Managed Kubernetes: EKS vs AKS vs GKE vs OKE

Why Managed Kubernetes Matters

Running Kubernetes in production is hard. The control plane alone involves etcd cluster management, API server availability, scheduler tuning, and certificate rotation. Managed Kubernetes services handle all of that, letting your team focus on deploying and operating workloads rather than babysitting infrastructure. But the four major managed Kubernetes offerings — Amazon EKS, Azure AKS, Google GKE, and Oracle OKE — differ significantly in pricing, default configurations, networking models, autoscaling behavior, and operational experience. Choosing the wrong one can cost you thousands of dollars per month and hundreds of engineering hours in workarounds.

This article is a hands-on comparison based on running production clusters on all four platforms. We cover the decisions that actually matter: how much the control plane costs, how networking works by default, how node autoscaling behaves under pressure, what the upgrade experience looks like, and where each service creates unexpected operational overhead. If you are evaluating managed Kubernetes or considering a migration, this is the practical guide you need.

Control Plane Pricing

The first surprise for many teams is that EKS charges for the control plane itself. As of early 2026, each EKS cluster costs $0.10 per hour, which is $73 per month per cluster. This adds up quickly in organizations that run separate clusters for development, staging, and production across multiple regions. Ten clusters cost $730 per month before a single pod runs.

AKS does not charge for the control plane in its free tier. You get a financially free Kubernetes API server with a 99.5% SLA. The paid Standard tier at $0.10 per hour adds a 99.95% SLA with uptime guarantees and financial credits for downtime. The Premium tier adds long-term support and higher API server capacity. For most workloads, the free tier is perfectly adequate, making AKS the cheapest option for the control plane.

GKE charges $0.10 per hour for Standard mode clusters, matching EKS. However, GKE Autopilot clusters also charge $0.10 per hour for the control plane but eliminate node management entirely — you pay only for the pods you run. One free zonal cluster per billing account is available, which is useful for development. GKE Enterprise, the premium tier, adds multi-cluster management, service mesh, and policy enforcement at $0.10 per vCPU per hour for workloads.

OKE stands out by offering a completely free control plane with no time limit and no tier restrictions. You pay only for the worker node compute and associated resources like block volumes and load balancers. For cost-sensitive organizations or those running many clusters, this is a significant advantage. Running ten OKE clusters costs $0 for control planes versus $730 per month on EKS or GKE Standard.

Networking Models

Networking is where managed Kubernetes services diverge most dramatically, and where the wrong choice creates the most pain. EKS defaults to the Amazon VPC CNI plugin, which assigns each pod a real VPC IP address from your subnet. The advantage is that pods are directly routable from anywhere in the VPC without overlay networking. The disadvantage is IP address exhaustion: each EC2 instance can only support a limited number of ENIs and IP addresses, and large clusters can consume thousands of IPs. You must plan your VPC CIDR blocks carefully. EKS also supports prefix delegation mode to increase pod density per node, and alternative CNI plugins like Cilium or Calico for different networking models.

AKS offers two primary networking modes. Azure CNI assigns VNet IP addresses to pods, similar to EKS VPC CNI, with the same IP exhaustion considerations. Azure CNI Overlay uses an overlay network that gives pods IP addresses from a separate CIDR range, reducing VNet IP consumption. The newer Azure CNI Powered by Cilium option combines Azure CNI with Cilium's eBPF-based data plane for better performance and network policy enforcement. For most new AKS clusters, Azure CNI Overlay with Cilium is the recommended choice.

GKE uses a VPC-native networking model by default where pods get IP addresses from secondary ranges on the subnet. This is similar to EKS VPC CNI but uses alias IP ranges rather than ENIs, which allows higher pod density per node. GKE also supports Dataplane V2, built on Cilium, which provides eBPF-based networking with built-in network policy enforcement and better observability. GKE's networking is generally the most mature and requires the least manual configuration.

OKE uses the OCI VCN-native pod networking plugin, which assigns VCN IP addresses to pods through virtual network interface cards (VNICs). The model is conceptually similar to EKS VPC CNI. OKE also supports flannel overlay networking as an alternative. A key advantage of OKE networking is that OCI does not charge for cross-availability-domain traffic within a region, unlike AWS which charges for cross-AZ traffic. For clusters spread across multiple availability domains, this can save substantial money on data transfer.

