Azure Kubernetes Service vs AWS EKS: Which Is Right for Your Project?

When comparing AKS vs AWS EKS, the verdict is clear: use Azure Kubernetes Service if your team runs Azure AD, .NET, or Windows containers; use AWS EKS if your infrastructure is AWS-native or you need mature Fargate support for serverless pods. For a full breakdown of how we evaluate cloud platforms, see our technology comparison hub. Azure Kubernetes Service (AKS) is Microsoft's fully managed Kubernetes control plane that runs on Azure infrastructure with no charge for the control plane itself. AWS EKS is Amazon's managed Kubernetes service that runs on AWS and charges $0.10 per hour per cluster for control plane operation.

The short answer

Pick AKS if your team runs .NET, Windows containers, or Azure Active Directory. Pick EKS if you are AWS-native, need Fargate for serverless pods, or are scaling a team where AWS engineers outnumber Azure engineers in your hiring market.

Four factors drive most AKS vs AWS EKS decisions. First, control plane cost: AKS charges nothing; EKS costs about $73 per month per cluster before any compute. Second, identity: AKS integrates directly with Azure Active Directory and Microsoft Entra ID, removing weeks of auth configuration for Microsoft shops. Third, talent pool: the AWS-certified engineer pool is larger globally, which affects hiring timelines for fast-growing teams. Fourth, stack fit: if your databases, queues, and networking are already in one cloud, crossing clouds creates real data egress costs and operational complexity that compounds month over month.

Side-by-side comparison

When Azure Kubernetes Service is the right call

1. Your team runs .NET or Windows containers. AKS is the only major managed Kubernetes service where Windows node pools are first-class and well-tested. If you are containerizing a legacy ASP.NET Framework application or running mixed Linux and Windows workloads, the operational overhead on EKS is measurably higher. Microsoft validates Windows container scenarios aggressively because they carry strong internal reasons to; AWS does not have the same history or pressure here.
2. You already use Azure AD or Microsoft Entra ID for identity. Mapping existing Azure AD groups to Kubernetes RBAC in AKS takes about ten minutes with no additional identity provider setup. On EKS, you configure an OpenID Connect provider, set up IRSA, and manage the aws-auth ConfigMap. That is real engineering time per cluster, and it scales poorly when you run dozens of clusters across multiple environments. For a team enforcing Conditional Access through Entra ID, AKS removes the friction entirely.
3. You need hybrid Kubernetes under a single policy control plane. Azure Arc lets you manage AKS clusters, on-premises servers, and multi-cloud clusters from the Azure portal, applying Azure Policy uniformly across all of them. For regulated industries that run workloads on-premises alongside cloud workloads (hospitals, government contractors, financial institutions), Arc combined with AKS offers more mature tooling than EKS Anywhere as of 2026.

When AWS EKS is the right call

1. Your data plane is already in AWS. If your databases run on RDS or Aurora, your object storage is S3, and your networking is VPC-native, running Kubernetes on EKS keeps IAM, latency, and routing inside one environment. Adding AKS to an otherwise AWS architecture creates cross-cloud data egress costs and networking complexity that compounds over time. We have seen teams underestimate this cost by a factor of three during initial project planning.
2. You need production-ready serverless compute. EKS Fargate is a mature option for serverless Kubernetes pods. You pay per-vCPU and per-GB of memory per second with no node group management or autoscaler tuning required. For bursty, stateless workloads where you want minimal infrastructure overhead, Fargate on EKS is production-ready in ways that AKS Virtual Nodes are not yet. Know the constraints upfront: Fargate does not support DaemonSets, privileged containers, or GPU workloads.
3. You are scaling a team aggressively in a competitive hiring market. AWS-certified engineers outnumber Azure-certified engineers in most markets, and Kubernetes experience tilts toward AWS. If you plan to grow from five to thirty engineers over the next year, finding EKS-experienced candidates is faster. Platform choice affects hiring speed, and hiring speed affects delivery. This factor is underweighted in most technical AKS vs EKS comparisons.

