kubeadm vs k3s vs EKS — Which Kubernetes Setup Is Right for You? (2026)

Every Kubernetes journey starts with the same question: how do I actually get a cluster?

The three most common answers are kubeadm (self-managed from scratch), k3s (lightweight distribution), and EKS (AWS managed service). They serve completely different use cases.

Here's the full comparison.

Quick Summary

kubeadm

kubeadm is the official Kubernetes tool for bootstrapping clusters. It installs Kubernetes components as system services and lets you build exactly the cluster you want.

How it works

# Install kubeadm, kubelet, kubectl on all nodes
apt-get install kubeadm kubelet kubectl
 
# Initialize the control plane
kubeadm init \
  --pod-network-cidr=10.244.0.0/16 \
  --control-plane-endpoint=my-loadbalancer:6443 \
  --upload-certs
 
# Copy kubeconfig
mkdir -p $HOME/.kube
cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
 
# Install a CNI plugin (required)
kubectl apply -f https://github.com/flannel-io/flannel/releases/latest/download/kube-flannel.yml
 
# Join worker nodes
kubeadm join my-loadbalancer:6443 --token <token> --discovery-token-ca-cert-hash sha256:<hash>

That's the core. But you're still responsible for:

• Load balancer in front of control plane (for HA)
• etcd backups
• Certificate rotation
• Node OS patching
• Control plane upgrades (kubeadm upgrade)
• Monitoring the control plane itself

When to use kubeadm

On-premises bare metal or VMs: If you're not on a cloud provider, kubeadm is your primary option for production-grade clusters. You have full control and can tune everything — networking, storage, security.

Learning Kubernetes internals: Setting up a cluster with kubeadm teaches you what every component does — API server, scheduler, controller manager, etcd. This knowledge is valuable for CKA certification and debugging production issues.

Air-gapped environments: Security-sensitive environments without internet access. You control every image, every component, every certificate.

Custom configurations: If you need specific etcd settings, non-standard networking, or integration with on-prem PKI, kubeadm gives you that freedom.

kubeadm's real cost

The hidden cost of kubeadm is operational time. Someone needs to:

• Rotate certificates every year (or configure auto-rotation)
• Run kubeadm upgrade carefully (one version at a time)
• Monitor etcd health and take backups
• Replace failed control plane nodes manually

At a company with a dedicated platform team, this is manageable. For a 2-person startup, it's a distraction from building product.

k3s

k3s is a lightweight Kubernetes distribution from Rancher (now SUSE). It packages the entire Kubernetes control plane into a single 70MB binary with embedded etcd, containerd, and Traefik.

How it works

# Install k3s on the first node (becomes server/control plane)
curl -sfL https://get.k3s.io | sh -
 
# Get the node token
cat /var/lib/rancher/k3s/server/node-token
 
# Join worker nodes
curl -sfL https://get.k3s.io | K3S_URL=https://server-ip:6443 K3S_TOKEN=<token> sh -
 
# That's it. kubectl is automatically configured.
kubectl get nodes

No separate etcd installation. No CNI plugin needed (Flannel built-in). No separate kubeconfig setup. k3s is running in 5 minutes.

What k3s removes from standard Kubernetes

• Alpha features
• In-tree cloud provider integrations (use external cloud providers instead)
• Legacy admission plugins
• Separate containerd install (bundled)

Everything else is standard Kubernetes — your YAML manifests work unchanged.

When to use k3s

Edge and IoT: k3s runs on Raspberry Pi (512MB RAM). It's designed for edge nodes that may have intermittent connectivity. Used by companies running Kubernetes on factory floors, retail stores, and remote sites.

Development and CI: k3s starts in 30 seconds. Many CI pipelines use k3s instead of kind or minikube for integration tests that need a more realistic cluster.

Single-node or small clusters: For a team of 5 that wants Kubernetes without the overhead of managing kubeadm, k3s is excellent. One command to install, automatic cert rotation, embedded database.

Bare metal on a budget: If you have a few servers and want Kubernetes without paying cloud management fees, k3s gives you a production-capable cluster with much less operational overhead than kubeadm.

k3s HA setup

# First server with embedded etcd
curl -sfL https://get.k3s.io | K3S_TOKEN=SECRET sh -s - server \
  --cluster-init \
  --tls-san my-loadbalancer-ip
 
# Additional servers join the cluster
curl -sfL https://get.k3s.io | K3S_TOKEN=SECRET sh -s - server \
  --server https://first-server:6443 \
  --tls-san my-loadbalancer-ip

Three control plane nodes with embedded etcd — HA cluster in minutes.

