GKE vs EKS Cost Comparison (2025): Which One is Cheaper?
We built a calculator to settle the debate. Compare Google GKE (Autopilot/Standard) vs AWS EKS pricing side-by-side using our new free tool.
Walk through two anonymized namespaces and learn the math behind their monthly AWS charges.
Namespace-level reporting strikes the perfect balance: detailed enough for owners, simple enough for finance. Let’s break down two real examples (names changed) using ClusterCost data.
payments-prod| Component | Monthly cost | Notes |
|---|---|---|
| Node usage | $23,420 | Mix of m6i.4xlarge and r6i.2xlarge, 70% utilization |
| Storage | $3,180 | gp3 volumes for Postgres and Redis |
| Load balancers | $1,950 | Dedicated ALB for checkout API |
| Observability | $640 | Loki + Tempo ingest attributed by log volume |
| Total | $29,190 |
How we calculated it:
namespace=payments-prod using ClusterCost’s automatic namespace mapping.Insights: Checkout jobs reserve too much memory—ClusterCost’s rightsizing reports flagged 40% headroom, representing ~ $4k/month in potential savings.
growth-experiments| Component | Monthly cost | Notes |
|---|---|---|
| Node usage | $6,400 | Spot-heavy node pools with short-lived pods |
| Storage | $420 | Ephemeral volumes only |
| Networking | $310 | Shared NAT weighted by data transfer |
| Idle tax | $550 | Request-based floor to cover reserved buffer |
| Total | $7,680 |
This namespace runs dozens of preview deployments. We applied a hybrid allocation:
Insights: 30% of cost came from previews older than seven days. Automating namespace TTL cuts spend in half without slowing releases.
owner, team, environment, customer.Send each namespace owner a short digest:
Namespace costs stop the finger-pointing. Engineers get numbers they can act on; finance gets line items they can book. Everyone wins.***
Contributor
We built a calculator to settle the debate. Compare Google GKE (Autopilot/Standard) vs AWS EKS pricing side-by-side using our new free tool.
Translate cloud invoices into the Kubernetes resources you ship—nodes, storage, load balancers, and egress.
Common failures, fast wins, and the playbook we now apply on every new cluster.
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