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+# Setting up
+
+Minio can be deployed using the argo workflow [documentation ](https://argo-workflows.readthedocs.io/en/latest/configure-artifact-repository/#configuring-minio) or use the ansible playbook written by `pierre.bayle[at]irt-saintexupery.com` available (here)[https://raw.githubusercontent.com/pi-B/ansible-oc/refs/heads/main/deploy_minio.yml?token=GHSAT0AAAAAAC5OBWUCGHWPA4OUAKHBKB4GZ4YTPGQ].
+
+Launch the playbook with `ansible-playbook -i [your host ip or url], deploy_minio.yml --extra-vars "user_prompt=[your user]" [--ask-become-pass]`
+
+- If your user doesn't have the `NOPASSWD` rights on the host use the `--ask-become-pass` to allow ansible to use `sudo` 
+- Fill the value for `memory_req`, `storage_req` and `replicas` in the playbook's vars. The pods won't necessarily use it fully, but if the total memory or storage request of your pod's pool excede your host's capabilities the deployment might fail. 
+
+
+## Flaws of the default install 
+
+- Requests 16Gi of memory / pods 
+- Requests 500Gi of storage
+- Creates 16 replicas
+- Dosen't expose the MinIO GUI to the exterior of cluster
+
+# Allow API access 
+
+Visit the MinIO GUI (on port 9001) and create the bucket(s) you will use (here `oc-bucket`) and access keys, encode them with base64 and create a secret in the argo namespace : 
+
+```  
+kubectl create secret -n [name of your argo namespace] generic argo-artifact-secret \
+--from-literal=access-key=[your access key] \
+--from-literal=secret-key=[your secret key]
+```
+
+- Create a ConfigMap, which will be used by argo to create the S3 artifact, the content can match the one from the previously created secret
+
+```
+apiVersion: v1
+kind: ConfigMap
+metadata:
+  # If you want to use this config map by default, name it "artifact-repositories". Otherwise, you can provide a reference to a
+  # different config map in `artifactRepositoryRef.configMap`.
+  name: artifact-repositories
+  # annotations:
+  #   # v3.0 and after - if you want to use a specific key, put that key into this annotation.
+  #   workflows.argoproj.io/default-artifact-repository: oc-s3-artifact-repository
+data:
+  oc-s3-artifact-repository: |
+    s3:
+      bucket: oc-bucket
+      endpoint: [ retrieve cluster with kubectl get service argo-artifacts -o jsonpath="{.spec.clusterIP}" ]:9000
+      insecure: true
+      accessKeySecret: 
+        name: argo-artifact-secret
+        key: access-key
+      secretKeySecret:
+        name: argo-artifact-secret
+        key: secret-key
+
+```
+
+# Store Argo Workflow objects in MinIO S3 bucket
+
+Here is an exemple of how to store some file/dir from an argo pod to an existing s3 bucket
+
+```
+outputs:
+    parameters:
+        - name: outfile [or OUTDIR ]
+        value: [NAME OF THE FILE OR DIR TO STORE]
+    artifacts:
+        - name: outputs
+        path: [ PATH OF THE FILE OR DIR IN THE CONTAINER]
+        s3:
+            key: [PATH OF THE FILE IN THE BUCKET].tgz'
+```
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