EKS vs GKE

Amazon EKS vs Google GKE: choosing the right managed Kubernetes service in 2026. Deep comparison of provisioning, networking, autoscaling, and cost.

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Feature Matrix	Amazon EKS AWS managed Kubernetes with the deepest cloud-native AWS service integrations and Karpenter.	Google GKE Google's managed Kubernetes — the most operationally polished, fastest to provision, and easiest to upgrade.
Control Plane Cost EKS charges $0.60/hr for clusters running Kubernetes versions on extended support (after 14-month standard window). GKE charges the same base rate.	$0.10/hr (standard support); $0.60/hr on extended support versions	$0.10/hr per cluster (Autopilot differs)
Provisioning Speed GKE consistently provisions clusters and node pools faster than EKS.	5–12 min (new cluster)	2–5 min (fastest in class)
Upgrade UX GKE Release Channels handle control plane and node upgrades with zero manual steps.	Manual / Managed Node Groups	Release Channels (fully automated)
Node Autoscaling Karpenter on EKS is the gold standard for reactive bin-packing. GKE Autopilot abstracts nodes entirely.	Karpenter (best-in-class) or MNG	GKE Autopilot / Node Auto Provisioner
Networking (CNI) EKS VPC CNI exhausts subnet IPs quickly without prefix delegation. GKE's networking is tighter out of the box.	AWS VPC CNI — IP-per-pod, IP-hungry	VPC-native with Alias IP — efficient
IAM / Workload Identity Both map K8s service accounts to cloud IAM roles. IRSA requires an OIDC provider; GKE WI is simpler to configure.	IRSA (IAM Roles for Service Accounts)	Workload Identity Federation
Ecosystem Depth If you use heavy AWS services, EKS wins on native integration depth.	Deepest AWS service integrations (ALB, RDS, Secrets Manager, etc.)	Best-in-class K8s conformance and GCP integrations
Observability GKE's native observability is more K8s-aware. EKS users often prefer Prometheus + Grafana stack.	CloudWatch Container Insights (costly)	Cloud Logging / Cloud Monitoring (tighter K8s integration)
GPU / AI Workloads Both are solid; EKS has a wider variety of GPU instance families via AWS.	Strong (p4d, p5, Inf2 instances)	Strong (A100, H100 via GKE Standard)
Spot / Preemptible Nodes Karpenter's native spot handling with bin-packing and rebalancing is arguably superior.	Spot Instances + Karpenter disruption handling	Spot VMs + Autopilot spot pods

Overview

EKS and GKE are the two most production-proven managed Kubernetes offerings in 2026. EKS wins on AWS ecosystem depth — if you're running RDS, SQS, Secrets Manager, and ALB natively, EKS's IRSA and VPC integration are hard to replicate elsewhere. GKE wins on operational polish: faster provisioning, Release Channels for hands-off upgrades, and a networking model that doesn't exhaust your subnet IPs. Both charge $0.10/hr for the control plane, but real cost differences emerge in egress, node pricing, and tooling choices.

Where EKS Wins

EKS is the right choice when your stack is heavily AWS-native. IRSA gives every pod fine-grained IAM access without credential rotation. Karpenter — born at AWS and now CNCF-owned — is the best node autoscaler on any cloud: it provisions nodes directly (bypassing ASGs), bin-packs aggressively, and handles spot interruptions natively. If you run GPU workloads on p4d, p5, or Inf2 instances, or if your team already operates in AWS and uses services like PrivateLink, RDS Proxy, or AWS Config, EKS wins on integration depth alone.

Where GKE Wins

GKE wins on day-2 operations. Release Channels mean you never manually patch a control plane again — Google rolls upgrades automatically, with surge upgrades for node pools. Provisioning a new cluster takes 2–5 minutes vs EKS's 5–12. GKE's VPC-native networking with Alias IPs is more IP-efficient than EKS's VPC CNI without prefix delegation. For teams that want Kubernetes to feel like a managed service — not an ops project — GKE Autopilot takes this further by abstracting away node management entirely.

Migration & Switching Cost

Migrating between EKS and GKE is a meaningful undertaking. Your IAM model changes completely (IRSA → Workload Identity), your networking changes (VPC CNI → VPC-native), your ingress changes (ALB Ingress Controller → GKE Ingress or Gateway API), and your storage classes change (EBS → Persistent Disk). Plan for 4–8 weeks of infra work for a mid-size cluster. Use Velero for stateful workload backup before migration. The Kubernetes manifests themselves are portable — the cloud-specific integrations are not.

Final Verdict

For most platform teams, we recommend GKE if you're on GCP or if you want the lowest operational overhead. Choose EKS if your stack is AWS-native — the IRSA + Karpenter combination is genuinely best-in-class and the depth of AWS service integration is unmatched. Avoid EKS if your team is small and doesn't want to own networking and upgrade complexity.

The K8s Cloud Wars: EKS vs GKE vs AKS (2026 Edition)

A hands-on comparison of the three major managed Kubernetes services across provisioning, networking, cost, and day-2 ops.

Read the Blog Post

Feature Matrix

Amazon EKS

AWS managed Kubernetes with the deepest cloud-native AWS service integrations and Karpenter.

Google GKE

Google's managed Kubernetes — the most operationally polished, fastest to provision, and easiest to upgrade.

Control Plane Cost

EKS charges $0.60/hr for clusters running Kubernetes versions on extended support (after 14-month standard window). GKE charges the same base rate.

$0.10/hr (standard support); $0.60/hr on extended support versions

$0.10/hr per cluster (Autopilot differs)

Provisioning Speed

GKE consistently provisions clusters and node pools faster than EKS.

5–12 min (new cluster)

2–5 min (fastest in class)

Upgrade UX

GKE Release Channels handle control plane and node upgrades with zero manual steps.

Manual / Managed Node Groups

Release Channels (fully automated)

Node Autoscaling

Karpenter on EKS is the gold standard for reactive bin-packing. GKE Autopilot abstracts nodes entirely.

Karpenter (best-in-class) or MNG

GKE Autopilot / Node Auto Provisioner

Networking (CNI)

EKS VPC CNI exhausts subnet IPs quickly without prefix delegation. GKE's networking is tighter out of the box.

AWS VPC CNI — IP-per-pod, IP-hungry

VPC-native with Alias IP — efficient

IAM / Workload Identity

Both map K8s service accounts to cloud IAM roles. IRSA requires an OIDC provider; GKE WI is simpler to configure.

IRSA (IAM Roles for Service Accounts)

Workload Identity Federation

Ecosystem Depth

If you use heavy AWS services, EKS wins on native integration depth.

Deepest AWS service integrations (ALB, RDS, Secrets Manager, etc.)

Best-in-class K8s conformance and GCP integrations

Observability

GKE's native observability is more K8s-aware. EKS users often prefer Prometheus + Grafana stack.

CloudWatch Container Insights (costly)

Cloud Logging / Cloud Monitoring (tighter K8s integration)

GPU / AI Workloads

Both are solid; EKS has a wider variety of GPU instance families via AWS.

Strong (p4d, p5, Inf2 instances)

Strong (A100, H100 via GKE Standard)

Spot / Preemptible Nodes

Karpenter's native spot handling with bin-packing and rebalancing is arguably superior.

Spot Instances + Karpenter disruption handling

Spot VMs + Autopilot spot pods