Merge pull request #22 from CSCfi/small-fixes

Update README and description

charts/airflow/Chart.yaml

@@ -27,7 +27,8 @@ dependencies:
   repository: oci://registry-1.docker.io/bitnamicharts
   version: 13.x.x
 description: The official Helm chart to deploy Apache Airflow, a platform to
-  programmatically author, schedule, and monitor workflows
+  programmatically author, schedule, and monitor workflows.
+  Link to the repo https://github.com/CSCfi/helm-charts
 home: https://airflow.apache.org/
 sources:
   - https://github.com/apache/airflow

charts/airflow/README.md

@@ -24,6 +24,8 @@
 [Apache Airflow](https://airflow.apache.org/) is a platform to programmatically author, schedule and monitor workflows.
 
 ## Introduction
+The default quota in a project is not enough to run Airflow (4 CPU). You must request at least 8 CPU.
+
 
 This chart will bootstrap an [Airflow](https://airflow.apache.org) deployment on a [OpenShift](http://okd.io)
 cluster using the [Helm](https://helm.sh) package manager.
@@ -37,14 +39,20 @@ cluster using the [Helm](https://helm.sh) package manager.
 
 As mentioned in the documentation, you must create a [Webserver Secret Key](https://airflow.apache.org/docs/helm-chart/stable/production-guide.html#webserver-secret-key). To do this, type this command:  
 
-   ```sh
+   ```
    oc create secret generic webserver-secret --from-literal="webserver-secret-key=$(python3 -c 'import secrets; print(secrets.token_hex(16))')"
    ```
 
 Values from `posgresql.auth` must be defined. They must match with the values from `data.metadataConnection`
 
 You can change the default user for the Webserver by modifying the values `webserver.defaultUser`
 
+Once done, you can install the chart with Helm:
+
+  ```
+  helm install airflow .
+  ```
+
 ## Documentation
 
 Full documentation for Helm Chart (latest **stable** release) lives [on the website](https://airflow.apache.org/docs/helm-chart/).

charts/hedgedoc/Chart.yaml

@@ -1,6 +1,7 @@
 apiVersion: v2
 name: hedgedoc-helm
 description: Hedgedoc Helm Chart for Rahti platform
+  Link to the repo https://github.com/CSCfi/helm-charts
 version: 1.0.0
 sources:
 - https://github.com/CSCfi/helm-charts

charts/jupyterhub/Chart.yaml

@@ -4,16 +4,9 @@ name: jupyterhub
 version: 0.0.1-set.by.chartpress
 appVersion: "4.0.2"
 description: Multi-user Jupyter installation
+  Link to the repo https://github.com/CSCfi/helm-charts
 keywords: [jupyter, jupyterhub, z2jh]
 home: https://z2jh.jupyter.org
 sources: [https://github.com/jupyterhub/zero-to-jupyterhub-k8s]
 icon: https://hub.jupyter.org/helm-chart/images/hublogo.svg
 kubeVersion: ">=1.23.0-0"
-maintainers:
-  # Since it is a requirement of Artifact Hub to have specific maintainers
-  # listed, we have added some below, but in practice the entire JupyterHub team
-  # contributes to the maintenance of this Helm chart.
-  - name: Erik Sundell
-    email: [email protected]
-  - name: Simon Li
-    url: https://github.com/manics/

charts/matomo/Chart.yaml

@@ -1,6 +1,7 @@
 apiVersion: v2
 name: matomo-helm
 description: Matomo Helm Chart for Rahti platform
+  Link to the repo https://github.com/CSCfi/helm-charts
 version: 1.0.0
 sources:
 - https://github.com/CSCfi/helm-charts

charts/minio/Chart.yaml

@@ -1,6 +1,7 @@
 apiVersion: v2
 name: minio-helm
 description: Minio Helm Chart for Rahti platform
+  Link to the repo https://github.com/CSCfi/helm-charts
 version: 1.0.0
 sources:
 - https://github.com/CSCfi/helm-charts

charts/mlflow/Chart.yaml

@@ -28,6 +28,7 @@ dependencies:
   - bitnami-common
   version: 2.x.x
 description: MLflow is an open-source platform designed to manage the end-to-end machine learning lifecycle. It allows you to track experiments, package code into reproducible runs, and share and deploy models.
+  Link to the repo https://github.com/CSCfi/helm-charts
 home: https://bitnami.com
 icon: https://bitnami.com/assets/stacks/mlflow/img/mlflow-stack-220x234.png
 keywords:

charts/prometheus-grafana/Chart.yaml

@@ -1,6 +1,7 @@
 apiVersion: v2
 name: prometheus-grafana-helm
 description: Prometheus and Grafana Helm Chart for Rahti platform
+  Link to the repo https://github.com/CSCfi/helm-charts
 version: 1.0.0
 sources:
 - https://github.com/CSCfi/helm-charts

charts/rocketchat/Chart.yaml

@@ -11,7 +11,8 @@ dependencies:
     repository: https://nats-io.github.io/k8s/helm/charts
     version: 0.15.x
     condition: microservices.enabled
-description: Prepare to take off with the ultimate chat platform, experience the next level of team communications
+description: Prepare to take off with the ultimate chat platform, experience the next level of team communications.
+  Link to the repo https://github.com/CSCfi/helm-charts
 keywords:
   - chat
   - communication

charts/rocketchat/README.md

@@ -20,7 +20,7 @@ By default, the MongoDB chart requires PV support on underlying infrastructure (
 To install the chart with the release name `rocketchat`:
 
 ```console
-$ helm upgrade --install rocketchat . --set mongodb.auth.passwords={rocketchatPassword},mongodb.auth.rootPassword=rocketchatRootPassword
+helm upgrade --install rocketchat . --set mongodb.auth.passwords={rocketchatPassword},mongodb.auth.rootPassword=rocketchatRootPassword
 ```
 
 Usage of `Values.yaml` file is recommended over using command line arguments `--set`. You must set at least the database password and root password in the values file.
@@ -41,7 +41,7 @@ route:
   host: "rocketchat-test"
 ```
 Now use the following command to deploy
-```shell
+```console
 helm install rocketchat . -f Values.yaml
 ```
 
@@ -52,7 +52,7 @@ helm install rocketchat . -f Values.yaml
 To uninstall/delete the `rocketchat` deployment:
 
 ```console
-$ helm delete rocketchat
+helm delete rocketchat
 ```
 
 ## Configuration

charts/rstudio/Chart.yaml

@@ -1,6 +1,7 @@
 apiVersion: v2
 name: rstudio-helm
 description: RStudio Helm Chart for Rahti platform
+  Link to the repo https://github.com/CSCfi/helm-charts
 version: 1.0.0
 sources:
 - https://github.com/CSCfi/helm-charts

charts/spark/Chart.yaml

@@ -16,6 +16,7 @@ dependencies:
   - bitnami-common
   version: 2.x.x
 description: Apache Spark is a high-performance engine for large-scale computing tasks, such as data processing, machine learning and real-time data streaming. It includes APIs for Java, Python, Scala and R.
+  Link to the repo https://github.com/CSCfi/helm-charts
 home: https://bitnami.com
 icon: https://bitnami.com/assets/stacks/spark/img/spark-stack-220x234.png
 keywords: