AWS EKS vs Google GKE vs Azure AKS — Which Managed Kubernetes to Use in 2026?

You need managed Kubernetes. The big three cloud providers all offer it. EKS, GKE, and AKS each have real strengths — and real frustrations. Here's an honest comparison.

TL;DR

AWS EKS

Amazon Elastic Kubernetes Service has the largest enterprise adoption. If you're running production workloads on AWS, EKS is the default choice — not because it's the easiest, but because it integrates deeply with everything else in AWS.

What EKS Does Well

IAM integration is best-in-class

IRSA (IAM Roles for Service Accounts) and the newer EKS Pod Identity let pods assume IAM roles without storing credentials. No other cloud does this as seamlessly:

apiVersion: v1
kind: ServiceAccount
metadata:
  name: my-app
  annotations:
    eks.amazonaws.com/role-arn: arn:aws:iam::123456789:role/my-app-role

That's it. Your pod can access S3, DynamoDB, etc. without any secrets.

Networking options are the richest

• VPC CNI (default) — pods get real VPC IPs
• Cilium — eBPF-based, zero-iptables, best for high-throughput
• Calico — network policy focused

Add-on ecosystem

EKS Add-ons manage components (CoreDNS, kube-proxy, VPC CNI, EBS CSI) and keep them updated automatically. Less maintenance overhead vs self-managing these.

Graviton support

ARM-based Graviton nodes on EKS are ~20% cheaper and offer better performance/cost for most workloads.

EKS Frustrations

Cluster provisioning is slow: Creating a new EKS cluster takes 10-15 minutes. GKE is 3-5 minutes.

Control plane costs money: $0.10/hour (~$73/month) per cluster. For dev/staging clusters, this adds up.

Networking complexity: VPC subnets, ENI limits, security groups — EKS networking has a steeper learning curve than GKE.

Node group updates are manual: You have to update managed node groups yourself. GKE and AKS have more automation here.

EKS Pricing (2026)

• Control plane: $0.10/hour = ~$73/month per cluster
• Nodes: Regular EC2 pricing (no K8s premium)
• Fargate: Pay per vCPU/memory per second (expensive for always-on workloads)
• EKS Anywhere: Runs on-prem, subscription-based

Google GKE

Google invented Kubernetes and it shows. GKE has the best developer experience, fastest feature adoption, and most automation of the three. If you're not locked into AWS or Azure, GKE is often the most productive choice.

What GKE Does Well

Autopilot mode

GKE Autopilot eliminates node management entirely. You define pods — Google manages the nodes, scaling, patching, and optimization:

# Just deploy your workload — no node group config needed
apiVersion: apps/v1
kind: Deployment
metadata:
  name: my-app
spec:
  replicas: 3
  template:
    spec:
      containers:
        - name: app
          resources:
            requests:
              cpu: "250m"
              memory: "512Mi"

GKE provisions exactly the right nodes for your workloads. You pay per pod resource, not per node.

Fastest Kubernetes version adoption

GKE usually has new Kubernetes versions available within weeks of release. EKS and AKS lag by 1-3 months.

Release channels

Choose Rapid, Regular, or Stable channels for automatic cluster upgrades. No manual patch scheduling.

Workload Identity

Similar to EKS IRSA, but simpler to configure:

gcloud iam service-accounts add-iam-policy-binding \
  my-app-sa@my-project.iam.gserviceaccount.com \
  --role roles/iam.workloadIdentityUser \
  --member "serviceAccount:my-project.svc.id.goog[default/my-app]"

Best multi-cluster story

GKE Fleet (formerly Anthos) is the most mature multi-cluster management solution. If you need to manage dozens of clusters, GKE's tooling is ahead.

GKE Frustrations

GCP ecosystem lock-in: If your team is primarily AWS, learning GCP IAM, networking, and tooling is a real investment.

Standard mode is more expensive than EKS: On Standard GKE, you pay per node AND a cluster management fee (though control plane is free for Standard mode — no $73/month).

Less enterprise adoption in some industries: Financial services and healthcare often have more EKS expertise available.

GKE Pricing (2026)

• Standard mode: Control plane is free for 1 cluster per project, $0.10/hour for additional clusters
• Autopilot: Pay per pod CPU/memory (typically cheaper than managing over-provisioned nodes)
• Node pricing: Regular GCP Compute Engine pricing

Azure AKS

AKS is Microsoft's managed Kubernetes service. It's the natural choice for organizations running in Azure — especially those with existing Microsoft licensing, Windows workloads, or .NET applications.

What AKS Does Well

Free control plane

AKS doesn't charge for the control plane. That's $0 vs $73/month for EKS.

Windows node support

If you need to run Windows containers on Kubernetes, AKS is the only reasonable choice. Windows node pools are first-class citizens.

Azure Active Directory integration

AKS integrates with Azure AD for RBAC. If your organization uses Microsoft 365 and Azure AD, AKS RBAC maps naturally to your existing identity system.

Confidential computing

AKS has native support for confidential VMs (Trusted Execution Environments) — important for financial and healthcare workloads.

GitOps with Azure Arc

Azure Arc extends AKS management to on-prem and other clouds. If you need hybrid Kubernetes, AKS + Arc is more mature than EKS Anywhere.

AKS Frustrations

Historical reliability issues: AKS had a rocky reputation for reliability through 2023. It's significantly improved in 2025-2026, but the reputation lingers.

Slower Kubernetes version updates: AKS is typically the last to support new Kubernetes versions.

Networking complexity: Azure CNI can exhaust IP space in large clusters. The newer Azure CNI Overlay (like EKS's VPC CNI) helps, but adds config complexity.

Slower node provisioning: Spinning up new nodes is noticeably slower than GKE or EKS.

AKS Pricing (2026)

• Control plane: Free (biggest cost advantage over EKS)
• Nodes: Regular Azure VM pricing
• Uptime SLA: $0.10/hour/cluster (optional, for 99.95% SLA — without it you get "best effort")

Side-by-Side Comparison

Real Recommendations

Pick EKS if:

• You're already running most workloads on AWS
• You need the deepest IAM/S3/RDS integration
• Your team has AWS expertise and certifications
• You need the broadest compliance certification coverage

Pick GKE if:

• You're greenfielding and don't have cloud lock-in yet
• Developer experience and fast iteration matter
• You want Autopilot to remove node management overhead
• You need multi-cluster federation at scale

Pick AKS if:

• You're in an Azure-first organization
• You run Windows containers
• You use Azure AD for identity
• Your compliance requirements are best served by Microsoft's certifications

Learn the One You're Using

Whichever you pick, go deep rather than spread thin. Certifications worth getting:

• AWS Certified DevOps Engineer Professional — Covers EKS, CI/CD, and AWS ops
• Google Cloud Professional Cloud DevOps Engineer — GKE-focused
• CKA (Certified Kubernetes Administrator) — Cloud-agnostic, valid for all three platforms
• KodeKloud — Hands-on labs for EKS, GKE, AKS, and the CKA exam

The "best" managed Kubernetes is the one your team can operate effectively. EKS wins on AWS integration, GKE wins on developer experience, AKS wins on cost and Windows support. Pick based on your existing cloud and team skills — not on benchmark wars.