What people get wrong about both

Wrong about AKS: it requires a Microsoft Enterprise Agreement. AKS works on pay-as-you-go Azure subscriptions with no minimum commitment. The free control plane makes AKS one of the least expensive options for running managed Kubernetes for small teams. The confusion comes from Microsoft's enterprise sales motion, which often routes new Azure adoption through EA deals. The product itself has no EA requirement.

Wrong about EKS: Fargate eliminates infrastructure management. Fargate removes EC2 node group management but introduces its own operational constraints. No DaemonSets. No privileged containers. No GPU support. Limited persistent volume options. Per-pod Elastic Network Interface limits that affect network-intensive workloads. Teams that move to Fargate expecting zero operations work discover they have traded one set of problems for another. Fargate is the right tool for stateless, CPU-predictable workloads, not a general escape from infrastructure responsibility.

Wrong about the comparison: Kubernetes portability means the managed service choice does not matter. YAML manifests are technically portable. In practice, within six months of a production deployment, your ingress controller, secrets store, monitoring exporters, and CI/CD pipeline all carry cloud-specific integrations. Migrating a mature EKS workload to AKS, or vice versa, takes months of real engineering effort. Treat the AKS vs EKS choice as a multi-year commitment to that cloud provider's networking and identity model.

What we use for our clients

At QServices, we have shipped production Kubernetes workloads on both platforms across healthcare, financial services, and insurance clients. Our recommendation follows the client's existing cloud footprint, not a platform preference.

For clients in regulated industries running on Azure, where Microsoft Defender for Cloud and Azure Policy already enforce compliance posture, we default to AKS. Policy enforcement centralizes in Azure, configuration drift is caught by Defender for Cloud, and the security posture baseline is already in place. For a healthcare client migrating legacy .NET services to containers, AKS removed roughly two weeks of Windows container troubleshooting compared to what the same team had encountered on a prior EKS project.

For clients whose engineering teams are AWS-native and who run RDS, CloudWatch, and VPC infrastructure in production, we recommend EKS. The cost of switching clouds mid-project is real. An AWS team placed on AKS spends the first month learning Azure networking and Entra ID instead of shipping features. See our Azure managed services practice for how we structure Azure-native Kubernetes engagements, and our platform comparison hub for related decisions.

How to test which one fits before committing

A 10-day technical spike is enough to make a confident decision. Produce these four concrete outputs:

1. Days 1 to 2: Deploy a minimal cluster on each platform. Run az aks create and eksctl create cluster with a two-node setup. Measure time to first running application pod. Note where the team got stuck and which documentation was needed.
2. Days 3 to 5: Deploy your actual application stack. Run your existing Helm charts or Kubernetes manifests against both clusters. Record which cloud-specific integrations broke: ingress controllers, secret stores, storage classes, and monitoring exporters. The integration friction list is your real decision input, not the theoretical comparison.
3. Days 6 to 8: Run a load benchmark. Use k6 or Locust to simulate realistic traffic. Compare p95 and p99 latency at your expected production load. Estimate monthly costs for both platforms at 2x and 10x current load. Consult the official AKS documentation and official EKS documentation for configuration defaults that affect cost calculations.
4. Days 9 to 10: Assess team capability honestly. Have each engineer rate confidence in the IAM model, monitoring tools, and networking concepts for each platform. The platform the team can operate confidently at 2 AM during an incident is usually the right one, even if the technical comparison points another way.

Which is cheaper at scale, AKS or EKS?

AKS is cheaper at small to medium scale because the control plane is free. At large scale with 20 or more clusters, the $0.10 per hour EKS control plane cost totals roughly $17,500 per year before any compute. Compute pricing between Azure and AWS is within 5 to 10 percent for equivalent instance sizes. The real cost gap at enterprise scale comes from observability: teams paying for Microsoft Defender for Cloud get AKS monitoring included, while equivalent EKS observability often requires third-party tools (Datadog, Dynatrace, or New Relic) that add $15,000 to $50,000 per year at scale. AKS wins on total cost of ownership for organizations already paying for the Microsoft security stack.