Key Takeaways
- ✓EKS $73/month, GKE free (zonal), AKS charges only for nodes
- ✓Hidden costs (egress, storage) represent 40% of total budget
- ✓80% of organizations run K8s in production (Spectro Cloud)
The Kubernetes cluster cost comparison between the three main cloud providers reveals significant differences beyond displayed rates.
With 80% of organizations running Kubernetes in production and an average of over 20 clusters according to Spectro Cloud, mastering these costs becomes strategic. This guide analyzes the pricing structures of EKS, GKE, and AKS to optimize your Kubernetes cloud budget.
TL;DR: The real cost exceeds the control plane rate. EKS charges $73/month per cluster, GKE offers a free zonal cluster, AKS only charges for nodes. Hidden costs (egress, storage, monitoring) often represent 40% of the total budget.
This topic is covered in the LFS458 Kubernetes Administration training, which prepares Cloud operations engineers for CKA certification.
Why is Kubernetes cluster cost comparison complex?
Comparing Kubernetes costs requires multi-layer analysis. Each provider structures its pricing differently, making direct comparisons misleading.
According to the CNCF Annual Survey 2025, 82% of container users run Kubernetes in production. This massive adoption intensifies pressure on the Kubernetes cloud budget optimization.
Key takeaway: Calculate TCO over a minimum of 12 months. One-time migration and training costs significantly impact the first-year budget.
Total cost components
| Component | Description | Typical Share |
|---|---|---|
| Control plane | API server, etcd, scheduler | 5-15% |
| Compute nodes | Worker instances | 50-65% |
| Network | Load balancers, egress | 10-20% |
| Storage | Persistent volumes | 10-15% |
| Monitoring/Logs | Observability | 5-10% |
89% of IT leaders plan to increase their cloud budgets in 2025 for AI workloads according to nOps. This trend reinforces the importance of rigorous analysis.
What is the control plane Kubernetes cluster cost comparison?
The control plane represents the heart of Kubernetes. Its pricing varies considerably between providers.
Amazon EKS: $0.10 per hour
EKS charges $0.10/hour per cluster, approximately $73/month. This rate includes:
- Automatic multi-AZ high availability
- Automatic control plane updates
- Native IAM integration
# Check EKS cost via AWS CLI
aws eks describe-cluster --name my-cluster \
--query 'cluster.platformVersion'
Google GKE: hybrid model
GKE offers two distinct modes:
| Mode | Control plane cost | Particularity |
|---|---|---|
| Standard (zonal) | Free (1 cluster) | Billed from the 2nd |
| Standard (regional) | $0.10/hour | Automatic HA |
| Autopilot | Included | Billed per pod |
Autopilot eliminates node management. Evaluate whether this abstraction compensates for the compute surcharge.
Microsoft AKS: free control plane
AKS doesn't charge for the control plane. Only worker nodes generate costs. This approach simplifies Kubernetes cloud budget optimization for Microsoft environments.
Key takeaway: Compare on 10 clusters to reveal the differences. A free cluster at GKE and AKS doesn't reflect cost at scale.
Consult our Kubernetes distributions comparison to understand the technical implications.
How to calculate real compute costs?
Worker nodes constitute the majority of the budget. Optimization strategies differ by platform.
Instance types and pricing
| Instance type | EKS (us-east-1) | GKE (us-central1) | AKS (eastus) |
|---|---|---|---|
| 2 vCPU / 8 GB | ~$60/month | ~$55/month | ~$57/month |
| 4 vCPU / 16 GB | ~$120/month | ~$110/month | ~$114/month |
| 8 vCPU / 32 GB | ~$240/month | ~$220/month | ~$228/month |
Spot and preemptible instances
Use interruptible instances for tolerant workloads:
# Spot node pool configuration on EKS
apiVersion: eksctl.io/v1alpha5
kind: ClusterConfig
managedNodeGroups:
- name: spot-workers
instanceTypes: ["m5.large", "m5a.large"]
spot: true
minSize: 2
maxSize: 10
Savings reach 60-90% compared to on-demand instances. The Kubernetes alternatives FAQ details the tradeoffs.
Autoscaling and rightsizing
The Cluster Autoscaler dynamically adjusts capacity. Configure appropriate limits:
# Autoscaler configuration
apiVersion: autoscaling/v1
kind: HorizontalPodAutoscaler
metadata:
name: app-scaler
spec:
minReplicas: 2
maxReplicas: 50
targetCPUUtilizationPercentage: 70
What network costs to anticipate?
The network generates often underestimated costs. Traffic between zones and regions accumulates quickly.
Inter-zone egress
| Provider | Intra-zone | Inter-zone | Inter-region |
|---|---|---|---|
| AWS | Free | $0.01/GB | $0.02-0.09/GB |
| GCP | Free | $0.01/GB | $0.02-0.08/GB |
| Azure | Free | Free | $0.02-0.05/GB |
Key takeaway: Optimize pod placement to minimize inter-zone traffic. A service mesh can reduce egress by 30%.
