EKS / AKS / GKE:

 

EKS / AKS / GKE: Managed Kubernetes Services Comparison

📅 Published: September 2026
⏱️ Estimated Reading Time: 18 minutes
🏷️ Tags: Kubernetes, EKS, AKS, GKE, Managed Kubernetes, Cloud, DevOps

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Introduction: What are Managed Kubernetes Services?

Managed Kubernetes services are cloud-provider offerings that handle the Kubernetes control plane, freeing you from managing master nodes, etcd clusters, and other control plane components. You focus on deploying and managing your applications while the cloud provider manages the underlying cluster infrastructure.

The three major managed Kubernetes services:

Service	Provider	Key Differentiator
Amazon EKS	AWS	Deep AWS integration, mature ecosystem
Azure AKS	Microsoft Azure	Strong Azure/Windows integration
Google GKE	Google Cloud	Best Kubernetes experience, innovation pace

Why use managed Kubernetes:

• No control plane management: Master nodes, etcd, and API server are managed for you

• Automatic upgrades: Security patches are applied automatically

• Integrated with cloud services: IAM, networking, storage, and monitoring are built-in

• Cost-effective: Pay only for worker nodes (control plane is free or low-cost)

• Scalable: Easily scale clusters up and down

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Part 1: Service Comparison Matrix

Feature Comparison

Feature	Amazon EKS	Azure AKS	Google GKE
Release Date	2018	2018	2015
Control Plane SLA	99.95%	99.95%	99.95%
Control Plane Cost	$0.10/hour (per cluster)	Free	$0.10/hour (per cluster)
Worker Nodes	EC2	VMs	Compute Engine
Windows Support	Yes	Yes	No
GPU Nodes	Yes	Yes	Yes
Spot/Preemptible	Spot Instances	Spot VMs	Preemptible VMs
Private Cluster	Yes	Yes	Yes
Managed Add-ons	CoreDNS, kube-proxy, VPC CNI	CoreDNS, kube-proxy, Azure CNI	CoreDNS, kube-proxy, GCP CNI
Integrated Monitoring	CloudWatch Container Insights	Azure Monitor	GKE Monitoring
Integrated Logging	CloudWatch Logs	Azure Log Analytics	Cloud Logging
Service Mesh	App Mesh, Istio	Istio, Linkerd	Anthos Service Mesh
GitOps	Flux, Argo CD	Flux, Argo CD	Config Sync, Argo CD
Serverless Option	Fargate	AKS with Virtual Nodes	Autopilot

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Part 2: Amazon EKS (Elastic Kubernetes Service)

Overview

Amazon EKS is AWS's managed Kubernetes service. It integrates deeply with AWS services and is the most mature managed Kubernetes offering.

Key Features

Integration with AWS Services:

• IAM for authentication

• VPC for networking

• EBS/EFS for persistent storage

• ELB/ALB for load balancing

• CloudWatch for monitoring

• AWS Secrets Manager for secrets

Node Options:

• Self-managed Nodes: EC2 instances you manage

• Managed Node Groups: AWS manages the nodes

• Fargate: Serverless compute for pods (no nodes to manage)

Kubernetes Versions:

• Supports multiple versions (1.24 - 1.28)

• Automatic updates available

• 14-month support window per version

Use Cases:

• Organizations already using AWS

• Teams needing deep AWS integration

• Applications requiring access to AWS services

Getting Started with EKS

bash

# Install eksctl
brew install eksctl  # macOS
curl --silent --location "https://github.com/weaveworks/eksctl/releases/latest/download/eksctl_$(uname -s)_amd64.tar.gz" | tar xz -C /tmp
sudo mv /tmp/eksctl /usr/local/bin

# Create a cluster
eksctl create cluster \
  --name my-cluster \
  --region us-west-2 \
  --nodegroup-name standard-workers \
  --node-type t3.medium \
  --nodes 3 \
  --nodes-min 1 \
  --nodes-max 10 \
  --managed

# Configure kubectl
aws eks update-kubeconfig --region us-west-2 --name my-cluster

# Check cluster
kubectl get nodes

EKS Pricing

Component	Cost
Control Plane	$0.10/hour ($73/month)
Worker Nodes	Standard EC2 pricing
Fargate	Per-vCPU and per-GB pricing
Data Transfer	Standard AWS data transfer rates
Support	AWS Support plan required for enterprise

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Part 3: Azure AKS (Azure Kubernetes Service)

Overview

Azure AKS is Microsoft's managed Kubernetes service. It offers strong integration with Azure services and is particularly good for Windows workloads.

Key Features

Azure Integration:

• Azure AD for authentication

• Virtual Networks for networking

• Azure Files/Managed Disks for storage

• Application Gateway/ILB for load balancing

• Azure Monitor for monitoring

• Key Vault for secrets

Node Options:

• Linux Nodes: Standard VMs

• Windows Nodes: Windows Server VMs

• Virtual Nodes: Serverless (Azure Container Instances)

• Node Autoscaler: Automatic scaling

Kubernetes Versions:

• Supports multiple versions

• Automatic updates available

• 12-month support window per version

Use Cases:

• Organizations already using Azure

• Windows applications

• Applications requiring Active Directory integration

Getting Started with AKS

bash

# Install Azure CLI
brew install azure-cli  # macOS
# or
curl -sL https://aka.ms/InstallAzureCLIDeb | sudo bash  # Linux

# Login
az login

# Create resource group
az group create --name myResourceGroup --location eastus

# Create AKS cluster
az aks create \
  --resource-group myResourceGroup \
  --name myAKSCluster \
  --node-count 3 \
  --enable-addons monitoring \
  --kubernetes-version 1.28

# Configure kubectl
az aks get-credentials --resource-group myResourceGroup --name myAKSCluster

# Check cluster
kubectl get nodes

AKS Pricing

Component	Cost
Control Plane	Free
Worker Nodes	Standard VM pricing
Virtual Nodes	Per-second billing (ACI)
Data Transfer	Standard Azure data transfer rates
Support	Azure Support plan recommended

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Part 4: Google GKE (Google Kubernetes Engine)

Overview

GKE is Google's managed Kubernetes service. It offers the best Kubernetes experience and is often the most innovative.

Key Features

Google Cloud Integration:

• Google IAM for authentication

• VPC for networking

• Persistent Disk for storage

• Cloud Load Balancing for load balancing

• Cloud Monitoring for monitoring

• Secret Manager for secrets

Node Options:

• Standard Mode: Traditional GKE with nodes

• Autopilot: Serverless mode (no node management)

• Anthos: Hybrid/multi-cloud management

Kubernetes Versions:

• Supports multiple versions

• Automatic updates available

• Rapid release channel for early adopters

Use Cases:

• Organizations already using Google Cloud

• Teams wanting the latest Kubernetes features

• Applications requiring big data/ML integration

Getting Started with GKE

bash

# Install Google Cloud SDK
brew install google-cloud-sdk  # macOS
# or
curl -sSL https://sdk.cloud.google.com | bash  # Linux

# Login
gcloud auth login

# Create cluster
gcloud container clusters create my-cluster \
  --region us-central1 \
  --node-locations us-central1-a,us-central1-b,us-central1-c \
  --num-nodes 3 \
  --machine-type n1-standard-2

# Configure kubectl
gcloud container clusters get-credentials my-cluster --region us-central1

# Check cluster
kubectl get nodes

GKE Pricing

Component	Cost
Control Plane	$0.10/hour ($73/month)
Worker Nodes	Standard VM pricing
Autopilot	Per-vCPU and per-GB pricing
Data Transfer	Standard GCP data transfer rates
Support	Google Support plan recommended

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Part 5: Detailed Comparison

Performance

Aspect	EKS	AKS	GKE
Control Plane Latency	Good	Good	Excellent
Node Startup Time	2-4 minutes	2-4 minutes	1-2 minutes
Scaling Speed	Moderate	Moderate	Fast
Network Performance	Good	Good	Excellent

Security

Aspect	EKS	AKS	GKE
Authentication	IAM + OIDC	Azure AD + OIDC	IAM + OIDC
RBAC	Yes	Yes	Yes
Network Policies	Calico (add-on)	Calico (add-on)	Built-in
Pod Security	Pod Security Admission	Pod Security Admission	Pod Security Admission
mTLS	Via service mesh	Via service mesh	Via service mesh
Secrets Encryption	KMS	Key Vault	Cloud KMS

Cost Optimization

Strategy	EKS	AKS	GKE
Spot/Preemptible	Spot Instances	Spot VMs	Preemptible VMs
Reserved Capacity	EC2 Savings Plans	Reserved Instances	Committed Use Discounts
Serverless	Fargate	Virtual Nodes	Autopilot
Auto Scaling	Yes	Yes	Yes

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Part 6: Choosing the Right Service

Decision Matrix

If you are...	Choose
Already using AWS	EKS
Already using Azure	AKS
Already using GCP	GKE
Multi-cloud	Any (with consistent management)
Windows-based workloads	EKS or AKS
Kubernetes experts	Any
Kubernetes beginners	GKE (simplest)
Cost-conscious	AKS (free control plane)
Performance-conscious	GKE
Working with big data/ML	GKE

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Part 7: EKS vs AKS vs GKE: Expert Perspective

Aspect	EKS	AKS	GKE
Ecosystem	Mature	Growing	Mature
Innovation	Steady	Steady	Fast
Community	Largest	Growing	Large
Documentation	Extensive	Good	Excellent
Training	AWS Training	Azure Learn	Google Cloud Skills

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Summary

Feature	EKS	AKS	GKE
Control Plane Cost	$0.10/hour	Free	$0.10/hour
Integration	AWS	Azure	GCP
Windows Support	Yes	Yes	No
Serverless Option	Fargate	Virtual Nodes	Autopilot
Performance	Good	Good	Excellent
Ease of Use	Moderate	Moderate	Excellent
Best For	AWS ecosystem	Azure ecosystem	GCP ecosystem

All three services are production-ready and widely adopted. The best choice depends on your cloud provider preference, team expertise, and specific requirements.

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Learn More

Practice EKS/AKS/GKE with hands-on exercises in our interactive labs:
https://devops.trainwithsky.com