By INI8 Labs · 2026-06-03 · 12 min read

EKS vs GKE vs AKS: Choosing the Right Managed Kubernetes Service in 2025

Over 81% of enterprises now use or are evaluating Kubernetes in production. If your team has reached the point of choosing a managed Kubernetes service, you've already answered the hard question. The question in front of you now is which cloud to run it on — and the answer matters more than most teams realise.

EKS, GKE, and AKS are all mature, production-ready platforms. But they were built with different organisations in mind, carry different cost structures, and have meaningfully different operational characteristics at scale. The choice you make today will shape your infrastructure costs, your operational tooling, your compliance posture, and your team's Kubernetes expertise for the next three to five years.

What Is a Managed Kubernetes Service?

A managed Kubernetes service handles the Kubernetes control plane — the API server, etcd, scheduler, and controller manager — on your behalf. You're responsible for the data plane: the worker nodes that run your workloads, the networking between them, and the application configurations deployed to the cluster.

The value proposition is straightforward: control plane operation is operationally complex and low-differentiating. No engineering team should be spending cycles on etcd backup procedures when their core job is shipping product.

Control Plane Pricing: The Headline That Misleads

AKS's free control plane saves $73/month per cluster — meaningful at small scale, irrelevant at large scale. Node compute accounts for 60–70% of a typical managed Kubernetes bill. At a 20-node cluster, the $73 control plane fee is under 3% of total spend.

EKS extended support trap: AWS introduced Extended Support for EKS in 2024, charging $0.60/hr per cluster for Kubernetes versions that have left standard support — that's $438/month on top of the standard $73. Teams that are slow to upgrade face significantly higher EKS costs than they budgeted for.

GKE Autopilot pricing: GKE Autopilot charges at the pod level rather than the node level. For clusters with variable workloads and low average utilisation, Autopilot can actually cost less because you don't pay for idle node capacity.

Kubernetes Version Support: Why GKE Wins on Currency

As of late 2025, all three providers support Kubernetes 1.33. But the cadence at which they adopt new versions differs significantly:

• GKE: Typically within 2 weeks of upstream release
• AKS: 3–6 weeks after upstream
• EKS: 4–8 weeks after upstream

For teams running AI inference workloads or agentic AI systems — where Kubernetes primitives are evolving fastest — GKE's faster adoption cadence is a material advantage.

Deep Dive: EKS, GKE, and AKS Side by Side

Amazon EKS: Best for AWS-Native Organisations

Strengths:

• Deepest integration with AWS services: IAM, ALB, EBS, EFS, Route 53, Secrets Manager, CloudWatch
• Largest global region coverage of the three
• Most available operational knowledge (documentation, community, hiring pool)
• EKS Auto Mode: automated node lifecycle management for AI/ML workloads
• Karpenter (AWS-origin) is the industry-leading Kubernetes autoscaler

Watch out for:

• Highest networking complexity out of the three (VPC CNI default)
• Extended Support fees if upgrade velocity is slow
• IAM + RBAC integration requires careful configuration

Google GKE: Best for AI/ML Workloads and Kubernetes-Native Teams

Strengths:

• Fastest Kubernetes version adoption (2 weeks post-upstream)
• GKE Autopilot: pod-level billing with node management abstracted entirely
• Google claims GKE inference capabilities reduce serving costs by over 30%, cut tail latency by 60%, and increase throughput by up to 40%
• Best multi-cluster management (GKE Fleet)
• Automatic sustained-use discounts without requiring reserved instance commitments
• Agent Sandbox: first mover on Kubernetes-native agentic AI infrastructure

Watch out for:

• Smaller ecosystem than AWS
• GCP's global region footprint smaller than AWS
• Less hiring depth for GKE-specific expertise outside of major tech hubs

Azure AKS: Best for Microsoft-Ecosystem Organisations

Strengths:

• Free control plane — the most cost-effective for multi-cluster deployments
• Azure Arc: manage workloads across on-premises, multi-cloud, and edge from a single control plane
• Strongest enterprise governance and compliance tooling (Azure Policy, Microsoft Defender)
• Excellent Active Directory and Entra ID integration
• Strong Windows container support for organisations modernising .NET workloads

Watch out for:

• AKS upgrade experience has historically been more complex than GKE
• AI/ML tooling ecosystem less mature than GKE for GPU inference

Which Platform for Which Use Case?

Compliance and Certification Coverage

All three platforms carry broad compliance certifications (SOC 2, ISO 27001, PCI DSS, HIPAA BAAs).

Healthcare (HIPAA/HITECH): AWS, Azure, and GCP all offer BAAs. EKS is the most commonly used in US healthcare due to AWS's dominant market position.

Financial services (PCI DSS, SOC 2): All three are certified. Azure has the strongest integration with Microsoft's compliance documentation tooling.

Government: AKS has the most mature FedRAMP coverage (Azure Government). AWS GovCloud covers EKS.

Actionable Takeaways

• Don't choose based on control plane pricing — it's the least significant cost factor at production scale
• Watch EKS extended support fees if your team has a slow upgrade cadence
• Choose GKE if AI/ML inference or agentic workloads are a significant part of your roadmap
• Choose AKS if you're running significant Microsoft infrastructure and want free control plane at multi-cluster scale
• Evaluate your team's existing cloud expertise heavily — switching platforms mid-scale is expensive

FAQ

What is the difference between EKS, GKE, and AKS? All three are managed Kubernetes services that handle control plane operations for you. EKS is AWS-native with the deepest AWS ecosystem integration. GKE is Google's offering with the fastest Kubernetes version adoption and strongest AI/ML tooling. AKS is Azure's service with a free control plane and the best Microsoft ecosystem integration.

Which managed Kubernetes is cheapest? AKS has no control plane fee, making it cheapest at small cluster counts. At scale, node compute (60–70% of total cost) dominates, and GKE's automatic sustained-use discounts often make it competitive. EKS can become expensive for teams on slow upgrade cycles due to Extended Support fees.

Is GKE better than EKS for machine learning workloads? Generally yes in 2025. GKE has AI-aware autoscaling, faster Kubernetes version adoption, and Google's claim of 30%+ cost reduction for inference compared to other managed services.

What is GKE Autopilot? GKE Autopilot abstracts node management entirely, billing at the pod resource level rather than node level. Teams pay for what their pods request, not for idle node capacity.

What is EKS Extended Support and why does it matter? AWS charges $0.60/hr ($438/month) per cluster for Kubernetes versions that have left standard support. Organisations with slow upgrade cycles can significantly overpay on EKS compared to GKE or AKS.

How do I migrate between managed Kubernetes providers? Kubernetes workloads defined as Helm charts or Kustomize manifests are largely portable. The main migration complexity is cloud-specific integrations: load balancers, storage classes, IAM bindings, and networking configurations all need to be redesigned for the target cloud. Budget 2–4 months for a production-grade migration of a mature cluster.

INI8 Labs designs and operates production Kubernetes platforms on EKS, GKE, and AKS for engineering teams. Our XplorX Kubernetes platform and DevOps services are built on the same infrastructure patterns described here.