GcpComparisonBeginner · 4 min read

GKE vs EKS vs AKS: Key Differences and When to Use Each

Google Kubernetes Engine (GKE), Amazon Elastic Kubernetes Service (EKS), and Azure Kubernetes Service (AKS) are managed Kubernetes platforms by Google Cloud, AWS, and Azure respectively. They simplify running Kubernetes clusters but differ in integration, pricing, and ease of use based on their cloud ecosystems.

⚖️

Quick Comparison

Here is a quick overview of the main features and differences between GKE, EKS, and AKS.

Feature	GKE (Google Cloud)	EKS (AWS)	AKS (Azure)
Ease of Setup	Simplest with Google Cloud Console and CLI	Moderate, requires AWS IAM setup	Simple with Azure Portal and CLI
Pricing Model	Cluster management free, pay for nodes	Cluster management charged, plus nodes	Cluster management free, pay for nodes
Integration	Best with Google Cloud services	Best with AWS services	Best with Azure services
Auto-scaling	Supports node and pod auto-scaling	Supports node and pod auto-scaling	Supports node and pod auto-scaling
Updates & Upgrades	Automatic and manual upgrades	Manual upgrades, some automation	Automatic and manual upgrades
Regional Availability	Global, strong multi-region support	Global, wide region coverage	Global, strong in Azure regions

⚖️

Key Differences

GKE is known for its deep integration with Google Cloud services like BigQuery and Cloud Storage, making it ideal if you already use Google Cloud. It offers the easiest cluster setup and automatic upgrades, reducing management overhead.

EKS integrates tightly with AWS services such as IAM for security and CloudWatch for monitoring. It charges for cluster management separately, which can increase costs. Setup is more complex due to AWS's security model but offers strong flexibility.

AKS provides seamless integration with Azure Active Directory and Azure DevOps. It offers free cluster management and easy setup through the Azure Portal. AKS is a good choice if your infrastructure is already on Azure and you want smooth identity and CI/CD integration.

⚖️

Code Comparison

Here is how you create a simple Kubernetes cluster using gcloud CLI for GKE.

bash

gcloud container clusters create my-gke-cluster \
  --zone us-central1-c \
  --num-nodes 3 \
  --enable-autoscaling --min-nodes=1 --max-nodes=5

Output

Creating cluster my-gke-cluster in us-central1-c... Cluster created.

↔️

EKS Equivalent

Here is how you create a similar Kubernetes cluster using eksctl CLI for EKS.

bash

eksctl create cluster \
  --name my-eks-cluster \
  --region us-west-2 \
  --nodes 3 \
  --nodes-min 1 \
  --nodes-max 5 \
  --managed

Output

[ℹ] eksctl version 0.111.0 [ℹ] using region us-west-2 [ℹ] nodegroup "ng-1" will use "ami-0c55b159cbfafe1f0" [AmazonLinux2/1.21] [ℹ] creating cluster "my-eks-cluster" in "us-west-2" region [ℹ] nodegroup "ng-1" will use instance types [t3.medium] [ℹ] created cluster "my-eks-cluster" [ℹ] created nodegroup "ng-1" [✔] cluster "my-eks-cluster" created

🎯

When to Use Which

Choose GKE when you want the easiest Kubernetes setup with automatic upgrades and you use Google Cloud services extensively.

Choose EKS when you need tight AWS integration, advanced security controls, and are comfortable managing AWS IAM and networking.

Choose AKS when you rely on Azure services, want free cluster management, and prefer easy identity integration with Azure Active Directory.

✅

Key Takeaways

GKE offers the easiest setup and best Google Cloud integration.

EKS provides strong AWS service integration but requires more setup effort.

AKS is ideal for Azure users needing seamless identity and DevOps integration.

All three support auto-scaling and global availability.

Pricing models differ mainly in cluster management fees and node costs.