This tutorial is obsolete, check the updated version of the tutorial
The purpose of this tutorial series is to deploy Jupyterhub on top of Kubernetes on Jetstream. This material was presented as a tutorial at the Gateways 2018 conference, see also the slides on Figshare.
Compared to my initial tutorial, I focused on improving automation.
Instead of creating Jetstream instances via the Atmosphere web interface and then
SSHing into the instances and run
kubeadm based commands to setup Docker and Kubernetes we will:
- Use the
terraformrecipe part of the
kubesprayproject to interface with the Jetstream API and create a cluster of virtual machines
- Run the
kubesprayansible recipe to setup a production-ready Kubernetes deployment, optionally with High Availability features like redundant master nodes and much more, see kubepray.io.
Create Jetstream Virtual machines with Terraform
kubespray is able to deploy production-ready Kubernetes deployments and initially targeted only
commercial cloud platforms.
They recently added support for Openstack via a Terraform recipe which is available in their Github repository.
Terraform allows to execute recipes that describe a set of OpenStack resources and their relationship. In the context of this tutorial, we do not need to learn much about Terraform, we will configure and execute the recipe provided by
On a Ubuntu 18.04 install
python3-openstackclient with APT.
Any other platform works as well, also install
terraform by copying the correct binary to
/usr/local/bin/, see https://www.terraform.io/intro/getting-started/install.html. The current version of the recipe requires Terraform
0.11.x, not the newest 0.12.
Request API access
In order to make sure your XSEDE account can access the Jetstream API, you need to contact the Helpdesk, see the instructions on the Jetstream Wiki. You will also receive your TACC password, which could be different than your XSEDE one (username is generally the same).
Login to the TACC Horizon panel at https://tacc.jetstream-cloud.org/dashboard, this is basically the low level web interface to OpenStack, a lot more complex and powerful than Atmosphere available at https://use.jetstream-cloud.org/application. Use
tacc as domain, your TACC username (generally the same as your XSEDE username) and your TACC password.
First choose the right project you would like to charge to in the top dropdown menu (see the XSEDE website if you don’t recognize the grant code).
Click on Compute / API Access and download the OpenRC V3 authentication file to your machine. Source it typing:
it should ask for your TACC password. This configures all the environment variables needed by the
openstack command line tool to interface with the Openstack API.
openstack flavor list
This should return the list of available “sizes” of the Virtual Machines.
I had to make a few modifications to
kubespray to adapt it to Jetstream or backport bug fixes not merged yet, so currently better use my fork of
git clone https://github.com/zonca/jetstream_kubespray
jetstream_kubespray, copy from my template:
export CLUSTER=$USER cp -LRp inventory/zonca_kubespray inventory/$CLUSTER cd inventory/$CLUSTER
Open and modify
cluster.tf, choose your image and number of nodes.
Make sure to change the network name to something unique, like the expanded form of
You can find suitable images (they need to be JS-API-Featured, you cannot use the same instances used in Atmosphere):
openstack image list | grep "JS-API"
I already preconfigured the network UUID both for IU and TACC, but you can crosscheck
looking for the
public network in:
openstack network list
Create the resources:
The last output log of Terraform should contain the IP of the master node
k8s_master_fips, wait for it to boot then
SSH in with:
centos@$IP for CentOS images.
Inspect with Openstack the resources created:
openstack server list openstack network list
You can cleanup the virtual machines and all other Openstack resources (all data is lost) with
Install Kubernetes with
Change folder back to the root of the
First make sure you have a recent version of
ansible installed, you also need additional modules,
so first run:
pip install -r requirements.txt
It is useful to create a
virtualenv and install packages inside that.
This will also install
ansible, it is important to install
pip so that the path to access the modules is correct. So remove any pre-installed
Then following the
kubespray documentation, we setup
ssh-agent so that
ansible can SSH from the machine with public IP to the others:
eval $(ssh-agent -s) ssh-add ~/.ssh/id_rsa
Test the connection through ansible:
ansible -i inventory/$CLUSTER/hosts -m ping all
If a server is not answering to ping, first try to reboot it:
openstack server reboot $CLUSTER-k8s-node-nf-1
Or delete it and run
terraform_apply.sh to create it again.
inventory/$CLUSTER/group_vars/all.yml, in particular
bootstrap_os, I setup
ubuntu, change it to
centos if you used the Centos 7 base image.
