KubeOne vs kOps: Which Should You Use?

Introduction

KubeOne and kOps are both open-source tools for provisioning and managing Kubernetes clusters. They solve similar problems — getting you from zero to a running, production-grade cluster — but they approach the task differently. If you are evaluating which one to adopt, the decision comes down to where your infrastructure lives and how you want to manage it.

kOps has been a fixture in the Kubernetes ecosystem since 2016. It is an official Kubernetes SIG project with deep AWS integration and a large community. KubeOne launched later with a different design philosophy: provider-agnostic lifecycle management that works on any infrastructure you can reach over SSH. Both tools are mature, actively maintained, and used in production.

This guide gives you a fair comparison so you can choose the right tool for your situation. There is no universal winner here — the right choice depends on your infrastructure, your team’s workflow, and your operational requirements.

What is KubeOne?

KubeOne is an open-source CLI tool by Kubermatic for automated Kubernetes cluster lifecycle management. It handles installation, upgrades, and repair on any SSH-reachable infrastructure — cloud VMs, bare metal servers, or edge devices. KubeOne uses Terraform for infrastructure provisioning and kubeadm for cluster bootstrapping, keeping a clean separation between the two concerns.

For a detailed overview, see What is KubeOne?.

What is kOps?

kOps (Kubernetes Operations) is an official Kubernetes SIG project for creating, upgrading, and managing production-grade clusters. It has been around since the early days of Kubernetes and has earned its reputation on AWS, where it manages the full stack: VPCs, security groups, auto scaling groups, IAM roles, and Elastic Load Balancers.

kOps also supports GCP, DigitalOcean, Hetzner, and OpenStack, though these providers have varying levels of maturity compared to AWS. The tool maintains its own state store — typically an S3 bucket on AWS or a GCS bucket on GCP — to track cluster configuration and detect drift.

Where KubeOne delegates infrastructure to Terraform, kOps owns it. You tell kOps what you want, and it creates and manages the cloud resources directly. This is a fundamentally different design philosophy, and it shapes everything about how the two tools behave.

Head-to-Head Comparison

Here is a high-level comparison of the two tools:

The table tells part of the story, but the real differences become clear when you look at how each tool handles specific use cases.

Deep Dive: Infrastructure Approach

KubeOne: Terraform + SSH

KubeOne deliberately separates infrastructure provisioning from Kubernetes installation. You use Terraform (or any infrastructure-as-code tool) to create your servers, networks, and load balancers. Once the infrastructure exists, KubeOne takes over: it SSHes into the machines, installs the container runtime, bootstraps the control plane with kubeadm, and configures networking and cloud integrations.

This separation gives you full control over the infrastructure layer. You can use any cloud provider, any network topology, any instance type. If Terraform can create it, KubeOne can install Kubernetes on it. You can also bring existing infrastructure — servers you provisioned manually, machines in a datacenter, or hardware at a remote site.

The trade-off is that you have two tools to learn and manage instead of one. You write Terraform configurations for your infrastructure and a kubeone.yaml manifest for your cluster. For teams already using Terraform, this feels natural. For teams that do not use Terraform, it adds a learning curve.

kOps: Integrated Provisioning

kOps manages infrastructure directly. When you run kops create cluster, it provisions VPCs, subnets, instances, load balancers, and DNS records on AWS. You describe your desired cluster in a spec, and kOps figures out what cloud resources are needed and creates them.

On AWS, this integrated approach is genuinely excellent. kOps understands AWS deeply. It creates auto scaling groups for worker nodes so they scale with demand and automatically replace failed instances. It configures IAM roles with exactly the permissions your cluster needs — no manual policy authoring. It sets up Elastic Load Balancers for the API server and manages their health checks. It handles Route53 DNS records so you get a stable API endpoint.

The trade-off is that kOps makes decisions about your infrastructure. It has opinions about how VPCs should be laid out, how subnets should be organized, and how security groups should be configured. If you need a non-standard VPC layout, custom networking, or integration with existing infrastructure that does not match kOps’ expectations, you may find yourself working against the tool rather than with it.

Tip: If you already use Terraform to manage your cloud infrastructure, KubeOne fits naturally into your workflow. If you prefer a single tool that handles both infrastructure and Kubernetes — and you are on AWS — kOps is hard to beat.

Deep Dive: Bare Metal and Edge

This is KubeOne’s clearest advantage, and it is not close. kOps does not support bare metal at all. It is designed for cloud infrastructure where it can create and destroy instances programmatically.

KubeOne works on any machine you can SSH into. Hetzner dedicated servers, Equinix Metal bare metal, a rack of Dell servers in your datacenter, or a cluster of Raspberry Pis on a shelf. As long as the machine runs a supported Linux distribution and accepts SSH connections, KubeOne can bootstrap Kubernetes on it.

For edge computing — factories, retail locations, remote sites, branch offices — KubeOne automates what would otherwise be a manual kubeadm installation. You get the same declarative workflow, the same upgrade process, and the same repair capabilities that you have on cloud VMs. The only difference is that worker node management relies on static workers instead of machine-controller, since there is no cloud API to provision new machines.

This matters more than it might seem. Many organizations start on the cloud and later discover they need Kubernetes on-premises or at edge locations. If you chose kOps, you now need a second tool for those environments. If you chose KubeOne, the same tool works everywhere.

If bare metal or edge is anywhere in your roadmap, kOps is not an option.

Deep Dive: The AWS Experience

This is kOps’ clearest advantage, and it deserves honest acknowledgment. kOps was built for AWS, and the depth of integration shows in every aspect of the experience.

Native auto scaling groups mean your worker nodes scale with demand, replace failed instances automatically, and can use spot instances for significant cost savings. You define instance groups with min and max sizes, and AWS handles the scaling. No additional controllers or operators needed.

