How to get started with Managed Kubernetes

Kubernetes is an open-source container orchestration system which automates the deployment, scaling and management of containerised applications. UpCloud’s Managed Kubernetes offers a fully-managed solution which allows you to create and begin using Kubernetes clusters in just a few minutes.

Through Kubernetes, you can manage and orchestrate containers (such as Docker) across multiple hosts. Using Kubernetes makes it quick and easy to deploy and manage applications on the cloud. It provides features like self-healing, automatic scaling, and service discovery.

Creating new Managed Kubernetes cluster

The simplest way to create a cluster is by using your Control Panel. You can do so by following the steps outlined below.

To start, log in to the UpCloud Control Panel or sign up if you haven’t yet done so.

Next, go to the Kubernetes page using the menu on the left-hand side.

Then click the Create new cluster button.

Now, configure your Kubernetes cluster according to your preferences by selecting the availability zone, a private network and node groups.

Note that during the Open Beta, Managed Kubernetes is available on  de-fra1 and  fi-hel2.

Next, select a Private Network for your worker nodes. This network should be in the same zone as your created cluster. The network cannot be connected to an existing cluster, cannot have an attached router, and should have DHCP enabled with the default route from DHCP disabled. For the IP network of your SDN network, you can use for example 10.0.1.0/24.

Then create a node group or use the default node group. A node group is a group of workers with identical image templates. You can have multiple node groups with differing configurations and usages.

You also have the options to include key-value labels. The labels are forwarded to kubernetes node definitions and can be used to organize and to select subsets of Kubernetes objects.

Optionally, expand the Advanced options to find the Anti-affinity option and the ability include SSH keys. Note that you will need to add your SSH public key first in your account details before deploying it to your Kubernetes cluster.

Lastly, name your cluster and when all set, click the Create button.

Cluster creation will take a couple of minutes as worker nodes are provisioned and a DNS record is prepared. While your cluster is being created, continue on to setting up your control plain access.

Connecting to the cluster

To be able to deploy workloads to your Managed Kubernetes cluster, you’ll need to configure a connection to it using the kubectl command-line tool with a kubeconfig file.

You can download your cluster’s kubeconfig file from your cluster’s Overview page and set it up on your local computer. Kubeconfig files are used to organize information about clusters, users, namespaces, and authentication mechanisms.

The kubeconfig file allows you to access your cluster easily via the command line. If you do not yet have kubectl installed, follow the instructions for your computer system then continue with the step below.

Add the kubeconfig.yaml file to your system with the command provided at the Kubeconfig section of your cluster Overview. Make sure to set the path correctly depending on where you saved the configuration file.

export KUBECONFIG=/{path}/{cluster-name}_kubeconfig.yaml

You will likely want to add the same command to your profile as well to have it automatically set when you open a new terminal.

When set, test that your cluster is accessible and can be reached by using kubectl.

kubectl config view

apiVersion: v1
clusters:
- cluster:
    certificate-authority-data: DATA+OMITTED
    server: https://lb-0a8fdaf728bd487e8c4ecf5396a8cb25-1.upcloudlb.com:6443
  name: my-kube-cluster
contexts:
- context:
    cluster: my-kube-cluster
    user: my-kube-cluster-admin
  name: my-kube-cluster-admin@my-kube-cluster
current-context: my-kube-cluster-admin@my-kube-cluster
kind: Config
preferences: {}
users:
- name: my-kube-cluster-admin
  user:
    client-certificate-data: DATA+OMITTED
    client-key-data: DATA+OMITTED

If you are seeing an output similar to the example above, you are ready to start deploy applications to your new Managed Kubernetes cluster.

Testing app deployment to the cluster

Now that you have created your Managed Kubernetes cluster and connected to it using kubectl, you probably want to test it out. This can be done quick and easy with just a few commands with kubectl.

Start by deploying a Hello UKS application to your newly created cluster with the command below.

kubectl create deployment --image=ghcr.io/upcloudltd/hello hello-uks

deployment.apps/hello-uks created

Next, expose the application at port 80 making it accessible via HTTP.

kubectl expose deployment hello-uks --port=80 --target-port=80 --type=LoadBalancer

service/hello-uks exposed

This bit will take a moment.

You can keep an eye on the services with the next command to see when the app becomes available.

kubectl get services -w

NAME        TYPE          CLUSTER-IP     EXTERNAL-IP       PORT(S)       AGE
hello-uks   LoadBalancer  10.133.236.77  <pending>         80:31655/TCP  5s
kubernetes  ClusterIP     10.128.0.1     <none>            443/TCP       5m28s
hello-uks   LoadBalancer  10.133.236.77  <pending>         80:31655/TCP  2m20s
hello-uks   LoadBalancer  10.133.236.77  lb-0ad...lb.com   80:31655/TCP  2m20s

Once the hello-uks app has been successfully exposed, you’ll see a load balancer domain name under the external IPs column. It can then be called on the command line.

curl lb-0ad5c7ed5fac4bdc8b7178264467c320-1.upcloudlb.com

Hello! 👋

Hostname: hello-uks-77547779f-bkrm8
Address:  192.168.3.238:80

UpCloudLtd / hello-container at 72507bf9

You can also open the load balancer address on your web browser.

That’s it! You should now have a fully functional Managed Kubernetes with kubectl configured to connect to the control plain.

You can learn more about exposing services or adding persistent volumes for storage at our GitHub page.