Table Of Contents
What Is EKS? What Does Amazon EKS Do? EKS Vs. ECS: How Do They Compare? How Does EKS Pricing Work? How To Better Understand Amazon EKS Costs So You Can Optimize Them Amazon EKS FAQs

AWS did not intend to build Amazon EKS; it simply had to. Kubernetes adoption beamed light years ahead of AWS’s own managed container orchestration service. This forced AWS to develop a managed service to accommodate customers who wanted to use upstream Kubernetes but did not want to manage it themselves.

As soon as AWS got around to it, it knocked the Kubernetes-based container management service out of the park. Not only is Amazon EKS simpler than Kubernetes, but EKS pricing may also be worth it.

Yet, to understand Amazon EKS pricing, it is first necessary to understand what EKS is used for.

What Is EKS?

EKS is short for Elastic Kubernetes Service, a fully managed container service that helps run Kubernetes apps on-premises or in the AWS public cloud. Amazon EKS enables you to use Kubernetes without needing to install, run, or configure it.

Instead, AWS manages all Kubernetes control plane administration tasks, such as upgrades, patching, scaling across multiple AWS Availability Zones, security configurations, and replacing unhealthy instances. AWS also scales backend persistent layers and API servers via the Amazon EKS service.

Also, Amazon EKS is certified Kubernetes-compatible, so applications you run on upstream Kubernetes will also run on Amazon EKS without issue.

For all these to work, your EKS admin or developer must set up worker nodes and link them to Amazon EKS endpoints.

Note: Amazon EKS Anywhere offers a new Amazon EKS deployment option to create, run, and maintain on-premises Kubernetes clusters. So, it delivers an EKS-like experience for customers who want to run Kubernetes on their own hardware.

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What Does Amazon EKS Do?

Amazon EKS also maintains the highly available and scalable control plane nodes that schedule containers, manage application availability, store cluster data, and perform other vital tasks in Kubernetes.

With EKS, you can run your Kubernetes apps on Amazon EC2 and AWS Fargate. Still, Amazon EKS integrates natively with multiple Amazon services, such as:

  • Elastic Load Balancing – Detects and automatically performs load distribution
  • Amazon ECR – For container images
  • AWS Identity and Access Management (IAM) – Integrates role-based access control for security (users need to create an IAM role)
  • Amazon Virtual Private Cloud (VPC) – To support networking for pods
  • AWS PrivateLink – For easing and securing network connectivity
  • AWS CloudTrail – API, log monitoring, and call-recording service. Read more on CloudTrail vs. CloudWatch here.

Here’s a visual illustration of how Amazon EKS works:

Amazon EKS Architecture

Credit: How Amazon EKS architecture works by SCMGalaxy

With Amazon EKS, each cluster has a single tenant Kubernetes control plane. Infrastructure for the control plane is not shared between clusters or AWS accounts. The control plane will consist of at least two API server instances and three etcd instances operating across three AWS Availability Zones in an AWS Region.

Kubernetes uses pods (groups of containers) to schedule, run, and scale servers. With Amazon EKS, you can replicate master schedulers in three Availability Zones within an AWS Region to ensure high availability.

EKS also utilizes various open-source tools, such as Kubernetes and Docker, which enable you to migrate pods from AWS to other environments without modifying your application’s code.

However, much of that resembles what the Amazon Elastic Container Service (Amazon ECS) does, or does it?

EKS Vs. ECS: How Do They Compare?

Both are fully managed AWS services, but Amazon ECS and EKS differ in several ways.

Aspect

Amazon EKS

Amazon ECS

Service

Based on Kubernetes, fully managed by AWS

AWS-native container orchestration similar to Kubernetes or Docker Swarm

Compatibility

Works with upstream Kubernetes tools and configurations

Deeper native integration with AWS services, including Fargate

Portability

Portable — workloads can move to any standard Kubernetes environment

Best suited for AWS-only workloads; higher risk of vendor lock-in

Networking

Supports up to 750 pods per instance

Supports up to 120 tasks per instance

Namespaces

Supports multiple namespaces (e.g., Dev, Staging, Prod) within a single cluster

Does not use namespaces; workloads are isolated per service

Security

Relies on add-ons to integrate with IAM

Natively integrated with IAM for access control

Deployment model

Deploys pods via Kubernetes control plane (more setup complexity)

Deploys tasks directly via AWS Console, SDK, or CLI (simpler configuration)

The significant difference is that while Amazon EKS is a managed Kubernetes service, Amazon ECS is a Kubernetes alternative. ECS was designed as a managed container orchestration service to help AWS customers build, run, and scale secure containerized applications more easily than Kubernetes.

However, Kubernetes’ popularity soared, and so AWS launched EKS to help customers who wanted to use full-blown Kubernetes but without all the administration work required to maintain it.

That said, what is the pricing model for Amazon EKS?

How Does EKS Pricing Work?

Each Amazon EKS cluster incurs a cost of $0.10 per hour. Additionally, you are responsible for any additional resources your cluster utilizes, including compute and storage costs.

Both ECS and EKS charge based on the resources your workload consumes, so you’re paying for the EC2 instances that run ECS Tasks or EKS Kubernetes pods.

There’s no extra fee to use ECS. But EKS clusters cost $0.10 per hour per cluster, plus compute costs. That means you’ll spend an additional $74 monthly on each Kubernetes cluster you run with EKS vs. ECS. If you run multiple clusters, the cost can add up fast.

