- #Install kubernetes cluster on ubuntu how to
- #Install kubernetes cluster on ubuntu install
- #Install kubernetes cluster on ubuntu update
- #Install kubernetes cluster on ubuntu password
Note: you can use the -n command to pass the namespace rather than listing all of the pods on the cluster in this case the namespace is called default. Immediately after running this, re-run your microk8s.kubectl get pods command from above and you will see the additional instances of the microbot application being created and eventually stabilize in Running. Run this command to increase the replica count (output displayed below command): sudo microk8s.kubectl scale deployment microbot -replicas=5 Kube-system monitoring-influxdb-grafana-v4-6dc675bf8c-qsdct 2/2 Running 2 118m Kube-system kubernetes-dashboard-67765b55f5-2knqj 1/1 Running 1 118m Kube-system dashboard-metrics-scraper-db65b9c6f-5lvcj 1/1 Running 1 118m You can see the newly created microbot application in your list of running pods by running (output displayed below command): sudo microk8s.kubectl get pods -all-namespacesĭefault microbot-6d97548556-g5mcn 1/1 Running 0 71m Run: sudo microk8s.kubectl create deployment microbot -image=dontrebootme/microbot:v1 Now that we have the dashboard up and running, we’ll use an available image of the microbot app to create an actual deployment on our local cluster. Once authenticated, you should see something like this:
#Install kubernetes cluster on ubuntu password
You will be asked for that username and password that we saved previously. Now, on your other computer, open a browser and let’s load the Grafana endpoint: Once you have the password, start the dashboard by running: sudo microk8s.kubectl cluster-info I’d recommend ssh’ing into the box and copying the password located in /var/snap/microk8s/current/credentials/basic_auth.csv. Save the username and password that are outputted at the end. Before continuing, we need to retrieve our default user information. You will want to save the first IPv4 address somewhere as it will be used later (in my case, that IP is 192.168.1.45). First, we need to find out the internal IP of your server. Once all the pods show running, we are now ready to access the dashboard. It should take a few minutes to get all the pods in the “RUNNING” state (hint: if this is taking a while, try using the linux comand watch between sudo and microk8s to have the command repeated every 2 seconds). Kube-system monitoring-influxdb-grafana-v4-6dc675bf8c-qsdct 2/2 Running 4 22h Kube-system kubernetes-dashboard-67765b55f5-2knqj 1/1 Running 2 22h Kube-system dashboard-metrics-scraper-db65b9c6f-5lvcj 1/1 Running 2 22h Kube-system coredns-588fd544bf-dv9b9 1/1 Running 2 22h Then, to check on the deployment of these add-ons, run (output displayed below command): sudo microk8s.kubectl get pods -all-namespaces It is recommended to run the following in order to enable the basic Kubernetes services dashboard and kube-dns.
#Install kubernetes cluster on ubuntu install
To install the latest version of MicroK8s run the following: sudo snap install microk8s -classicĪfter installing MicroK8s, you need to check the status by running (output displayed below command): sudo microk8s.status -wait-readyīy default all add-ons should read disabled, leaving us with a barebones upstream Kubernetes. The latest Ubuntu Desktop release comes with this already however, other Linux systems may need to install snapd before proceeding. MicroK8s is a snap package and requires snapd to be pre-installed in order to install itself. Now that your server is up to date, it is time to install MicroK8s.
#Install kubernetes cluster on ubuntu update
To do so, run the following commands: sudo apt-get update -y To get started you will need to make sure your server is updated. To run entirely on a workstation or edge device. MicroK8s is a CNCF certified upstream Kubernetes deployment that is designed We will be using MicroK8s for this installation. You will need a separate computer (or a VM) with an Internet browser connected to the same network to access and use the dashboard. For this tutorial, I am assuming you will be installing K8s on a single node.
#Install kubernetes cluster on ubuntu how to
In continuation, I will show how to install a single node Kubernetes cluster on an Ubuntu server, running Ubuntu 18.04.4. In a recent article, I explained what Kubernetes is and what it can be used for. It provides a framework to run distributed systems, taking care of scaling and failover for your applications. Kubernetes, or K8s, is an open-source system that is used to automate deployment, scaling and management of containerized applications.