Blog Cloud Costs Cloud Native Multi-Cloud

The True Cost of Running Kubernetes in 2025: AKS vs EKS vs GKE

Kubernetes is the most powerful container orchestrator for cloud environments. While it’s open-source and free, running it in the public cloud (or on-prem) still incurs costs.

Without careful planning, your costs can quickly spiral out of control. 

The actual price you pay for Kubernetes depends on the resources used and which cloud provider you choose. 

Niels Kroeze

Author

Niels Kroeze IT Business Copywriter

Reading time 13 minutes Published: 15 October 2025

In this article, we compare Kubernetes costs across the three biggest managed Kubernetes platforms: 

  • AKS (Azure Kubernetes Service) 
  • EKS (Amazon Elastic Kubernetes Service) 
  • GKE (Google Kubernetes Engine) 

 

Cost factors of Kubernetes  

Most of the cost derives from the underlying infrastructure and how you deploy Kubernetes. Typically, costs come from: 

  • Compute  
  • Storage  
  • Networking  
  • Database  
  • Monitoring and logging  
  • Backup and disaster recovery  
  • AI and data analytics  
  • Licensing and support  

 

Compute  

Just as with most cloud services, the largest part of your Kubernetes bill likely consists of compute. Here's what forms those costs 

  • Virtual Machines or Nodes: EC2 instances, or virtual machines (VMs) powering your clusters, can quickly rack up costs. Pricing depends on the instance type; general-purpose, memory-optimised, and high-performance options all come at different rates. 
  • Worker nodes: Each worker node adds costs based on the instance type and specifications you choose. Greater nodes with more CPU and RAM cost more but can be more efficient if you're running heavy workloads. What you actually pay depends on how much CPU and memory your containerised apps demand. If requests are too high or poorly set, you're likely paying for resources you don’t use. 
  • Control plane: The control plane manages your Kubernetes cluster. This managed service is often charged at a low price per cluster. However, if you're running multiple clusters, costs can rise quickly. 
  • Pricing model: Prices also vary a lot depending on whether you use on-demand instances (pay-as-you-go), commit to reserved instances for longer use or leverage other discounts such as spot instances. 

 

Storage  

Storage is one of the big cost factors in Kubernetes. Data grows fast, from terabytes to petabytes, and fast SSD storage with high IOPS adds up quickly. 

Here’s where the costs add up: 

  • Persistent storage: Services like AWS EBS continue to charge even when volumes aren’t in use. Orphaned volumes are common, so clean up regularly and right-size what you provision. 
  • Container image storage: Large or outdated images stored in container registries like (ECR, Artifact Registry, ACR) can pile up costs. Optimise image 
  • Backup and snapshots: While crucial for reliability, these can quickly add to your cloud bill. 

 

Networking 

Networking costs mainly come from moving data in and out of your cluster and between nodes. Key factors driving costs include:

  • Data transfer: Traffic inside the cluster (especially across availability zones or regions) can incur charges. 
  • Ingress and egress traffic: Data entering or leaving the cluster to the internet or other cloud services often costs money. 
  • Load balancers: External load balancers used for exposing services add ongoing charges. 
  • Network storage access: Accessing storage over the network (e.g., block or file storage) can have data transfer fees. 
  • Private cluster endpoints: When using private clusters (e.g., AKS with private IP addresses), services like Container Registry, Key Vault, and Storage connect via private endpoints, which incur separate charges. As the number of services and clusters grows, the number of private endpoints increases too. While these charges are usually lower than compute or monitoring, they still add to your overall cost and are worth tracking. 

 

Database  

When you're running databases within or alongside your Kubernetes cluster, costs can quickly add up to be a big part of your Kubernetes spend so you need to track and optimise them. In detail:  

  • Managed database services: Using cloud-managed databases (like AWS RDS, Google Cloud SQL, or Azure Database) incurs ongoing fees based on instance size, storage, and usage. 
  • Self-managed databases on Kubernetes: Running databases inside containers means you're paying for every bit of compute, storage, and networking resources. 
  • Backup and replication: Regular backups, snapshots, and cross-region replication add to storage and network expenses.
     
     

Monitoring and logging 

Monitoring is another major cost driver. Monitoring tools often charge based on the amount of data you ingest. Kubernetes environments generate a lot of logs and metrics (standard output, errors, container logs).  If you push everything into your monitoring system, costs can increase rapidly.  

