* moodle: update to `bitnami/moodle:3.3.0-r2` * moodle: bump chart version to `0.1.8` * moodle: fix probes to properly query pod health * Rename MARIADB_PORT to MARIADB_PORT_NUMBER
Moodle
Moodle Moodle is a learning platform designed to provide educators, administrators and learners with a single robust, secure and integrated system to create personalised learning environments
TL;DR;
$ helm install stable/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.
Prerequisites
- Kubernetes 1.4+ with Beta APIs enabled
- PV provisioner support in the underlying infrastructure
Installing the Chart
To install the chart with the release name my-release:
$ helm install --name my-release stable/moodle
The command deploys Moodle on the Kubernetes cluster in the default configuration. The configuration section lists the parameters that can be configured during installation.
Tip
: List all releases using
helm list
Uninstalling the Chart
To uninstall/delete the my-release deployment:
$ helm delete my-release
The command removes all the Kubernetes components associated with the chart and deletes the release.
Configuration
The following tables lists the configurable parameters of the Moodle chart and their default values.
| Parameter | Description | Default |
|---|---|---|
image |
Moodle image | bitnami/moodle:{VERSION} |
imagePullPolicy |
Image pull policy | IfNotPresent |
moodleUsername |
User of the application | user |
moodlePassword |
Application password | random 10 character alphanumeric string |
moodleEmail |
Admin email | user@example.com |
smtpHost |
SMTP host | nil |
smtpPort |
SMTP port | nil |
smtpProtocol |
SMTP Protocol | nil |
smtpUser |
SMTP user | nil |
smtpPassword |
SMTP password | nil |
serviceType |
Kubernetes Service type | LoadBalancer |
resources |
CPU/Memory resource requests/limits | Memory: 512Mi, CPU: 300m |
persistence.enabled |
Enable persistence using PVC | true |
persistence.apache.storageClass |
PVC Storage Class for Apache volume | nil (uses alpha storage class annotation) |
persistence.apache.accessMode |
PVC Access Mode for Apache volume | ReadWriteOnce |
persistence.apache.size |
PVC Storage Request for Apache volume | 1Gi |
persistence.moodle.storageClass |
PVC Storage Class for Moodle volume | nil (uses alpha storage class annotation) |
persistence.moodle.accessMode |
PVC Access Mode for Moodle volume | ReadWriteOnce |
persistence.moodle.size |
PVC Storage Request for Moodle volume | 8Gi |
mariadb.mariadbRootPassword |
MariaDB admin password | nil (uses alpha storage class annotation) |
mariadb.persistence.enabled |
Enable MariaDB persistence using PVC | true |
mariadb.persistence.storageClass |
PVC Storage Class for MariaDB volume | generic |
mariadb.persistence.accessMode |
PVC Access Mode for MariaDB volume | ReadWriteOnce |
mariadb.persistence.size |
PVC Storage Request for MariaDB volume | 8Gi |
The above parameters map to the env variables defined in bitnami/moodle. For more information please refer to the bitnami/moodle image documentation.
Specify each parameter using the --set key=value[,key=value] argument to helm install. For example,
$ helm install --name my-release \
--set moodleUsername=admin,moodlePassword=password,mariadb.mariadbRootPassword=secretpassword \
stable/moodle
The above command sets the Moodle administrator account username and password to admin and password respectively. Additionally it sets the MariaDB root user password to secretpassword.
Alternatively, a YAML file that specifies the values for the above parameters can be provided while installing the chart. For example,
$ helm install --name my-release -f values.yaml stable/moodle
Tip
: You can use the default values.yaml
Persistence
The Bitnami Moodle image 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, and minikube. See the Configuration section to configure the PVC or to disable persistence.