# Setting up Kubernetes
- How did we set up these Kubernetes clusters that we're using?
--
- We used `kubeadm` on freshly installed VM instances running Ubuntu 16.04 LTS
1. Install Docker
2. Install Kubernetes packages
3. Run `kubeadm init` on the master node
4. Set up Weave (the overlay network)
(that step is just one `kubectl apply` command; discussed later)
5. Run `kubeadm join` on the other nodes (with the token produced by `kubeadm init`)
6. Copy the configuration file generated by `kubeadm init`
- Check the [prepare VMs README](https://@@GITREPO@@/blob/master/prepare-vms/README.md) for more details
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## Other deployment options
- If you are on Azure:
[AKS](https://azure.microsoft.com/services/container-service/)
- If you are on Google Cloud:
[GKE](https://cloud.google.com/kubernetes-engine/)
- If you are on AWS:
[EKS](https://aws.amazon.com/eks/)
or
[kops](https://github.com/kubernetes/kops)
- On a local machine:
[minikube](https://kubernetes.io/docs/getting-started-guides/minikube/),
[kubespawn](https://github.com/kinvolk/kube-spawn),
[Docker4Mac](https://docs.docker.com/docker-for-mac/kubernetes/)
- If you want something customizable:
[kubicorn](https://github.com/kubicorn/kubicorn)
Probably the closest to a multi-cloud/hybrid solution so far, but in development
---
## Even more deployment options
- If you like Ansible:
[kubespray](https://github.com/kubernetes-incubator/kubespray)
- If you like Terraform:
[typhoon](https://github.com/poseidon/typhoon/)
- You can also learn how to install every component manually, with
the excellent tutorial [Kubernetes The Hard Way](https://github.com/kelseyhightower/kubernetes-the-hard-way)
*Kubernetes The Hard Way is optimized for learning, which means taking the long route to ensure you understand each task required to bootstrap a Kubernetes cluster.*
- There are also many commercial options available!
- For a longer list, check the Kubernetes documentation:
it has a great guide to [pick the right solution](https://kubernetes.io/docs/setup/pick-right-solution/) to set up Kubernetes.