IAM integration means kOps creates the exact IAM policies your cluster components need. The cloud-controller-manager gets permissions to manage load balancers and routes. The cluster autoscaler gets permissions to modify auto scaling groups. The EBS CSI driver gets permissions to create and attach volumes. You do not write a single IAM policy by hand.

ELB management for the API server happens automatically. kOps creates the load balancer, configures health checks, and updates DNS records. When you upgrade the cluster, the load balancer drains connections gracefully.

KubeOne on AWS works well — Kubermatic provides Terraform modules for AWS that handle VPCs, subnets, security groups, and instances — but you are configuring these pieces yourself through Terraform. You write the IAM policies, you set up the load balancer, you configure the auto scaling. The result is equivalent, but the effort is higher, and you need to understand both Terraform and AWS networking to get it right.

Deep Dive: Day-2 Operations

The real test of any Kubernetes management tool is not day-1 installation. It is what happens on day 30, day 90, and day 365 — upgrades, repairs, and ongoing maintenance.

Upgrades

With KubeOne, you change the Kubernetes version in your kubeone.yaml manifest and run kubeone apply. KubeOne SSHes into each control plane node sequentially, performs a kubeadm upgrade, and waits for the node to be healthy before moving to the next one. Worker nodes are upgraded through machine-controller, which performs a rolling replacement: cordon, drain, terminate, create new. The process is the same whether your nodes are on AWS, Hetzner, or bare metal.

With kOps, you update the Kubernetes version in the cluster spec, run kops update cluster to update the launch configurations, then run kops rolling-update cluster to replace instances. kOps terminates old instances in the auto scaling group and lets new instances launch with the updated configuration. Each node is cordoned and drained before termination.

Both approaches produce the same result — a safely upgraded cluster with no downtime — but the mechanisms differ. KubeOne’s SSH-based approach performs an in-place upgrade on existing nodes. kOps’ ASG-based approach replaces nodes entirely with fresh instances. The replacement approach is arguably cleaner (no leftover state from the old version), while the in-place approach is faster and works on infrastructure where you cannot create new instances on demand.

Cluster Repair

KubeOne handles repair through convergence. When you run kubeone apply, it checks the actual state of the cluster against the desired state and fixes any drift. If a control plane node has failed, KubeOne detects it and re-provisions that specific node without touching the healthy ones. If a certificate has expired, KubeOne rotates it. This works the same on every infrastructure provider.

kOps relies on cloud-native self-healing. Auto scaling groups detect failed instances and replace them automatically — no manual intervention needed. This is genuinely hands-off, but it only works on cloud providers where ASGs are available. There is no equivalent mechanism for bare metal.

When to Choose KubeOne

KubeOne is the right choice when:

• You need bare metal, edge, or multi-cloud clusters
• You already use Terraform for infrastructure management and want Kubernetes to fit into that workflow
• You want one tool that works identically across AWS, GCP, Azure, Hetzner, and on-premises hardware
• You need clusters on budget-friendly providers like Hetzner or DigitalOcean, or on your own hardware
• You want SSH-level control over the cluster bootstrap and upgrade process
• Your infrastructure requirements are non-standard and you need full control over VPC layout, networking, and security groups

When to Choose kOps

kOps is the right choice when:

• You are AWS-first and want deep, native AWS integration out of the box
• You prefer a single tool that handles both infrastructure provisioning and Kubernetes management
• You need native auto scaling groups, automatic IAM management, and ELB configuration without writing Terraform
• Your entire fleet runs on one cloud provider — specifically AWS
• You do not need bare metal or edge support and do not anticipate needing it
• You want the backing of an official Kubernetes SIG project with a large community

Can You Use Both?

Yes. There is no rule that says you have to pick one tool for everything. Many organizations have a mix of infrastructure environments, and using the right tool for each environment is a pragmatic approach.

You could use kOps for your AWS production clusters where you want that deep integration and automatic scaling, and use KubeOne for your Hetzner development clusters, your on-premises bare metal, or your edge deployments. Both tools produce standard Kubernetes clusters. Your workloads, Helm charts, GitOps pipelines, and monitoring stack work the same regardless of which tool provisioned the cluster.

The clusters are just Kubernetes. The provisioning tool is an implementation detail that matters at deployment time but is invisible at runtime.

Tip: The “right” tool depends on your infrastructure, not the tool’s feature list. Evaluate based on where your servers are and how you manage them, not on abstract feature comparisons.

Next Steps

Now that you understand the differences, pick a path and try it:

• Installing KubeOne: Your First Cluster in 15 Minutes — get hands-on with KubeOne
• Provisioning Bare Metal Kubernetes with KubeOne and Terraform — explore KubeOne’s strongest use case
• Deploying KubeOne Clusters on Hetzner Cloud — a cost-effective cloud alternative to AWS
• kOps Getting Started on AWS — try kOps where it shines

Summary

KubeOne and kOps are both excellent tools that serve different situations well. kOps is the stronger choice for AWS-heavy organizations that want integrated infrastructure management, native auto scaling, and automatic IAM configuration — all without writing Terraform. KubeOne is the stronger choice for teams that need bare metal support, multi-cloud flexibility, edge deployments, or any infrastructure that kOps does not reach.

If your servers are exclusively on AWS and you do not anticipate bare metal or multi-cloud needs, kOps gives you a streamlined, deeply integrated experience. If you need flexibility across providers, operate on bare metal, or already manage your infrastructure with Terraform, KubeOne gives you a consistent workflow that works everywhere.

Both tools are open source, both are actively maintained, and both produce standard Kubernetes clusters. You are not making an irreversible decision — and as we discussed, you can always use both.