Due to a bug in the recipe, run ( see details in the Troubleshooting notes below):
Finally run the full playbook, it is going to take a good 10 minutes:
ansible-playbook --become -i inventory/$CLUSTER/hosts cluster.yml
If the playbook fails with “cannot lock the administrative directory”, it is due to the fact that the Virtual Machine is automatically updating so it has locked the APT directory. Just wait a minute and launch it again. It is always safe to run
ansible multiple times.
If the playbook gives any error, try to retry the above command, sometimes there are temporary failed tasks, Ansible is designed to be executed multiple times with consistent results.
You should have now a Kubernetes cluster running, test it:
$ ssh ubuntu@$IP $ kubectl get pods --all-namespaces NAMESPACE NAME READY STATUS RESTARTS AGE cert-manager cert-manager-78fb746bc7-w9r94 1/1 Running 0 2h ingress-nginx default-backend-v1.4-7795cd847d-g25d8 1/1 Running 0 2h ingress-nginx ingress-nginx-controller-bdjq7 1/1 Running 0 2h kube-system kube-apiserver-zonca-kubespray-k8s-master-1 1/1 Running 0 2h kube-system kube-controller-manager-zonca-kubespray-k8s-master-1 1/1 Running 0 2h kube-system kube-dns-69f4c8fc58-6vhhs 3/3 Running 0 2h kube-system kube-dns-69f4c8fc58-9jn25 3/3 Running 0 2h kube-system kube-flannel-7hd24 2/2 Running 0 2h kube-system kube-flannel-lhsvx 2/2 Running 0 2h kube-system kube-proxy-zonca-kubespray-k8s-master-1 1/1 Running 0 2h kube-system kube-proxy-zonca-kubespray-k8s-node-nf-1 1/1 Running 0 2h kube-system kube-scheduler-zonca-kubespray-k8s-master-1 1/1 Running 0 2h kube-system kubedns-autoscaler-565b49bbc6-7wttm 1/1 Running 0 2h kube-system kubernetes-dashboard-6d4dfd56cb-24f98 1/1 Running 0 2h kube-system nginx-proxy-zonca-kubespray-k8s-node-nf-1 1/1 Running 0 2h kube-system tiller-deploy-5c688d5f9b-fpfpg 1/1 Running 0 2h
Compare that you have all those services running also in your cluster. We have also configured NGINX to proxy any service that we will later deploy on Kubernetes, test it with:
$ wget localhost --2018-09-24 03:01:14-- http://localhost/ Resolving localhost (localhost)... 127.0.0.1 Connecting to localhost (localhost)|127.0.0.1|:80... connected. HTTP request sent, awaiting response... 404 Not Found 2018-09-24 03:01:14 ERROR 404: Not Found.
Error 404 is a good sign, the service is up and serving requests, currently there is nothing to deliver.
Finally test that the routing through the Jetstream instance is working correctly by opening your browser
and test that if you access
js-XX-XXX.jetstream-cloud.org you also get a
default backend - 404 message.
If any of the tests hangs or cannot connect, there is probably a networking issue.
Next you can explore the kubernetes deployment to learn more about how you deploy resources in the second part of my tutorial or skip it and proceed directly to the third and final part of the tutorial and deploy Jupyterhub and configure it with HTTPS.
For future reference, disregard this.
Failing ansible task:
openstack_tenant_id is missing
export OS_TENANT_ID=$OS_PROJECT_ID, this should be fixed once https://github.com/kubernetes-incubator/kubespray/pull/2783 is merged, anyway this is not blocking.
Write cacert file:
NOTE: had to cherry-pick a commit from https://github.com/kubernetes-incubator/kubespray/pull/3280, this will be unnecessary once this is fixed upstream
(Optional) Setup kubectl locally
We also set
kubectl_localhost: true and
kubectl is installed on your local machine
it also copies
now copy that to
this has an issue, it has the internal IP of the Jetstream master.
We cannot replace it with the public floating ip because the certificate is not valid for that.
Best workaround is to replace it with
~/.kube/config at the
Then make a SSH tunnel:
ssh ubuntu@$IP -f -L 6443:localhost:6443 sleep 3h
-fsends the process in the background
sleepfor 3 hours makes the tunnel automatically close after 3 hours, otherwise
-Nwould keep the tunnel permanently open
(Optional) Setup helm locally
ssh into the master node, check helm version with:
Download the same binary version from the release page on Github
and copy the binary to