Managed Kubernetes comparison: EKS vs. GKE for multi-cloud fleets
When comparing Amazon EKS and Google Kubernetes Engine (GKE), GKE often provides a more automated, hands-off experience with its Autopilot mode and rapid release channels. EKS excels in hybrid cloud integrations and government cloud support. However, at fleet scale, organizations frequently use both, requiring an agentic control plane to enforce global cost governance and standardize Day-2 operations across multi-cloud environments.
Compare managed architectures: GKE excels in rapid automated updates and out-of-the-box service mesh integrations, while EKS offers deep hybrid cloud and AWS ecosystem alignment.
Master multi-cloud Day-2 operations: Moving beyond single-cluster provisioning, enterprises must standardize upgrades and cost policies across disparate EKS and GKE fleets.
Implement intent-based abstraction: Use an agentic control plane to abstract provider-specific complexities, allowing platforms to scale seamlessly across AWS and GCP without duplicating engineering toil.
This article explores and contrasts two of the most widely adopted hosted clusters: Amazon Elastic Container Service for Kubernetes (EKS) and Google Kubernetes Engine (GKE).
We will compare the tools by looking at ease of setup and management, compatibility with Kubernetes version releases, support for government cloud, hybrid cloud models, cost, and developer community adoption.
Overview of managed kubernetes solutions
A managed Kubernetes solution involves a third party, such as a cloud vendor, taking on some or full responsibility for the setup, configuration, support, and operations of the cluster. Google Kubernetes Engine (GKE) and Amazon Elastic Container Service for Kubernetes (EKS) are prime examples.
Managed Kubernetes solutions are useful for software teams that want to focus on the development, deployment, and optimization of their workloads. The process of managing and configuring clusters is complex, time-consuming, and requires proficient Kubernetes administration, especially for production environments.
The 1,000-cluster reality: standardizing multi-cloud fleets
Comparing EKS and GKE in isolation is a Day-1 exercise. In enterprise environments, the reality is that organizations often do not choose just one; they run both. Acquisitions, distinct technical requirements, and regional availability lead to a multi-cloud footprint.
When your fleet scales to hundreds or thousands of clusters spanning both AWS and GCP, the differences in how EKS and GKE handle autoscaling, permissions, and networking become major operational bottlenecks. A platform engineer updating a scaling policy on an EKS cluster cannot simply port that exact configuration over to a GKE cluster.
To manage multi-cloud fleets successfully, organizations must move beyond manual, provider-specific configuration. Managing Day-2 operations at scale requires an agentic control plane that centralizes intent-enforcing cost governance, standardizing deployments, and ensuring high availability across both EKS and GKE without duplicating engineering effort.
🚀 Real-world proof
E-commerce technology provider Nextools struggled with the massive operational overhead of managing complex multi-cloud deployments across both AWS and GCP for high-traffic Shopify applications.
Overview of GKE
Let’s look at the operational qualities that your organization should consider before choosing GKE as a hosted cluster solution.
Cluster configurations
GKE has two core cluster configuration options (modes): Standard and Autopilot.
Standard mode: This mode allows software teams to manage the underlying infrastructure (node configurations) of their clusters.
Autopilot mode: This mode offers software teams a hands-off experience. GKE manages the provisioning and optimization of the cluster and its node pools automatically.
Setup and configuration management
Cluster setup and configuration can be an arduous process. In a cloud environment, you must understand networking topologies since they form the backbone of cluster deployments. For teams looking for a solution with less operational overhead natively, GKE has built-in automated capabilities. This includes automated health checks and repairs on nodes, as well as automatic cluster and node upgrades for new version releases.
Service mesh integration
Software teams deploying microservice architectures quickly find out that basic Kubernetes service-level capabilities are insufficient for complex routing. Service meshes are dedicated infrastructure layers that address network and security issues at an application service level. GKE comes with Istio installed by default. Istio is an open-source service mesh implementation that helps organizations secure large and critical workloads.
Kubernetes versions and upgrades
In comparison to EKS, GKE offers a wider variety of release versions depending on the release channel you select (stable, regular, or rapid). The rapid channel includes the absolute latest versions of Kubernetes. GKE also has auto-upgrade capabilities for both clusters and nodes in Standard and Autopilot cluster modes.
No government cloud support
Google does not offer a dedicated government cloud solution like AWS for hosted clusters. Software solutions requiring the security posture, regulation, and stringency demanded by government agencies must be developed based on standard regional offerings.
Exclusive to cloud VMs
A majority of enterprises prefer a hybrid model over strictly public cloud strategies. However, GKE primarily offers cluster architecture models that consist of Virtual Machines (VMs) in a cloud environment. For organizations looking to strictly distribute workloads between on-premise data centers and the cloud, EKS provides more mature native tooling.
Conditional service level agreement (SLA)
When making use of a single zone cluster, GKE is an affordable solution, as there are no costs involved in managing the control plane. However, this solution type does not offer an SLA unless you opt for a regional cluster solution, which costs ten cents per hour for control plane management. EKS offers SLA coverage at 99.95 percent by default, whereas GKE offers 99.5 percent for its zonal clusters and 99.95 percent for its regional clusters.
CLI support
The GKE CLI is a sub-module of the official GCP CLI (gcloud). Once a user has installed gcloud and authenticated with gcloud init, they can perform lifecycle activities on their GKE clusters.
