Setting up Kubernetes in Packet
In this document, we’re going to show you how to use
kubicorn to ramp up a Kubernetes cluster in Packet, use it and tear it down again.
As a prerequisite, you need to have
kubicorn installed. Since we don’t have binary releases yet, we assume you’ve got Go installed and simply do:
$ go get github.com/kubicorn/kubicorn
The first thing you will do now is to define the cluster resources.
For this, you need to select a certain profile. Of course, once you’re more familiar with
kubicorn, you can go ahead and extend existing profiles or create new ones.
In the following we’ll be using an existing profile called
packet, which is a profile for a cluster in Packet based on Ubuntu 16.04 LTS servers.
Now execute the following command:
$ kubicorn create myfirstk8s --profile packet
kubicorn create did a good job by executing:
$ cat _state/myfirstk8s/cluster.yaml
Feel free to tweak the configuration to your liking here.
We’re now in a position to have the cluster resources defined, locally, based on the selected profile.
Next we will apply the so defined resources using the
apply command, but before we do that we’ll set up the access to Packet.
You will need a Packet API token.
You can create an API token in the Packet portal.
Next, export the environment variable
PACKET_APITOKEN so that
kubicorn can pick it up in the next step:
$ export PACKET_APITOKEN=*****************************************
Also, make sure that the public SSH key for your Packet account is called
id_rsa.pub, which is the default in the above profile:
$ ls -al ~/.ssh/id_rsa.pub -rw-------@ 1 mhausenblas staff 754B 20 Mar 04:03 /Users/mhausenblas/.ssh/id_rsa.pub
With the access set up, we can now apply the resources we defined in the first step. This actually creates resources in Packet. Up to now we’ve only been working locally.
$ kubicorn apply myfirstk8s
kubicorn will reconcile your intended state against the actual state in the cloud, thus creating a Kubernetes cluster.
kubectl configuration file (kubeconfig) will be created or appended for the cluster on your local filesystem.
You can now
kubectl get nodes and verify that Kubernetes 1.7.0 is now running.
You can also
ssh into your instances using the example command found in the output from
To delete your cluster run:
$ kubicorn delete myfirstk8s
Congratulations, you’re an official
kubicorn user now and might want to dive deeper,
for example, learning how to define your own profiles.