EKS (Amazon Elastic Kubernetes Service)

EKS is AWS's managed Kubernetes service. AWS runs the control plane — API server, etcd, scheduler — you only manage worker nodes (or use Fargate to skip that too).

How it works

# Using eksctl (recommended)
eksctl create cluster \
  --name my-cluster \
  --region us-east-1 \
  --nodegroup-name workers \
  --node-type t3.medium \
  --nodes 3 \
  --nodes-min 1 \
  --nodes-max 5 \
  --managed
 
# Or using Terraform (production pattern)
module "eks" {
  source  = "terraform-aws-modules/eks/aws"
  version = "~> 20.0"
 
  cluster_name    = "my-cluster"
  cluster_version = "1.31"
 
  vpc_id     = module.vpc.vpc_id
  subnet_ids = module.vpc.private_subnets
 
  eks_managed_node_groups = {
    workers = {
      instance_types = ["t3.medium"]
      min_size       = 2
      max_size       = 10
      desired_size   = 3
    }
  }
}

What AWS manages for you

• Control plane (API server, etcd, scheduler, controller manager)
• Control plane HA across 3 AZs automatically
• Kubernetes version upgrades (one-click)
• etcd backups
• Control plane security patching
• Control plane monitoring

What you still manage

• Worker nodes (unless using Fargate)
• Worker node OS patching (use Karpenter or managed node groups with auto-update)
• Kubernetes add-ons (CoreDNS, kube-proxy, VPC CNI — managed add-ons available)
• Application-level monitoring
• IAM roles and RBAC

EKS-specific features

IRSA (IAM Roles for Service Accounts): Kubernetes pods can assume AWS IAM roles directly. No need for node-level instance profiles or secrets.

serviceAccount:
  annotations:
    eks.amazonaws.com/role-arn: arn:aws:iam::123456789:role/my-app-role

Karpenter: AWS's node autoscaler that replaces Cluster Autoscaler. Provisions right-sized nodes in seconds based on pending pod requirements. Major cost optimization.

EKS Fargate: Run pods without managing EC2 instances at all. AWS provisions the underlying infrastructure per pod. Good for batch workloads, not for stateful apps.

EKS Managed Add-ons: CoreDNS, kube-proxy, VPC CNI, EBS CSI driver — managed and updated by AWS.

EKS cost

• Control plane: $0.10/hour per cluster = ~$73/month
• Worker nodes: EC2 pricing (you choose instance types)
• Fargate: Per vCPU and GB per second
• Data transfer: Cross-AZ traffic has costs — design VPC topology carefully

For a 3-node cluster with t3.medium workers: ~$73 (control plane) + ~$100 (3x t3.medium) = ~$173/month.

Head-to-Head Comparison

Learning and Skill Building

kubeadm > k3s > EKS

Building a kubeadm cluster teaches you more about Kubernetes internals than anything else. If you're preparing for CKA or want to understand how Kubernetes actually works — kubeadm is the answer.

Production Reliability

EKS > k3s (HA) > kubeadm

EKS's managed control plane has better uptime guarantees than anything you can self-manage. For workloads where cluster availability is critical, paying for managed control plane is worth it.

Cost (small scale)

kubeadm ≈ k3s > EKS

For 1–3 nodes, you pay just VM costs with kubeadm or k3s. EKS adds $73/month cluster fee regardless of size. For small setups, this matters.

Operational Simplicity

EKS > k3s > kubeadm

EKS handles the hardest operational tasks. k3s auto-handles certs and has simpler upgrades. kubeadm requires the most hands-on work.

Flexibility and Customization

kubeadm > k3s > EKS

Full control with kubeadm. k3s has some limitations. EKS constrains you to AWS's supported configurations.

My Recommendation

Use kubeadm if:

• You're studying for CKA or learning Kubernetes deeply
• You're deploying on-premises or in air-gapped environments
• You need maximum control over every cluster component

Use k3s if:

• You're deploying on edge, IoT, or resource-constrained nodes
• You want a simple self-managed cluster for a small team
• You're running dev/CI environments that need a real cluster

Use EKS if:

• You're running production workloads on AWS
• Your team doesn't want to manage Kubernetes control plane operations
• You need AWS service integrations (IAM, ALB, EBS, RDS)
• You want automatic HA and managed upgrades

Most production DevOps teams end up at EKS (or GKE/AKS) because the control plane management overhead isn't worth it when your core job is shipping software, not running Kubernetes.

Go deeper: Our AWS EKS guide, Karpenter guide, and CKA prep guide cover each path in detail.

Affiliate note: AWS Free Tier includes 12 months of EC2, and you can run EKS with t3.micro workers for testing at minimal cost. Hetzner Cloud is the most cost-effective option for k3s or kubeadm in Europe.