☸️ Kubernetes on Azure vs AWS vs GCP — A Feature-by-Feature Comparison (2025)
Kubernetes has become the de facto standard for container orchestration, and all major cloud providers — Azure, AWS, and GCP — offer a managed Kubernetes service. But not all are created equal.
So, if you’re building cloud-native applications or scaling container workloads, how do you decide between:
- AKS (Azure Kubernetes Service)
- EKS (Elastic Kubernetes Service)
- GKE (Google Kubernetes Engine)?
This blog will break it down — from essential setup to advanced integrations.
🧱 1. Overview: What Are These Services?
| Cloud | Managed Service | First Launched | Backed By |
|---|---|---|---|
| Azure | AKS | 2018 | Microsoft |
| AWS | EKS | 2017 | Amazon |
| GCP | GKE | 2015 | Google (creator of K8s) |
Google created Kubernetes, but all three providers now offer production-grade managed clusters with varying levels of abstraction, automation, and integrations.
🚀 2. Cluster Creation & Setup
| Feature | AKS | EKS | GKE |
|---|---|---|---|
| CLI Support | az aks | eksctl, AWS CLI | gcloud container |
| Ease of Setup | ✅ Very Easy (via Azure Portal or CLI) | Moderate (needs VPC, IAM config) | ✅ Easiest & most automated |
| Auto Networking | Handles it automatically | Must configure VPCs manually | ✅ Fully managed |
| Terraform Modules | Available | Available | Available |
Winner: GKE
GKE has the most automated and beginner-friendly setup.
⚙️ 3. Control Plane Management
| Feature | AKS | EKS | GKE |
|---|---|---|---|
| Control Plane Pricing | Free | $0.10/hour | Free (standard) |
| Control Plane Uptime SLA | 99.95% | 99.95% | 99.95% |
| Auto-upgrades | Yes | Optional | ✅ Yes, with channels (stable, rapid) |
| HA Control Plane | ✅ Regional support | ✅ Multi-AZ | ✅ Regional + Zonal clusters |
Winner: Tie between GKE and AKS
📦 4. Node Management & Scaling
| Feature | AKS | EKS | GKE |
|---|---|---|---|
| Node Pools | ✅ Supported | ✅ Supported | ✅ Supported |
| OS Support | Linux, Windows | Linux, Bottlerocket, Windows | Linux, Windows |
| Auto-Repair | Optional | Optional | ✅ Built-in |
| Auto-Scaling | ✅ Yes (Cluster Autoscaler) | ✅ Yes | ✅ Best-in-class |
| Serverless Option | Virtual Node (ACI) | Fargate | Autopilot (fully managed nodes) |
Winner: GKE Autopilot
For fully serverless Kubernetes, GKE Autopilot is the most advanced.
🔐 5. Security & Identity
| Feature | AKS | EKS | GKE |
|---|---|---|---|
| RBAC | Yes | Yes | Yes |
| Azure AD / IAM Integration | ✅ Native with Azure AD | ✅ IAM Roles for Service Accounts (IRSA) | ✅ GCP IAM native integration |
| Secrets Management | Azure Key Vault | AWS Secrets Manager | GCP Secret Manager |
| Pod Security | Azure Policy + OPA | OPA + IAM | ✅ PSPs + GKE Workload Identity |
| Network Policies | Calico | Calico, CNI plugin | ✅ Built-in, enforced by default |
Winner: GKE
Best-in-class Workload Identity and default policy enforcement.
📈 6. Observability & Monitoring
| Feature | AKS | EKS | GKE |
|---|---|---|---|
| Logs | Azure Monitor | CloudWatch | ✅ Cloud Logging |
| Metrics | Container Insights | CloudWatch + Prometheus | ✅ Cloud Monitoring + Prometheus |
| Integrated Dashboard | Azure Portal | Console + Grafana | ✅ Cloud Console with real-time metrics |
| OpenTelemetry Support | Yes | Yes | ✅ Native GCP support |
Winner: GKE
GKE’s console-level observability is unmatched out-of-the-box.
💲 7. Pricing & Cost Optimization
| Feature | AKS | EKS | GKE |
|---|---|---|---|
| Control Plane Cost | Free | $0.10/hr (~$72/month) | Free (Standard) |
| Spot Instances | Yes | Yes | Yes |
| Serverless Option | ACI integration (limited) | Fargate ($$) | Autopilot (pay-per-pod) |
| Autoscaling | Yes | Yes | ✅ Aggressive and customizable |
Winner: AKS for free control plane, GKE for long-term cost-efficiency with Autopilot
🧠 8. Advanced Capabilities
| Capability | AKS | EKS | GKE |
|---|---|---|---|
| GPU Support | Yes | Yes | ✅ Yes + node auto-provisioning |
| Custom CRDs & Operators | Yes | Yes | Yes |
| Service Mesh | Open Service Mesh (OSM) | App Mesh / Istio | ✅ Istio (Anthos), Native Mesh |
| Multi-Cluster Support | Azure Arc | EKS Anywhere, EKS-A | ✅ GKE Hub, Anthos |
| AI/ML Integration | Azure ML, ONNX | SageMaker integration | ✅ Vertex AI, TFX, Kubeflow |
Winner: GKE (for built-in ML support + multi-cluster Anthos)
✅ Final Verdict: When to Choose What?
| Use Case | Best Choice |
|---|---|
| You’re deep in Azure | AKS — tightest AD integration & free control plane |
| You already use AWS workloads | EKS — good flexibility, integrates with AWS IAM |
| You want the most mature K8s with AI & GitOps support | GKE — best observability, Autopilot, ML/AI features |
| You want serverless pods without managing nodes | GKE Autopilot |
| You prefer opinionated, integrated setup | GKE (Google built K8s, after all) |
🚀 TL;DR: Cloud Kubernetes Comparison
| Feature | AKS | EKS | GKE |
|---|---|---|---|
| Ease of Setup | ✅✅ | ✅ | ✅✅✅ |
| Cost | ✅✅✅ | ✅ | ✅✅ |
| Serverless Nodes | ACI (limited) | Fargate (costly) | ✅ Autopilot |
| Monitoring | ✅ | ✅ | ✅✅✅ |
| Security | ✅ | ✅ | ✅✅✅ |
| AI/ML Support | ✅ | ✅ | ✅✅✅ |
| Multi-cluster | ✅ | ✅ | ✅✅✅ |
| Learning Curve | ✅✅✅ (Beginner friendly) | ✅✅ (Intermediate) | ✅✅✅ (Friendly + Advanced) |
🧠 Final Thoughts
All three services are Kubernetes-compliant, scalable, and production-ready.
But:
- GKE is best if you want full automation, advanced features, and AI-friendly workloads.
- AKS wins on pricing and is ideal for enterprise Windows/.NET shops.
- EKS offers flexibility and performance in AWS-native architectures.
Choose based on your cloud ecosystem, budget, and ops maturity — and wherever you go, Kubernetes will be there to scale with you.
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