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Kubernetes deployment

With the same docker images we created for :ref:`single server deployment <local>` and :ref:`local development <development>`, we can launch an Open edX platform on Kubernetes. Always in 1 click, of course :)

A word of warning: managing a Kubernetes platform is a fairly advanced endeavour. In this documentation, we assume familiarity with Kubernetes. Running an Open edX platform with Tutor on a single server or in a Kubernetes cluster are two very different things. The local Open edX install was designed such that users with no prior experience with system administration could still launch an Open edX platform. It is not the case for the installation method outlined here. You have been warned :)



Tutor was tested with server version 1.14.1 and client 1.14.3.


In the following, we assume you have access to a working Kubernetes cluster. kubectl should use your cluster configuration by default. To launch a cluster locally, you may try out Minikube. Just follow the official installation instructions.

The Kubernetes cluster should have at least 4Gb of RAM on each node. When running Minikube, the virtual machine should have that much allocated memory. See below for an example with VirtualBox:

Virtualbox memory settings for Minikube

Ingress controller

In order to access your platform, you will have to setup an Ingress controller. Instructions vary for each cloud provider. To deploy an Nginx Ingress controller, it might be as simple as running:

kubectl apply -f
kubectl apply -f

See the official instructions for more details.

On Minikube, run:

minikube addons enable ingress

With Kubernetes, your Open edX platform will not be available at localhost or studio.localhost. Instead, you will have to access your platform with the domain names you specified for the LMS and the CMS. To do so on a local computer, you will need to add the following line to /etc/hosts:


where MINIKUBEIP should be replaced by the result of the command minikube ip.

cert-manager for TLS certificates

Tutor relies on cert-manager to generate TLS certificates for HTTPS access. In order to activate HTTPS support, you will have to install cert-manager yourself. To do so, follow the instructions from the official documentation. It might be as simple as running:

kubectl create namespace cert-manager
kubectl label namespace cert-manager
kubectl apply -f

If you decide to enable HTTPS certificates, you will also have to set WEB_PROXY=true in the platform configuration, because the SSL/TLS termination will not occur in the Nginx container, but in the Ingress controller. To do so, run:

tutor config save --set WEB_PROXY=true

Note that this configuration might conflict with a local installation.

S3-like object storage with MinIO

Like many web applications, Open edX needs to persist data. In particular, it needs to persist files uploaded by students and course designers. In the local installation, these files are persisted to disk, on the host filesystem. But on Kubernetes, it is difficult to share a single filesystem between different pods. This would require persistent volume claims with ReadWriteMany access mode, and these are difficult to setup.

Luckily, there is another solution: at, uploaded files are persisted on AWS S3: Open edX is compatible out-of-the-box with the S3 API for storing user-generated files. The problem with S3 is that it introduces a dependency on AWS. To solve this problem, Tutor comes with a plugin that emulates the S3 API but stores files on premises. This is achieved thanks to MinIO. If you want to deploy a production platform to Kubernetes, you will most certainly need to enable the minio plugin:

tutor plugins enable minio

The "minio.LMS_HOST" domain name will have to point to your Kubernetes cluster. This will not be necessary if you have a CNAME from "*.LMS_HOST" to "LMS_HOST", of course.

Kubernetes dashboard

This is not a requirement per se, but it's very convenient to have a visual interface of the Kubernetes cluster. We suggest the official Kubernetes dashboard. Depending on your Kubernetes provider, you may need to install a dashboard yourself. There are generic instructions on the project's README. AWS provides specific instructions.

On Minikube, the dashboard is already installed. To access the dashboard, run:

minikube dashboard

Technical details

Under the hood, Tutor wraps kubectl commands to interact with the cluster. The various commands called by Tutor are printed in the console, so that you can reproduce and modify them yourself.

Basically, the whole platform is described in manifest files stored in $(tutor config printroot)/env/k8s. There is also a kustomization.yml file at the project root for declarative application management. This allows us to start and update resources with commands similar to kubectl apply -k $(tutor config printroot) --selector=... (see the kubectl apply official documentation).

The other benefit of kubectl apply is that it allows you to customise the Kubernetes resources as much as you want. For instance, the default Tutor configuration can be extended by a kustomization.yml file stored in $(tutor config printroot)/env-custom/ and which would start with:

kind: Kustomization
- ../env/

To learn more about "kustomizations", refer to the official documentation.


Launch the platform on Kubernetes in one command:

tutor k8s quickstart

All Kubernetes resources are associated to the "openedx" namespace. If you don't see anything in the Kubernetes dashboard, you are probably looking at the wrong namespace... 😉

Kubernetes dashboard ("openedx" namespace)

The same tutor k8s quickstart command can be used to upgrade the cluster to the latest version.

Other commands

As with the :ref:`local installation <local>`, there are multiple commands to run operations on your Open edX platform. To view those commands, run:

tutor k8s -h

In particular, the tutor k8s start command restarts and reconfigures all services by running kubectl apply. That means that you can delete containers, deployments or just any other kind of resources, and Tutor will re-create them automatically. You should just beware of not deleting any persistent data stored in persistent volume claims. For instance, to restart from a "blank slate", run:

tutor k8s stop
tutor k8s start

All non-persisting data will be deleted, and then re-created.


Updating docker images

Kubernetes does not provide a single command for updating docker images out of the box. A commonly used trick is to modify an innocuous label on all resources:

kubectl patch -k "$(tutor config printroot)/env" --patch "{\"spec\": {\"template\": {\"metadata\": {\"labels\": {\"date\": \"`date +'%Y%m%d-%H%M%S'`\"}}}}}"
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