 

Licensing and support  

Although Kubernetes itself is free, additional licensing and support costs can add up, especially in enterprise environments. 

  • Commercial Kubernetes distributions: Some vendors offer paid Kubernetes platforms with extra features, security or management tools. These come with a price tag. 
  • Third-party software: Monitoring, logging, security or backup tools often require separate licenses or subscriptions. 
  • Support contracts: Enterprise support from cloud providers or vendors (e.g., Red Hat, VMware, or managed Kubernetes services) typically involves ongoing fees. 

 

Managed Kubernetes pricing: AKS vs EKS vs GKE 

Choosing between a managed Kubernetes provider is crucial to control your overall Kubernetes costs. 

Here’s the different pricing for the following three cloud providers:

  1. Azure Kubernetes Service (AKS)
  2. Amazon Elastic Kubernetes Service (EKS)
  3. Google Kubernetes Engine (GKE)

 

Amazon Elastic Kubernetes Service (EKS) Pricing 

1. Control Plane (Cluster Management) Costs 

An EKS cluster comprises a master node, also referred to as the AWS EKS control plane. The cost is $0.10 per hour in (us-east-1 and us-east-2), although pricing varies by region. You’re charged by the minute, with a minimum of one hour if the cluster is running. 

Assuming the cluster runs 24 hours a day for a month: $0.10/hour * 24 hours/day * 30 days = $72. 

EKS Control Plane  Price 
Control Plane Cost      $0.10 per hour 
Estimated Monthly Cost  $72 per cluster 

2. Compute costs 

EKS nodes run on Amazon EC2 instances, and costs vary based on instance type and quantity. Prices start at $0.0042 per hour for small instances like the T4G Nano and can go up to $360.9869 per hour for large compute-optimised ones. 

For persistent storage, Amazon EBS (Elastic Block Storage) is charged at a rate of $0.10 per GB per month (General Purpose SSD). Additionally, you can save money in EKS by using either Savings Plans or Reserved Instances, which both give a discount of up to 72% if you commit to long-term usage. 

EKS Compute Resources  Cost
EC2 Instances  $0.0042 -  $360.9869 per hour 
EBS Storage  $0.10 per GB monthly 
Savings Plans/Reserved Instances  72% Discount 

 

3. Networking costs 

Amazon’s networking costs can add up, especially for data transfer. Like with most cloud providers, all data coming in is free. However, the same is not true for outbound data from AWS to the internet. Outbound transfers from your EKS cluster to the internet start at $0.09 per GB (first 10 TB per month). VPC (Virtual Private Cloud) costs vary depending on usage and setup.  

EKS Networking  Cost
Data transfer out  $0.09 per GB (first 10 TB per month) 
VPC Depending on configuration 

 

Google Kubernetes Engine (GKE) Pricing 

1. Cluster Management Costs 

Just like Azure, Google Kubernetes Engine (GKE) also offers a free tier, suitable for small deployments. For regional or multi-zonal clusters, GKE charges $0.10 per hour per cluster, resulting in approximately $72 per month (if running all day all month), the same as EKS and AKS. 

GKE Cluster Management  Cost
Zonal clusters   Free
Clusters  $0.10 per hour (approx $72/month) 

 

2. Compute Costs 

GKE runs on Google Compute Engine (GCE) instances. Prices start from $0.0449 per hour for general-purpose machine types, such as c4a-standard-1 (1 vCPU, 4 GB RAM). For persistent Disks storage, you pay $0.04 per GB per month – standard provisioned space. This makes GKE the most affordable option. 

For steady workloads, you can reduce compute costs by up to 57% using Committed Use Discounts. 

GKE Compute Resources  Cost
GCE Instances  $0.0449+ per hour 
Persistent Disks  $0.04 per GB per month 
Committed Use Discounts  Up to 57% discount 

 

3. Networking costs 

Google Cloud Platform’s networking costs are similar to Amazon AWS and Microsoft Azure. 

There is no charge for inbound data transfers, but data transfer out (egress) to Europe costs $0.085 per GiB per month for usage above 10,240 GiB. For North America it is slightly less; $0.08. 

