add better note about minio example

doc/source/servers/overview.md

@@ -136,15 +136,15 @@ type: Opaque
 data:
   AWS_ACCESS_KEY_ID: XXXX
   AWS_SECRET_ACCESS_KEY: XXXX
-  AWS_ENDPOINT: XXXX
+  AWS_ENDPOINT_URL: XXXX
   USE_SSL: XXXX
 ```
 
 You can also create the secret with the following command:
 
 ```
 kubectl create secret generic seldon-init-container-secret \
-    --from-literal=AWS_ENDPOINT='XXXX' \
+    --from-literal=AWS_ENDPOINT_URL='XXXX' \
     --from-literal=AWS_ACCESS_KEY_ID='XXXX' \
     --from-literal=AWS_SECRET_ACCESS_KEY='XXXX' \
     --from-literal=USE_SSL=false
@@ -173,7 +173,7 @@ executor:
 
 It is also possible to provide an override value when you deploy your model using the SeldonDeploymen YAML. You can do this through the `envSecretRefName` value:
 
-```
+```yaml
 apiVersion: machinelearning.seldon.io/v1alpha2
 kind: SeldonDeployment
 metadata:
@@ -191,6 +191,17 @@ spec:
     replicas: 1
 ```
 
+### Examples
+
+#### MinIO running inside same Kubernetes cluster
+Assuming that you have MinIO instance running on port `9000` avaible at `minio.minio-system.svc.cluster.local` and you want to reference bucket `mymodel` you would set
+```
+AWS_ENDPOINT_URL=http://minio.minio-system.svc.cluster.local:9000
+```
+with `modelUri` being set as `s3://mymodel`.
+
+For full example please see this [notebook](../examples/minio-sklearn.html).
+
 ## Adding Credentials for Google Cloud
 
 Currently the Google Credentials require a file to be set up so the process required involves creation of a service account as outlined below.