Node Autoscaling

All four services support the Kubernetes Cluster Autoscaler, but the implementations and alternatives differ. EKS uses the standard Cluster Autoscaler or the newer Karpenter project. Karpenter, originally developed by AWS, provisions nodes directly through EC2 APIs rather than relying on Auto Scaling Groups. This results in faster scaling (typically 30-60 seconds to provision a new node), better bin-packing, and the ability to select from a diverse set of instance types automatically. Karpenter has become the recommended autoscaler for EKS and is increasingly being adopted on other platforms.

AKS has its own node autoscaler integrated into the service, which works with Virtual Machine Scale Sets. AKS also supports KEDA (Kubernetes Event-Driven Autoscaling) as a managed add-on for event-driven pod scaling. The AKS autoscaler is reliable but generally slower than Karpenter, taking 2-5 minutes to provision new nodes. AKS Node Autoprovision, now generally available, brings Karpenter-like capabilities to AKS, automatically selecting VM sizes and managing node pools.

GKE Autopilot eliminates node management entirely. You define pod resource requests, and GKE provisions and manages nodes automatically. There are no node pools to configure, no instance types to choose, and no autoscaler to tune. For GKE Standard clusters, the Cluster Autoscaler works well and supports node auto-provisioning, which creates new node pools with appropriate machine types as needed. GKE's autoscaling is generally the most seamless, especially in Autopilot mode.

OKE supports the standard Cluster Autoscaler with node pools backed by instance pools. The autoscaler works reliably but is more basic than Karpenter or GKE Autopilot. OKE also supports virtual nodes powered by OCI Container Instances, which provide serverless pod execution similar to AWS Fargate on EKS. Virtual nodes can scale faster than traditional node provisioning because there is no VM to boot.

Upgrade Experience

Kubernetes releases a new minor version roughly every four months, and keeping clusters up to date is essential for security patches and feature access. The upgrade experience varies significantly across providers.

EKS supports in-place control plane upgrades that typically complete in 20-30 minutes with no downtime for running workloads. However, you must upgrade node groups separately, which can be done through managed node group rolling updates or by migrating workloads to new node groups. EKS supports three Kubernetes versions at any given time and provides extended support for older versions at an additional cost of $0.60 per cluster per hour.

AKS performs control plane and node pool upgrades separately. The control plane upgrade is automatic and takes 10-15 minutes. Node pool upgrades use a surge upgrade mechanism that creates new nodes, cordons old nodes, drains workloads, and removes old nodes. AKS has an auto-upgrade feature that can automatically apply patch versions or even minor version upgrades, which reduces operational burden. AKS supports the current version plus two previous minor versions.

GKE offers the smoothest upgrade experience. In Autopilot mode, upgrades are fully automated with no user intervention required. GKE handles both control plane and node upgrades using maintenance windows you define. GKE supports release channels (Rapid, Regular, Stable) that automatically enroll clusters in appropriate upgrade cadences. The surge upgrade mechanism minimizes workload disruption, and GKE typically supports the widest range of Kubernetes versions.

OKE handles control plane upgrades automatically and provides a straightforward node pool upgrade process. You select the target Kubernetes version, and OKE performs a rolling replacement of nodes in the pool. OKE generally supports three to four Kubernetes versions and provides clear documentation on version lifecycles. The upgrade process is reliable but lacks the automation sophistication of GKE release channels.

Add-ons and Ecosystem

Each managed Kubernetes service provides a different set of managed add-ons that reduce the operational burden of running common cluster components. EKS offers managed add-ons for CoreDNS, kube-proxy, the VPC CNI plugin, the EBS CSI driver, and the EFS CSI driver. Additional functionality like ingress controllers, service meshes, and monitoring agents must be installed separately, though EKS Blueprints and EKS add-ons marketplace simplify this process.

AKS has a richer set of managed add-ons including Azure Monitor integration, Azure Policy, KEDA, Dapr, Azure Key Vault Secrets Provider, and web application routing (ingress). AKS also integrates with Azure Service Mesh (based on Istio) as a managed add-on, reducing the complexity of running a service mesh. The Azure Workload Identity add-on provides secure pod-to-Azure-service authentication.

GKE provides the most comprehensive add-on ecosystem. Config Sync enables GitOps-based configuration management. GKE Dataplane V2 includes built-in network policy enforcement. Cloud Service Mesh provides managed Istio. GKE Gateway API support is the most mature of any provider. Binary Authorization enforces deployment policies. And the integration with Google Cloud Monitoring and Logging is seamless with no agent installation required.

OKE integrates with OCI service mesh, the OCI Logging service, and the OCI Monitoring service. The add-on ecosystem is smaller than the other three providers, but the core integrations work well. OKE's tight integration with OCI Container Registry, OCI Vault for secrets, and OCI Identity for workload authentication covers the essential needs for most deployments.

Security and Identity

Secure pod-to-cloud-service authentication is critical in Kubernetes. All four services have moved toward workload identity federation, eliminating the need for long-lived credentials stored in secrets. EKS uses IAM Roles for Service Accounts (IRSA) or the newer EKS Pod Identity, which simplifies the setup by eliminating the need for an OIDC provider per cluster. AKS uses Azure Workload Identity, which maps Kubernetes service accounts to Azure AD identities. GKE Workload Identity is the most mature implementation, mapping Kubernetes service accounts to Google Cloud service accounts with minimal configuration. OKE uses OCI Workload Identity to authenticate pods to OCI services.

For network policies, GKE and AKS with Cilium provide the most robust enforcement. EKS requires installing a network policy engine like Calico or Cilium separately unless using VPC CNI network policy, which is now supported natively. OKE supports Calico network policies through a managed installation.

Secrets management integration also varies. EKS integrates with AWS Secrets Manager through the Secrets Store CSI Driver. AKS has a native add-on for Azure Key Vault integration. GKE integrates with Secret Manager through the Secrets Store CSI Driver or the newer Config Controller. OKE integrates with OCI Vault. In all cases, the pattern is similar: secrets are stored in the cloud provider's secrets service and synced into Kubernetes secrets or mounted as files in pods.

Observability and Debugging

Debugging issues in Kubernetes requires good observability. GKE provides the best out-of-the-box experience with automatic integration into Google Cloud Monitoring and Logging. System and workload logs, metrics, and events are collected without installing any agents. The GKE dashboard in the Google Cloud Console provides cluster-level health, node status, workload metrics, and cost breakdowns.

AKS integrates with Azure Monitor Container Insights, which provides similar functionality including node and pod metrics, container logs, and live data streaming. The integration requires enabling the monitoring add-on but is straightforward. Azure Monitor workbooks provide pre-built dashboards for common Kubernetes troubleshooting scenarios.

EKS requires more manual setup for observability. You can use Amazon CloudWatch Container Insights with the CloudWatch agent, or AWS Distro for OpenTelemetry, or third-party tools. EKS control plane logging must be enabled explicitly for each log type (API server, authenticator, controller manager, scheduler, audit). The setup is functional but requires more configuration than GKE or AKS.

OKE integrates with the OCI Logging and Monitoring services. The OCI Kubernetes Monitoring Solution provides dashboards and alerts for cluster health. Like EKS, OKE requires some configuration to get full observability, but the integration with OCI native tools is solid once set up.

Making the Decision

Choose GKE if Kubernetes is your primary compute platform and you want the most polished, feature-complete managed experience. GKE Autopilot eliminates node management entirely, the upgrade experience is the smoothest, and the observability integration is the best. GKE is particularly strong for teams that want to focus on application development rather than cluster operations.

Choose EKS if your organization is primarily on AWS and you want deep integration with AWS services. Karpenter gives EKS the best autoscaling experience, and the AWS ecosystem of tools and third-party integrations is the largest. Be prepared for higher operational overhead compared to GKE, especially around networking and observability setup.

Choose AKS if your organization uses Azure and Microsoft technologies. The free control plane makes it the cheapest option for running many clusters. Azure CNI Overlay with Cilium provides excellent networking, and the managed add-on ecosystem is comprehensive. AKS is also the best choice for Windows container workloads.

Choose OKE if cost is your primary concern or if you are already on OCI. The free control plane, free cross-availability-domain networking, and competitive compute pricing make OKE the most cost-effective option. The trade-off is a smaller ecosystem of managed add-ons and community resources compared to the other three providers.