An application team has developed a prototype of a containerized web application and need it deployed to Google Cloud for testing. After talking with the team about what the app needs to run, you have agreed that Cloud Run is the easiest way for them to get their container running. The team agreed to use Terraform to manage the cloud infrastructure, but they are on a tight timetable and do not have time to start from scratch. Using a community module found on the Terraform Registry, deploy the Cloud Run service. Once the service is deployed, update the Terraform code to output the service URL each time the Terraform configuration is applied. This way, the developers will not need to access the GCP console after each deployment, which will save them time.
Learning Objectives
Successfully complete this lab by achieving the following learning objectives:
- Identify a Community Module for a Cloud Run Service, and Use It to Deploy the ‘gcr.io/cloudrun/hello’ Container as a Service
- Find a Cloud Run community module on the Terraform Registry.
- In Cloud Shell, create a
terraform
directory and amain.tf
file in that directory. - Create a
terraform
block, defining version and provider information. - Create a
cloud_run
module, defining service information. - Execute
terraform init
. - Enable the Cloud Run API.
- Execute
terraform plan
. - Execute
terraform apply
. - Check that the service was deployed.
- Update the Terraform Code to Output the Cloud Run Service URL Each Time ‘terraform apply’ Is Executed
- Check the outputs information in the Terraform Registry.
- Create an
output
block in themain.tf
file. - Run
terraform apply
.