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Comparison: Managed Kubernetes

Category: Orchestration Last meaningful update consideration: 2026-03 Verdict (opinionated): GKE for best Kubernetes experience and features. EKS if you are an AWS shop and need the ecosystem integration. AKS if Azure-committed. Self-hosted only if you have regulatory requirements that demand it.

Quick Decision Matrix

Factor EKS GKE AKS Self-hosted (kubeadm/k3s)
Learning curve Medium Low-Medium Medium Very High
Operational overhead Medium Low Medium Very High
Cost at small scale $73/mo control plane + nodes Free tier (Autopilot) Free control plane + nodes Hardware/VM + your time
Cost at large scale Moderate Moderate Moderate Low (but ops cost is hidden)
Community/ecosystem Massive (AWS) Strong (GCP) Growing (Azure) Pure upstream
Hiring Easy — AWS is everywhere Moderate — GCP is smaller Moderate — enterprise shops Niche — true K8s experts
Upgrade experience Manual, stressful Automatic, smooth Semi-automatic Terrifying
Networking VPC CNI (pod IPs = VPC IPs) GKE networking (Dataplane V2) Azure CNI / kubenet Whatever you configure
IAM integration IAM Roles for Service Accounts Workload Identity Azure AD / Workload Identity DIY (OIDC federation)
Node management Managed node groups, Karpenter Autopilot or node pools Node pools, VMSS You manage everything
Multi-cluster Basic (EKS Anywhere) Anthos (powerful, pricey) Azure Arc Federation (hard)
GPU/ML workloads Good (p5, inf2 instances) Excellent (TPU native) Good (NC-series) Full control

When to Pick Each

Pick EKS when:

  • Your organization is AWS-first and most infrastructure is already there
  • You need deep integration with AWS services (ALB, RDS, ElastiCache, etc.)
  • You want Karpenter for intelligent, cost-efficient node provisioning
  • Your team already knows AWS IAM, VPC, and the broader ecosystem
  • You need the largest third-party integration ecosystem

Pick GKE when:

  • You want the smoothest managed K8s experience with the least operational burden
  • Autopilot mode is appealing — Google manages nodes entirely
  • You need advanced networking (Dataplane V2 / Cilium-based)
  • Multi-cluster management with Anthos is on your roadmap
  • You are doing ML/AI workloads and want TPU access
  • Cluster upgrades should be painless

Pick AKS when:

  • Your organization is Azure-committed (Enterprise Agreement, Microsoft stack)
  • You need Azure AD integration for RBAC
  • Your developers are in the .NET / Microsoft ecosystem
  • Azure Arc for hybrid scenarios is relevant
  • Free control plane makes it cheapest for many small clusters

Pick Self-hosted when:

  • Regulatory requirements prohibit managed cloud (air-gapped, sovereign cloud)
  • You need full control over every component (etcd, API server flags, admission chain)
  • You are running on bare metal or edge locations
  • You have a dedicated platform team with deep K8s internals expertise
  • Cost savings at extreme scale justify the operational investment

Nobody Tells You

EKS

  • EKS is always 2-3 Kubernetes versions behind upstream. You will wait months for the latest features.
  • The VPC CNI means every pod gets a VPC IP. This sounds great until you run out of IPs in your subnet. Plan CIDR ranges carefully or you hit a wall that requires cluster recreation.
  • EKS upgrades are manual and require updating the control plane, then node groups, then add-ons — in order. Each step can fail independently. Budget a full day per cluster.
  • The AWS Load Balancer Controller is practically required but is a separate install, not built-in. Same for EBS CSI driver, VPC CNI plugin — you manage these add-ons.
  • aws-auth ConfigMap for RBAC was a nightmare. EKS access entries are better but migration from the old system is manual.
  • Fargate on EKS sounds great but has severe limitations: no DaemonSets, no privileged containers, no persistent volumes, no GPUs.

GKE

  • Autopilot restricts what you can run. No privileged containers, no host networking, no specific node selection. If you need any of these, use Standard mode.
  • GKE release channels are opinionated. The Rapid channel is too fast for production, Regular is solid, Stable is very conservative.
  • GKE's networking is best-in-class but also most opinionated. Migrating from GKE to another provider means re-learning networking from scratch.
  • Google has a history of killing products. GKE is safe (it is a cash cow), but ancillary GCP services around it churn faster than AWS equivalents.
  • Workload Identity setup is cleaner than EKS IRSA but the initial configuration has confusing IAM binding steps.
  • Costs sneak up: GKE Autopilot pods are billed at request level (not limits), and if your requests are padded, you pay more than expected.

AKS

  • AKS had a rough start and earned a reputation for instability. It has improved dramatically since 2023, but the stigma lingers in hiring conversations.
  • Azure CNI Overlay vs Azure CNI vs kubenet — the networking options are confusing and you must choose at cluster creation. Wrong choice means rebuilding.
  • AKS upgrades can be slow. Node image upgrades and K8s version upgrades are separate operations with separate timelines.
  • Azure AD integration for RBAC is powerful but complex. The intersection of Azure RBAC, K8s RBAC, and Azure AD groups creates a three-dimensional authorization puzzle.
  • Azure's region availability is uneven. Some regions lack the latest VM SKUs, which affects node pool choices.

Self-hosted

  • "We'll save money" is almost always wrong. The operational cost of running your own control plane exceeds managed service fees unless you have 50+ clusters.
  • etcd operations (backup, restore, compaction, defragmentation) become your problem. etcd corruption = total cluster loss.
  • Certificate rotation is your problem. Miss a renewal and the API server goes down hard.
  • Security patching the control plane is your problem. CVEs in kube-apiserver do not patch themselves.
  • You lose cloud-native load balancer integration, IAM integration, and managed node lifecycles. Every convenience you took for granted becomes a project.

Migration Pain Assessment

From → To Effort Risk Timeline
EKS → GKE High Medium 3-6 months
GKE → EKS High Medium 3-6 months
AKS → EKS High Medium 3-6 months
Self-hosted → any managed Medium Low 2-4 months
Any managed → self-hosted Very High High 4-8 months
EKS → AKS High Medium 3-6 months

Cross-cloud K8s migration is "portable in theory, painful in practice." Workload manifests transfer easily. Everything else — IAM bindings, load balancer annotations, storage classes, DNS integration, CI/CD pipelines — is cloud-specific and must be rewritten.

The Interview Answer

"Managed Kubernetes is almost always the right choice — the operational cost of self-hosted control planes only makes sense at massive scale or under regulatory constraints. Among managed offerings, I'd pick GKE for pure Kubernetes experience and EKS for AWS-native integration. The real migration cost between providers isn't the workloads — it's the cloud-specific glue: IAM, networking, storage, and CI/CD. That's why choosing a managed K8s provider is really choosing a cloud provider."

Cross-References