- Copy
terraform.tfvars.backup
toterraform.tfvars
- Enable Google Cloud APIs
gcloud services enable cloudfunctions.googleapis.com
gcloud services enable storage.googleapis.com
gcloud services enable cloudbuild.googleapis.com
- Start terraform and deploy
terraform init
terraform plan
terraform apply
To deploy a serverless function on Google Cloud Platform (GCP) using Terraform, the process involves:
- Packaging your function's code into a zip file
- Uploading it to a Cloud Storage bucket
- Creating a Cloud Function resource that uses this uploaded code.
-
Serverless Function: A serverless function is a piece of code that runs in response to events without requiring you to manage a server or runtime environment. It scales automatically and you only pay for the compute time you consume.
-
Cloud Storage Bucket: The bucket serves as a storage location for the zipped source code of your serverless function. It's necessary because Google Cloud Functions requires the source code to be accessible from Cloud Storage for deployment.
-
Terraform Automation:
terraform.tfvars
: Before running Terraform, you copyterraform.tfvars.backup
toterraform.tfvars
to provide required configurations like project ID and region.terraform init
: Initializes Terraform, setting up the necessary plugins.terraform plan
: Shows what Terraform intends to do based on your configurations. It's a way to review changes before applying them.terraform apply
: Executes the deployment, creating the Cloud Storage bucket (if it doesn't already exist), uploading the zipped function code, and deploying the Cloud Function.