernetes operational software (add-ons) from independent software vendors on Amazon EKS clusters. See Amazon EKS add-ons for more information.
Management interfaces
Amazon EKS supports a range of interfaces to provision, manage, and maintain clusters including the Amazon EKS console, Amazon EKS API/SDKs, CDK, AWS CLI, eksctl CLI, AWS CloudFormation, and Terraform. You can also use AWS Controllers for Kubernetes (ACK) to provision and manage AWS services from within your Kubernetes environment using Kubernetes interfaces. ACK makes it simple to build scalable and highly available Kubernetes applications utilizing AWS services. See Get started with Amazon EKS for more information.
Operating systems
Amazon EKS supports a range of operating systems and you can use pre-built, Amazon EKS-optimized Amazon Machine Images (AMIs) for the base images of your compute nodes. Amazon EKS maintains optimized images for Amazon Linux 2, Amazon Linux 2023, Bottlerocket, Windows, and there are Ubuntu images maintained by Canonical. You can also use your own custom AMIs for other operating system variants. The Amazon EKS AMIs for Amazon Linux have built-in support for NVIDIA and AWS Neuron accelerated instance types. See Create nodes with pre-built optimized images for more information.
Amazon EKS Pricing
Amazon EKS has per cluster pricing based on Kubernetes cluster version support, pricing for Amazon EKS Auto Mode, and per vCPU pricing for Amazon EKS Hybrid Nodes. When using Amazon EKS, you pay separately for the AWS resources you use to run your applications on Kubernetes worker nodes. For example, if you are running Kubernetes worker nodes as Amazon EC2 instances with Amazon EBS volumes and public IPv4 addresses, you are charged for the instance capacity through Amazon EC2, the volume capacity through Amazon EBS, and the IPv4 address through Amazon VPC. Visit the respective pricing pages of the AWS services you are using with your Kubernetes applications for detailed pricing information.
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For Amazon EKS cluster, Amazon EKS Auto Mode, and Amazon EKS Hybrid Nodes pricing, see Amazon EKS Pricing
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For Amazon EC2 pricing, see Amazon EC2 On-Demand Pricing
and Amazon EC2 Spot Pricing . -
For AWS Fargate pricing, see AWS Fargate Pricing
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You can use your savings plans for compute used in Amazon EKS clusters. For more information, see Pricing with Savings Plans
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