Kubernetes hosting cost comparison 2026: the real price of managed K8s
March 28, 2026
Aron Wagner
CEO & Co-Founder
Kubernetes won. In 2026, it is the default orchestration layer for containerized workloads across every industry. The question is no longer whether to use Kubernetes. The question is where to run it and how much you will actually pay.
The sticker price on managed Kubernetes is misleading. The control plane fee, if there is one, is the smallest part of the bill. The real costs hide in node pricing, egress fees between pods, load balancer charges, persistent volume fees, and monitoring add-ons that you cannot run production without.
Here is what Kubernetes hosting actually costs across the major providers, and where the hidden charges live.
Control plane fees: the visible cost
The control plane manages your cluster's state: the API server, scheduler, etcd, and controller manager. Some providers charge for it. Others do not.
- AWS EKS: $0.10/hour per cluster ($73/month)
- Google GKE: Free for Autopilot mode, $0.10/hour for Standard mode ($73/month)
- Azure AKS: Free for the control plane (but you pay for everything else)
- American Cloud: Free for non-HA clusters (single control node included); additional control nodes for HA are billed
The control plane fee is the one cost everyone compares. It is also the least important number. A $73/month control plane fee is noise compared to the thousands you will spend on worker nodes and data transfer.
Node costs: where the real money goes
Worker nodes are the compute that actually runs your containers. This is where the bill gets serious. Here is what comparable nodes actually cost per month across providers in 2026, with equivalent storage included so you are comparing the real bill — not just the compute line item:
| Node size | American Cloud | AWS EKS | Google GKE | Azure AKS |
|---|---|---|---|---|
| Small (2 vCPU, 4GB RAM, 150GB SSD) | $47 | $42 (t3.medium $30 + 150GB EBS $12) | $52 (e2-medium $40 + 150GB PD $12) | $72 (B2ms $60 + 150GB disk $12) |
| Mid (4 vCPU, 8GB RAM, 200GB SSD) | $94 | $156 (m6i.xlarge $140 + 200GB EBS $16) | $114 (e2-standard-4 $98 + 200GB PD $16) | $156 (D4s_v5 $140 + 200GB disk $16) |
| Large (8 vCPU, 16GB RAM, 250GB SSD) | $188 | $160 (m6i.xlarge $140 + 250GB EBS $20) | $118 (e2-standard-4 $98 + 250GB PD $20) | $160 (D4s_v5 $140 + 250GB disk $20) |
| XL (8 vCPU, 32GB RAM, 500GB SSD) | $290 | $320 (m6i.2xlarge $280 + 500GB EBS $40) | $236 (e2-standard-8 $196 + 500GB PD $40) | $320 (D8s_v5 $280 + 500GB disk $40) |
Note: hyperscaler storage prices are base rates only (EBS gp3 at $0.08/GB). Add IOPS and throughput provisioning and those numbers climb further. American Cloud includes SSD storage per node — one line item, one price.
These are just the per-node costs. The hyperscaler bill does not stop here. Add the control plane fee, egress between AZs, load balancers, and monitoring surcharges and the real cost diverges fast.
Reserved instances and committed use discounts can reduce hyperscaler node costs by 30-50%, but only if you commit for 1-3 years. That commitment works for stable workloads. For growing teams still figuring out their resource needs, it is a gamble.
Hidden cost 1: egress fees between nodes
This is the cost most teams discover after their first real bill. Pods communicate constantly: service calls, database queries, log shipping, metrics collection.
On AWS, cross-AZ data transfer costs $0.01/GB each direction ($0.02/GB round trip). A production cluster across three AZs generating 5TB of cross-AZ traffic pays $100/month. At 20TB, that is $4,800/year for your pods talking to each other.
On American Cloud, inter-node traffic costs zero. Your pods communicate freely without a meter running on every packet.
Hidden cost 2: load balancers
Every Kubernetes LoadBalancer service provisions a cloud load balancer at $16-18/month base plus traffic charges. A typical cluster runs 3-10 of them: $48-$180/month in base fees alone. Teams that are not careful end up with dozens provisioned by Helm charts and forgotten.
Hidden cost 3: persistent volumes
On AWS, a 500GB EBS gp3 volume costs $40/month in storage, plus $30/month for 10,000 IOPS, plus $20/month for 500 MB/s throughput. These per-IOPS and per-throughput charges make storage costs unpredictable and hard to budget.
Hidden cost 4: monitoring and logging
You cannot run production Kubernetes without monitoring and logging. The cloud-native options are expensive:
- AWS CloudWatch container insights: $0.50 per container per hour at scale
- Google Cloud Operations (formerly Stackdriver): $0.50/GB for log ingestion
- Azure Monitor container insights: $2.76/GB for log data ingested
A 10-node cluster generating 50GB of logs per month pays $25/month on GCP just for log storage. That sounds reasonable until your logging volume grows, which it will as you add services, increase traffic, and comply with audit requirements.
Many teams switch to self-hosted Prometheus and Grafana to control these costs, but that adds operational overhead and consumes cluster resources.
The total picture
For a modest production cluster — 5 Mid-tier worker nodes (4 vCPU, 8GB RAM, 200GB SSD each), 3 load balancers, 50GB logs, 5TB cross-AZ traffic:
| Cost category | AWS EKS (m6i.xlarge) | American Cloud (Mid) |
|---|---|---|
| Control plane | $73/mo | $0 (non-HA) |
| Worker nodes + storage (5x) | $780/mo ($156/node) | $470/mo ($94/node) |
| Load balancers (3x) | $49+/mo | Included |
| Cross-AZ egress (5TB) | $100/mo | $0 |
| Monitoring/Logging | $25+/mo | Included basics |
| Monthly total | $1,027+ | $470 |
| Annual total | $12,324+ | $5,640 |
That is a 54% cost difference on a modest 5-node cluster. Scale to 20 nodes and the annual gap exceeds $26,000 — real money that funds engineering hires instead of AWS invoices. If you are a startup watching every dollar, here is how to cut your infrastructure costs by 25%+.
When self-hosted Kubernetes makes sense (and when it doesn't)
Some teams consider running Kubernetes themselves on bare metal or VMs to avoid managed K8s fees entirely. The math looks appealing until you account for the operational cost.
Managing a production Kubernetes cluster requires deep expertise in networking, storage, security, and upgrades. The operational cost in engineering time far exceeds the managed K8s premium unless you are running a large fleet of clusters.
Self-hosted Kubernetes makes sense at scale: 50+ nodes, multiple clusters, a dedicated platform engineering team. For everyone else, managed Kubernetes is the right choice. The question is which managed provider gives you the best value.
American Cloud: Kubernetes without the hidden costs
American Cloud's managed Kubernetes gives you a free control plane for non-HA clusters, competitive node pricing, and zero egress fees between nodes, between your cluster and your other American Cloud services, and between your cluster and the internet.
No per-LCU load balancer surcharges. No per-IOPS storage gotchas. No cross-AZ data transfer taxes for your pods communicating with each other. The price you see is close to the price you pay, which is how infrastructure pricing should work.
Compare the real cost of Kubernetes, not just the control plane fee. See American Cloud's managed K8s pricing and run the numbers on what you will actually pay.