bitnamicharts/moodle repository overview

⁠Bitnami LMS powered by Moodle™ LMS

Moodle™ LMS is an open source online Learning Management System widely used at universities, schools, and corporations. It is modular and highly adaptable to any type of online learning.

Overview of Bitnami LMS powered by Moodle™ LMS⁠

Disclaimer: The respective trademarks mentioned in the offering are owned by the respective companies. We do not provide commercial license of any of these products. This listing has an open source license. Moodle™ LMS is run and maintained by Moodle HQ, that is a completely and separate project from Bitnami.

⁠ TL;DR

helm install my-release oci://REGISTRY_NAME/REPOSITORY_NAME/moodle

⁠ Introduction

This chart bootstraps a Moodle™⁠ deployment on a Kubernetes⁠ cluster using the Helm⁠ package manager.

It also packages the Bitnami MariaDB chart⁠ which is required for bootstrapping a MariaDB deployment for the database requirements of the Moodle™ application.

⁠ Before you begin

• Kubernetes 1.23+
• Helm 3.8.0+
• PV provisioner support in the underlying infrastructure
• ReadWriteMany volumes for deployment scaling

⁠ Installing the Chart

To install the chart with the release name my-release:

helm install my-release oci://REGISTRY_NAME/REPOSITORY_NAME/moodle

The command deploys Moodle™ on the Kubernetes cluster in the default configuration. The Parameters⁠ section lists the parameters that can be configured during installation.

⁠ Configuration and installation details

This section describes credentials, configuration, and other installation options.

⁠ Resource requests and limits

Bitnami charts allow setting resource requests and limits for all containers inside the chart deployment. These are inside the resources value (check parameter table). Setting requests is essential for production workloads and these should be adapted to your specific use case.

To make this process easier, the chart contains the resourcesPreset values, which automatically sets the resources section according to different presets. Check these presets in the bitnami/common chart⁠. However, in production workloads using resourcesPreset is discouraged as it may not fully adapt to your specific needs. Find more information on container resource management in the official Kubernetes documentation⁠.

⁠ Update credentials

Bitnami charts configure credentials at first boot. Any further change in the secrets or credentials require manual intervention. Follow these instructions:

• Update the user password following the upstream documentation⁠
• Update the password secret with the new values (replace the SECRET_NAME, PASSWORD and SMTP_PASSWORD placeholders)

kubectl create secret generic SECRET_NAME --from-literal=moodle-password=PASSWORD --from-literal=smtp-password=SMTP_PASSWORD --dry-run -o yaml | kubectl apply -f -

⁠ Prometheus metrics

This chart can be integrated with Prometheus by setting metrics.enabled to true. This will deploy a sidecar container with apache-exporter⁠ in all pods and a metrics service, which can be configured under the metrics.service section. This metrics service will have the necessary annotations to be automatically scraped by Prometheus.

⁠Prometheus requirements

It is necessary to have a working installation of Prometheus or Prometheus Operator for the integration to work. Install the Bitnami Prometheus helm chart⁠ or the Bitnami Kube Prometheus helm chart⁠ to easily have a working Prometheus in your cluster.

⁠Integration with Prometheus Operator

The chart can deploy ServiceMonitor objects for integration with Prometheus Operator installations. To do so, set the value metrics.serviceMonitor.enabled=true. Ensure that the Prometheus Operator CustomResourceDefinitions are installed in the cluster or it will fail with the following error:

no matches for kind "ServiceMonitor" in version "monitoring.coreos.com/v1"

Install the Bitnami Kube Prometheus helm chart⁠ for having the necessary CRDs and the Prometheus Operator.

⁠ Rolling VS Immutable tags⁠

It is strongly recommended to use immutable tags in a production environment. This ensures your deployment does not change automatically if the same tag is updated with a different image.

Bitnami will release a new chart updating its containers if a new version of the main container, significant changes, or critical vulnerabilities exist.

⁠ Gateway API

This chart provides support for exposing Moodle™ using the Gateway API⁠ and its HTTPRoute resource. If you have a Gateway controller installed on your cluster, such as APISIX, Contour, Envoy Gateway, NGINX Gateway Fabric or Kong Ingress Controller you can utilize the Gateway controller to serve your application. To enable Gateway API integration, set httpRoute.enabled to true. The Gateway to be used can be customized by setting the httpRoute.parentRefs parameter. By default, it will reference a Gateway named gateway in the same namespace as the release.

You can specify the list of hostnames to be mapped to the deployment using the httpRoute.hostnames parameter. Additionally, you can customize the rules used to route the traffic to the service by modifying the httpRoute.matches and httpRoute.filters parameters or adding new rules using the httpRoute.extraRules parameter.

⁠ Ingress without TLS

For using ingress (example without TLS):

ingress.enabled=True
ingress.hosts[0]=moodle.domain.com
serviceType=ClusterIP
moodleUsername=admin
moodlePassword=password
mariadb.mariadbRootPassword=secretpassword

These are the 3 mandatory parameters when Ingress is desired: ingress.enabled=True, ingress.hosts[0]=moodle.domain.com and serviceType=ClusterIP

⁠ Ingress TLS

If your cluster allows automatic creation/retrieval of TLS certificates, please refer to the documentation for that mechanism.

To manually configure TLS, first create/retrieve a key & certificate pair for the address(es) you wish to protect. Then create a TLS secret (named moodle-server-tls in this example) in the namespace. Include the secret's name, along with the desired hostnames, in the Ingress TLS section of your custom values.yaml file:

ingress:
  ## If true, Moodle(TM) server Ingress will be created
  ##
  enabled: true

  ## Moodle(TM) server Ingress annotations
  ##
  annotations: {}
  #   kubernetes.io/ingress.class: nginx
  #   kubernetes.io/tls-acme: 'true'

  ## Moodle(TM) server Ingress hostnames
  ## Must be provided if Ingress is enabled
  ##
  hosts:
    - moodle.domain.com

  ## Moodle(TM) server Ingress TLS configuration
  ## Secrets must be manually created in the namespace
  ##
  tls:
    - secretName: moodle-server-tls
      hosts:
        - moodle.domain.com

⁠ Backup and restore

To back up and restore Helm chart deployments on Kubernetes, you need to back up the persistent volumes from the source deployment and attach them to a new deployment using Velero⁠, a Kubernetes backup/restore tool. Find the instructions for using Velero in this guide⁠.

⁠ FIPS parameters

The FIPS parameters only have effect if you are using images from the Bitnami Secure Images catalog⁠.

For more information on this new feature, please refer to the FIPS Compliance section⁠.

⁠ Persistence

The Bitnami Container Image for Moodle™⁠ stores the Moodle™ data and configurations at the /bitnami/moodle and /bitnami/apache paths of the container.

Persistent Volume Claims are used to keep the data across deployments. This is known to work in GCE, AWS, vSphere, and minikube. See the Parameters⁠ section to configure the PVC or to disable persistence. You may want to review the PV reclaim policy⁠ and update as required. By default, it's set to delete, and when Moodle™ is uninstalled, data is also removed.

⁠ Parameters

The following subsections list global, common, and component-specific parameters.

⁠ Global parameters

⁠ Common parameters

⁠ Moodle™ parameters

Note: the README for this chart is longer than the DockerHub length limit of 25000, so it has been trimmed. The full README can be found at https://techdocs.broadcom.com/us/en/vmware-tanzu/bitnami-secure-images/bitnami-secure-images/services/bsi-app-doc/apps-charts-moodle-index.html⁠