https://github.com/fpgmaas/cloudrun-example-infra

Example Terraform project used in the blogpost 'Deploying a Flask API to Google Cloud Run using Terraform'
https://github.com/fpgmaas/cloudrun-example-infra

cloudrun gcp gcp-cloud-run google google-cloud-run terraform

Last synced: 15 days ago
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Example Terraform project used in the blogpost 'Deploying a Flask API to Google Cloud Run using Terraform'

• Host: GitHub
• URL: https://github.com/fpgmaas/cloudrun-example-infra
• Owner: fpgmaas
• Created: 2022-06-17T06:08:45.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-08-19T07:13:05.000Z (about 2 years ago)
• Last Synced: 2023-03-03T20:51:44.235Z (over 1 year ago)
• Topics: cloudrun, gcp, gcp-cloud-run, google, google-cloud-run, terraform
• Language: HCL
• Homepage: https://fpgmaas.com/blog/deploying-a-flask-api-to-cloudrun-2
• Size: 27.3 KB
• Stars: 2
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# cloudrun-example-infra

This is a repository that contains the code used to set up the cloud infrastructure for [this blog post](https://fpgmaas.com/blog/deploying-a-flask-api-to-cloudrun-2). The related GitHub repository with the Flask API can be found [here](https://github.com/fpgmaas/cloudrun-example-api).

## 1. Prerequisites

- A GCP Project with a service account that has the following roles:

    - Editor

    - Service Usage Admin

    - Artifact Registry Administrator

    - Cloud Run Admin

    - Project IAM Admin

## 2. Deploying a new version of the infrastructure

- If this is the first time deploying the infrastructure, perform the steps in section 3 of the README first. Otherwise, continue with the steps listed below.

- Use the service account `docker-pusher` to push a Docker image to the artifact repository. See e.g. [here](https://github.com/fpgmaas/cloudrun-example-api).

- Set `docker_image` in `main/variables.tf` to the name of the Docker image.

- Create a Pull Request for merging the branch with your desired changes into `main`. A comment will be added with the output of `terraform plan`.

- Create a new release through the GitHub UI. This will trigger the workflow that 

calls `terraform apply`.

## 3. Initializing the repository & architecture

### 3.1 Setting up the Terrafom state bucket

- Download your service account key in the `.json`-format and store it as `infra_service_account.json`.

- Run `cp .env.template .env` and add the absolute path to your service account in the `.env` file.

- Create the bucket for the Terraform backend with:

    - `source .env`

    - `terraform -chdir=backend init`

    - `terraform -chdir=backend apply`

- Find the name of the created GCP bucket in Cloud Storage on GCP, and enter it in `main/backend.tf`

### 3.2 Deploying the initial architecture

- Set the variable `first_time` in `main/variables.tf` to `true`.

- Create the initial infrastructure with:

    - `terraform -chdir=main init`

    - `terraform -chdir=main apply`

### 3.3 Prepare the repository for deploying through CI/CD

- Copy the contents of `infra_service_account.json` and paste them into a repository secret with the name `GOOGLE_CREDENTIALS`

- Set the variable `first_time` in `main/variables.tf` to `false`.