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 — though it involves more moving parts than the headline rate suggests.
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:

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 $0.10 per hour in control plane fees during standard support, which covers the first 14 months after a Kubernetes version becomes available in EKS. After standard support ends, clusters running on older Kubernetes versions automatically enter extended support at $0.60 per hour — a 6x increase that continues for up to 12 additional months. Keeping clusters on a current Kubernetes version is one of the simplest ways to avoid an unexpected cost spike.
Organizations remain responsible for additional resources 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 EC2, Fargate, or EKS Auto Mode (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) in us-east-1 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 on commitment pricing changes: As of June 1, 2025, AWS stopped allowing Reserved Instances and Savings Plans to be shared across different end customers within a single AWS Organization — a change primarily affecting managed service providers and resellers. Internal sharing across an organization’s own linked accounts remains unaffected. AWS also introduced RI/SP Group Sharing (GA November 2025) for more granular control over how commitments are distributed.
Pricing for Amazon EKS Auto Mode
EKS Auto Mode lets AWS handle node provisioning, scaling, patching, and Kubernetes version upgrades automatically. You pay the standard $0.10/hr cluster fee plus the EC2 instance cost plus an Auto Mode compute charge that varies by instance type — roughly 10–12% on top of the on-demand instance price.
For example, an m5.large instance in us-east-1 carries an Auto Mode charge of approximately $0.01152/hour on top of the $0.096/hour on-demand rate. Auto Mode charges are billed per-second with a one-minute minimum and apply regardless of whether you purchased the underlying instance as On-Demand, Spot, or through a Savings Plan.
Auto Mode is a strong fit for teams that want Kubernetes without the overhead of managing node groups, AMIs, and scaling policies. The tradeoff is the management premium, which adds up at scale — so organizations running more than 150 nodes should contact their AWS account team for volume pricing.
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.
Fargate works well for sporadic or burst workloads because you only pay for the compute time your job actually runs, making it far more cost-effective than always-on EC2 instances for intermittent tasks. For steady-state workloads, however, EC2-based deployments typically offer better cost efficiency. Fargate Spot can reduce costs by up to 70% for fault-tolerant workloads willing to accept interruptions.
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.
Hidden Costs: Data Transfer and Networking
Beyond compute and storage, data transfer and networking expenses quietly inflate EKS bills. Cross-AZ data transfer between pods costs $0.01/GB in each direction, and for microservice architectures with heavy inter-service communication, this adds up quickly. NAT Gateway charges ($0.045/hr plus $0.045/GB processed) apply when pods reach the internet, and Elastic Load Balancers carry their own hourly and data-processing fees. Designing workloads to minimize cross-AZ traffic and consolidating internet egress through shared NAT Gateways are practical steps to keep these costs in check.
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. A few practical strategies make a meaningful difference:
- Right-size pods and nodes. Overprovisioned CPU and memory waste the most money in Kubernetes. Reviewing resource requests and limits against actual utilization data prevents clusters from running at 20% efficiency while billing at 100%.
- Use commitment pricing. Compute Savings Plans reduce EC2 and Fargate costs by up to 52% for predictable workloads. They cover EC2, Fargate, and Lambda across any region, offering flexibility without locking into specific instance families.
- Consider Graviton instances. AWS Graviton (ARM-based) processors deliver roughly 10–20% better price-performance than equivalent x86 instances for most cloud-native Kubernetes workloads, with no code changes required for containerized applications.
- Stay on supported Kubernetes versions. As noted above, extended support pricing jumps to $0.60/hour — upgrading before the 14-month standard support window closes avoids a 6x control plane cost increase.
Enter CloudZero Kubernetes Cost Analysis.

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?
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Pricing information last verified April 2026. Rates vary by AWS region and are subject to change. Verify current details on the AWS EKS pricing page.
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.
How much does EKS cost per month?
At minimum, the control plane costs roughly $74/month per cluster ($0.10/hr × 730 hours). Total monthly cost depends on worker node type, count, storage, and data transfer — a small production cluster with three m5.large nodes typically runs $250–$300/month all-in on on-demand pricing.
Is EKS Auto Mode more expensive than standard EKS?
EKS Auto Mode adds a management charge of roughly 10–12% on top of EC2 instance costs. In exchange, AWS handles node provisioning, scaling, and patching automatically. For teams spending significant time on cluster operations, the management premium often pays for itself in reduced operational overhead.