Load balancers
Each Service of type LoadBalancer provisions a billed cloud resource:
| Type | EKS (ALB) | GKE | AKS |
|---|---|---|---|
| Hourly | ~$0.025 | ~$0.025 | ~$0.025 |
| Per rule | ~$0.008 | Variable | Variable |
| LCU/data | Variable | Variable | Variable |
The migration to managed Kubernetes details network optimization strategies.
How does Kubernetes cluster cost comparison evolve with storage?
Persistent storage strongly impacts stateful workloads. 66% of organizations hosting AI models use Kubernetes according to the CNCF Annual Survey 2025, intensifying these needs.
Block storage comparison
| Type | EKS (gp3) | GKE (pd-ssd) | AKS (Premium) |
|---|---|---|---|
| $/GB/month | $0.08 | $0.17 | $0.12 |
| Included IOPS | 3000 | Variable | 5000 |
| Throughput | 125 MB/s | Variable | 200 MB/s |
Storage best practices
Apply these optimizations to reduce costs:
- Tiering: move cold data to cheaper storage
- Snapshots: schedule backups off peak hours
- Compression: enable application-level compression
- Lifecycle policies: automatically delete obsolete data
# Optimized StorageClass GKE
apiVersion: storage.k8s.io/v1
kind: StorageClass
metadata:
name: cost-optimized
provisioner: pd.csi.storage.gke.io
parameters:
type: pd-balanced
reclaimPolicy: Delete
volumeBindingMode: WaitForFirstConsumer
What impact does monitoring have on the Kubernetes budget?
Observability represents 5-10% of the total budget. Managed solutions simplify operations but increase costs.
Managed vs open source solutions
| Solution | Estimated monthly cost | Operational complexity |
|---|---|---|
| CloudWatch (AWS) | $3/custom metric | Low |
| Cloud Monitoring (GCP) | $0.26/Mio metrics | Low |
| Azure Monitor | $2.30/GB logs | Low |
| Prometheus + Grafana | Infrastructure only | High |
A company CTO cited by Spectro Cloud confirms: "Just given the capabilities that exist with Kubernetes, and the company's desire to consume more AI tools, we will use Kubernetes more in future." This expansion multiplies monitoring needs.
Key takeaway: Balance cost and expertise. An open source stack saves on licenses but requires solid internal skills.
Consult our Kubernetes training vs alternatives comparison to evaluate associated training investments.
How to optimize Kubernetes cluster cost comparison in practice?
Optimization combines technical and organizational strategies. Consult the Kubernetes comparisons and alternatives page for an overview.
Monthly optimization checklist
Execute these checks each month:
- [ ] Analyze node CPU/memory utilization
- [ ] Identify over-provisioned pods
- [ ] Check unattached volumes
- [ ] Audit unused load balancers
- [ ] Examine egress traffic by service
Kubernetes FinOps tools
| Tool | Functionality | Integration |
|---|---|---|
| Kubecost | Namespace allocation | Multi-cloud |
| CAST AI | Automatic optimization | EKS, GKE, AKS |
| Spot Ocean | Spot instance management | Multi-cloud |
# Install Kubecost via Helm
helm install kubecost kubecost/cost-analyzer \
--namespace kubecost \
--create-namespace \
--set prometheus.enabled=true
Synthetic comparison EKS vs GKE vs AKS
| Criterion | EKS | GKE | AKS |
|---|---|---|---|
| Control plane cost | $73/month/cluster | 0-$73 depending on mode | Free |
| Spot instances | 60-90% savings | 60-80% savings | 60-80% savings |
| Inter-zone egress | $0.01/GB | $0.01/GB | Free |
| Included monitoring | Basic | Basic | Basic |
| Availability SLA | 99.95% | 99.95% | 99.95% |
To deepen Docker Swarm vs Kubernetes orchestration, consult our orchestrator comparison.
Take Action: Master Your Kubernetes Costs
The Kubernetes cluster cost comparison reveals that no platform is universally cheaper. Analyze your specific context: workloads, skills, and existing cloud ecosystem.
According to Splunk, citing Hired's CTO: "Demand and salaries for highly-skilled and qualified tech talent are fiercer than ever, and certifications present a clear pathway for IT professionals to further their careers." Training your teams reduces external dependency and optimizes operational costs.
SFEIR Institute supports organizations in this mastery:
- LFS458 Kubernetes Administration: 4 days to administer and optimize your clusters (Kubernetes training rates available on request)
- LFD459 Kubernetes for Developers: 3 days for performant applications
- Kubernetes Fundamentals: 1 day of discovery. To go further, consult our Docker Swarm to Kubernetes migration guide.
Request a personalized quote and define your training strategy adapted to your FinOps Kubernetes challenges.