Google Kubernetes Engine vs Amazon EKS
Compare Google Kubernetes Engine vs Amazon EKS for managed Kubernetes and cluster responsibilities. Review the deployment model, migration work and proposed acceptance checks.
Which option fits the workload?
Consider Google Kubernetes Engine when the team wants Kubernetes integrated with Google Cloud and its GKE operating modes. Consider Amazon EKS when the team wants Kubernetes integrated with AWS and the EKS ecosystem. Validate the required configuration and operating responsibilities before comparing costs.
Seven differences that change the shortlist
| Buying question | Google Kubernetes Engine | Amazon EKS |
|---|---|---|
| Provider | Google Cloud | AWS |
| Core interface | Kubernetes API | Kubernetes API |
| Cluster operations | GKE Standard or Autopilot choices | EKS with the chosen compute and operating arrangement |
| Workload identity | Google Cloud identity integration | AWS IAM integration for workloads |
| Container registry context | Google Artifact Registry integration | Amazon ECR integration |
| Network design | GKE networking inside Google Cloud | EKS networking inside AWS |
| Cost exercise | Cluster mode, compute, storage and network usage | Cluster configuration, compute, storage and network usage |
Four worked buying briefs
These are hypothetical scenarios with explicit assumptions. They do not establish equal capabilities, measured usability or a negotiated price.
| Requirement | Proposed exercise | Accept when |
|---|---|---|
| Application manifests | Deploy the application's representative manifests and dependencies. | Pods become ready and required integrations work. |
| Persistent data | Restart a stateful test workload using its configured volume. | The workload recovers its expected data. |
| Workload access | Call one cloud service using the intended workload identity. | The identity has only the required permissions. |
| Upgrade exercise | Rehearse a supported non-production cluster or workload upgrade. | The team documents downtime, rollback and remaining operational tasks. |
Application manifests
Can the team deploy the application's representative manifests and dependencies?
Google Kubernetes Engine: Using Google Kubernetes Engine, deploy the application's representative manifests and dependencies.
Amazon EKS: Using Amazon EKS, deploy the application's representative manifests and dependencies.
Pods become ready and required integrations work.
Persistent data
Can the team restart a stateful test workload using its configured volume?
Google Kubernetes Engine: Using Google Kubernetes Engine, restart a stateful test workload using its configured volume.
Amazon EKS: Using Amazon EKS, restart a stateful test workload using its configured volume.
The workload recovers its expected data.
Workload access
Can the team call one cloud service using the intended workload identity?
Google Kubernetes Engine: Using Google Kubernetes Engine, call one cloud service using the intended workload identity.
Amazon EKS: Using Amazon EKS, call one cloud service using the intended workload identity.
The identity has only the required permissions.
Upgrade exercise
Can the team rehearse a supported non-production cluster or workload upgrade?
Google Kubernetes Engine: Using Google Kubernetes Engine, rehearse a supported non-production cluster or workload upgrade.
Amazon EKS: Using Amazon EKS, rehearse a supported non-production cluster or workload upgrade.
The team documents downtime, rollback and remaining operational tasks.
Architecture and application fit
GKE and EKS both provide managed Kubernetes, but the Kubernetes API does not make cloud-specific storage, ingress, identity and network configuration portable without changes. Inventory these dependencies before comparing migration effort.
GKE has Standard and Autopilot operating choices. EKS also requires a deliberate compute and operations design. Compare the exact selected arrangement and document which node, upgrade, policy and capacity tasks remain with your team.
Google Kubernetes Engine product documentation ↗ · Amazon EKS product information ↗
Cost and migration planning
Use the same workload requests, replicas, storage and network assumptions for costing. Low cluster administration charges do not establish a low total bill if the workload consumes more compute or network resources.
A useful trial deploys the application's actual manifests, secrets, volumes and ingress rules. Test upgrades and failure recovery in a non-production environment before using a successful hello-world deployment as evidence of readiness.
Questions before you choose
When should I choose Google Kubernetes Engine over Amazon EKS?
Consider Google Kubernetes Engine when the team wants Kubernetes integrated with Google Cloud and its GKE operating modes. Consider Amazon EKS when the team wants Kubernetes integrated with AWS and the EKS ecosystem. Validate the required configuration and operating responsibilities before comparing costs.
What should we include in the cost comparison?
Use the same workload requests, replicas, storage and network assumptions for costing. Low cluster administration charges do not establish a low total bill if the workload consumes more compute or network resources.
What should we test before a production migration?
A useful trial deploys the application's actual manifests, secrets, volumes and ingress rules. Test upgrades and failure recovery in a non-production environment before using a successful hello-world deployment as evidence of readiness.
Turn the comparison into your own evaluation
Use the same criteria and priorities for both products, keep unknowns unassessed and record the plan and evidence behind your ratings.
Build a Google Kubernetes Engine vs Amazon EKS scorecard →Keep the assumptions with the figures
Use the date, billing cycle, units and limits with each example. Check current account terms before purchasing. Unverified prices and model costs stay unpriced.
Download the buying examples as JSON ↓Share the comparison
Use these examples when discussing the shortlist with your team.