Pricing
GKE clusters can be launched either in Standard mode or Autopilot mode. Both modes have an hourly charge of ten cents per cluster after the free tier. From a pricing perspective, GKE differs from EKS because it has a free tier with monthly credits that, if applied to a single zonal cluster or Autopilot cluster, completely covers the operational costs involved in running the cluster.
Use cases
Based on the characteristics outlined above, GKE works particularly well in the following scenarios:
Minimal management overhead required.
High degree of operational automation.
Wide support of Kubernetes versions.
Out-the-box service mesh integration.
Managing 100+ K8s Clusters
From cluster sprawl to fleet harmony. Master the intent-based orchestration and predictive sizing required to build high-performing, AI-ready Kubernetes fleets.
Now let’s evaluate Amazon EKS and what factors you should consider before standardizing on AWS.
Cluster configurations
EKS has three cluster configuration options for launching your managed Kubernetes cluster.
Managed node groups: Automates the provision and lifecycle management of your EC2 worker nodes. AWS manages the running and updating of the EKS AMI on your nodes, applying labels to node resources, and draining nodes.
Self-managed worker nodes: Gives teams the most flexibility for configuring and managing nodes. You can launch Auto Scaling groups or individual EC2 instances and register them as worker nodes. This approach requires that all underlying nodes have the same instance type, AMI, and Amazon EKS node IAM role.
Serverless worker nodes with Fargate: AWS Fargate is a serverless engine that allows you to focus on optimizing container workloads while it takes care of the infrastructure provisioning.
EKS anywhere
Businesses recognize the cloud as a great enabler and use it in combination with on-premise data centers. Amazon EKS Anywhere enables businesses to deploy Kubernetes clusters on their own infrastructure (using VMware vSphere or bare metal) while still being supported by AWS automated cluster management. This deployment supports the hybrid cloud model, enabling operational consistency on-premises and in the cloud.
Integration with AWS ecosystem
EKS integrates tightly with other AWS services. If your business’s cloud strategy consists heavily of resources in the AWS landscape (like RDS, IAM, and CloudWatch), your Kubernetes workloads can be seamlessly integrated using EKS.
Developer community
EKS has the highest adoption and usage rate among Kubernetes managed cluster solutions. Because of the complex challenges that configuring Kubernetes entails, this community offers a knowledge base for troubleshooting common enterprise configurations.
Government cloud solution
AWS has a dedicated government cloud solution (GovCloud) that enables you to run sensitive workloads securely while meeting strict compliance requirements.
Setup and configuration management
Compared to GKE, operating EKS natively requires additional manual configuration. It requires deep proficiency from software teams to understand the underlying networking components (VPCs, subnets) of AWS. Furthermore, the installation of components like the Calico CNI, as well as upgrading the AWS VPC CNI, must be done manually. EKS also does not support automatic node health repair checks natively out of the box like GKE.
Kubernetes versions and upgrades
EKS supports three or more minor Kubernetes version releases, but version upgrades generally require more manual intervention. For software teams that want to stay on top of the latest features, the update lifecycle on EKS is traditionally slower than GKE.
CLI support
Similar to GKE, EKS has full CLI support in the form of a sub-module of the official AWS CLI. Updating the local Kube config file can be done with:
In addition, the team from Weaveworks produced an EKS CLI tool called eksctl, which is used to manage the lifecycle of EKS clusters via infrastructure-as-code.
Pricing
Amazon EKS charges ten cents per hour for the management of the control plane. Additional charges are incurred based on the standard prices for other AWS resources (e.g., EC2 instances for worker nodes). When Amazon EKS is run on AWS Fargate, the additional pricing is calculated based on the memory and vCPU usage of the underlying resources. Unlike GKE, AWS does not offer a limited free tier service for EKS.
Use cases
EKS works particularly well in the following scenarios:
Running workloads in a hybrid cloud model.
Deep integration with the broader AWS ecosystem.
Running workloads in a dedicated government cloud environment.
Conclusion
By design, managed Kubernetes solutions like EKS and GKE reduce the Day-1 operational overhead of provisioning a cluster. Each solution has structural pros and cons that organizations must weigh against their workload requirements.
However, software teams scaling to dozens or hundreds of clusters must consider how they will manage Day-2 operations. Operating multi-cloud fleets across both AWS and GCP manually creates severe fragmentation. Qovery acts as an agentic control plane, providing an abstraction layer that standardizes cluster management, enforces cost governance, and automates Day-2 operations-whether your underlying infrastructure runs on EKS, GKE, or both.
FAQs
What is the main difference in operational overhead between Amazon EKS and GKE?
GKE generally offers more out-of-the-box automation, such as automated node health repairs, automated cluster upgrades, and a fully hands-off Autopilot mode. Amazon EKS requires more manual configuration for networking (VPCs, CNIs) and version upgrades, but provides deeper integration into the AWS ecosystem and robust hybrid-cloud support via EKS Anywhere.
Which managed Kubernetes service is better for hybrid cloud and government compliance?
Amazon EKS is structurally better suited for these requirements. AWS offers a dedicated GovCloud environment for strict regulatory compliance, and EKS Anywhere allows enterprises to run Kubernetes on their own on-premises infrastructure (bare metal or VMware) while maintaining operational consistency with the cloud.
How do you manage day-2 operations across a multi-cloud fleet using both EKS and GKE?
Managing both EKS and GKE natively creates configuration drift and operational toil due to differing APIs and scaling mechanics. Enterprises manage multi-cloud fleets by deploying an agentic control plane that abstracts the cloud provider layer. This allows platform teams to enforce unified cost governance, security policies, and deployment standards globally without writing provider-specific YAML.
Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.
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