Merge pull request #34 from artefactory/fix/read_from_gcs

Fix/read from gcs

IaC/modules/mlflow/log_pusher/main.tf

@@ -28,6 +28,6 @@ resource "google_project_iam_member" "log_pusher_iap" {
 
 resource "google_project_iam_member" "log_pusher_storage" {
   project = var.project_id
-  role    = "roles/storage.objectCreator"
+  role    = "roles/storage.objectAdmin"
   member = "serviceAccount:${google_service_account.log_pusher.email}"
 }

README.md

@@ -5,9 +5,9 @@ A tool to deploy a mostly serverless MLflow on a GCP project with one command
 
 ### Pre-requesites
 - A GCP project on which you are owner
-- Initialized gcloud SDK
+- Initialized gcloud SDK with your owner account
 - Docker engine running
-- No app engine application running
+- No app engine application running and no consent screen already setup
 
 ### Deploying
 Fill out the `vars` file.
@@ -26,7 +26,7 @@ Fill out the `vars` file.
 - Enables the necessary services
 - Builds and pushes the MLFlow docker image
 - Creates a private IP CloudSQL (MySQL) database for the tracking server
-- Creates an AppEngine Flex service for the web UI, secured by IAP
+- Creates an AppEngine Flex  on the default service for the web UI, secured by IAP
 - Manages all the network magic
 - Creates the `mlflow-log-pusher` service account