When it comes to creating a cluster on a cloud provider, there are quite a few choices. But if you want a consistent way to create a cluster on-premise for example on vSphere as well as on AWS, then Kubespray is your best bet. Kubespray enables building Kubernetes clusters using Ansible playbooks - which means no matter where your target instances are, you can use Kubespray to provision a Kubernetes cluster. Kubespray also allows one to compose the components of a Kubernetes cluster - so you can pick and choose solutions which make sense for a particular deployment.
Many tools exist that enable creating a Kubernetes cluster from scratch, apart from the managed offerings from major cloud providers. Let’s understand various tools and the areas in which they shine. This will also help you understand if Kubespray is the right choice for your use case and which tool to use for specific use cases.
* **[Kops](https://github.com/kubernetes/kops)** was originally intended for provisioning Kubernetes cluster in AWS. It now supports additional cloud providers such as GCE or Digital Ocean with varying degrees of customizability. It is still the best ways to provision a cluster on AWS and provides the end to end management of provisioning, cluster creation, and upgrades. * **Kubeadm** is one of the simplest ways to bootstrap a cluster on a set of machines which are already provisioned. Kubeadm assumes a set of best practices and enables the creation of the cluster. You will have to use a different tool to provision the infrastructure beforehand. To get a sense of Kubeadm, I highly recommend the [Kubeadm Workshop](https://github.com/luxas/kubeadm-workshop) which creates a Kubernetes cluster on a set of Raspberry Pi boards.
* Consistency - no matter where you are setting up Kubernetes cluster. The same method can be used for setting up a cluster in AWS or on vSphere. * Kubespray supports all major cloud provider but more importantly vSphere, OpenStack and bare metal. Moreover, it comes with vSphere cloud provider built in which means you can natively integrate with storage and policy management of vSphere. * As of this writing with Kubespray you can configure one of the six network plugins. Kubespray currently supports Calico, Canal, Flannel, Weave, Contiv and Cilium. * Kubespray supports creating an HA cluster on a variety of OS distributions. * Flexibility: Kubespray provisions infrastructure using terraform and then configures the Kubernetes cluster components with Ansible. This gives you a lot of flexibility and you can add custom steps or configurations as part of infrastructure provisioning or cluster creation.
We will use AWS as an example in this tutorial to set up a Kubernetes cluster. The instance from which we will run installation process needs a few things to be present:
-bshould be specified.
As part of cluster creation process, we will create a HA cluster. This cluster will provision following resources in AWS infrastructure:
The following is a diagram of the infrastructure architecture that we will create.
Clone the kubespray GitHub repo and install the dependencies that it needs. We will use all commands and context hereafter is from within the cloned Kubespray directory.
$ git clone firstname.lastname@example.org:kubernetes-incubator/kubespray.git $ cd kubespray $ sudo pip install -r requirements.txt
Next, export the variables for your AWS credentials or edit the terraform’s credentials file and configure the AWS credentials
export AWS_ACCESS_KEY_ID="www" export AWS_SECRET_ACCESS_KEY ="xxx" export AWS_SSH_KEY_NAME="yyy" export AWS_DEFAULT_REGION="zzz"
Let’s configure the terraform variables, we can use the example file and change it suit our needs. Rename the file
terraform.tfvars and update the details. An example file used to provision a HA cluster with 3 nodes of etcd, 3 nodes of master and 3 worker nodes is shown below:
#Global Vars aws_cluster_name = "kubespray" #VPC Vars aws_vpc_cidr_block = "10.250.192.0/18" aws_cidr_subnets_private = ["10.250.192.0/20","10.250.208.0/20"] aws_cidr_subnets_public = ["10.250.224.0/20","10.250.240.0/20"] #Bastion Host aws_bastion_size = "t2.medium" #Kubernetes Cluster aws_kube_master_num = 3 aws_kube_master_size = "t2.medium" aws_etcd_num = 3 aws_etcd_size = "t2.medium" aws_kube_worker_num = 3 aws_kube_worker_size = "t2.medium" #Settings AWS ELB aws_elb_api_port = 6443 k8s_secure_api_port = 6443 kube_insecure_apiserver_address = "0.0.0.0"
terraform init to initialize the following modules followed by
$ terraform init
$ terraform plan -out=aws_kubespray_plan
The plan command will generate a file
aws_kubespray_plan depicting an execution plan of the infrastructure that will be created on AWS. If you are familiar with terraform this is a standard workflow for infrastructure using Terraform. Next let’s apply this plan so that the instances, VPCs and LBs are provisioned:
$ terraform apply "aws_kubespray_plan"
Terraform automatically creates an Ansible Inventory file called
hosts with the created infrastructure in the directory inventory. Ansible will automatically generate an ssh config file for your bastion hosts. To connect to hosts with ssh using bastion host use generated
ssh-bastion.conf which will be generated after running
ansible-playbook the first time.
The next step is to create the Kubernetes cluster on this infrastructure with customizations you need. You can configure the group_vars files in
inventory/mycluster/group_vars or provide the flags on CLI to customize specific things. In this case, we will change the networking plugin from the default calico to Flannel with the kube_network_plugin flag. Provide an appropriate path to hosts file generated in the previous step and then execute the following command:
ansible_ssh_private_key_file=~/path/to/ec2-key-file.pem $ ansible-playbook -i ./inventory/hosts ./cluster.yml -e ansible_user=core -e bootstrap_os=coreos -e kube_network_plugin=flannel -b --become-user=root --flush-cache -e ansible_ssh_private_key_file=~/path/to/ec2-key-file.pe
Kubespray gives a highly customizable and yet consistent way to create a Kubernetes cluster across various infrastructure platforms. It also enables people with existing knowledge of Terraform and Ansible to leverage known tools to create the clusters. Kubespray is especially useful to provision a cluster on vSphere and other on-premise setups easily.