From ad6d19d780d87ab541327415b7d8f3f9007ad984 Mon Sep 17 00:00:00 2001
From: Tristan <tristan.perard@outlook.com>
Date: Fri, 1 Mar 2024 13:45:06 +0200
Subject: [PATCH] Edit mlflow README

---
 charts/mlflow/README.md | 30 ++++++++++++++++++++++--------
 1 file changed, 22 insertions(+), 8 deletions(-)

diff --git a/charts/mlflow/README.md b/charts/mlflow/README.md
index a94f260..ddab14c 100644
--- a/charts/mlflow/README.md
+++ b/charts/mlflow/README.md
@@ -8,21 +8,35 @@ This Helm chart deploys MLflow on Rahti2.
 ## Test and Deploy
 Different steps are necessary to deploy this Helm Chart to Rahti2:  
 
-1. Before installing the Helm Chart, be sure to create Allas credentials for an externalS3 configuration.  
+1. If you want to use CSC external S3 service (Allas), be sure to create Allas credentials.  
    You can achieve this by [sourcing](https://docs.csc.fi/cloud/pouta/install-client/#configure-your-terminal-environment-for-openstack) your cPouta project and then type this command:  
-   ```sh
-   openstack ec2 credentials create
-   ```
+     
+     ```sh
+     openstack ec2 credentials create
+     ```
+   
    Create also an Allas bucket for this deployment. (For example "mlflow")  
 
-2. Deploy MLflow with the `config.yaml` file:  
-   ```sh
-   helm install mlflow . --set externalS3.accessKeyID={ACCESS_KEY} --set externalS3.accessKeySecret={SECRET_KEY} --set externalS3.bucket={BUCKET_NAME}
-   ```
+   You can also use another external S3 service instead of Allas.
+
+2. Deploy MLflow:
+
+     ```sh
+     helm install mlflow . --set externalS3.accessKeyID={ACCESS_KEY} --set externalS3.accessKeySecret={SECRET_KEY} --set externalS3.bucket=mlflow
+     ```
+
    _Replace {ACCESS_KEY} by the access key previously created_  
    _Replace {SECRET_KEY} by the secret key previously created_  
    _Replace {BUCKET_NAME} by the name of the bucket previously created_  
 
+   Alternatively, you can edit the `values.yaml`:
+
+     ```yaml
+     externalS3:
+       accessKeyID: ''
+       accessKeySecret: ''
+       bucket: 'mlflow'
+     ```
 
 To access MLflow tracking webpage, run this command to retrieve `user` password:  
 ```sh