Google GKE Networking  Cost
Data transfer out  $0.085 per GB (first 10 TB per month) 
Inter-region traffic  Discounted rates 
Load Balancers  $0.025 per hour for the first 5 rules 
$0.008 per GB of data processed (regional tier) 

 

Azure Kubernetes Service (AKS) Pricing 

1. Control plane (Cluster Management) Costs 

In total, AKS has three pricing tiers:

  • Free tier: Only pay for underlying resources 
  • Standard tier: $0.10 per cluster per hour 
  • Premium tier: $0.60 per cluster per hour 

Unlike Google and Amazon, Microsoft Azure is the only cloud provider that offers a free control plane for its managed Kubernetes service, AKS.  

Note:

The free tier does not include SLAs and is only suitable for small clusters or development and testing environments.  

Another and often “hidden” cost in Azure is monitoring. Most monitoring solutions, such as Azure Monitor, are priced based on the amount of data you send in which can quickly add up to your overall AKS bill. 

 

2. Compute costs 

  • AKS uses virtual machines (VMs) that run your worker nodes. These VMs host your pods and make up the actual compute layer of your cluster. VM pricing in Azure starts at $0.0052/hour (East US region) for economical virtual machines, such as the B-series. High-performance VMs will cost you more.  
  • Azure Managed Disks prices are $0.075 per GB per month (Standard SSD).
  • For predictable and long-term workloads, you can benefit from a 72% discount with Azure Reservations
AKS Compute Resources  Cost
Virtual Machines (VMs)  $0.0052/hour+ 
Managed Disks (Standard SDD)  $0.075 per GB per month 
Reserved Instances  72% Discount 
Note:

Prices differ per region. The selected region in this example is East US. 

3. AKS Networking cost 

  • Outbound data – data egress (from Azure to the internet or other regions) usually has a cost. Microsoft Azure’s outbound data transfer rate is $0.087 per GB for the first 10 TB per month. 
  • AKS also utilises load balancers to manage network traffic between nodes. Pricing starts from $0.025 per hour for the first 5 rules, plus $0.005 per GB of data processed in the Regional tier. 
  • If your AKS involves multiple virtual networks (called VNets), you will incur charges for it. Virtual network peering allows private IP traffic between virtual networks. Pricing starts at $0.01 GB (inbound and outbound) data within the same region. Global VNet peering rates vary by zone, $0.035 per GB (zone 1). 
AKS Networking  Cost
Outbound data transfer (egress)  $0.087 per GB (first 10 TB/Month) 
Load balancer $0.025 per hour for the first 5 rules 
$0.005 per GB of data processed (regional tier) 
VNet peering  $0.01 per GB (inbound and outbound) within same region
$0.035 per GB for Global 
Managed AKS

Read suggestion: AKS vs EKS

Check the differences between Azure Kubernetes Service (AKS) and EKS (Amazon Elastic Kubernetes Service) in this article. 

Read more!

Managed Kubernetes Pricing Comparison: EKS vs. AKS vs. GKE 

Cost Category  Amazon EKS Azure AKS Google EKS
Cluster Management  $0.10 per hour 
No free tier 
$0.10/hour (Standard tier) 
0.60/hour (Premium tier) 
Free Tier 

$0.10 per hour  

Free tier for zonal clusters 

Compute Resources  $0.0042+ per hour  $0.0052+ per hour  $0.0449+ per hour 
Storage $0.10 per GB monthly  $0.075 per GB monthly  $0.04 per GB monthly 
Networking $0.09 per GB (data egress)  $0.087 per GB (data egress)  $0.08 per GB (data egress)  
Discount options RI’s and Savings Plans (up to 72% savings)  Reservations (up to 72% savings)  Committed Use Discounts (up to 57%) 

The pricing models for Amazon EKS, Azure AKS and Google GKE differ in several ways which can directly impact your Kubernetes costs. 

  • Amazon offers scalability and flexibility with the lowest starting price for compute.  
  • Google, on the other hand, offers the most affordable persistent storage at $0.04 per GB per month, which is lower than both Azure and AWS.  
  • Only Azure and GCP offer free tiers: Azure for all AKS clusters, and GCP for zonal GKE clusters only. On outbound data transfer, GKE is slightly cheaper at $0.08 per GB compared to AWS ($0.09) and Azure ($0.087).  

Additionally, each cloud provider offers different saving methods, such as savings plans and reserved instances for stable workloads.

The actual differences in discount depend on your workload size and architecture. 

 

Comparing Kubernetes costs: Real Examples 

Example 1: Small to Medium-Sized Deployments 

The example below is for a small, non-critical Kubernetes deployment (like for dev/test environments) running in a single zone, where performance and uptime aren’t critical: 

Cloud Provider Cluster Management Compute Storage Networking Estimated per month
Amazon EKS  $72 per month  $3.7960 monthly (t3 nano, 2vCPUs, 0.5GiB)  $0.10/GB monthly  $0.09 per GB   $75.99/month
Azure AKS Free 

$3.7960 monthly (standard b1ls, 1vCPUs, 0.5 GiB) 

$0.075 per GB monthly  $0.087 per GB   $3.96/month
Google GKE  Free 

$6.11479244 monthly (e2-micro, 2vCPUs, 1GiB) 

$0.04/GB monthly 

$0.08 per GB  

$6.23/month

In short: 

  • Azure AKS is the most affordable option, offering free cluster management and low compute costs. 
  • Google GKE offers the lowest storage and networking prices and free control plane for zonal clusters. 
  • Amazon EKS is significantly more expensive for small workloads due to its $72/month control plane fee, despite similar compute pricing. 

 

Example 2: Enterprise-Scale Deployments 

This enterprise-scale deployment scenario is ideal for mid-to-large companies that require running production-grade applications with high performance, reliability, and scalability. Think of demanding workloads like analytics, databases, or large-scale web services. 

Cloud Provider Cluster Management Compute Storage Networking Estimated per month
Amazon EKS  $72 per month 

$2242.56 monthly (m6i.16xlarge, 64vCPUs, 256GiB) 

$0.10/GB monthly  $0.09 per GB   $2,461.96 
Azure AKS $0.10 per cluster per hour (Standard Tier) 

$2242.50 monthly (Standard D64 v3, 64vCPUs, 256GiB) 

$0.075 per GB monthly  $0.087 per GB   $2,435.86 
Google GKE  $0.10 per cluster per hour 

$3060.48704 monthly (n2-highmem-64, 64vCPUs, 512GiB) 

$0.04/GB monthly 

$0.08 per GB  

$3,214.51 

Again, AKS is the most affordable option.

Amazon EKS is also highly competitive, Google GKE's higher estimated cost is attributable mainly to its specified compute instance having twice the memory (512 GiB) compared to its counterparts. 

Challenges of Managing Kubernetes Pricing 

Complexity 

Kubernetes introduces a layer of complexity that makes it challenging to determine exactly where your services are running. Unlike traditional setups, where you know which instance hosts which app, Kubernetes schedules pods across nodes dynamically. This “black box” nature means you lose direct insight into resource use. 

Resource over-provisioning 

Over-provisioning, like when you allocate more memory and CPU than workloads actually need, is a major challenge in managing Kubernetes costs.  

Estimated wasted cloud spend reached 27% this year, and much of that is likely to come from unused or oversized resources. Large enterprises can run dozens or hundreds of nodes, each with dozens of CPUs and hundreds of gigabytes of RAM, resulting in costs that run into the millions. 

We often see many customers who don’t know how to select the correct SKU, along with uncertainty about actual workload needs, and no clear visibility into actual usage. 

Limited visibility 

Kubernetes adds a layer of invisibility and complexity where it doesn't easily give you external access. You can’t just open a dashboard and see where all your K8s money is going.

Costs get buried under layers of abstraction: pods, nodes, namespaces, services… You name it. It makes it hard to track what’s running where and what it costs. You need tools that show Kubernetes costs by app, team, or project, so they match how your organisation works. 

Uncontrolled cluster growth 

One of the primary advantages of running Kubernetes is the ease with which resources can be provisioned. But because it’s so easy to add nodes, add new replicas and install components, clusters can grow uncontrollably over time.  

Hybrid and Multi-Cloud environments 

While a multi-cloud avoids vendor lock-in, and a hybrid cloud offers flexibility, both add complexity to managing costs in Kubernetes. 

Different environments mean varied pricing models, resource types and billing methods. This makes tracking, comparing and optimising spend much more of a challenge.

Working Jack

Get in touch with us!

Are you looking for ways to save on your Azure costs? Contact us and we will happily help you out.