I'm running on MacOS and ran into the following error after running the make commands and deploying a Cloud Build Service. The error occurs when the service attempts to spin up. The error is:

Container failed to start. Failed to start and then listen on the port defined by the PORT environment variable.

This is covered in the Google Cloud docs Container failed to start.

In order for Cloud Run to work, it needs the container image compiled for 64-bit Linux:

Note: If you build your container image on a ARM based machine, then it might not work as expected when used with Cloud Run. To solve this issue, build your image using Cloud Build.

It suggests using Cloud Build. I tried that with:

IMAGE_NAME=mlflow-gcp
VERSION=0.20
GCP_PROJECT=urbn-data-science
IMAGE_URL="gcr.io/${GCP_PROJECT}/${IMAGE_NAME}:${VERSION}"
gcloud builds submit --tag $IMAGE_URL

When I deploy with an image built from Cloud Build, it works!

I'll provide a PR for you to consider for merging in with these notes.

Very interesting work, I followed it quite a bit

Successfully tagged mlflow-gcp:latest
docker tag "mlflow-gcp" "gcr.io//mlflow-gcp:0.20"
Error parsing reference: "gcr.io//mlflow-gcp:0.20" is not a valid repository/tag: invalid reference format
make: *** [Makefile:10: tag] Error 1

Hello there,
Thanks for the good tutorial.
I have followed every instruction but I can’t access the service: the user/password that I try to enter to the nginx auth are not valid. I suspect that there are some problems reading secrets, although I created a service account as described. There are no suspicious logs and I am stuck. I’ve tried to recreate the cloud run few times, same result.
Any clues on how to debug? :)

I have followed all the tutorial, was able to log on the mlflow server but then i get this message "something went wrong" on the uI interface.
Do you know why ?
In logs i have an error of engine, the password is seen as the port. I have followed the same path as you provide for engine but it does not seem to work.