For Blog - https://scripting4ever.wordpress.com/2022/09/03/deploying-mlflow-app-in-gcp-using-terraform/

Pre-PreRequisites
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[A] In Local machine
- Install docker (To build images and pull)
- Install "Gcloud" CLI tools
- Install Terraform

[B] In GCP
- Make sure you have a separate project for this purpose (If needed, create budget alert to track the expenses)
- Create a Service account -> Assign "Owner" primitive role to this account -> Download the JSON key
- Enable the following API
	- Cloud SQL
	- Secret Manager
	- Cloud Run
	

Method
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- Open terraform.tfvars and fill the values accordingly
	keyfile - Absolute path to the Service Account key file 
	mlflow_tracking_username - username for mlflow
	mlflow_tracking_password - password for mlflow

- gcloud auth login 
- gcloud auth configure-docker

- terraform init
- terraform plan
- terraform apply -auto-approve
- To destroy the resources -> terraform destroy -auto-approve


Note
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- Terraform will output the "Cloud run" service url in the output
- Totally it will take 15-20 min to create the resources (More time for Cloud SQL) and 3-5 minutes to destroy the resources
- Cloud SQL DB instance name must be set different each time, because, for 1 week we cannot use the same name
- If you get "failed to delete database" error -> Wait for another 15 min and delete the resources