You can run EKS on the AWS cloud with Fargate or Amazon EC2 (or on-premises using AWS Outposts). Amazon EKS pricing depends on the deployment option you choose. Here’s how.

Pricing for Amazon EKS with Amazon EC2

Here, you’re charged for the resources you use, such as compute (EC2 instances) and storage (Amazon EBS volumes) to run the Kubernetes worker nodes. This follows a pay-per-use pricing model, so no upfront payments or minimum charges are required.

As a result, you fully control the type of EC2 instance used here. For example, when training a Machine Learning (ML) model with specific GPU requirements, you can pick a GPU-optimized instance type.

Also, you take advantage of Amazon EC2 based pricing, such as Savings Plans, spot instances, and commitment-free on-demand instances, to reduce your costs. But you’re responsible for patches, network security, and scalability.

Example:

 If you run an EKS cluster with three m5.large worker nodes (2 vCPU, 8 GB RAM) 24/7

  • Cluster fee: $0.10 × 24 × 30 = $72/mo
  • EC2 compute (all on-demand): $0.096/hr × 3 × 24 × 30 ≈ $207/mo
  • EBS (100 GB gp3): ~$0.08/GB-mo × 100 = $8/mo
      Estimated total (all on-demand): ~ $287/mo

If one node is Spot (~70% off):

  • Compute becomes: (2 × $0.096 + $0.0288) × 24 × 30 ≈ $159/mo
  • New total: $72 + $159 + $8 ≈ $239/mo

Note: As of June 1, 2025, AWS stopped allowing Reserved Instances and Savings Plans to be shared across customers within an organization — each must now hold its own commitments. The Cost Optimization Hub now supports Savings Plan preferences for term and payment options, and new 1-year Savings Plans are available for P5 and P5en GPU instances.

Pricing for Amazon EKS with AWS Fargate

In this case, Amazon EKS calculates charges based on vCPU and memory you use from the moment you begin downloading the container image (Docker pull) until the Amazon EKS pod is terminated.

AWS Fargate pricing is also pay-per-use, so there are no upfront charges. However, a one-minute minimum charge applies. Also, all charges are rounded up to the nearest second.

Additional charges may also apply depending on other resources you use, such as data transfer and CloudWatch utilization charges.

Pricing for Amazon EKS with AWS Outposts

EKS with AWS Outposts pricing is similar to using EKS in the cloud. It costs $0.10 per hour to run the EKS cluster in the cloud (and not on Outposts, which is an on-premises service). The Kubernetes worker nodes will run on Outposts EC2 capacity at no extra cost.

In all three scenarios, Amazon EKS costs can quickly add up depending on usage, which brings us to the question of how to optimize Kubernetes costs.

How To Better Understand Amazon EKS Costs So You Can Optimize Them

Although containerization can enhance an application’s scalability, resilience, and portability, it can also introduce cost blind spots. This is not what you want, because Kubernetes is too easy to scale beyond your budget, whether you use EKS or upstream Kubernetes.

No matter how you configure Kubernetes, you’ll need a monitoring and optimization service to keep costs under control in real-time.

Enter CloudZero Kubernetes Cost Analysis.

Kubernetes cost visibility

CloudZero offers the only cloud cost intelligence platform that combines metrics from the AWS Container Insights service with AWS billing information to calculate Kubernetes costs automatically.

The result: You can view your Kubernetes costs down to the hour, cluster, namespace, and pod level. This granularity enables you to determine exactly where your cloud budget is going, allowing you to identify areas for optimization without negatively impacting your environment’s performance or costs.

You can also see who, what, and why your Kubernetes costs are changing. In addition, CloudZero’s real-time anomaly detection will send you timely alerts when an application consumes more cluster resources than expected. Then you can act before it becomes a costly surprise.

Using CloudZero, you can quickly analyze each containerized workload’s cost just like any other non-containerized resource — or related non-containerized resources like network or storage — which increases your understanding of your SaaS COGS.

You can easily use CloudZero to go beyond reducing cloud costs and focus on what matters most: optimizing Amazon EKS components to ensure optimal performance and costs.

Want to see the Kubernetes cost intelligence in action? .

Amazon EKS FAQs

What is the difference between Amazon EKS and Kubernetes?

Kubernetes is an open-source container orchestration platform, whereas Amazon EKS is a managed container management service built on top of Kubernetes. EKS simplifies Kubernetes for customers who need to use it for containerized app management through AWS for various reasons, including integration with other AWS services.

What is the difference between EKS and ECS?

ECS and EKS are both fully managed AWS services. But while Amazon EKS is based on Kubernetes, ECS is an AWS-only container orchestration service.

When should you use EKS?

EKS is an excellent alternative when you lack the resources, expertise, or budget to deploy containerized applications with upstream Kubernetes. Use EKS if you want a level of portability to avoid AWS vendor lock-in.

When should you use ECS instead of ECS?

AWS ECS is a great option for creating, running, and maintaining containerized apps. AWS ECS is a great option for building, running, and maintaining containerized apps only on the AWS cloud. It is also usually less expensive than EKS.

Is EKS cheaper than ECS?

Not usually. EKS adds a $0.10 per hour per cluster control plane fee on top of compute and storage costs, while ECS does not. However, EKS can sometimes be more cost-effective for teams using Kubernetes at scale, thanks to its portability, open-source flexibility, and integrations with cost-optimization tools.

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The step-by-step guide to cost maturity

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